第四届统计与数据科学联合会议（JCSDS 2026）¶
2026 年 7 月 11–13 日 · 贵州 · 官方日程
本页是全会日程的结构化存档与深读入口。全会共 6 场大会报告 + 697 场分会报告，分布在 158 个分会场、21 个会场、3 个会期；涉及讲者约 695 位、单位约 227 家。
- 主题导航：按研究方向聚合分会场，每个专题页含摘要检索与逐场精读。
- 完整日程：页面底部按日期/会场列出全部报告，包含题目、讲者、单位——即使某场报告暂未检索到对应论文，也能看到「谁在讲、讲什么主题」。
主题导航¶
精读进度分批推进；「专题页」列为空表示尚未生成，可先在下方完整日程中浏览。
| 主题 | 分会场 | 报告数 | 专题页 |
|---|---|---|---|
| 大会报告 Plenary | 6 | 6 | PLENARY |
| 因果推断 Causal Inference | 12 | 54 | A、B、C |
| 网络与图数据 Networks & Graphs | 18 | 86 | A、B、C、D、E |
| 深度学习与大模型 Deep Learning & LLM | 8 | 36 | A、B |
| 高维统计 High-Dimensional Statistics | 18 | 83 | A、B、C、D、E |
| 生物医学与基因组 Biomedical & Genomics | 23 | 106 | A、B、C、D、E、F |
| 金融与计量经济 Finance & Econometrics | 10 | 46 | A、B、C |
| 强化学习与决策 RL & Decision | 1 | 4 | RL |
| 隐私·联邦·分布式 Privacy·Federated·Distributed | 8 | 42 | A、B |
| 概率论与随机过程 Probability & Stochastic Processes | 9 | 35 | A、B |
| 可信·公平·稳健 Trustworthy·Fair·Robust | 5 | 23 | TRUSTWORTHY |
| 时间序列与时空 Time Series & Spatio-Temporal | 4 | 20 | TIMESERIES |
| 环境·气候·地球 Environmental·Climate·Earth | 4 | 22 | ENVIRON |
| 机器学习理论与方法 ML Theory & Methods | 15 | 66 | A、B、C、D |
| 实验设计·测量·心理 Design·Measurement·Psychometrics | 1 | 6 | EDU_PSY |
| 统计学史与文化 History & Culture | 1 | 4 | HIST |
| 其他 Other | 15 | 64 | A、B、C、D |
完整日程¶
7 月 11 日（周六）¶
09:00-09:50 · Colourful Guizhou Ballroom · Plenary Talk（1 场）
*主持：Jiashun Jin（Southeast University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 09:00-09:50 | Nobel Prizes for Data Science | David Donoho | Stanford University |10:10-11:00 · Colourful Guizhou Ballroom · Plenary Talk（1 场）
*主持：Jianqing Fan（Princeton University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:10-11:00 | Nonparametric Estimators of Nonstationary Densities of Streaming Data | Aurore Delaigle | University of Melbourne |11:00-11:50 · Colourful Guizhou Ballroom · Plenary Talk（1 场）
*主持：Hongyu Zhao（Yale University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 11:00-11:50 | Bridging Minds and Machines: Rethinking Embodied Intelligence and Agentic AI | Bingyi Jing | The Chinese University of Hong Kong, Shenzhen |13:30-15:10 · Colourful Guizhou Ballroom 2 · Networks and Modern Learning（4 场）
*组织：Jianqing Fan（Princeton University） · 主持：Jianqing Fan（Princeton University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Counting Cycles with AI | Jiashun Jin | Southeast University | | 2 | 13:55-14:20 | Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation | Annie Qu | University of California Santa Barbara | | 3 | 14:20-14:45 | Reinforcement Learning in the Physical World | Yuhua Zhu | University of California, Los Angeles | | 4 | 14:45-15:10 | Naive and Optimal Portfolios Reconciled: A Golden Criterion | Zhengjun Zhang | Beijing University of Chinese Medicine |15:30-17:10 · Colourful Guizhou Ballroom 2 · Learning, Inference, and Influence: New Frontiers in Data and AI（4 场）
*组织：Yang Feng（New York University） · 主持：Yang Feng（New York University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Few-Shot Personalization for Nonparametric Regression with Minimax Optimality | Sai Li | Tsinghua University | | 2 | 15:55-16:20 | Statistical Inference for Large Potts Models | Zhao Ren | University of Pittsburgh | | 3 | 16:20-16:45 | Stance Draft: How AI Middlemen Change What We Mean | Xin Tong | The University of Hong Kong | | 4 | 16:45-17:10 | Designing Randomized Experiments under Network Interference | Jingfei Zhang | Emory University |13:30-15:10 · Colourful Guizhou Ballroom 1 · Statistics for Business（4 场）
*主办：Commerce Statistics Society of China · 组织：Kuangnan Fang（Xiamen University） · 主持：Kuangnan Fang（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Limit Theorems for Network Data without Metric Structure | Xingbai Xu | Xiamen University | | 2 | 13:55-14:20 | Time-Varying Factor-Augmented Forecasting Regressions with Nonstationarity | Tingting Cheng | Nankai University | | 3 | 14:20-14:45 | Generalized Tensor Completion with Non-Random Missingness | Biao Cai | City University of Hong Kong | | 4 | 14:45-15:10 | Heterogeneous Multisource Transfer Learning via Model Averaging for Positive-Unlabeled Data | Kuangnan Fang | Xiamen University |15:30-17:10 · Colourful Guizhou Ballroom 1 · AI for Complex Systems: Methods and Applications（4 场）
*组织：Bingyi Jing（The Chinese University of Hong Kong, Shenzhen） · 主持：Jing Zhou（Renmin University of China）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Flexformer: Flexible Linear Transformer with Learnable Attention Kernel | Feng Zhou | Renmin University of China | | 2 | 15:55-16:20 | Communication-Efficient Distributed Statistical Analysis under Differential Privacy | Haobo Qi | Beijing Normal University | | 3 | 16:20-16:45 | Multiple Instance Learning for Multi-Label Data | Xuetong Li | Xi'an Jiaotong University | | 4 | 16:45-17:10 | LUMEN: A Large-Language-Model Guided Unified Multimodal Framework for Robust Prediction of Pulmonary Dysfunction | Jing Zhou | Renmin University of China |13:30-15:10 · Colourful Guizhou Ballroom 3 · 临床研究与数据监管2（4 场）
*组织：Yuantao Hao（Peking University） · 主持：Zhixing Peng（Chinese Center for Disease Control and Prevention）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | 新时代人工智能赋能传染病监测预警的理论与实践 | Zhixing Peng | Chinese Center for Disease Control and Prevention | | 2 | 13:55-14:20 | Mean-Independent Fair Representation Learning with Excess-Risk Guarantees | Baiyu Chen | University of Science and Technology of China | | 3 | 14:20-14:45 | Assessing Spatial Transmission Risk of Respiratory Infectious Diseases Across Urban Tiers in China: A Modelling Study | Ye Yao | Fudan University | | 4 | 14:45-15:10 | 改写乙肝临床指南的真实世界数据建模分析 | Mingwang Shen | Xi'an Jiaotong University |15:30-17:10 · Colourful Guizhou Ballroom 3 · Statistical AI Methods for Health and Medicine（4 场）
*组织：Jun Wen（Mohamed bin Zayed University of Artificial Intelligence） · 主持：Jun Wen（Mohamed bin Zayed University of Artificial Intelligence）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Beyond Next-Token Prediction: A Health State Trajectory Model | Sheng Yu | Tsinghua University | | 2 | 15:55-16:20 | Modeling and Predicting Single-Cell Multi-Gene Perturbation Responses | Hongyu Zhao | Yale University | | 3 | 16:20-16:45 | Agentic AI for Life Science | Weidi Xie | Shanghai Jiao Tong University | | 4 | 16:45-17:10 | Algorithm-Dependent Learning Analysis of Over-Parameteried Neural Networks | Yuan Cao | The University of Hong Kong |13:30-15:10 · Xiangyuan Room · Mathematical Foundations of Deep Learning（4 场）
*主办：IMS China · 组织：Weijie Su（University of Pennsylvania） · 主持：Linjun Zhang（Rutgers University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Condensation Sheds Light to the Mathematical Foundation of Deep Neural Networks | Yaoyu Zhang | Shanghai Jiao Tong University | | 2 | 13:55-14:20 | A Functional Perspective for Understanding Neural Scaling Laws | Lei Wu | Peking University | | 3 | 14:20-14:45 | The Phi Curve: Generalization Under Suitable Model Capacities in Modern Machine Learning-From Deterministic Equivalence to Function Spaces | Fanghui Liu | Shanghai Jiao Tong University | | 4 | 14:45-15:10 | Data Optimization for LLM Mid-Training and Post-Training | Jingzhao Zhang | Tsinghua University |15:30-17:10 · Xiangyuan Room · Interacting Particle System and Related Models（4 场）
*主办：IMS China · 组织：Xinxin Chen（Beijing Normal University） · 主持：Xinxin Chen（Beijing Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | 分数ARIMA过程的阶选择 | Chunhao Cai | Sun Yat-sen University | | 2 | 15:55-16:20 | On Phase Transition of a Multi Particle Pool Model | Yuan Zhang | Renmin University of China | | 3 | 16:20-16:45 | Shape of Large Feynman Cycles under BEC | Wen Sun | University of Science and Technology of China | | 4 | 16:45-17:10 | Statistical Learning Problems in IPS: Learning Multi‑Type Heterogeneous Interacting Particle Systems | Xiong Wang | Sun Yat-sen University |13:30-15:10 · Qunsheng Room · Recent Advances in Reinforcement Learning（4 场）
*主办：IMS China · 组织：Cong Ma（University of Chicago） · 主持：Cong Ma（University of Chicago）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | From Nonparametric Statistics to LLM Reasoning | Chengchun Shi | London School of Economics and Political Science | | 2 | 13:55-14:20 | What Should Post-Training Optimize? A Test-Time Scaling Law Perspective | Muheng Li | University of Toronto | | 3 | 14:20-14:45 | Acceleration for Diffusion Models: Theory and Practice | Gen Li | The Chinese University of Hong Kong | | 4 | 14:45-15:10 | The Statistical Price of Few Updates: Efficiency and Adaptivity in Batched Contextual Bandits | Cong Ma | University of Chicago |15:30-17:10 · Qunsheng Room · Recent Advances in Statistical Methods and Theory（4 场）
*主办：IMS China · 组织：Cong Ma（University of Chicago） · 主持：Cong Ma（University of Chicago）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Nonlinear Alignment and Joint Embedding of High-Dimensional Data | Rong Ma | Harvard University | | 2 | 15:55-16:20 | Aggregating Dependent Signals: Validity and Power of Heavy-Tailed Combination Tests | Jingshu Wang | University of Chicago | | 3 | 16:20-16:45 | Data Reconstruction: Identifiability and Optimization with Sample Splitting | Qi Lei | New York University | | 4 | 16:45-17:10 | A Model-Agnostic Ensemble Framework for Feature Selection via Adaptive Minipatch Subsampling | Lili Zheng | University of Illinois Urbana-Champaign |13:30-15:10 · Xijiang Room · Probability and Asymptotic Theory（4 场）
*主办：Bernoulli Society for Mathematical Statistics and Probability · 组织：Xiao Fang（The Chinese University of Hong Kong） · 主持：Yuta Koike（The University of Tokyo）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Sampling Error Bounds for the Denoising Diffusion Probabilistic Model via the Föllmer Process | Yuta Koike | The University of Tokyo | | 2 | 13:55-14:20 | Gaussian Fluctuations of Generalized U-Statistics and Subgraph Counting in the Binomial Random-Connection Model | Nicolas Privault | Nanyang Technological University | | 3 | 14:20-14:45 | Decay of Correlations and Limit Theorems for Random Intermittent Dynamical Systems | Juho Leppanen | Tokai University | | 4 | 14:45-15:10 | Berry–Esseen Bounds for Distributed Studentized Statistics | Zhijun Cai | Southern University of Science and Technology |15:30-17:10 · Xijiang Room · Financial Econometrics（4 场）
*组织：Ying Fang（Xiamen University） · 主持：Ying Fang（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Multi-Task with Auxiliary Information for Massive Data and Applications | Yong Zhou | East China Normal University | | 2 | 15:55-16:20 | Fixed-k Inference for Explosive Drift | Jia Li | Singapore Management University | | 3 | 16:20-16:45 | Asset Pricing Models with Network Effects | Kunpeng Li | Capital University of Economics and Business | | 4 | 16:45-17:10 | Prediction-Powered Linear Regression: A Balance between Interpretation and Prediction | Xinyu Zhang | Chinese Academy of Sciences |13:30-15:10 · Zhenyuan Room · Regional and Urban Economics and Experimental Design（6 场）
*主持：Hao Cheng（Minzu University of China）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | Privacy-Preserving Multi-Source Transfer Learning for Credit Risk Prediction with Mixture Cure Models | Ankang Jiao | Hunan University | | 2 | 13:46-14:02 | 中国城市经济增长的收敛性：来自284个城市及六大区域的证据 | Yaxing Ji | Xiamen University | | 3 | 14:02-14:18 | Connected Space, Vibrant City: The Impact of Public Service Accessibility on Service Consumption Vitality | Shucheng Liu | Xiamen University | | 4 | 14:18-14:34 | Gaussianized Design Optimization for Covariate Balance in Randomized Experiments | Wenxuan Guo | University of Chicago | | 5 | 14:34-14:50 | 安徽省低空经济产业链发展协同度测度及经济效应分析 | Hao Song | Chaohu University | | 6 | 14:50-15:06 | Efficient Imputation Methods in Functional Structural Equation Model with Missing Data | Hao Cheng | Minzu University of China |15:30-17:10 · Zhenyuan Room · Recent Advances in Network Analysis（4 场）
*组织：Jiashun Jin（Southeast University） · 主持：Jingming Wang（University of Virginia）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Statistical Inference for Latent Space Models of Network Data with Edge Covariates | Ji Zhu | University of Michigan | | 2 | 15:55-16:20 | Non-Asymptotic Gaussian Approximation for Two-Timescale Stochastic Approximation | Vladimir Ulyanov | Moscow State University | | 3 | 16:20-16:45 | Causal Mediation Analysis with Partially Observed Mediators | Jin Zhou | University of California, Los Angeles | | 4 | 16:45-17:10 | Towards Robust Machine Learning under Imperfect Data | Ruizhi Pu | Southeast University |13:30-15:10 · Libo Room · Federated Learning and Statistical Data Privacy（4 场）
*主办：Chinese Society for Probability and Statistics · 组织：Wenguang Sun（Zhejiang University）、Sheng Yu（Tsinghua University） · 主持：Yajie Bao（Nankai University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Learning Sparse Support under Differential Privacy: Minimax Rates and Adaptive Algorithms | Jia Gu | Zhejiang University | | 2 | 13:55-14:20 | Differentially Private Minimax and Adaptive Bandable Covariance Matrix Estimation | Yicheng Li | East China Normal University | | 3 | 14:20-14:45 | Private Decentralized Federated Learning with Random Walk | Chendi Wang | Xiamen University | | 4 | 14:45-15:10 | Statistical Inference for Differentially Private Stochastic Gradient Descent | Xintao Xia | Zhejiang University |15:30-17:10 · Libo Room · Trustworthy and Privacy-Preserving Statistical Learning（4 场）
*组织：Jinyuan Chang（Southwestern University of Finance and Economics） · 主持：Jinyuan Chang（Southwestern University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Knockoffs Inference under Privacy Constraints | Lan Gao | University of Tennessee, Knoxville | | 2 | 15:55-16:20 | Training-Free Multi-Agent Language Models | Xiaowu Dai | University of California, Los Angeles | | 3 | 16:20-16:45 | A Sparse Learning Framework for High-Dimensional Newsvendor under Privacy Constraints | Yichen Zhang | Purdue University | | 4 | 16:45-17:10 | Adapting to Noise Tails in Private Linear Regression | Wenxin Zhou | University of Illinois Chicago |13:30-15:10 · Baihua Meeting Room · Statistics for Finance, Economics and Business（4 场）
*组织：Qiwei Yao（London School of Economics and Political Science） · 主持：Baojun Dou（City University of Hong Kong）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Testing for Granger Causality in Extreme Risk: A Two-Stage Generalized Cross-Spectral Approach | Yongmiao Hong | University of Chinese Academy of Sciences | | 2 | 13:55-14:20 | Network Analysis of Business Cycle Synchronisation | Jia Chen | University of Macau | | 3 | 14:20-14:45 | Forecasting Global Economy with SIGMAR: Sparsity-Induced Global Matrix AutoRegressive Model | Dan Yang | The University of Hong Kong | | 4 | 14:45-15:10 | Pairs Trading: A Change Point Perspective | Baojun Dou | City University of Hong Kong |15:30-17:10 · Baihua Meeting Room · Learning for Voice, Adversarials, Digital Twin and Changepoints（4 场）
*组织：Songxi Chen（Tsinghua University） · 主持：Songxi Chen（Tsinghua University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Accent Matters: Communication Costs and Information Content in Analyst-Manager Dialogue | Feng Li | Peking University | | 2 | 15:55-16:20 | USAD: Uncertainty-Aware Statistical Adversarial Detection | Liuhua Peng | University of Melbourne | | 3 | 16:20-16:45 | Digital Twin for Behavior Change Interventions: A Case Study on HeartSteps Trials | Hang Zhou | UNC Chapel-Hill | | 4 | 16:45-17:10 | Spatial-Sign Based High Dimensional Change Point Inference | Long Feng | Nankai University |13:30-15:10 · Hongfeng Meeting Room · Statistical Innovation for Trustworthy AI（4 场）
*组织：Linglong Kong（University of Alberta） · 主持：Jinhan Xie（Yunnan University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | A Successive Classification Learning for Estimating Quantile Optimal Treatment Regimes | Dehan Kong | University of Toronto | | 2 | 13:55-14:20 | Model-Free Checking Meets Cross-Domain Data: A Transfer Learning Approach | Wangli Xu | Renmin University of China | | 3 | 14:20-14:45 | AI Safe: Statistical Methods for Security Protection from Small to Large Models | Xiaodong Yan | Xi'an Jiaotong University | | 4 | 14:45-15:10 | Location-Scale Quantile Regression with Functional Responses | Lingzhu Li | Beijing University of Technology |15:30-17:10 · Hongfeng Meeting Room · Statistical Perspectives on Causal Inference and Modern Machine Learning（4 场）
*主办：Bernoulli Society for Mathematical Statistics and Probability · 组织：Xingqiu Zhao（The Hong Kong Polytechnic University） · 主持：Xingqiu Zhao（The Hong Kong Polytechnic University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis | Linglong Kong | University of Alberta | | 2 | 15:55-16:20 | Identification and Inference with Many Weak Interaction Moments | Zhonghua Liu | Columbia University | | 3 | 16:20-16:45 | Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables | Yifan Cui | Zhejiang University | | 4 | 16:45-17:10 | A General Framework for Fair and Robust Regression | Wen Su | City University of Hong Kong |13:30-15:10 · Doupeng Mountains Meeting Room · Generative AI and Synthetic Data-Powered Statistical Inference（4 场）
*组织：Xihong Lin（Harvard University） · 主持：Xihong Lin（Harvard University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Harnessing Synthetic Data from Generative AI for Statistical Inference | Xihong Lin | Harvard University | | 2 | 13:55-14:20 | Enhancing Protein Sequence Analysis with Synthetic Data and Foundation Models | Jian Huang | The Hong Kong Polytechnic University | | 3 | 14:20-14:45 | LLM-Powered Deep Panel Modeling | Jingyuan Liu | Xiamen University | | 4 | 14:45-15:10 | Generative AI on Smooth Manifold | Haoda Fu | Amgen |15:30-17:10 · Doupeng Mountains Meeting Room · Some Aspects Related to Feature Learning（4 场）
*组织：Qian Lin（Tsinghua University） · 主持：Qian Lin（Tsinghua University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | High-Dimensional Online Learning via Asynchronous Decomposition | Zhifan Li | Zhongnan University of Economics and Law | | 2 | 15:55-16:20 | 求解高维问题的机器学习算法 | Hehu Xie | Chinese Academy of Sciences | | 3 | 16:20-16:45 | Sampling Complexity of Temporal Difference and PPO in RKHS | Ding Liang | Fudan University | | 4 | 16:45-17:10 | In-Context Learning as Nonparametric Conditional Probability Estimation: Risk Bounds and Optimality | Falong Tan | Hunan University |13:30-15:10 · Songbai Mountains Multifunctional Meeting Room · Statistical Methods for Empirical Asset Pricing（4 场）
*组织：Wei Lan（Southwestern University of Finance and Economics） · 主持：Wei Lan（Southwestern University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Estimation of Treatment Effects Without Ignorability Using Observational Studies | Guoliang Ma | Xiamen University | | 2 | 13:55-14:20 | The Ties That Bind: Portfolio Construction and Factor Momentum | Siyuan Ma | Southwestern University of Finance and Economics | | 3 | 14:20-14:45 | Testing Asset Pricing Factor Models: An Out-of-Sample Perspective | Jun Zhang | Southeast University | | 4 | 14:45-15:10 | Granular Instrumental Variables: Estimation and Inference | Wenyu Zhou | Zhejiang University |15:30-17:10 · Songbai Mountains Multifunctional Meeting Room · Modern Statistical Methods for Complex Data Problems（4 场）
*组织：Yumou Qiu（Peking University） · 主持：Shuyi Zhang（East China Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Prediction-Powered Inference for AI-Based Phenotyping from Maize Field Images | Peng Liu | Iowa State University | | 2 | 15:55-16:20 | Generalized Entropy Calibration for Integrating Probability and Non-Probability Samples | Yonghyun Kwon | Korea Military Academy | | 3 | 16:20-16:45 | 粒数据理论：面向事件完整性的数据治理数理框架与高质量数据集建设 | Yushan Xue | Central University of Finance and Economics | | 4 | 16:45-17:10 | Gene Ontology DAG-Aware Conformal FDR Control for Multi-Label Protein Function Prediction: A Maize Application | Chong Wang | Iowa State University |13:30-15:10 · Fanjing Mountains Meeting Room · Advances in Causal Inference and Adaptive Learning（4 场）
*组织：Jingfei Zhang（Emory University） · 主持：Jingfei Zhang（Emory University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Unsupervised Federated Multi-Task Learning for Heterogeneous Tasks | Yang Feng | New York University | | 2 | 13:55-14:20 | SMS: Symmetric Mediation Statistics for Powerful High-Dimensional Mediation Analysis | Yijuan Hu | Peking University | | 3 | 14:20-14:45 | Optimizing Dynamic Treatment Regimes under Spatial Interference: Evidence from COVID-19 School Closures | Yunan Wu | Tsinghua University | | 4 | 14:45-15:10 | Hierarchical Projection for Adaptive Knowledge Transfer | Tian Gu | Columbia University |15:30-17:10 · Fanjing Mountains Meeting Room · Prediction-Powered Inference and Network Data Analysis（4 场）
*组织：Kuangnan Fang（Xiamen University） · 主持：Yongqin Qiu（University of Science and Technology of China）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | When Less Is More: Binary Feedback Can Outperform Ordinal Comparisons in Ranking Recovery | Shirong Xu | Xiamen University | | 2 | 15:55-16:20 | Penalized Network Cross-Validation for Nested Models by Edge-Sampling | Yuanxing Chen | Tsinghua University | | 3 | 16:20-16:45 | Inference for Network-Linked Data with Latent Position | Dan Pu | Southwestern University of Finance and Economics | | 4 | 16:45-17:10 | A Generalized Network Autoregressive Model with Endogenous Aggregation and Heterogeneous Influence | Yan Zhang | Shanghai University of International Business and Economics |13:30-15:10 · Qingyan Boardroom · Modern Sampling Techniques and Applications（4 场）
*组织：Guohua Zou（Capital Normal University） · 主持：Wangxue Chen（Jishou University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Imperfect Extreme Ranked Set Sampling Design: A Framework for Robust and Efficient Inference | Wangxue Chen | Jishou University | | 2 | 13:55-14:20 | 面向视频数据的抽样调查设计与预测增强推断方法研究 | Hengjun Huang | Lanzhou University of Finance and Economics | | 3 | 14:20-14:45 | Research on Dual-System Estimator Based on Census and Mobile Phone Number Data | Guijun Yang | Tianjin University of Finance and Economics | | 4 | 14:45-15:10 | Design and Application of Dynamic Composite Sampling Method Based on the Occurrence Location of Economic Activities | Weiqun Zhang | Xi'an University of Finance and Economics |15:30-17:10 · Qingyan Boardroom · Model Averaging and Related Spheres (MARS)（4 场）
*组织：Xinyu Zhang（Chinese Academy of Sciences） · 主持：Ziwen Gao（Tsinghua University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Site-Varying Spatial Autoregression: Spatial Heterogeneity and Model Uncertainty | Jun Liao | Renmin University of China | | 2 | 15:55-16:20 | Model Averaging for Support Vector Classifier | Jiahui Zou | Capital University of Economics and Business | | 3 | 16:20-16:45 | Generalized Transfer Learning Based on Mallows Model Averaging | Fen Jiang | University of Science and Technology of China | | 4 | 16:45-17:10 | Combining Pre-Trained Large Models Based on Localized Model Averaging | Ziwen Gao | Tsinghua University |13:30-15:10 · Huangguoshu Theater Meeting Room · Statistical Learning on Networks and Matrices（4 场）
*组织：Rui Pan（Central University of Finance and Economics） · 主持：Yan Zhang（Shanghai University of International Business and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Nodal Covariate Selection for Community Structures | Junlong Zhao | Beijing Normal University | | 2 | 13:55-14:20 | Common Component Recovery in Heterogeneous Chain-Linked Multiple Matrices | Xinyan Fan | Renmin University of China | | 3 | 14:20-14:45 | Hidden Block Regression: A General Framework for Multi-Response Models with Group Structures and Hidden Variables | Yuehan Yang | Central University of Finance and Economics | | 4 | 14:45-15:10 | A General Exposure-Mapping-Agnostic Framework for Causal Inference under Interference Leveraging Two-Stage Randomization | Yihui He | University of Pennsylvania |15:30-17:10 · Huangguoshu Theater Meeting Room · Inference in Statistical Models for Network Data（4 场）
*组织：Ting Yan（Central China Normal University） · 主持：Ting Yan（Central China Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Hypergraph Embeddings | Binyan Jiang | The Hong Kong Polytechnic University | | 2 | 15:55-16:20 | Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model | Dong Xia | Hong Kong University of Science and Technology | | 3 | 16:20-16:45 | 混合动态随机块模型下离散时间时序网络的快速社区检测 | Binghui Liu | Northeast Normal University | | 4 | 16:45-17:10 | Triple-Dyad Ratio Estimation for the p1 Model | Ting Yan | Central China Normal University |13:30-15:10 · Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson · Variable Selection and FDR Control and Change Point Detection（6 场）
*主持：Xueli Wang（Beijing Technology and Business University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | To Split or Not to Split: Valid Inference and Adaptive Stopping for Graph Segmentation | Jiajing Chen | Xiamen University | | 2 | 13:46-14:02 | Interval Localization with Error Rate Control in Multiple Change-Point Analysis | Zijian Wei | Shanghai Jiao Tong University | | 3 | 14:02-14:18 | Powerful Derandomized Knockoff: A Powerful and Reproducible FDR Control Approach | Changhan Jin | Beijing Normal University | | 4 | 14:18-14:34 | FDR Control and Statistical Power for High-Dimensional Semiparametric Transformation Models | Gaorong Li | Beijing Normal University | | 5 | 14:34-14:50 | Optimal Estimators and Tests for Reciprocal Effects | Yaru Tian | Southeast University | | 6 | 14:50-15:06 | Mediation Analysis with Parallel Multiple Mediators: Missing Not at Random | Xueli Wang | Beijing Technology and Business University |15:30-17:10 · Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson · Variable Selection and FDR Control and Network and Graphical Models（6 场）
*主持：Yupeng Wei（The Hong Kong University of Science and Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients | Yu Lu | Xi’an Jiaotong-Liverpool University | | 2 | 15:46-16:02 | 基于 Huber 损失的函数型数据稳健网络估计 | Yingmeng Li | Shanghai University of Finance and Economics | | 3 | 16:02-16:18 | Adaptive Penalized Doubly Robust Regression for Longitudinal Data | Yuyao Wang | Xi'an Jiaotong-Liverpool University | | 4 | 16:18-16:34 | Stable Multi-Surrogate Transformation for Robust and Generalizable Surrogacy | Keyao Zhan | Harvard University | | 5 | 16:34-16:50 | 静动态功能梯度视角下的自闭症谱系障碍层级脑网络与状态转换异常研究 | Yawen Yang | Hunan Normal University | | 6 | 16:50-17:06 | Assessment of Surrogacy Heterogeneity via a Logistic-Normal Mixture Model | Yupeng Wei | The Hong Kong University of Science and Technology |13:30-15:10 · Meeting Room, 1st Floor, Qunsheng Garden Hotel · Uncertainty Quantification and Robust Learning: From Conformal Prediction to Generative Models（6 场）
*主持：Sheng Jiang（The Chinese University of Hong Kong, Shenzhen）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | Locally-Calibrated Split Conformal Prediction | Kehan Wang | Renmin University of China | | 2 | 13:46-14:02 | Distributed Tensor Principal Component Analysis with Data Heterogeneity | Wenbo Jing | City University of Hong Kong | | 3 | 14:02-14:18 | 统计数据增强及其在遥感图像智能解译中的应用 | Chen Zheng | Henan University | | 4 | 14:18-14:34 | Conformal Robustness Control: A New Strategy for Robust Decision | Yang Hu | Shanghai Jiao Tong University | | 5 | 14:34-14:50 | Statistical Subgraph Explanations for Graph Neural Networks via Latent Node Inference | Tianqi Zheng | Minzu University of China | | 6 | 14:50-15:06 | Errors-in-Variables Gaussian Processes for Mixed-Input Regression | Sheng Jiang | The Chinese University of Hong Kong, Shenzhen |15:30-17:10 · Meeting Room, 1st Floor, Qunsheng Garden Hotel · Privacy-Preserving and Communication-Efficient Distributed Learning（6 场）
*主持：Xirui Liu（Guizhou Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | 基于机器学习与联邦学习的2型糖尿病患病风险预测模型构建研究 | Xiaoqin Zhang | Shanxi University of Finance and Economics | | 2 | 15:46-16:02 | Improving Projection Estimability of OMARS Designs via Random Perturbation | Yuxing Ye | East China Normal University | | 3 | 16:02-16:18 | FedFask: Fast Sketching Distributed PCA for Large-Scale Federated Data | Xingcai Zhou | Nanjing Audit University | | 4 | 16:18-16:34 | Communication-Efficient Estimation for Non-Randomly Distributed and Missing Data | Xirui Liu | Guizhou Normal University | | 5 | 16:34-16:50 | Deconfounding via Profiled Transfer Learning | Ziyuan Chen | Peking University | | 6 | 16:50-17:06 | Compression-Then-Aggregation of Local Risks for One-Shot Federated Learning | Qiong Wu | University of Pittsburgh |7 月 12 日（周日）¶
08:30-09:20 · Colourful Guizhou Ballroom · Plenary Talk（1 场）
*主持：Yuantao Hao（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-09:20 | Conditional Generation via Diffusion, Flow, and Schrödinger Bridges | Jun Liu | Tsinghua University |09:20-10:10 · Colourful Guizhou Ballroom · Plenary Talk（1 场）
*主持：Linglong Kong* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 09:20-10:10 | Asymptotic Theory in the AI Era | Qiman Shao | Southern University of Science and Technology |10:30-11:20 · Colourful Guizhou Ballroom · Plenary Talk（1 场）
*主持：Ying Fang（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-11:20 | Causal Generalist Medical AI | Hongtu Zhu | University of North Carolina at Chapel Hill |13:30-15:10 · Colourful Guizhou Ballroom 2 · Deep Generative Models, Distributional Evaluation, and Constrained LLM Training（4 场）
*组织：Bingyi Jing（The Chinese University of Hong Kong, Shenzhen） · 主持：Jian Huang（The Hong Kong Polytechnic University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Distributional Off-Policy Evaluation with Deep Quantile Process Regression | Qi Kuang | Jiangxi University of Finance and Economics | | 2 | 13:55-14:20 | Semi-Supervised Conditional Diffusion Models | Jin Su | The Hong Kong Polytechnic University | | 3 | 14:20-14:45 | Efficient and Provably Convergent End-to-End Training of Deep Neural Networks with Linear Constraints | Yancheng Yuan | The Hong Kong Polytechnic University | | 4 | 14:45-15:10 | Robust Graph Representation Learning via Expectile-Based Aggregation | Wei Lan | Southwestern University of Finance and Economics |15:30-17:10 · Colourful Guizhou Ballroom 2 · Statistics x AI（4 场）
*组织：Bingyi Jing（The Chinese University of Hong Kong, Shenzhen） · 主持：Xin He（Shanghai University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Deep Sparse Masks via Optimal Transport | Yixuan Qiu | Shanghai University of Finance and Economics | | 2 | 15:55-16:20 | Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression | Xin He | Shanghai University of Finance and Economics | | 3 | 16:20-16:45 | Selective Labeling with False Discovery Rate Control | Hongxin Wei | Southern University of Science and Technology | | 4 | 16:45-17:10 | Conditional Distribution Test via Flow Models | Yuan Gao | Nankai University |13:30-15:10 · Colourful Guizhou Ballroom 1 · Recent Development on High-Dimensional Data Modeling（4 场）
*组织：Runze Li（Pennsylvania State University） · 主持：Xu Guo（Beijing Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | A Statistical Framework for Alignment with Biased AI Feedback | Zhanrui Cai | The University of Hong Kong | | 2 | 13:55-14:20 | Inference of High-Dimensional Weak Instrumental Variable Regression Models without Ridge-Regularization | Xu Guo | Beijing Normal University | | 3 | 14:20-14:45 | Optimal Multi-Machine Learning Assisted Semi-Supervised Inference | Baihua He | University of Science and Technology of China | | 4 | 14:45-15:10 | Strongly Consistent Community Detection in Popularity Adjusted Block Models | Danning Li | Northeast Normal University |15:30-17:10 · Colourful Guizhou Ballroom 1 · High-Dimensional Statistics and Random Matrices（4 场）
*组织：Jianfeng Yao（The Chinese University of Hong Kong, Shenzhen） · 主持：Jianfeng Yao（The Chinese University of Hong Kong, Shenzhen）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | High-Dimensional Precision Matrix Quadratic Forms: Estimation Framework for p>n | Weiming Li | Shanghai University of Finance and Economics | | 2 | 15:55-16:20 | Mean-Shift PCA by Knockoff Mean | Zeng Li | Southern University of Science and Technology | | 3 | 16:20-16:45 | Mesoscopic Dynamics in Complex Networks: A Random Matrix Perspective | Zhenggang Wang | Southeast University | | 4 | 16:45-17:10 | Orthogonalized Kernel Debiased Machine Learning for Logistic Multimodal Inference | Yaohua Rong | Beijing University of Technology |13:30-15:10 · Colourful Guizhou Ballroom 3 · 临床研究与数据监管1（4 场）
*组织：Yuantao Hao（Peking University） · 主持：Yan Hou（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Simultaneously Leveraging Individual and Summary Level External Data in Clinical Trials | Guoyou Qin | Fudan University | | 2 | 13:55-14:20 | A Pharmacokinetics-Informed Bayesian Design for Dose Optimization in Multi-Regional Clinical Trials | Fangrong Yan | China Pharmaceutical University | | 3 | 14:20-14:45 | 数字孪生和个体处理疗效估计 | Yang Zhao | Nanjing Medical University | | 4 | 14:45-15:10 | 贝叶斯适应性富集在中药研究的应用 | Yang Wang | National Center for Cardiovascular Diseases/Fuwai hospital |15:30-17:10 · Colourful Guizhou Ballroom 3 · Advances in Statistical Methods for Complex Biomedical Data（4 场）
*组织：Pei Wang（Icahn School of Medicine at Mount Sinai） · 主持：Pei Wang（Icahn School of Medicine at Mount Sinai）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations | Hua (Judy) Zhong | Weill Cornell Medicine | | 2 | 15:55-16:20 | Contextual Evaluation of MicroRNA Sequencing Data Harmonization in Machine Learning Tasks | Lixuan Qin | Memorial Sloan Kettering Cancer Center | | 3 | 16:20-16:45 | Learning Directed Acyclic Graph Models with Applications on High Throughput Omics Data | Jie Peng | University of California, Davis | | 4 | 16:45-17:10 | CausalGRN: Deciphering Causal Gene Regulatory Networks from Single-Cell CRISPR Screens | Wei Sun | Fred Hutchinson Cancer Center |13:30-15:10 · Yongkang Room · Advances in AI-Driven Statistical Learning（4 场）
*组织：Linglong Kong（University of Alberta） · 主持：Ziqi Chen（East China Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation | Yukun Liu | East China Normal University | | 2 | 13:55-14:20 | Bayesian Random Weight Neural Network Inference Engine | Wei Hao | University of Michigan | | 3 | 14:20-14:45 | Deformed Q-learning for High-Dimensional Dynamic Treatment Regimes | Dan Wang | New York University Shanghai | | 4 | 14:45-15:10 | Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting | Ziqi Chen | East China Normal University |15:30-17:10 · Yongkang Room · Recent Advances in Network Analysis and Related Areas（4 场）
*组织：Jingming Wang（University of Virginia） · 主持：Jingming Wang（University of Virginia）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Adaptive Transfer Clustering: A Unified Framework | Zhongyuan Lyu | The University of Sydney | | 2 | 15:55-16:20 | Directed Hypergraph: Tensor Representation, Embedding Modeling, and Community Detection | Mingyang Ren | Shanghai Jiao Tong University | | 3 | 16:20-16:45 | Estimation and Statistical Inference for Generalized Multilayer Latent Space Model | Haoran Zhang | Southern University of Science and Technology | | 4 | 16:45-17:10 | A Manifold Learning Method for Noisy Independent Component Analysis | Chunming Zhang | University of Wisconsin-Madison |13:30-15:10 · Xiangyuan Room · Data Integration and Surrogate Endpoint for Causal Inference（4 场）
*主办：IMS China · 组织：Peng Ding（University of California,Berkeley） · 主持：Peng Ding（University of California,Berkeley）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Estimating Long-Term Treatment Effects: a Semiparametric Proximal DiD Approach | Shu Yang | North Carolina State University | | 2 | 13:55-14:20 | Evaluating Surrogates in Individual Treatment Regimes | Yue Liu | Renmin University of China | | 3 | 14:20-14:45 | Long-Term Causal Inference under Persistent Confounding via Data Combination | Yuhao Wang | Tsinghua University | | 4 | 14:45-15:10 | Introducing the B-Value: Combining Unbiased and Biased Estimators from a Sensitivity Analysis Perspective | Peng Ding | University of California,Berkeley |15:30-17:10 · Xiangyuan Room · Design-Based Causal Inference（4 场）
*主办：IMS China · 组织：Peng Ding（University of California,Berkeley） · 主持：Peng Ding（University of California,Berkeley）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Randomization Inference with Sample Attrition | Xinran Li | University of Chicago | | 2 | 15:55-16:20 | Design-Based Prediction-Powered Inference for Edge-Level Outcomes in Directed Networks | Hanzhong Liu | Tsinghua University | | 3 | 16:20-16:45 | Principled Analysis of Crossover Designs: Causal Effects, Efficient Estimation, and Robust Inference | Zhichao Jiang | Sun Yat-sen University | | 4 | 16:45-17:10 | Model-Assisted Randomization Tests Without Sample Splitting | Yao Zhang | National University of Singapore |13:30-15:10 · Qunsheng Room · Recent Advance of Statistics and Machine Learning（4 场）
*主办：IMS China · 组织：Dong Xia（Hong Kong University of Science and Technology） · 主持：Dong Xia（Hong Kong University of Science and Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | 低秩张量优化与半参高效统计推断及其在大模型评估中的应用 | Jiachun Li | Massachusetts Institute of Technology | | 2 | 13:55-14:20 | Statistical and Computational Limits for Cumulant Tensor Inference: A Regime in Which Efficient Detection is Harder Than Efficient Estimation | Yuefeng Han | University of Notre Dame | | 3 | 14:20-14:45 | Optimal Convergence Analysis of DDPM for General Distributions | Yuchen Zhou | University of Illinois Urbana-Champaign | | 4 | 14:45-15:10 | 分布式差分隐私约束下的联邦主成分分析：最优收敛率与高效算法 | Jingyang Li | Fudan University |15:30-17:10 · Qunsheng Room · Recent Advance of Network Data Analysis and Beyond（4 场）
*主办：IMS China · 组织：Dong Xia（Hong Kong University of Science and Technology） · 主持：Yuang Tian（The Hong Kong University of Science and Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | High-Resolution Feature Identification in High-Dimensional Clustering | Lyuou Zhang | Shanghai University of Finance and Economics | | 2 | 15:55-16:20 | Regression Analysis of Reciprocity in Directed Networks | Chenlei Leng | The Hong Kong Polytechnic University | | 3 | 16:20-16:45 | Linear Regression with Probabilistic Networks for Network-Linked Data | Jingnan Zhang | University of Science and Technology of China | | 4 | 16:45-17:10 | Bridging Theory and Practice: Statistical Inference for Latent Space Models of Networks | Yuang Tian | The Hong Kong University of Science and Technology |13:30-15:10 · Xijiang Room · Recent Advances in Change Point Analysis for Complex Data: High-Dimensional Time Series and Dynamic Networks（4 场）
*组织：Yao Hu（Guizhou University） · 主持：Yao Hu（Guizhou University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Scale-Free Correlation Change-Point Detection in High-Dimensional Dynamic Networks | Yao Hu | Guizhou University | | 2 | 13:55-14:20 | Algorithm-Agnostic Post-Clustering Differential Expression Analysis with Asymptotic FDR Control | Mengtao Wen | Nankai University | | 3 | 14:20-14:45 | BASIC: Bipartite Assisted Spectral-Clustering for Identifying Communities in Large-scale Networks | Tianchen Gao | Peking University | | 4 | 14:45-15:10 | Spectral Change Point Estimation for High Dimensional Time Series by Sparse Tensor Decomposition | Xinyu Zhang | East China Normal University |15:30-17:10 · Xijiang Room · High-Dimensional Inference and Variable Selection and FDR Control（6 场）
*主持：Nayang Shan（Capital University of Economics and Business）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | A Cross-Layer Independent Cascade Model for Signaling Pathway Discovery: Uncovering the Dual Role of Ephx2 in Atherosclerosis | Caiyuzhen Zhang | Xiangtan University | | 2 | 15:46-16:02 | High-Dimensional Distributional Change-Point Inference via Sparse Rank-Score Statistics | Xuesong Fu | Guizhou University | | 3 | 16:02-16:18 | 利用汇总统计量进行因果效应异质性估计 | Yadong Yang | East China Normal University | | 4 | 16:18-16:34 | Pathway-Guided Conditional Ultrahigh-Dimensional Feature Screening with Nested Group Structures for Survival Analysis | Leen Huang | Peking University | | 5 | 16:34-16:50 | Population-Unbiased Calibration for High-Dimensional Logistic Regression with Measurement Error | Mingrui Zhong | Zhejiang University of Finance and Economics | | 6 | 16:50-17:06 | Q-DREAM: Double Robust Estimation and Aggregation for High-Dimensional Quantile Mediation Analysis | Nayang Shan | Capital University of Economics and Business |13:30-15:10 · Zhenyuan Room · Analysis of High Dimensional and Correlated Data（4 场）
*组织：Heping Zhang（Yale University） · 主持：Catherine Liu（The Hong Kong Polytechnic University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Semiparametric Mixture Regression for Asynchronous Longitudinal Data Using Multivariate Functional Principal Component Analysis | Yehua Li | University of California, Riverside | | 2 | 13:55-14:20 | Data Assimilation: Toward Flow Matching | Catherine Liu | The Hong Kong Polytechnic University | | 3 | 14:20-14:45 | Addressing Non-Exchangeability in Hybrid Control Studies: A Variable Selection Approach | Zhiwei Zhang | Gilead Sciences | | 4 | 14:45-15:10 | Statistical Tools for Integrative Proteogenomic Analysis | Pei Wang | Icahn School of Medicine at Mount Sinai,New York |15:30-17:10 · Zhenyuan Room · Advancements in Statistical Learning for Precision Medicine（4 场）
*组织：Heping Zhang（Yale University） · 主持：Jiarui Zhang（South China University of Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Stein-Encoder: A White-Box Supervised Encoder via Stein Identities | Xinzhou Guo | The Hong Kong University of Science and Technology | | 2 | 15:55-16:20 | Enhancing Inference for Small Cohorts via Transfer Learning | Yi Li | University of Michigan | | 3 | 16:20-16:45 | Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data | Yang Ning | Cornell University | | 4 | 16:45-17:10 | Automatic Hybrid Neural ODE Reduction | Lu Tian | Stanford University |13:30-15:10 · Libo Room · Statistical Inference on Clinical Trials and Censored Data（4 场）
*主办：Chinese Association for Industrial Statistics Teaching · 组织：Qizhai Li（Chinese Academy of Sciences） · 主持：Junjian Zhang（Guangxi Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Equivalence and Non-Inferiority Assessment in Clinical Trials by Win Probability | Shifang Qiu | Chongqing University of Technology | | 2 | 13:55-14:20 | Testing Patterned Covariance Matrices Under Quadratic Subspace | Yuli Liang | Guangxi Normal University | | 3 | 14:20-14:45 | Quantile Regression for Censored Data with A Cure Fraction | Bo Han | Yunnan University | | 4 | 14:45-15:10 | Semi-Parametric Estimation for Sample Selection Models | Junjian Zhang | Guangxi Normal University |15:30-17:10 · Libo Room · Modern Statistical Inference and Machine Learning for Complex Data（4 场）
*主办：Chinese Association for Applied Statistics · 组织：Changliang Zou（Nankai University） · 主持：Dongxiao Han（Nankai University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Prediction-Powered Linear Regression: A Balance Between Interpretation and Prediction | Xingyu Yan | Jiangsu Normal University | | 2 | 15:55-16:20 | Distributed Privacy-Preserving Group Inference for High-Dimensional GLMs | Dongxiao Han | Nankai University | | 3 | 16:20-16:45 | Orthogonalized Score Tests for Conditional Variable Significance in Deep Partial Linear Cox Models | Meiling Hao | University of International Business and Economics | | 4 | 16:45-17:10 | Maximum Likelihood Estimation in the Sparse Rasch Model | Lianqiang Qu | Central China Normal University |13:30-15:10 · Baihua Meeting Room · From Representation to Inference: Statistical Perspectives on Machine Learning（4 场）
*主办：Chinese Association for Industrial Statistics Teaching · 组织：Huazhen Lin（Southwestern University of Finance and Economics） · 主持：Huazhen Lin（Southwestern University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | 降维与表征——统计学与人工智能融通共进下的若干发展 | Zhou Yu | East China Normal University | | 2 | 13:55-14:20 | Local Theory for the Adaptive Feature Program | Qian Lin | Tsinghua University | | 3 | 14:20-14:45 | Some Recent Advances in AI for Statistics | Fan Zhou | Shanghai University of Finance and Economics | | 4 | 14:45-15:10 | Impact of Membership Models on Subgroup Analysis | Ling Zhou | Southwestern University of Finance and Economics |15:30-17:10 · Baihua Meeting Room · Advances in Economic and Environmental Data Science（6 场）
*主持：Xiaohui Liu（Jiangxi University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | Research and Application of Sales Forecasting Based on Debiased Spatiotemporal Neural Networks | Yumo Zhou | Central University of Finance and Economics | | 2 | 15:46-16:02 | Transformer-Based Structural OHLC Price Forecasting for Chinese Agricultural Futures with Multi-Source Heterogeneous Data | Wenyang Huang | China Agricultural University | | 3 | 16:02-16:18 | 基于CNN-BiLSTM-MSHA模型融合投资者情绪的股价预测 | Yu Han | Inner Mongolia University of Finance and Economics | | 4 | 16:18-16:34 | 低空经济对区域高质量发展的影响 | Yunhuan Qu | Shanxi University of Finance and Economics | | 5 | 16:34-16:50 | Deep Isometric Manifold Embedding for Statistical Analysis of Financial Video Broadcasts | Guoquan Dou | Peking University | | 6 | 16:50-17:06 | 经济系统数字孪生：从宏观经济治理视角 | Xiaohui Liu | Jiangxi University of Finance and Economics |13:30-15:10 · Hongfeng Meeting Room · New Advances in Adaptive Randomization（4 场）
*组织：Feifang Hu（George Washington University） · 主持：Feifang Hu（George Washington University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Dynamic Influencer Identification in CARA Experiments under Bipartite Network Interference | Likun Zhang | Renmin University of China | | 2 | 13:55-14:20 | Assumption-Lean Covariate Adjustment in Covariate Adaptive Randomization | Lin Liu | Shanghai Jiao Tong University | | 3 | 14:20-14:45 | Some Recent Advances in Adaptive Design | Wei Ma | Renmin University of China | | 4 | 14:45-15:10 | Estimating Treatment and Spillover Effects with Ego-Cluster Experimental Design | Xiao Liu | Renmin University of China |15:30-17:10 · Hongfeng Meeting Room · Statistics with Deep Learning（4 场）
*组织：Xinbing Kong（Nanjing Audit University） · 主持：Yixuan Zhang（Southeast University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Enhancing Fairness and Efficiency in Image Classification via Weighted SVD-Based Fine-Tuning of Large Pre-trained Models | Caixing Wang | Southeast University | | 2 | 15:55-16:20 | A Conditional Distribution Equality Testing Framework Using Deep Generative Learning | Siming Zheng | Southeast University | | 3 | 16:20-16:45 | Generating Tensor Factor Structure with Diffusion Model via Tucker U-net | Tian Chen | Southeast University | | 4 | 16:45-17:10 | Extending VAEs to Discrete Latent Spaces | Yixuan Zhang | Southeast University |13:30-15:10 · Doupeng Mountains Meeting Room · Statistical Methods in Generative AI and Network Models（4 场）
*组织：Yang Ning（Cornell University） · 主持：Yang Ning（Cornell University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | SADA: Safe and Adaptive Aggregation of Multiple Black-Box Predictions | Jiwei Zhao | University of Wisconsin-Madison | | 2 | 13:55-14:20 | An Interactive Learning Paradigm in the Age of Generative AI | Yuchen Wu | Cornell University | | 3 | 14:20-14:45 | Timely Decision Making with Balanced Benefit-Risk Tradeoffs | Yingqi Zhao | Fred Hutchinson Cancer Center | | 4 | 14:45-15:10 | Backdoor Reactivation with Clean Data | Yao Li | University of North Carolina at Chapel Hill |15:30-17:10 · Doupeng Mountains Meeting Room · Free Probability and Random Matrix（4 场）
*主办：IMS China · 组织：Lian Wu（Central South University） · 主持：Qiang Zeng（Chinese Academy of Sciences）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Matrix Harmonic Analysis at High Temperature | Jiyuan Zhang | South China University of Technology | | 2 | 15:55-16:20 | 平面正交多项式和二维库伦气体模型 | Men Yang | Central South University | | 3 | 16:20-16:45 | Absolute Continuity of Operator-Valued Random Variables | Sheng Yin | Harbin Institute of Technology | | 4 | 16:45-17:10 | Operator Norm Bounds for Multi-Leg Matrix Tensors and Applications to Random Matrix Theory | Wangjun Yuan | Southern University of Science and Technology |13:30-15:10 · Songbai Mountains Multifunctional Meeting Room · Recent Developments in Statistical Methods and Learning（4 场）
*组织：Jiashun Jin（Southeast University） · 主持：Jiashun Jin（Southeast University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Interpretable Statistical Learning for Spatial Omics and Tissue Architecture Analysis | Yuelei Zhang | Southeast University | | 2 | 13:55-14:20 | Extremal Eigenvectors of Sparse Random Matrices | Chen Wang | City University of Hong Kong | | 3 | 14:20-14:45 | Design and Analysis of Two-Phase Medical Studies Using Model-Assisted Calibration Approaches | Lingxiao Wang | University of Virginia | | 4 | 14:45-15:10 | Non-Splitting Neyman-Pearson Classifiers | Jingming Wang | University of Virginia |15:30-17:10 · Songbai Mountains Multifunctional Meeting Room · Recent Advances in Real-World Data Integration（4 场）
*组织：Yumou Qiu（Peking University） · 主持：Peng Liu（Iowa State University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | MOSAiC: A Unified Framework for Lossless, One-Shot, Federated Learning Algorithms | Yong Chen | University of Pennsylvania | | 2 | 15:55-16:20 | U-aggregation: Unsupervised Aggregation of Multiple Learning Algorithms | Rui Duan | Harvard University | | 3 | 16:20-16:45 | Bregman Information Projection for Calibration Estimation | Yumou Qiu | Peking University | | 4 | 16:45-17:10 | Nonlinear Independent Component Analysis for Time Series via Invertible Neural Networks | Han Yan | London School of Economics and Political Science |13:30-15:10 · Fanjing Mountains Meeting Room · Modern Inference for Complex and Large-Scale Data（4 场）
*组织：Yiyuan She（Westlake University） · 主持：Yiyuan She（Westlake University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | When Does Synthetic Data Help Imbalanced Learning? | Anru Zhang | Duke University | | 2 | 13:55-14:20 | Signal-to-Noise Ratio Aware Minimax Analysis of Sparse Linear Regression | Haolei Weng | Southern University of Science and Technology | | 3 | 14:20-14:45 | Belief in Dependence | Kai Zhang | University of North Carolina at Chapel Hill | | 4 | 14:45-15:10 | Slacked Empirical Likelihoods for Post-Criterion Inference | Yiyuan She | Westlake University |15:30-17:10 · Fanjing Mountains Meeting Room · Institute of Statistics and Big Data（4 场）
*组织：Liping Zhu（Renmin University of China） · 主持：Liping Zhu（Renmin University of China）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Generative Modeling for the Bootstrap | Fang Han | University of Washington, Seattle | | 2 | 15:55-16:20 | Large Precision Matrix Estimation with Unknown Group Structure | Yuan Ke | University of Georgia | | 3 | 16:20-16:45 | Sequential Multiple Testing with Multiple Hypotheses and Prior Information on the Hypothesis Configuration | Yiming Xing | Tongji University | | 4 | 16:45-17:10 | Multivariate Conformal Selection | Yi Yang | McGill University |13:30-15:10 · Qingyan Boardroom · Bayesian and Machine Learning Methods for Multi-Omics and Neuroimaging（6 场）
*主持：Yaqin Zhang（Hunan Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | Accounting for Network Noise in Graph-Guided Bayesian Modeling of High-Dimensional Omics Data | Wenrui Li | University of Connecticut | | 2 | 13:46-14:02 | Forecasting of COVID-19 Incident Cases in Beijing Municipality Based on Hierarchical Forecasting Model | Wanqi Lin | Central University of Finance and Economics | | 3 | 14:02-14:18 | Sparse Multivariate Distribution-to-Distribution Regression via Dependent Mixtures -- A Bayesian Semiparametric Approach | Jintao Wen | Xiamen University | | 4 | 14:18-14:34 | Cross-Modal Brain Network Disruptions in Schizophrenia: Insights From Multiplex Modeling and Transcriptomic Associations | Hanrui Chen | Hunan Normal University | | 5 | 14:34-14:50 | From Multi-Omics to Brain and Behavior: Statistical Integration of Exome Sequencing, Plasma Proteomics, and Neuroimaging in Mental Health Research | Jujiao Kang | Hunan Normal University | | 6 | 14:50-15:06 | 解析心脏结构与多维度大脑表型之间的共享遗传架构 | Yaqin Zhang | Hunan Normal University |15:30-17:10 · Qingyan Boardroom · Advances in Causal Inference and Machine Learning for Complex Data（6 场）
*主持：Yuqian Zhang（Renmin University of China）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | Design and Analysis for Valid Causal Inference with Network-Dependent Data | Zhejia Dong | Brown University | | 2 | 15:46-16:02 | Efficient Inference of Regional Treatment Effects in Multi-Regional Clinical Trials | Kunhai Qing | East China Normal University | | 3 | 16:02-16:18 | Quadruply Robust Methods for Causal Mediation Analysis | Zhen Qi | Renmin University of China | | 4 | 16:18-16:34 | Stabilized Debiased Machine Learning | Ruicong Yao | Ghent University, Belgium | | 5 | 16:34-16:50 | Sparse Deep Integrative Latent Factor Regression for Supervised Multi-Modal Data Analysis | Jing Yu | Shanghai University of Finance and Economics | | 6 | 16:50-17:06 | Balancing Utility and Cost in Dynamic Treatment Regimes | Yuqian Zhang | Renmin University of China |13:30-15:10 · Huangguoshu Theater Meeting Room · Advances in Machine Learning for Large Language Models and Matrix Methods（6 场）
*主持：Jingwen Zhang（EAST China normal university）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | Prompt Perturbation for Reliable LLM Evaluation over Comparison Graphs | Dong Huang | Tsinghua University | | 2 | 13:46-14:02 | 非线性矩阵补全在一般损失与采样分布下的最优性理论 | Yuanhong A | Renmin University of China | | 3 | 14:02-14:18 | PAC-Efficient Reasoning for Large Language Models: Marginal Guarantees, Conditional Extensions, and Anytime Validity | Hao Zeng | Southern University of Science and Technology | | 4 | 14:18-14:34 | Robust Online Recommender System via Matrix Completion | Guanyi Yue | Shanghai Jiao Tong University | | 5 | 14:34-14:50 | 分析师前瞻性对控股股东股权质押的影响——来自大语言模型的证据 | Ke Yao | Zhongnan University of Economics and Law | | 6 | 14:50-15:06 | A Compass for Useful Data: Online Data Selection via Alignment-Gated Fisher Geometry | Jingwen Zhang | EAST China normal university |15:30-17:10 · Huangguoshu Theater Meeting Room · Advances in High-Dimensional Feature Selection and Optimization（6 场）
*主持：Xiaofei Wu（Yunnan University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | High-Dimensional Center-Augmented Regularization for Simultaneous Subgroup Learning and Variable Selection | Hanbo Yang | Columbia University | | 2 | 15:46-16:02 | Feature Selection with Annealing for Shallow Neural Networks Using the Multi-Stage Stochastic Algorithm | Lizhe Sun | Shanxi University of Finance and Economics | | 3 | 16:02-16:18 | REVS: A Reinforced Exploration Algorithm for Variable Selection via Thompson Sampling with UCB-Augmented Variance | Xi Lin | Fuzhou University | | 4 | 16:18-16:34 | An Improved Sufficient Condition for Weighted LR-L1 Minimization | Jianwen Huang | Chongqing Normal University | | 5 | 16:34-16:50 | Byzantine-Resilient Decentralized Optimization for Joint Feature Selection in Multi-Task Networks | Dazhong Wang | Shanghai Jiao Tong University | | 6 | 16:50-17:06 | Feature Splitting Parallel Algorithm for Dantzig Selectors | Xiaofei Wu | Yunnan University |13:30-15:10 · ASEAN Roundtable Forum Meeting Room · Advances in Network and Privacy-Preserving Data Science（6 场）
*主持：Na Kang（Zhejiang Gongshang University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | Joint Estimation of Edge Probabilities for Multi-Layer Networks via Neighborhood Smoothing | Diqing Li | Zhejiang Gongshang University | | 2 | 13:46-14:02 | 基于网络信息的近似因子模型估计 | Yuzhou Zhao | Renmin University of China | | 3 | 14:02-14:18 | 数据要素促进居民家庭服务消费的理论机制研究—基于CHFS的经验证据 | Tianle Li | Henan University of Economics and Law | | 4 | 14:18-14:34 | Differentially Private Adaptive Neyman Allocation for Sequential Experiments | Yaqi Zhou | Tsinghua University | | 5 | 14:34-14:50 | Addressing Complex Missingness: A Bayesian Joint Analysis of Missing Item Response and Covariate Data under a Missing Not at Random Mechanism | Jialing Tan | Northeast Normal University | | 6 | 14:50-15:06 | 基本公共服务均衡布局能否增强城市创新网络韧性 | Na Kang | Zhejiang Gongshang University |15:30-17:10 · ASEAN Roundtable Forum Meeting Room · Advances in Time Series and Causal Machine Learning（6 场）
*主持：Junni Zhang（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | Z-Valued Smooth Transition GARCH Models: Specification and Testing | Fukang Zhu | Jilin University | | 2 | 15:46-16:02 | A Unified Statistical Framework for Testing Stochastic Dominance | Weiqi Yang | University of Science and Technology of China | | 3 | 16:02-16:18 | Testing and Estimation of Change Point in ARMA Model with Heavy-Tailed G-GARCH Noises | Qiang Bai | Shanxi University of Finance and Economics | | 4 | 16:18-16:34 | Impact Mechanism of Digital Economy Policies on the Synergistic Effects of Pollution-Carbon Reduction in Cities: A Causal Inference Approach Based on Double Machine Learning | Yuhuan Sun | Dongbei University of Finance and Economics | | 5 | 16:34-16:50 | Generalized Spectral Testing with Sample Splitting | Yuxin Tao | Southern University of Science and Technology | | 6 | 16:50-17:06 | Stable Causal Targeting with Machine Learning: Application to a Consumer Finance Field Experiment | Junni Zhang | Peking University |13:30-15:10 · Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson · Variable Selection and FDR Control and Clinical Trials and Drug Development（6 场）
*主持：Wentao Yang（Shanghai Jiao Tong University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | 伴有复发事件响应及不等随访时间的响应适应性随机化试验的样本量确定 | Junjiang Zhong | Xiamen University of Technology | | 2 | 13:46-14:02 | 基于高斯图模型的自适应多源先验融合正则化方法 | Weijuan Liang | Xiamen University | | 3 | 14:02-14:18 | The Randomized BH Procedure: A Framework Unifying Conformal and Competition Tests | Mingzhou Deng | Chinese Academy of Sciences | | 4 | 14:18-14:34 | A Greedy-Enhanced ABC-NS Framework for Epidemic Model Selection | Jinlian Huang | Zhongnan University of Economics and Law | | 5 | 14:34-14:50 | Learning Overlapping Group Structures via Community Detection for High-Dimensional Variable Selection | Qianhui Shen | Central University of Finance and Economics | | 6 | 14:50-15:06 | A Bayesian Phase I/II Platform Design with Data Augmentation Accounting for Delayed Outcomes | Wentao Yang | Shanghai Jiao Tong University |15:30-17:10 · Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson · Time Series and Longitudinal Data and Bayesian Methods（6 场）
*主持：Yiping Hong（Beijing Institute of Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | On Ignorability of Preferential Sampling in Geostatistics | Ganggang Xu | University of Miami | | 2 | 15:46-16:02 | Spherically Embedded Time Series with Unknown Trend and Periodic Components | Jiazhen Xu | Macquarie University | | 3 | 16:02-16:18 | The Empirical Bayes Estimators of the Variance Parameter of the Normal Distribution with a Normal-Inverse-Gamma Prior Under Stein's Loss Function | Yingying Zhang | Yunnan University | | 4 | 16:18-16:34 | 二元Marshall-Olkin瑞利分布的参数估计 | Xiang Xiao | Shanghai University of Engineering Science | | 5 | 16:34-16:50 | Statistical Inference for Coefficients and Trend Function in Time-Varying GARCH Model | Ziyi Zou | Fuzhou University | | 6 | 16:50-17:06 | Fisher Scoring for Exact Matérn Covariance Estimation through Stable Smoothness Optimization | Yiping Hong | Beijing Institute of Technology |13:30-15:10 · Meeting Room, 1st Floor, Qunsheng Garden Hotel · Advances in Bayesian Methods and State-Space Models（6 场）
*主持：Changqing Lu（Central South University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | A General Weighted Block Ensemble Kalman Filter with Data-Driven Optimal Block-Width Selection | Lei Qian | Peking University | | 2 | 13:46-14:02 | Data Integration of Non-Probability and Probability Samples Using Deep Generative Model | Tongxin Wang | Shanxi University of Finance and Economics | | 3 | 14:02-14:18 | Predicting Average Daily Liveweight Gain in Grazing Cattle from Accelerometer-Derived Behaviour and Activity | Shuwen Hu | Royal Melbourne Institute of Technology,RMIT | | 4 | 14:18-14:34 | Equilibrium Joining Strategies in a Two-Stage Service System with Priority Customers and Feedback | Jia Xu | Chaohu University | | 5 | 14:34-14:50 | Modified Cholesky Decomposition-Based Localization in Ensemble Kalman Filter | HaoXuan Sun | Harbin Institute of Technology | | 6 | 14:50-15:06 | Bayesian Inference for Independent Cluster Point Processes | Changqing Lu | Central South University |15:30-17:10 · Meeting Room, 1st Floor, Qunsheng Garden Hotel · Advances in Statistical Inference and Machine Learning（6 场）
*主持：Yuanhong Chen（Qingdao University of Science and Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | Aggregating Conformal Prediction Sets via α-Allocation | Yue Yu | Nankai University | | 2 | 15:46-16:02 | Beyond Two Arms: Power-Optimized Adaptive Experiments | Cheng Yu | University of Chicago | | 3 | 16:02-16:18 | Online Generalized Boundary False Discovery Rate Control under Arbitrary Dependence via Closure Principle | Yifan Zhang | Shanghai Jiao Tong University | | 4 | 16:18-16:34 | Graphical Regression with Shrinkage and Covariance Kernel | Xueqian Kang | Xiamen University | | 5 | 16:34-16:50 | A Time-Dependent Transformer Framework for Survival Prediction with Longitudinal Data | Yaoling Xie | Guizhou University | | 6 | 16:50-17:06 | Tensor Decomposition-Based Neural Operator with Dynamic Mode Decomposition for Parameterized Time-Dependent Problems | Yuanhong Chen | Qingdao University of Science and Technology |7 月 13 日（周一）¶
08:30-10:10 · Colourful Guizhou Ballroom 2 · Recent Developments in High-Dimensional Learning（4 场）
*组织：Hui Zou（University of Minnesota） · 主持：Yumou Qiu（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Fast Fitting of Gaussian Mixture Model via Dimension Reduction | Wei Luo | Zhejiang University | | 2 | 08:55-09:20 | Inference in Dense High-Dimensional Heteroscedastic Regression | Jing Zhou | University of Manchester | | 3 | 09:20-09:45 | A New Approach to L0-Compressed Sensing with Finite-Step Oracle Convergence under the Sharp RIP Condition | Jun Fan | Hebei University of Technology | | 4 | 09:45-10:10 | Sparse Gaussianized Canonical Correlation Analysis with Applications to Portfolio Analysis | Di He | Nanjing University |10:30-12:10 · Colourful Guizhou Ballroom 2 · Modern Machine Learning Theory（4 场）
*组织：Tracy Ke（Harvard University） · 主持：Jingming Wang（University of Virginia）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Semi‑Supervised Learning on Graphs with GNNs | Olga Klopp | ESSEC Business School | | 2 | 10:55-11:20 | Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model | Huimin Cheng | Boston University | | 3 | 11:20-11:45 | Fiedler Sign Consistency for Hierarchical Stochastic Block Models | Xiaodong Li | University of California, Davis | | 4 | 11:45-12:10 | Nuisance Parameter Tuning for Inference in Observational Studies | Rajarshi Mukherjee | Harvard University |13:30-15:10 · Colourful Guizhou Ballroom 2 · Recent Advances in Model Free Inference（4 场）
*组织：Yin Xia（Fudan University） · 主持：Yin Xia（Fudan University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Evaluating Black-Box Classifiers via Stable Adaptive Two-Sample Inference | Jing Lei | Carnegie Mellon University | | 2 | 13:55-14:20 | Conformalized Large-Scale Selective Inference with Informative and Trustworthy Prediction Sets | Wenguang Sun | Zhejiang University | | 3 | 14:20-14:45 | Conformal Selective Prediction with General Risk Control | Ying Jin | University of Pennsylvania | | 4 | 14:45-15:10 | Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle | Haojie Ren | Shanghai Jiao Tong University |15:30-17:10 · Colourful Guizhou Ballroom 2 · Robust and Distributed Statistical Learning with Subsampling and Transfer Learning（6 场）
*主持：Huali Zhao（Tsinghua University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | 基于混合数据学习半参数树模型 | Can Zhou | Nanjing Audit University | | 2 | 15:46-16:02 | Minimax Optimal Robust Sparse Regression with Heavy-Tailed Designs: A Gradient-Based Approach | Kaiyuan Zhou | Shanghai Jiao Tong University | | 3 | 16:02-16:18 | Poisson Subsampling-Based Estimation for Growing-Dimensional Expectile Regression Inmassive Data | Xiaoyan Li | Chongqing Technology and Business University | | 4 | 16:18-16:34 | 网络下的高效实验设计与主动学习 | Zhiheng Zhang | Shanghai University of Finance and Economics | | 5 | 16:34-16:50 | Decentralized Robust Online Policy Evaluation | Jiayan Chen | Shanghai Jiao Tong University | | 6 | 16:50-17:06 | Doubly Robust Transfer Learning Under Sub-Group Shift for Cohort-Level Missing Indicator Covariates | Huali Zhao | Tsinghua University |08:30-10:10 · Colourful Guizhou Ballroom 1 · 统计学历史与文化（4 场）
*组织：Wei Yuan（Renmin University of China） · 主持：Leping Liu（Tianjin University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | 洞见数据文明——中国统计学数字博物馆构想 | Yingchun Zhou | East China Normal University | | 2 | 08:55-09:20 | 薪火相传 笃行致远——上海财经大学统计学科史编撰成果 | Xingdong Feng | Shanghai University of Finance and Economics | | 3 | 09:20-09:45 | 数据生产要素价值测度：数据科学的时代命题与统计学历史回响 | Mengxin Wang | Guangzhou University | | 4 | 09:45-10:10 | 多模态数据分析的统计学之道：从方法拓荒到范式革新 | Yaohua Rong | Beijing University of Technology |10:30-12:10 · Colourful Guizhou Ballroom 1 · Complex Data Analysis（4 场）
*组织：Long Feng（Nankai University） · 主持：Long Feng（Nankai University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | A Computationally Efficient Double-Group Binary Segmentation Method for Multiple Change-Point Detection | Dan Zhuang | Fujian Normal University | | 2 | 10:55-11:20 | Complex Football Data Analysis: From Odds-Informed Quantitative Strategies to Advanced Event Valuation | Decai Liang | Nankai University | | 3 | 11:20-11:45 | Double Robust High Dimensional Alpha Test for Linear Factor Pricing Model | Hongfei Wang | Nanjing Audit University | | 4 | 11:45-12:10 | Changepoint Detection in Complex Models: Cross-Fitting Is Needed | Chengde Qian | Shanghai Jiao Tong University |13:30-15:10 · Colourful Guizhou Ballroom 1 · Recent Advances in Statistical Modeling for Complex Data（4 场）
*组织：Xiang Zhan（Southeast University） · 主持：Xiang Zhan（Southeast University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Addressing Heterogeneity in High-Dimensional Regression through Bayesian Structured Sparse Clustering | Guanyu Hu | Michigan State University | | 2 | 13:55-14:20 | Cox-MK: A Model-X Knockoff Method for Genome-Wide Survival Association Analysis | Shiyang Ma | Shanghai Jiao Tong University | | 3 | 14:20-14:45 | Prioritizing Druggable Targets by Mapping Human Disease-Associated Coding Variants onto Protein Structures | Zilin Li | Northeast Normal University | | 4 | 14:45-15:10 | Joint High-Dimensional Inference for Mixed-Type Multi-Response Regression | Chong You | Fudan University |15:30-17:10 · Colourful Guizhou Ballroom 1 · Statistical Methods for Biomedical and Genomic Studies（6 场）
*主持：Yinan Lin（National Center for Applied Mathematics in Chongqing）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | A Novel Exact Confidence Interval for the Difference of Proportions in Paired Data Using a Restricted Most Probable Statistic | Xingyun Cao | Chongqing Technology and Business University | | 2 | 15:46-16:02 | Efficient Genome-Wide Association Studies via Low-Rank Approximations | Zhongyuan Chen | Nanjing University | | 3 | 16:02-16:18 | Variational Bayesian Estimation for Joint Models of Longitudinal and Interval-Censored Failure Time Data with Random Change-Points | Fengting Yi | Yunnan University | | 4 | 16:18-16:34 | Tensor-on-Vector Regression with Interactions with Application to FMRI Data | Jinwen Liang | Beijing University of Technology | | 5 | 16:34-16:50 | Statistical and Machine Learning Modelling of HLA-I Peptide Presentation Landscapes | Yinfei Yang | Imperial College London | | 6 | 16:50-17:06 | Testing High-Dimensional Mediation Effect with Arbitrary Exposure–Mediator Coefficients | Yinan Lin | National Center for Applied Mathematics in Chongqing |08:30-10:10 · Colourful Guizhou Ballroom 3 · Advances in Functional, Distributional, and Structured Statistical Learning（4 场）
*主办：Korean Statistical Society · 组织：Cheolwoo Park（KAIST）、Sungkyu Jung（Seoul National University） · 主持：Jeong Min Jeon（Seoul National University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Hilbert Diffusion Models for Generating Functional Data with Galerkin-Type Kernel Neural Operators | Hyonho Chun | KAIST | | 2 | 08:55-09:20 | Deep Symbolic Learning for Histogram-Valued Regression Data | Ilsuk Kang | Chungbuk National University | | 3 | 09:20-09:45 | From Binary Pairs to Soft Correspondences in Audio Text Retrieval | Changwon Lim | Chung-Ang University | | 4 | 09:45-10:10 | Information Matrix Test for Normality of Innovations in Stationary Time Series Models | Zixuan Liu | Henan University of Economics and Law |10:30-12:10 · Colourful Guizhou Ballroom 3 · Decoding Complex Structures: From Dimension Reduction to Deep Generative Models（4 场）
*主办：Korean Statistical Society · 组织：Cheolwoo Park（KAIST）、Sungkyu Jung（Seoul National University） · 主持：Ilsuk Kang（Chungbuk National University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Exploiting Training Dynamics for Anomaly Detection in Deep Generative Models | Dongha Kim | Sungshin Women's University | | 2 | 10:55-11:20 | An Association Measure for Mixed-Types Variables | Yongjae Kim | Institute for Data Innovation in Science,Seoul National University | | 3 | 11:20-11:45 | Bayesian Sufficient Dimension Reduction via Envelope Models | Kwangmin Lee | Chonnam National University | | 4 | 11:45-12:10 | Hilbertian Additive Regression with General Estimated Variables | Jeong Min Jeon | Seoul National University |13:30-15:10 · Colourful Guizhou Ballroom 3 · Frontiers in Pharmaceutical Statistics（4 场）
*组织：Yingchun Zhou（East China Normal University） · 主持：Yingchun Zhou（East China Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Synergy Evaluation for Drug Combinations: From Classical Concepts to Model-Based Approaches | Xiaolei Xun | BeOne Medicines Ltd. | | 2 | 13:55-14:20 | Bayesian Borrowing in Confirmatory Trials: Priors, Performance, and Implementation in Practice | Wentian Guo | AstraZeneca | | 3 | 14:20-14:45 | AI-Powered Digital & Intelligent Platforms in Pharmaceuticals with Key Considerations | Jingjun Qiu | Shanghai Fosun Pharmaceutical (Group) Co., Ltd. | | 4 | 14:45-15:10 | Adaptive Dose Selection in Phase II/III Inferentially Seamless Design | Hongyu Tang | Caidya |15:30-17:10 · Colourful Guizhou Ballroom 3 · Advances in Economic and Social Data Science（6 场）
*主持：Lingling Tian（Beijing University of Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | 宏观审慎管理、房地产市场发展与系统性金融风险 | Hui Wei | Xinjiang University of Finance and Economics | | 2 | 15:46-16:02 | 社会核算矩阵稳态均衡模型研究 | Ke Liang | Shanxi University of Finance and Economics | | 3 | 16:02-16:18 | 基于SEEA-EA海洋生态系统核算的国际标准、国外实践及启示 | Yue Gu | Shanxi University of Finance and Economics | | 4 | 16:18-16:34 | Precision Matrix Estimation for Multiple Compositional Vectors | Shen Zhang | Qufu Normal University | | 5 | 16:34-16:50 | 退市制度改革能够提高企业投资效率吗？ ——来自壳资源企业的证据 | Dejin Tao | Xinjiang University of Finance and Economics | | 6 | 16:50-17:06 | Estimation for Partially Time-Varying Spatial Autoregressive Panel Data Model under Linear Constraints | Lingling Tian | Beijing University of Technology |08:30-10:10 · Yongkang Room · Learning-Based Reliability and Cyber Risk Assessment（4 场）
*组织：Peng Zhao（Jiangsu Normal University） · 主持：Maochao Xu（Illinois State University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Estimating All-Terminal Signature for Networks by Using Deep Neural Learning | Gaofeng Da | Nanjing University of Aeronautics and Astronautics | | 2 | 08:55-09:20 | Modeling Multivariate Degradation with Time-Varying Mean–Variance Dynamics for Reliability Assessment | Ancha Xu | Zhejiang Gongshang University | | 3 | 09:20-09:45 | RUL Prediction for Aircraft Engines by Integrating Nonlinear Functional Data Analysis and Graph Attention Network | Weiyong Ding | Jiangsu Normal University | | 4 | 09:45-10:10 | CADA-Flow: Capturing Complex Dependence in Cyber Breach Risk via Deep Learning | Yijia Li | University of Science and Technology of China |10:30-12:10 · Yongkang Room · Privacy and Differential Privacy and Quantile and Robust Methods（6 场）
*主持：Zelin Xiao（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:46 | Interpretable Causal Mediation Analysis with Graph Autoencoders | Zhe Fei | UC Riverside | | 2 | 10:46-11:02 | Power Enhancing Probability Subsampling Using Side Information | Junzhuo Gao | City University of Hong Kong | | 3 | 11:02-11:18 | Type-Preserving Differentially Private Data Release for Versatile Analysis of Mixed-Type Data | Qilong Lu | Peking University | | 4 | 11:18-11:34 | Online Robust Locally Differentially Private Learning for Nonparametric Regression | Chenfei Gu | Shanghai University of Finance and Economics | | 5 | 11:34-11:50 | 从聚合型多样性到结构权变贡献：基于图学习解析团队异质知识的整合机制 | Yihao Huang | Central University of Finance and Economics | | 6 | 11:50-12:06 | 极小极大最优的在线非平稳强化学习 | Zelin Xiao | Peking University |13:30-15:10 · Yongkang Room · Statistical Innovations for Environmental, Climate, and Urban Systems（6 场）
*主持：Yongkang Li（Sichuan University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | 基于船测丰度约束的海底地形深度构建方法 | Chao Wang | Jiangxi University of Finance and Economics | | 2 | 13:46-14:02 | A Nudging-Based Multigrid Ocean Data Assimilation System in North Pacific | Binghao Wang | Peking University | | 3 | 14:02-14:18 | Asymptotic Theory for Generalized Total Least Square for Optimal Fingerprint Estimation in Climate Change Studies with Non-Gaussian Errors | Haocheng Li | Tsinghua University | | 4 | 14:18-14:34 | A Real-Time Protection Procedure for Computerized Adaptive Testing Under Item Preknowledge via Online Bayesian Changepoint Detection | Chunyu Pu | Northeast Normal University | | 5 | 14:34-14:50 | 局部散度惩罚与多专家混合 e-过程：分布自由序贯变点检验的鲁棒方法 | Yongkang Li | Sichuan University | | 6 | 14:50-15:06 | 探究城市活力与建成环境的关联机制：多源数据驱动的非线性特征与阈值效应研究 | Ruilin Wang | Chengdu University of Technology |15:30-17:10 · Yongkang Room · Statistical Learning for Spatio-Temporal and Network Data（6 场）
*主持：Wenhao Chen（The Chinese University of Hong Kong, Shenzhen）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | Detecting Multiple Changepoints in the Annual Number of Snowy Weeks via Latent Gaussian Beta-Binomial Modeling and Pairwise Likelihood | Qiqi Lu | Virginia Commonwealth University | | 2 | 15:46-16:02 | Identifying the Dynamic Spreading Mechanism of Livestock Infectious Diseases Using Multivariate Hawkes Processes | Wenhao Chen | The Chinese University of Hong Kong, Shenzhen | | 3 | 16:02-16:18 | 融合双域变换的地震数据低秩恢复方法 | Zeyu Zeng | Chengdu University of Technology/Chengdu Bureau of Statistics | | 4 | 16:18-16:34 | Identifying Chinese Leading Venture Capital Firms Using Investing Preference-Enhanced Graph Neural Networks | Mingyu Han | Central University of Finance and Economics | | 5 | 16:34-16:50 | A Multiple Changepoint Detection Method for Examinee Aberrant Behaviors Based on Bootstrap Intensity Scores and Weighted Binary Segmentation | Baoqun Chang | Northeast Normal University | | 6 | 16:50-17:06 | Fit First and Detect Later: A Unified Decoupled Framework for Change Detection in High Dimensions | Bin Liu | Fudan University |08:30-10:10 · Xiangyuan Room · Recent Advance of Statistical Theories in Management and Economics（4 场）
*主办：IMS China · 组织：Jinyuan Chang（Southwestern University of Finance and Economics） · 主持：Jinyuan Chang（Southwestern University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Fair Regression in Reproducing Kernel Hilbert Spaces: Single-Machine and Decentralized Implementations under Conditional Mean Parity | Xiaojun Mao | Shanghai Jiao Tong University | | 2 | 08:55-09:20 | Data-Driven Policy Learning for Continuous Treatments | Haitian Xie | Peking University | | 3 | 09:20-09:45 | Statistical Inference for Mediation Models with High Dimensional Exposures | Wei Zhou | Southwestern University of Finance and Economics | | 4 | 09:45-10:10 | Multi-Source Prediction Powered Inference | Wenhui Li | Chinese Academy of Sciences |10:30-12:10 · Xiangyuan Room · Stochastic Partial Differential Equations（4 场）
*主办：IMS China · 组织：Tusheng Zhang（University of Science and Technology of China） · 主持：Tusheng Zhang（University of Science and Technology of China）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Dynamic Mean-Variance Problem with Frictions | Guiyuan Ma | Xi'an Jiaotong University | | 2 | 10:55-11:20 | Stochastic Reaction-Diffusion Equations with Super-Linear Drift | Shijie Shang | University of Science and Technology of China | | 3 | 11:20-11:45 | Joint Law Limits for Non-Autonomous Multi-Scale Diffusions with Irregular Coefficients | Longjie Xie | Jiangsu Normal University | | 4 | 11:45-12:10 | Stochastic Wave Equation with Additive Fractional Noise: Solvability and Global Hölder Continuity | Xiong Wang | Sun Yat-sen University |13:30-15:10 · Xiangyuan Room · Branching Processes and Related Models（4 场）
*主办：IMS China · 组织：Xinxin Chen（Beijing Normal University） · 主持：Quan Shi（Chinese Academy of Sciences）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Towards Central Limit Theorem of Critical Branching Random Walks | Tianyi Bai | Chinese Academy of Sciences | | 2 | 13:55-14:20 | 二维高斯自由场的臂概率 | Yifan Gao | Westlake University | | 3 | 14:20-14:45 | Branching Random Walks and Percolation on Hyperbolic Groups | Longmin Wang | Nankai University | | 4 | 14:45-15:10 | Cover Times for Random Walk on Subcritical Dynamical Percolation | Yushu Zheng | Chinese Academy of Sciences |15:30-17:10 · Xiangyuan Room · Robustness and Reliability of Statistical Inference in the AI Age（3 场）
*主办：IMS China · 组织：Linjun Zhang（Rutgers University） · 主持：Linjun Zhang（Rutgers University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Invariance Learning from Heterogeneous Environments via Neural Networks | Cong Fang | Peking University | | 2 | 15:55-16:20 | Making Algorithms Robust to Structured Noise and Beyond | Qiang Sun | Mohamed bin Zayed University of Artificial Intelligence | | 3 | 16:20-16:45 | Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions | Tianwei Gao | University of North Carolina at Chapel Hill |08:30-10:10 · Qunsheng Room · Theoretical Econometrics（3 场）
*主办：IMS China · 组织：Fang Han（University of Washington, Seattle） · 主持：Fang Han（University of Washington, Seattle）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | The Optimal Selection of a Subset and the Roles of Testing | Lilun Du | City University of Hong Kong | | 2 | 08:55-09:20 | Second-Order Sparse Sufficient Dimension Reduction with Applications to Quadratic Discriminant Analysis | Jing Zeng | University of Science and Technology of China | | 3 | 09:20-09:45 | Score Test for Order of Finite Normal Mixtures | Junfan Tao | Kyoto University |10:30-12:10 · Qunsheng Room · Rank and Graph-Based Methods（4 场）
*主办：IMS China · 组织：Fang Han（University of Washington, Seattle） · 主持：Fang Han（University of Washington, Seattle）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | From Graph-Based Tests to Graph-Induced Ranks: Two-Sample Inference for Complex Data | Hao Chen | University of California, Davis | | 2 | 10:55-11:20 | Limit Theorems of Azadkia-Chatterjee’s Conditional Graph Correlation | Muhong Gao | University of International Business and Economics | | 3 | 11:20-11:45 | Statistical Limits and Power Boosting for High Dimensional Two Sample Test | Yaowu Zhang | Shanghai University of Finance and Economics | | 4 | 11:45-12:10 | Randomized Optimal Switching Problem and Related Mirror Descent Flow | Yuchao Dong | Tongji University |13:30-15:10 · Qunsheng Room · Mean Field Stochastic Control Problems and Related Topics（4 场）
*主办：IMS China · 组织：Juan Li（Shandong University） · 主持：Juan Li（Shandong University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Sequential Propagation of Chaos for Mean-Field BSDE Systems | Kai Du | Fudan University | | 2 | 13:55-14:20 | The Deep Truncated FBSDE Method: A Robust Solver for High-Dimensional PDEs | Yunzhang Li | Fudan University | | 3 | 14:20-14:45 | Comparison Theorems for Mean-Field BSDEs Whose Generators Depend on The Law of The Solution (Y,Z) | Chuanzhi Xing | Shandong University | | 4 | 14:45-15:10 | Doubly BSDE and SPDE with Quadratic Growth | Jiaqiang Wen | Southern University of Science and Technology |15:30-17:10 · Qunsheng Room · Nonlinear Expectations and Related Topics（3 场）
*主办：IMS China · 组织：Juan Li（Shandong University） · 主持：Juan Li（Shandong University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Mean Reflected Backward Stochastic Differential Equations | Falei Wang | Shandong University | | 2 | 15:55-16:20 | 超前信息的随机控制 | Huilin Zhang | Shandong University | | 3 | 16:20-16:45 | Quadratic Forward Backward Stochastic Differential Equations Driven by G-Brownian Motion | Peng Luo | Shanghai Jiao Tong University |08:30-10:10 · Xijiang Room · Dynamic Game and Particle Approximation（4 场）
*主办：IMS China · 组织：Lijun Bo（Xidian University） · 主持：Panpan Ren（City University of Hong Kong）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Two-Time-Scale McKean-Vlasov Systems | Fuke Wu | Huazhong University of Science and Technology | | 2 | 08:55-09:20 | Mean Field Control with Poissonian Common Noise: A Pathwise Compactification Approach | Xiaoli Wei | Harbin Institute of Technology | | 3 | 09:20-09:45 | Controlled Particle Systems and Their Applications in Deep Learning | Huafu Liao | Dalian University of Technology | | 4 | 09:45-10:10 | Bi-Coupling Approach and its Applications | Panpan Ren | City University of Hong Kong |10:30-12:10 · Xijiang Room · Statistical Methods in Earth Sciences（4 场）
*组织：Songxi Chen（Tsinghua University） · 主持：Yumou Qiu（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | 数据驱动方法在三维海洋信息重构中的应用 | Zhen Gao | Ocean University of China | | 2 | 10:55-11:20 | Statistics-Assisted Ocean Observing: Designing, Guiding, and Reconstructing Mesoscale Eddy | Wu Su | Peking University | | 3 | 11:20-11:45 | On the Eigenvalues of the Kernel Matrices and Their Applications to Spatial Statistics | Hao Zhang | Michigan State University | | 4 | 11:45-12:10 | Non-Identifiability of Proxy-Based AMOC Early-Warning Signals under Red Noise | Ziyun Zhu | Tsinghua University |13:30-15:10 · Xijiang Room · Stein Method with Recent Advances（4 场）
*主办：IMS China · 组织：Zhonggen Su（Zhejiang University） · 主持：Zhonggen Su（Zhejiang University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Rank Deficiency of Bernoulli Random Matrices for Large k | Hanchao Wang | Shandong University | | 2 | 13:55-14:20 | Rates of Convergence in the Distances of Kolmogorov and Wasserstein for Standardized Martingales | Xiequan Fan | Northeastern University at Qinhuangdao | | 3 | 14:20-14:45 | Refined Berry-Esseen Bounds under Local Dependence | Zhuosong Zhang | Southern University of Science and Technology | | 4 | 14:45-15:10 | High-Dimensional Normal Approximations for Sums of Langevin Markov Chains | Xiaolin Wang | The Chinese University of Hong Kong |15:30-17:10 · Xijiang Room · Random Matrix Theory with Recent Advances（3 场）
*主办：IMS China · 组织：Zhonggen Su（Zhejiang University） · 主持：Zhonggen Su（Zhejiang University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Markov Chain Comparisons and Edge Statistics for Inhomogeneous Random Matrices | Dangzheng Liu | University of Science and Technology of China | | 2 | 15:55-16:20 | TBD | Yukun He | Fudan University | | 3 | 16:45-17:10 | Sparsity-Adaptive Concentration Inequalities for Random Polynomials with Applications to Sparse Random Tensor Matrices | Guozheng Dai | Hong Kong University of Science and Technology |08:30-10:10 · Zhenyuan Room · Novel Data Analytics in Business and Economics（4 场）
*主办：Commerce Statistics Society of China · 组织：Yang Li（Renmin University of China） · 主持：Rong Li（Renmin University of China）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Beyond Average Accuracy: Region-Adaptive Forecast Combination for Risk-Sensitive Operational Decisions | Yanfei Kang | Beihang University | | 2 | 08:55-09:20 | Bootstrap-Based Testing for Mode Models in Feature Selection | Rong Li | Renmin University of China | | 3 | 09:20-09:45 | A Heterogeneous Multiple-Inflated Model with Automated Selection for Count Data | Mengyun Wu | Shanghai University of Finance and Economics | | 4 | 09:45-10:10 | Generative Doubly Robust Estimation for General Treatment Effects | Qixian Zhong | Xiamen University |10:30-12:10 · Zhenyuan Room · Advances in Statistical Methods for Complex Health and Genomics Data: Diagnostics, Modeling, Annotation, and Application（4 场）
*组织：Depeng Jiang（University of Manitoba） · 主持：Depeng Jiang（University of Manitoba）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Subspace Change Point Detection and Clustering | Xuehu Zhu | Xi’an Jiaotong University | | 2 | 10:55-11:20 | Tweedie Compound Poisson Mixed Models for Semicontinuous Data | Guohua Yan | University of New Brunswick | | 3 | 11:20-11:45 | Cell Type Annotation Using Single-Cell Sequencing Data | Xuekui Zhang | Zhejiang University of Technology | | 4 | 11:45-12:10 | Advancing Cluster-Based Prevention Programs Using Mixed Effects Location-Scale Models | Depeng Jiang | University of Manitoba |13:30-15:10 · Zhenyuan Room · Advanced Methods for Inference with Data from Multiple Sources（4 场）
*组织：Puying Zhao（Yunnan University） · 主持：Puying Zhao（Yunnan University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Calibration-Based Estimation Method for Nonignorable Non-Probability Survey Samples | Changbao Wu | University of Waterloo | | 2 | 13:55-14:20 | Bias-Corrected Byzantine-Robust Estimator via Cornish-Fisher Expansion for Distributed Learning | Zhonglei Wang | Xiamen University | | 3 | 14:20-14:45 | Downscaling Public-Use Microdata for Small Area Estimation via Calibration and Population Synthesis | Zhengyuan Zhu | Iowa State University | | 4 | 14:45-15:10 | Agnostic Model-Assisted Estimation with Machine Learning for Survey Data | David Haziza | University of Ottawa |15:30-17:10 · Zhenyuan Room · Scalable and Privacy-Preserving Statistical Inference for Dynamic Data（4 场）
*组织：Linglong Kong（University of Alberta） · 主持：Peijun Sang（University of Waterloo）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Scalable Inference in Functional Linear Regression with Streaming Data | Peijun Sang | University of Waterloo | | 2 | 15:55-16:20 | Online Locally Differentially Private Inference with Streaming Data | Jinhan Xie | Yunnan University | | 3 | 16:20-16:45 | Factor-Augmented Clustering Tree for Time Series | Ting Li | Southern University of Science and Technology | | 4 | 16:45-17:10 | E-BH Based Interaction Identification for Classification with Ultra-High Dimensional Binary Features | Baiguo An | Capital University of Economics and Business |08:30-10:10 · Libo Room · Statistical Methods in Causal Inference and Policy Optimization（4 场）
*主办：Chinese Association for Applied Statistics · 组织：Liuquan Sun（Chinese Academy of Sciences） · 主持：Liuquan Sun（Chinese Academy of Sciences）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Deconfounding Sequential Treatment Effects through Overlapping Treatment Histories | Hui Huang | Renmin University of China | | 2 | 08:55-09:20 | Optimal Treatment Allocations Accounting for Population Differences | Wei Zhang | Chinese Academy of Sciences | | 3 | 09:20-09:45 | A Nonparametric Potential Outcomes Framework for Bidirectional Causal Inference | Guoyu Zhang | Peking University | | 4 | 09:45-10:10 | General Sieve Learning-Based Specification Analysis with Missing Survey Data | Puying Zhao | Yunnan University |10:30-12:10 · Libo Room · Advanced Statistical Learning: Distribution-Free, Scalable and Cost-Efficient Inference（4 场）
*组织：Wei Zhong（Xiamen University） · 主持：Wei Zhong（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Distribution-Free Prediction Sets for Regression under Target Shift | Yanlin Tang | East China Normal University | | 2 | 10:55-11:20 | Subsampling-Based Convoluted Rank Regression for Massive Data | Xiaochao Xia | Chongqing University | | 3 | 11:20-11:45 | Cost-Aware Portfolios in a Large Universe of Assets | Songshan Yang | Renmin University of China | | 4 | 11:45-12:10 | Online Kernel-Based Mode Learning | Weixin Yao | University of California, Riverside |13:30-15:10 · Libo Room · Robust Theory and Frontier Applications of Large Models and Embodied Intelligence（4 场）
*组织：Bingyi Jing（The Chinese University of Hong Kong, Shenzhen） · 主持：Fan Zhou（Shanghai University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Structure-Aware Variation Regularization for Robust Deep Learning | Guohao Shen | The Hong Kong Polytechnic University | | 2 | 13:55-14:20 | Controlling OOD Error in Offline Model-Based Optimization via Wasserstein Distributionally Robust Optimization | Liangyu Zhang | Shanghai University of Finance and Economics | | 3 | 14:20-14:45 | Large Language Models in the Financial Domain | Liwen Zhang | Shanghai University of Finance and Economics | | 4 | 14:45-15:10 | Renewable Regression Inference with Heterogeneous and Periodic Streaming Data | Xuerong Chen | Southwestern University of Finance and Economics |15:30-17:10 · Libo Room · Functional Inequalities and Related Topics（4 场）
*主办：IMS China · 组织：Lian Wu（Central South University） · 主持：Wangjun Yuan（Southern University of Science and Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Volume Asymptotics of Intersection and Difference of Schatten Balls | Qiang Zeng | Chinese Academy of Sciences | | 2 | 15:55-16:20 | Noncommutative Functional Inequalities and Their Applications | Sijie Luo | Central South University | | 3 | 16:20-16:45 | 非交换索伯列夫不等式 | Bang Xu | Xiamen University | | 4 | 16:45-17:10 | 循环群上的对数索伯列夫不等式 | Gan Yao | Harbin Institute of Technology |08:30-10:10 · Baihua Meeting Room · Large-Scale Inference and Selective Inference（4 场）
*主办：Chinese Society for Probability and Statistics · 组织：Wenguang Sun（Zhejiang University）、Sheng Yu（Tsinghua University） · 主持：Zinan Zhao（Zhejiang University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Multiple Testing Meets Data Visualization: A Modern Perspective on Boxplots and Bagplots | Bowen Gang | Fudan University | | 2 | 08:55-09:20 | Active Hypothesis Testing under Computational Budgets | Yin Xia | Fudan University | | 3 | 09:20-09:45 | Nonparametric Statistical Inference for Permutation-Based Models: Optimality and Adaptivity | Dongdong Xiang | East China Normal University | | 4 | 09:45-10:10 | Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization | Yajie Bao | Nankai University |10:30-12:10 · Baihua Meeting Room · Some Recent Topics in Causal Inference（3 场）
*组织：Rajarshi Mukherjee（Harvard T.H. Chan School of Public Health） · 主持：Rajarshi Mukherjee（Harvard T.H. Chan School of Public Health）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Data-Automated Policy Learning for Nonlinear Welfare | Zheng Zhang | Renmin University of China | | 2 | 10:55-11:20 | Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics | Zixiao Wang | Harvard University | | 3 | 11:20-11:45 | Where Best to Intervene? | Caleb Miles | Columbia University |13:30-15:10 · Baihua Meeting Room · Frontiers in Causal Inference and High-Dimensional Data Analysis（3 场）
*组织：Jianqiao Wang（Tsinghua University） · 主持：Zijun Gao（University of Southern California）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Causal Partial Identification via Optimal Transport | Zijun Gao | University of Southern California | | 2 | 13:55-14:20 | Root Cause Discovery | Jinzhou Li | National University of Singapore | | 3 | 14:20-14:45 | Nonparametric Estimation and Inference with Elliptic PDE Priors | Wenlu Xu | UCLA |15:30-17:10 · Baihua Meeting Room · Recent Advances in Statistical Inference for Complex Dynamic Data（4 场）
*组织：Yao Hu（Guizhou University） · 主持：Yao Hu（Guizhou University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | A Class of Threshold Autoregressive Interval Model with a Dynamic Threshold Driven by Explanatory Variables | Kai Yang | Changchun University of Technology | | 2 | 15:55-16:20 | Parameter Estimation for High-Dimensional State-Space Model via Ensemble Kalman Filter | Yang Sun | Peking University | | 3 | 16:20-16:45 | Hierarchical Gaussian Markov Random Field Modeling of Finite Element Models with Boundary Conditions | Yan Wang | Beijing University of Technology | | 4 | 16:45-17:10 | Robust Selection of the Number of Change-Points via FDR Control | Hui Chen | Jiangsu Normal University |08:30-10:10 · Hongfeng Meeting Room · Statistical Learning for High-Dimensional Inference and Specific Applications（4 场）
*组织：Wenliang Pan（Chinese Academy of Sciences） · 主持：Wenliang Pan（Chinese Academy of Sciences）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Differentially Private Sliced Inverse Regression in the Federated Paradigm | Xin Chen | Southern University of Science and Technology | | 2 | 08:55-09:20 | Neural Wasserstein Two-Sample Tests | Zhenhua Lin | National University of Singapore | | 3 | 09:20-09:45 | A General Framework of Brain Region Detection and Genetic Variants Selection in Imaging Genetics | Long Feng | The University of Hong Kong | | 4 | 09:45-10:10 | Orthogonal Covariate Balancing for Causal Inference | Ying Yan | Sun Yat-sen University |10:30-12:10 · Hongfeng Meeting Room · High-Dimensional Independence and Nonparametric Testing Methods（3 场）
*组织：Wenliang Pan（Chinese Academy of Sciences） · 主持：Ruizhe Jiang（Jinan University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Distribution-Free Robust Independence Test for High-Dimensional Data via Semi-Grothendieck's Divergence | Ruizhe Jiang | Jinan University | | 2 | 10:55-11:20 | Test of Multivariate Independence via Comparing Two Bivariate Means | Yeqing Zhou | Tongji University | | 3 | 11:20-11:45 | Testing Independence and Conditional Independence in High Dimensions via Coordinatewise Gaussianization | Jing He | Southwestern University of Finance and Economics |13:30-15:10 · Hongfeng Meeting Room · 半监督学习与高维数据（4 场）
*组织：Yong Zhou（East China Normal University） · 主持：Yong Zhou（East China Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Adaptive Semi-Supervised Inference for Estimating Equations: A Nonparametric Projection Approach using ReQU Neural Networks | Shanshan Song | Tongji University | | 2 | 13:55-14:20 | Deep Transformation Model | Tong Wang | Southeast University | | 3 | 14:20-14:45 | Dynamic Logistic Normal Multinomial Model for Microbiome Data | Shucong Zhang | University of International Business and Economics | | 4 | 14:45-15:10 | High-Resolution Inversion of Ocean Surface Current Fields via Diffusion Priors and Multimodal Constraints | Shuyi Zhang | East China Normal University |15:30-17:10 · Hongfeng Meeting Room · Statistical Learning for Complex Data（6 场）
*主持：Mengyu Wang（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | Multi-Scale Dynamic Graph Neural Network for Electricity Load Forecasting | Chuanchuan Qin | Shanghai University of Engineering Science | | 2 | 15:46-16:02 | Hierarchically Sparse Neural Networks via Auxiliary Responses | Jiajing Xue | Xiamen University | | 3 | 16:02-16:18 | Transfer Learning for Degree-Corrected Mixed Membership Network Models | Haoran Tang | Shandong University | | 4 | 16:18-16:34 | An Adaptive Test for High-Dimensional Mean Change-Points | Dingyi Yu | Tsinghua University | | 5 | 16:34-16:50 | Closed-Loop Adaptive Monitoring and Fault Isolation for Partially Observed High-Dimensional Data Streams | Yingying Liu | Shanghai University of Finance and Economics | | 6 | 16:50-17:06 | SIRI: Tensor Rank Selection via Stability Index with Random Initializations | Mengyu Wang | Xiamen University |08:30-10:10 · Doupeng Mountains Meeting Room · High-Dimensional Inference and Learning under Complex Data Settings（4 场）
*组织：Xuejun Jiang（Southern University of Science and Technology） · 主持：Xuejun Jiang（Southern University of Science and Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Cross-Semantic Transfer Learning for High-Dimensional Linear Regression | Xuejun Jiang | Southern University of Science and Technology | | 2 | 08:55-09:20 | Testing High-Dimensional Parameters in Quantile Regression with High-Dimensional Control Factor | Xu Liu | Shanghai University of Finance and Economics | | 3 | 09:20-09:45 | To Explore or to Commit: Conservative Optimism with Pessimistic Baselines for Offline-to-Online Learning | Fang Kong | Southern University of Science and Technology | | 4 | 09:45-10:10 | Fine-Tuning LLM Agents without Fine-Tuning LLMs | Linyi Yang | Southern University of Science and Technology |10:30-12:10 · Doupeng Mountains Meeting Room · Statistical Learning, Networks, and Decision Science（4 场）
*组织：Hansheng Wang（Peking University） · 主持：Hansheng Wang（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Deep Autoencoders for Nonlinear Factor Models: Theory and Applications | Zhouyu Shen | Peking University | | 2 | 10:55-11:20 | Bi-SCORE for Weighted Bipartite Networks with Application in Knowledge Source Discovery | Rui Pan | Central University of Finance and Economics | | 3 | 11:20-11:45 | Multi-Relational Network Autoregression Model with Latent Group Structures | Yimeng Ren | The Hong Kong University of Science and Technology | | 4 | 11:45-12:10 | Byzantine-robust Federated Learning via Convex Hull Search | Zhao Chen | Fudan University |13:30-15:10 · Doupeng Mountains Meeting Room · Microeconometrics（4 场）
*组织：Ying Fang（Xiamen University） · 主持：Ming Lin（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Estimating Intergenerational Mobility via a Time-Varying Mixed Copula Method | Zongwu Cai | University of Kansas | | 2 | 13:55-14:20 | Estimating Counterfactual Distributions under Staggered Adoption in Short Panels | Ming Lin | Xiamen University | | 3 | 14:20-14:45 | 提升面板数据模型中PCA估计量的稳健性 | Liangjun Su | Tsinghua University | | 4 | 14:45-15:10 | Marginal Treatment Effect in High Dimension Setting | Yahong Zhou | Shanghai University of Finance and Economics |15:30-17:10 · Doupeng Mountains Meeting Room · Econometrics（3 场）
*组织：Qiwei Yao（London School of Economics and Political Science） · 主持：Baojun Dou（City University of Hong Kong）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | CP-Factorization for High Dimensional Tensor Time Series and Double Projection Iterations | Guanglin Huang | Southwestern University of Finance and Economics | | 2 | 15:55-16:20 | Large-Scale Curve Time Series with Common Stochastic Trends | Degui Li | University of Macau | | 3 | 16:20-16:45 | Structural Identification for Spatial-Temporal Dynamic Models | Rongmao Zhang | Zhejiang Gongshang University |08:30-10:10 · Songbai Mountains Multifunctional Meeting Room · Applications of Omics Technology to Uncover Human Disease Pathogenesis（4 场）
*主办：Biostatistics Branch of Chinese Preventive Medicine Association · 组织：Chaolong Wang（Huazhong University of Science and Technology） · 主持：Shiquan Sun（Xi'an Jiaotong University）、Xiaoyong Sai（Chinese People's Liberation Army (PLA) General Hospital）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | 人群多组学数据的计算建模与复杂疾病易感机制解析 | Lei Li | Shenzhen Bay Laboratory | | 2 | 08:55-09:20 | 时空蛋白质组构建虚拟细胞 | Rui Sun | Westlake University | | 3 | 09:20-09:45 | 脑衰老细胞图谱构建的统计挑战 | Shiquan Sun | Xi'an Jiaotong University | | 4 | 09:45-10:10 | 中国人群DNA甲基化遗传调控图谱的构建与应用 | Yi Jiang | Huazhong University of Science and Technology |10:30-12:10 · Songbai Mountains Multifunctional Meeting Room · Large Cohort, Big Data and Disease Precision Prevention（4 场）
*主办：Biostatistics Branch of Chinese Preventive Medicine Association · 组织：Yongyue Wei（Peking University） · 主持：Yongyue Wei（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | 基于CKB队列心电图数据的多疾病风险预测深度学习模型 | Canqing Yu | Peking University | | 2 | 10:55-11:20 | 多队列多组学数据赋能肺癌精准风险评估 | Ruyang Zhang | Nanjing Medical University | | 3 | 11:20-11:45 | 基于珠江队列的环境暴露健康因果效应探索 | Wangjian Zhang | Sun Yat-sen University | | 4 | 11:45-12:10 | 基于鄞州百万人群的肺癌风险预测模型集成新方法 | Yongyue Wei | Peking University |13:30-15:10 · Songbai Mountains Multifunctional Meeting Room · Recent Advances of Modern Machine Learning（4 场）
*组织：Yuling Jiao（Wuhan University） · 主持：Yuling Jiao（Wuhan University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | Semi-Supervised Conditional Generative Learning through Stochastic Interpolation and Sufficient Representations | Changyu Liu | Wuhan University | | 2 | 13:55-14:20 | Spiked Matrix Models with Rotationally Invariant Noise: AMP Algorithms and Optimality | Junjie Ma | Chinese Academy of Sciences | | 3 | 14:20-14:45 | Distribution Matching for Self-Supervised Transfer Learning | Wensen Ma | The Hong Kong Polytechnic University | | 4 | 14:45-15:10 | 对称性先验嵌入的深度学习 | Qi Xie | Xi'an Jiaotong University |15:30-17:10 · Songbai Mountains Multifunctional Meeting Room · Statistical and Machine Learning Methods for Brain Signals and BCI（4 场）
*组织：Songxi Chen（Tsinghua University） · 主持：Huaqing Jin（Tsinghua University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:55 | Residual Covariance Unlocks Robust Mapping of Dynamic Causal Brain Network | Peifeng Tong | Tsinghua University | | 2 | 15:55-16:20 | Functional Regression on Product Manifolds with Application to Continuous Brain Connectivity | Lu Wang | Central South University | | 3 | 16:20-16:45 | Modeling and Forecasting Sleep Dynamics Based on Joint Representation–Prediction Learning | Guokun Zhang | Tsinghua University | | 4 | 16:45-17:10 | Bayesian Inference of a Spectral Graph Model for Brain Oscillations | Huaqing Jin | Tsinghua University |08:30-10:10 · Fanjing Mountains Meeting Room · Recent Advances in Biomedical Data Science（4 场）
*组织：Hongyu Zhao（Yale University） · 主持：Tao Wang（Shanghai Jiao Tong University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:55 | Deciphering Microbial Community Dynamics Using Cross-Sectional Data-Informed NeuralODE | Tao Wang | Shanghai Jiao Tong University | | 2 | 08:55-09:20 | Integrative Analysis and Regulatory Inference in Spatial Multi-Omics Data via Graph Representation Learning | Zhixiang Lin | The Chinese University of Hong Kong | | 3 | 09:20-09:45 | An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Wearable Device Data Analysis in Large Population Studies | Xinyue Li | City University of Hong Kong | | 4 | 09:45-10:10 | False Discovery Rate Control via Data Splitting for Testing-After-Clustering | Lijun Wang | Zhejiang University |10:30-12:10 · Fanjing Mountains Meeting Room · Advances in Statistical Methods for Biomedical and Clinical Studies（4 场）
*组织：Jing Lei（Carnegie Mellon University） · 主持：Jing Lei（Carnegie Mellon University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:55 | Generalized Win-Odds Regression Models for Composite Endpoints | Yu Cheng | University of Pittsburgh | | 2 | 10:55-11:20 | Survival Prediction Conditional on Multiple Longitudinal Biomarkers | Kehui Chen | University of Pittsburgh | | 3 | 11:20-11:45 | Decomposing Differences in Cohort Health Expectancy by Cause and Age with Longitudinal Data | Tao Sun | Renmin University of China | | 4 | 11:45-12:10 | Interim Analysis in Sequential Multiple Assignment Randomized Trials for Survival Outcomes | Zi Wang | University of Electronic Science and Technology of China |13:30-15:10 · Fanjing Mountains Meeting Room · Advances in Statistical Learning and Causal Discovery（6 场）
*主持：Xuemei Hu（Chongqing Technology and Business University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | A General Framework of Kalman Smoother for High-Dimensional Nonlinear Dynamic Systems | Haoxiang Zhan | Peking University | | 2 | 13:46-14:02 | Bayesian Network Based Inference for Multivariable Mendelian Randomization | Jiangyan Wang | Nanjing Audit University | | 3 | 14:02-14:18 | Improving Dynamic Treatment Regimes Using External Evidence | Zhenyu Wang | University of Michigan | | 4 | 14:18-14:34 | Semiparametric Estimation with Reduced Dimension for the Treatment Effect in Causal Inference under Missing Data | Tao Tan | Xinjiang University | | 5 | 14:34-14:50 | High Dimensional Maximum Likelihood Theory for Poisson Regression with Increasing Dimensions | Xuemei Hu | Chongqing Technology and Business University | | 6 | 14:50-15:06 | Evaluating Treatment Effects Using Group Testing with Retesting of Positive Groups | Qi Zheng | University of Louisville |15:30-17:10 · Fanjing Mountains Meeting Room · Advances in Statistical Learning for Social and Environmental Systems（6 场）
*主持：Ziyuan Zhao（Northeast Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | How a Parent's Education Shapes Their Children's Academic Achievement: Evidence on Urban-Rural and Gender Disparities in China | Li Xu | Guangdong University of Foreign Studies | | 2 | 15:46-16:02 | 自适应贝叶斯滤波 | Xin Liu | China University of Petroleum | | 3 | 16:02-16:18 | 基于卡尔曼滤波器同化与神经网络校正的DMD三维海洋密度场重构 | Honglin Wan | Ocean University of China | | 4 | 16:18-16:34 | 考虑时空相关性的最优指纹统计推断及区域异质性的非线性扩展 | Hanyue Chen | Peking University | | 5 | 16:34-16:50 | Multiplier Bootstrap Meets High-Dimensional PCA: The Good, the Bad and the Modification | Jiahui Xie | University of California,Davis | | 6 | 16:50-17:06 | Tracking Cognitive Development over Time: A Longitudinal General-Response Model for Multi-Type Data in Cognitive Diagnosis Assessments | Ziyuan Zhao | Northeast Normal University |08:30-10:10 · Qingyan Boardroom · Advances in Causal Inference for Biomedical and Social Sciences（6 场）
*主持：Haoxiang Wang（Peking University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:46 | A Novel Secondary-Outcome Approach to Estimating Primary Causal Effects with Unmeasured Confounders | Desu Kong | East China Normal University | | 2 | 08:46-09:02 | When Screening Misleads: A Robust Mendelian Randomization Test for Reliable Causal Discovery | Bo Chen | Nankai University | | 3 | 09:02-09:18 | Partially Functional Dynamic Backdoor Diffusion-Based Causal Model | Xinwen Liu | Yunnan University(Southwest United Graduate School) | | 4 | 09:18-09:34 | Causal Bayesian Network Learning: Application to the Causal Analysis of Masticatory Function and Coronary Heart Disease in Older Adults | Chunzi Wang | Shanghai Normal University Tianhua College | | 5 | 09:34-09:50 | Clike: Colocalization by LD-Informed Cosine Kernel Embedding | Wenxin Jiang | City University of Hong Kong | | 6 | 09:50-10:06 | Tight Causal Bounds on Rare Outcomes under Multiple Biases in Test-Negative Design | Haoxiang Wang | Peking University |10:30-12:10 · Qingyan Boardroom · Survival Analysis and High-Dimensional Modeling for Biomedical Applications（6 场）
*主持：Mengyu Li（Northeastern University at Qinhuangdao）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:46 | Generalized Win Fraction Regression for Composite Survival Endpoints | Zhiqiang Cao | Shenzhen Technology University | | 2 | 10:46-11:02 | FedCox：联邦式局部自适应Cox比例风险模型 | Changyue Wu | Xiamen University | | 3 | 11:02-11:18 | Robust Variable Selection in High-Dimensional Survival Analysis | Yunwei Zhang | Murdoch University | | 4 | 11:18-11:34 | Identifying Shared Prognostic Genes in Pan-Cancer Studies: A Survival Analysis Approach with a Locally Weighted Group-Penalized Accelerated Failure Time Model | Tengdi Zheng | Beijing University of Technology | | 5 | 11:34-11:50 | Deep Semiparametric Regression under Unequal Probability Sampling | Sijie Xu | Shanghai Jiao Tong University | | 6 | 11:50-12:06 | Semiparametric Model Averaging Prediction in Nested Case-Control Studies | Mengyu Li | Northeastern University at Qinhuangdao |13:30-15:10 · Qingyan Boardroom · Statistical Innovations for Single-Cell and High-Throughput Biomedical Data（6 场）
*主持：Jiasheng Li（The Chinese University of Hong Kong, Shenzhen）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | Differential Inference for Single-Cell RNA-Sequencing | Fangda Song | The Chinese University of Hong Kong, Shenzhen | | 2 | 13:46-14:02 | Gene Set Mediation Analysis in High-Dimensional Epigenetic Studies | Yuzhao Gao | Shanxi University of Finance and Economics | | 3 | 14:02-14:18 | Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models | Tianni Zhang | Xi'an Jiaotong-Liverpool University | | 4 | 14:18-14:34 | Rare Coding and Noncoding Variants Map 1,342 Diseases and Biomarkers in 490,549 Whole Genomes | Yuxin Yuan | Dongbei Normal University | | 5 | 14:34-14:50 | Efficient Causal Inference for Survival Outcomes with External Controls via Machine Learning Methods | Xiaoqi Jiao | East China Normal University | | 6 | 14:50-15:06 | Joint Inference of SCRNA-Seq and SCATAC-Seq for Cell-Type Specific Cis-Regulatory Effects (J-RACE) | Jiasheng Li | The Chinese University of Hong Kong, Shenzhen |15:30-17:10 · Qingyan Boardroom · Functional and Graphical Models for Complex Biomedical Data（6 场）
*主持：Tianwei Yu（The Chinese University of Hong Kong, Shenzhen）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models | Nanwei Wang | University of New Brunswick | | 2 | 15:46-16:02 | 用于整合阿尔茨海默病多模态数据的函数型-向量贝叶斯层次因子回归模型 | Jiayi Fan | Shanghai University of Finance and Economics | | 3 | 16:02-16:18 | 基于距离协方差的函数型条件独立检验与图结构学习 | Yihan Hu | Shanghai University of Finance and Economics | | 4 | 16:18-16:34 | A Functional Latent Space Model for Time-varying Networks with Applications to Clinical Outcomes Data | Guojun Zhu | University of Chinese Academy of Sciences | | 5 | 16:34-16:50 | Multiplex Gray and White Matter Networks in Autism Spectrum Disorder: Differential Topological Alterations and Transcriptomic Associations | Wei Zhao | Hunan Normal University | | 6 | 16:50-17:06 | 组学数据非线性降维与联合分析： 一种新的快速无需调参的算法 | Tianwei Yu | The Chinese University of Hong Kong, Shenzhen |08:30-10:10 · Huangguoshu Theater Meeting Room · Advances in Deep Learning for Interdisciplinary Data（6 场）
*主持：Feng Chen（UNSW Sydney）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:46 | Deep Learning Based Cross-Patient EEG Seizure Analysis Algorithms | Zongpeng Zhang | Peking University | | 2 | 08:46-09:02 | Semiparametric Estimation and Inference for Partially Linear Transformation Models via Deep Neural Networks with Interval-Censored Survival Data | Junkai Yin | Shanghai Jiao Tong University | | 3 | 09:02-09:18 | Expected Shortfall Regression with Deep Neural Networks under Dependence | Peiyao Cai | University of Michigan, Ann Arbor | | 4 | 09:18-09:34 | 多层图正则化感知的半监督学习 | Haiyun Xu | Chaohu University | | 5 | 09:34-09:50 | Real-Time GDP Nowcasting with Mixed-Frequency Dynamic Factor Models and Deep Learning: Evidence from China | Gaoang Chen | Shanghai University of International Business and Economics | | 6 | 09:50-10:06 | Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process | Feng Chen | UNSW Sydney |10:30-12:10 · Huangguoshu Theater Meeting Room · Advances in Trustworthy and Decentralized Learning（6 场）
*主持：Ruiyao Gao（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:46 | Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging | Jie Tang | Beijing Normal University | | 2 | 10:46-11:02 | Decomposition for Bayesian Networks via Minimal D-Separation Tree: Local and Parallel Inference | Yi Sun | Xinjiang University of Finance and Economics | | 3 | 11:02-11:18 | A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration | Yuchen Hu | Shanghai Jiao Tong University | | 4 | 11:18-11:34 | 大语言模型驱动多源复杂调查数据的社会风险测度：文献综述与未来展望 | Feng Wang | Shanxi University of Finance and Economics | | 5 | 11:34-11:50 | A Decentralized Support Vector Machine Based on Majorization-Minimization and ADMM | Li Zhang | Soochow University | | 6 | 11:50-12:06 | Non-convex Penalized Average Hyperplane Support Vector Machine for Multiclass Classification | Ruiyao Gao | Xiamen University |13:30-15:10 · Huangguoshu Theater Meeting Room · Advances in Fair and Efficient Machine Learning（6 场）
*主持：Zongqing Chen（Chongqing Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | AI-Assisted Optimal Functional Estimation | Xiaotian Hou | University of Pennsylvania | | 2 | 13:46-14:02 | Fairness-Aware Bayes Optimal Functional Classification | Xiaoyu Hu | Xi'an Jiaotong University | | 3 | 14:02-14:18 | Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems | Yiran Huang | Nankai University | | 4 | 14:18-14:34 | Transfer Learning for Robust Functional Linear Regression | Jiaya Wu | Shanghai Jiao Tong University | | 5 | 14:34-14:50 | Decentralized Fairness-Aware Generalized Linear Model | Zhengrong Yu | Shanghai Jiao Tong University | | 6 | 14:50-15:06 | FAIR-AL: Fair and Efficient Active Learning by Auditing Demographic Query Drift-A Feature-Based ASD Screening Case Study | Zongqing Chen | Chongqing Normal University |15:30-17:10 · Huangguoshu Theater Meeting Room · Advances in Clustering and Robust Learning（6 场）
*主持：Jianxi Zhao（Beijing Information Science and Technology University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | A Communication Efficient Boosting Method for Distributed Spectral Clustering | Yingqiu Zhu | University of International Business and Economics | | 2 | 15:46-16:02 | Energy Score-Guided Neural Gaussian Mixture Model for Predictive Uncertainty Quantification | Yang Yang | East China Normal University | | 3 | 16:02-16:18 | Transfer Learning for Unsupervised Clustering via Representation Learning | Tianhao Chen | Shandong University | | 4 | 16:18-16:34 | Adversarial Contamination Meets Hard Thresholding: An Iterative Algorithm with Signal Adaptivity and Minimax Optimality | Shixiang Liu | Renmin University of China | | 5 | 16:34-16:50 | Model-Based Clustering of Matrix Valued Data via Shared Low-Rank Decomposition | Qiqi Xu | Northeast Normal University | | 6 | 16:50-17:06 | Loss-Induced Binary Code Learning for Noise-Immune Multi-View Clustering | Jianxi Zhao | Beijing Information Science and Technology University |08:30-10:10 · ASEAN Roundtable Forum Meeting Room · Advances in Environmental and Financial Econometrics（6 场）
*主持：Ruiyun Zhang（Beijing University of Technology）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:46 | 人工智能背景下平台经济对非正规就业的影响研究 | Xiaoyan Liu | Shanxi University of Finance and Economics | | 2 | 08:46-09:02 | Process-Augmented State Space Completion for High-Frequency Volatility with Informative Discrepancy Errors | Xu Liu | Shandong University of Finance and Economics | | 3 | 09:02-09:18 | 基于AR-SV Copula分位数回归的上海黄金对人民币汇率市场的溢出效应测度研究 | Hui Shen | Northwest A&F University | | 4 | 09:18-09:34 | 基于GML指数的新疆兵团种植业低碳生产效率及发展差异研究 | Dan Wang | Xinjiang University of Political Science and Law | | 5 | 09:34-09:50 | 中国经济安全的水平测度、时空演化与监测预警 | Zhe Liu | Zhongnan University of Economics and Law | | 6 | 09:50-10:06 | Kernel Conditional Moment Tests with Estimated Parameters | Ruiyun Zhang | Beijing University of Technology |10:30-12:10 · ASEAN Roundtable Forum Meeting Room · Advances in High-Dimensional and Spatial Data Analysis（6 场）
*主持：Yaqi Cao（Minzu University of China）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:46 | Value-at-Risk Forecasting in Global Energy Futures Markets: A Generalized Random Forest Approach | Wenzhuo Tian | Shanghai University of Engineering Science | | 2 | 10:46-11:02 | High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections | Jiaxin Shi | Peking University | | 3 | 11:02-11:18 | A TimeGPT-GARCH Family Model Incorporating Multi-Source Information Fusion for Volatility Forecasting in China's Financial Markets | Haiqing Chen | Nanjing University of Finance and Economics | | 4 | 11:18-11:34 | 共同富裕视域下黄河流域乡村产业振兴对农村人居环境碳排放的非线性效应及提升路径研究 | Yaen Xue | Inner Mongolia University of Finance and Economics | | 5 | 11:34-11:50 | “以数治税”何以提升地方财政可持续性？ | Luyao Ma | Xinjiang University of Finance and Economics | | 6 | 11:50-12:06 | Distribution-Free Conformal Prediction for Uncertainty-Aware Medical Text Triage with Hierarchical Language Models | Yaqi Cao | Minzu University of China |13:30-15:10 · ASEAN Roundtable Forum Meeting Room · Recent Developments in Factor Analysis and Dimension Reduction（5 场）
*主持：Li Shi（Guangzhou Huashang College）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:50 | 因子模型的设定误差及其改进 | Haiming Lin | Zunyi Normal University | | 2 | 13:50-14:10 | 如何用SAS软件计算因子分析应用结果 | Juncai Chen | Guangdong University of Finance and Economics | | 3 | 14:10-14:30 | 旋转后因子分析综合评价的应用-基于因子分析最小误差模型 | Zhongyan Li | Guangdong University of Finance and Economics | | 4 | 14:30-14:50 | 因子分析综合评价研究综述 | Zhaode Liu | Guangdong University of Finance and Economics | | 5 | 14:50-15:10 | 主成分分析模型的改进与检验研究 | Li Shi | Guangzhou Huashang College |15:30-17:10 · ASEAN Roundtable Forum Meeting Room · Advances in Network Time Series and Risk Spillovers（6 场）
*主持：Kewen Shi（Nanjing Audit University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | 县域数字普惠金融空间关联主干网络演化及韧性研究 | Changlan Hong | Chongqing University of Technology | | 2 | 15:46-16:02 | Reduced-Rank Autoregressive Model for High-Dimensional Multivariate Network Time Series | Qi Lv | Shanghai Jiao Tong University | | 3 | 16:02-16:18 | Model-Xt Knockoffs: Controlling the False Discovery Rate in High Dimensional Time Series | Zexin Huang | Fudan University | | 4 | 16:18-16:34 | 高水平对外开放下我国金融机构风险溢出的研究 | Haoya Zhang | Zhongnan University of Economics and Law | | 5 | 16:34-16:50 | 投资者情绪压力与美国经济政策不确定性对泛能源市场风险连接度的非线性影响：基于TVP-SV-VAR与门限模型 | Xiao Li | Shanxi University of Finance and Economics | | 6 | 16:50-17:06 | Heterogeneous Autoregressive Model for Symmetric Matrix-Valued Time Series | Kewen Shi | Nanjing Audit University |08:30-10:10 · Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson · Network and Graphical Models and Tensor and Matrix Methods（6 场）
*主持：Xuefei Wang（Southeast University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:46 | Revisiting Madigan and Mosurski: Collapsibility via Minimal Separators | Pei Heng | Northeast Normal University | | 2 | 08:46-09:02 | Modeling and Inference for High-Dimensional Mediation Analysis with Endogeneity | Xinyu Zhang | Xiamen University | | 3 | 09:02-09:18 | Clustering Analysis on Multi-layer Networks with Group Structure and Sparsity Heterogeneity | Xuefei Wang | Southeast University | | 4 | 09:18-09:34 | High-Dimensional Heterogeneous Factor-Augmented Generalized Linear Regression Models for Multi-View Data | Tianmei Niu | Shanghai Jiao Tong University | | 5 | 09:34-09:50 | Transfer Learning in High-Dimensional Group Factor Models | Yunjing Sun | Shandong University | | 6 | 09:50-10:06 | Estimating the Number of Significant Components in High-Dimensional Principal Component Analysis | Zhixiang Zhang | University of Macau |10:30-12:10 · Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson · Hypothesis Testing and Privacy and Differential Privacy（6 场）
*主持：Jiajun Sun（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:46 | Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data | Yifan Gu | Renmin University of China | | 2 | 10:46-11:02 | Analysis of Quadratic Forms of High-Dimensional Non-Stationary Time Series, with Application to ANOVA and Independent Testing | Yunyi Zhang | The Chinese University of Hong Kong, Shenzhen | | 3 | 11:02-11:18 | Distributed Hypothesis Testing for High Dimensional Mutual Independence | Xiangyu Shi | Nanjing Forestry University | | 4 | 11:18-11:34 | Differentially Private Gaussian Graphical Model: Optimality, Algorithm and FDR Control | Jiajun Sun | Xiamen University | | 5 | 11:34-11:50 | Noncentral Normal-Reference Transfer Theory for High-Dimensional L² Mean Tests | Pengfei Wang | Nanyang Technological University | | 6 | 11:50-12:06 | Minimax Detection of Localized Underdensity in Uniformity Testing on Closed Manifolds | Jixin Wang | Imperial College London |13:30-15:10 · Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson · Experimental Design and Educational Measurement and Psychometrics（6 场）
*主持：Yi Ding（University of International Business and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | Change Point Detection for Large-dimensional Factor Models: A New Perspective from Subspace Distance | Yalin Wang | Shandong University | | 2 | 13:46-14:02 | Distributed Estimation for Heterogeneous Linear Models with Missing Values | Zhongyang Liu | Beijing University of Technology | | 3 | 14:02-14:18 | Space-Filling Order-of-Addition Designs Based on the Kendall-Tau Distance | Hui Shao | East China Normal University | | 4 | 14:18-14:34 | Empirical Likelihood Based Change Point Detection in Linear Regression Model with Skew-Normal Errors | Sha Li | Beijing Normal University | | 5 | 14:34-14:50 | Efficient Adaptive Approximate Zig-Zag Sampler for IRT Models | Rui Tian | Northeast Normal University | | 6 | 14:50-15:06 | Likelihood-Based Change Point Detection in Sparse Dynamic Networks | Yi Ding | University of International Business and Economics |15:30-17:10 · Executive Meeting Room, 12th Floor, Qunsheng Howard Johnson · Advances in Statistical Methods for Neurological and Psychiatric Disorders（6 场）
*主持：Hairong Xiao（Hunan Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | Closed-Form Confidence Intervals for Saved Time Using Summary Statistics in Alzheimer's Disease Studies | Guogen Shan | University of Florida | | 2 | 15:46-16:02 | Travel-Rate Projection Model (TRPM): A Physiologically Interpretable Model for Arterial Input Function Estimation in Dynamic PET | Zhaoyan Xiu | Inner Mongolia University of Finance and Economics | | 3 | 16:02-16:18 | Joint Structural Break Detection and Variable Selection in High-Dimensional Functional Models: With Application to Sleep EEG Dynamics | Mengfei Ran | Xi'an Jiaotong-Liverpool University | | 4 | 16:18-16:34 | Cell-Type-Specific Mendelian Randomization of Four Major Psychiatric Disorders on Brain Structure | Jiayi Liu | Hunan Normal University | | 5 | 16:34-16:50 | Dynamical Abnormalities Analysis and Virtual Intervention Studies in Three Neuropsychiatric Disorders | Shengyi Wang | Hunan Normal University | | 6 | 16:50-17:06 | Altered States and Transitions in Major Depressive Disorder and Their Clinical and Molecular Associations | Hairong Xiao | Hunan Normal University |08:30-10:10 · Meeting Room, 1st Floor, Qunsheng Garden Hotel · Statistical Learning for Financial and Energy Data（6 场）
*主持：Jiakun Guo（Lanzhou University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:46 | Covariate-Augmented Tensor Factor Models | Lingxiao Li | The Hong Kong Polytechnic University | | 2 | 08:46-09:02 | Quantile Regression and Fuzzy-Probabilistic Inference in Financial Decision-Making | Tomas Tichy | VSB–Technical University of Ostrava | | 3 | 09:02-09:18 | Graph Neural Network Driven Volatility Indices Forecasting Integrating Multi-Scale Spillovers and Jumps | Gaoxiu Qiao | Southwest Jiaotong University | | 4 | 09:18-09:34 | 条件异方差的分位数单位根检验及对原油价格非对称持久性的研究 | Jinbao Wei | Jiangxi University of Finance and Economics | | 5 | 09:34-09:50 | Structural Reconstruction in the Carbon–Energy Risk Network: Evidence from Layered External Shocks | Pei Zhang | Shanxi University of Finance and Economics | | 6 | 09:50-10:06 | 基于最小绝对误差准则的稳健卡尔曼滤波 | Jiakun Guo | Lanzhou University |10:30-12:10 · Meeting Room, 1st Floor, Qunsheng Garden Hotel · Advances in Financial Economics and Policy Analysis（6 场）
*主持：Juan Lin（Xiamen University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:46 | Tail-Driven Nonparametric Estimation for State Price Densities | Yating Wan | Tianjin University of Finance and Economics | | 2 | 10:46-11:02 | 人工智能与企业韧性——基于国家新一代人工智能创新发展试验区 | Jiawei Pu | Zhongnan University of Economics and Law | | 3 | 11:02-11:18 | 中国货币政策有效性研究：基于稳增长与防风险双重目标的宏微观动态分析 | Jiahui Li | Beijing Normal University | | 4 | 11:18-11:34 | 算力基础设施建设能否促进科技创新与产业创新深度融合？——来自国家超算中心的证据 | Huixin Zhao | Xinjiang University of Finance and Economics | | 5 | 11:34-11:50 | 零售业数字化转型对创新影响研究 | Yukun Zhao | Jimei University | | 6 | 11:50-12:06 | Beyond Conventional Sentiment Indicators: Cryptocurrency's Hidden Potential in VIX Forecasting | Juan Lin | Xiamen University |13:30-15:10 · Meeting Room, 1st Floor, Qunsheng Garden Hotel · 复杂数据学习理论与算法（4 场）
*组织：Songxi Chen（Tsinghua University） · 主持：Pengkun Yang（Tsinghua University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:55 | 神经网络Hessian阵的特性及其对算法分析的应用 | Ruoyu Sun | The Chinese University of Hong Kong, Shen Zhen | | 2 | 13:55-14:20 | Explainable Machine Learning through Efficient Data Attribution | Han Zhao | University of Illinois Urbana-Champaign | | 3 | 14:20-14:45 | Universal Priors: Solving Empirical Bayes via Bayesian Inference and Pretraining | Yanjuan Han | New York University | | 4 | 14:45-15:10 | Fundamental Limits of Community Detection in Contextual Multi-Layer Stochastic Block Models | Zhangsong Li | Peking University |15:30-17:10 · Meeting Room, 1st Floor, Qunsheng Garden Hotel · Advances in Statistical Modeling for Interdisciplinary Applications（6 场）
*主持：Fang Liu（Northeast Normal University）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | 某微信公众号异常流量的统计分析与司法实践 | Da Huang | Fudan University | | 2 | 15:46-16:02 | The Invariant Distributions of a Projected Euler-Maruyama Method for Stochastic Differential Equations with Superlinear Diffusion Coefficients | Hongling Shi | Guangxi University | | 3 | 16:02-16:18 | Adaptive e-BH for Aggregating Evidence across Multiple Experiments | Han Su | Beijing Normal University | | 4 | 16:18-16:34 | 大模型视角下稀疏正交化建模对模型选择算法的影响 | Huiyi Xia | Nanfang College Guangzhou | | 5 | 16:34-16:50 | 气候变暖背景下降水相态演变引起的不对称情绪反应——基于LLM和机器学习分析社交媒体数据的证据 | Junming Li | Shanxi University of Finance and Economics | | 6 | 16:50-17:06 | New Double Generalized Logit Models for Item Response and Response Time Data | Fang Liu | Northeast Normal University |08:30-10:10 · Yangming Conference Room, 3rd Floor, Duocai Hotel · Machine Learning and Artificial Intelligence（6 场）
*主持：Yiting Li（Guizhou University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 08:30-08:46 | 交智未来：基于模糊规则的正交表征学习交通预测模型 | Langsha Zhu | Guizhou University of Finance and Economics | | 2 | 08:46-09:02 | 基于Hermitian Laplacian谱分析的有向动态图异常检测方法研究 | Yulei Yue | Guizhou University of Finance and Economics | | 3 | 09:02-09:18 | 基于改进的Deeplabv3+蜡染图像纹样分割研究 | Junjie Wang | Guizhou University of Finance and Economics | | 4 | 09:18-09:34 | Variational Mode Decomposition Optimized by Tornado Optimization Algorithm Combined with Wavelet Thresholding for Neuronal Spike Signal Denoising | Can Ma | Guizhou University of Finance and Economics | | 5 | 09:34-09:50 | 基于Double Q-Learning算法与声誉机制的人机共同演化 | Xuexue Yang | Guizhou University of Finance and Economics | | 6 | 09:50-10:06 | 贵州省非物质文化遗产的智能化统计实践——以蜡染文化为例 | Yiting Li | Guizhou University of Finance and Economics |10:30-12:10 · Yangming Conference Room, 3rd Floor, Duocai Hotel · Advances in Complex Systems and AI-Driven Optimization（6 场）
*主持：Xiaopeng Li（Guizhou University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 10:30-10:46 | Hypergraph Closeness Energy Centrality: An s-Distance Based Approach for Identifying Influential Nodes | Chuan Ran | Guizhou University of Finance and Economics | | 2 | 10:46-11:02 | Complex Dynamical Analysis of the Frackiewicz Quantum Commons Game with Bounded Rationality | Xingjing Zhang | Guizhou University of Finance and Economics | | 3 | 11:02-11:18 | 低空物流无人机辅助无线传感器网络中数据采集的轨迹与传输功率优化 | Shifen Luo | Guizhou University of Finance and Economic | | 4 | 11:18-11:34 | 基于多智能体强化学习的云制造分布式车间绿色动态调度 | Guiyuan Zeng | Guizhou University of Finance and Economics | | 5 | 11:34-11:50 | 中国数字经济发展水平测度、时空差异与趋势预测研究——基于多源数据与机器学习的分析 | Xiang Li | Guizhou University of Finance and Economics | | 6 | 11:50-12:06 | 自我高估诱导的非对称比较促进了社会困境中的合作演化 | Xiaopeng Li | Guizhou University of Finance and Economics |13:30-15:10 · Yangming Conference Room, 3rd Floor, Duocai Hotel · Applied Statistics for Economics and Society（6 场）
*主持：Xiuchun Bi（Guizhou University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 13:30-13:46 | 政府监管、融资约束与企业技术升级 | Ya Gao | Guizhou University of Finance and Economics | | 2 | 13:46-14:02 | 数字产品创新对企业韧性的影响研究——基于行业技术关联网络的调节效应分析 | Na Dai | Guizhou University of Finance and Economics | | 3 | 14:02-14:18 | 隐性担保、市场担保对城投债发行利差的影响 | Qiu Liu | Guizhou University of Finance and Economics | | 4 | 14:18-14:34 | 基于多层复杂网络的碳纤维复合材料产业链风险传播研究 | Heng Zhao | Guizhou University of Finance and Economics | | 5 | 14:34-14:50 | 基于PADIS-INT的省域中长期人口老龄化的城市—镇—乡村差异研究 | Wenjing Ran | Guizhou University of Finance and Economics | | 6 | 14:50-15:06 | 耦合液态神经网络的深度函数因子模型 | Xiuchun Bi | Guizhou University of Finance and Economics |15:30-17:10 · Yangming Conference Room, 3rd Floor, Duocai Hotel · Interdisciplinary Data Science for Society and Nature（6 场）
*主持：Lianghong Yuan（Guizhou University of Finance and Economics）* | # | 时间 | 题目 | 讲者 | 单位 | |:--:|:--:|------|------|------| | 1 | 15:30-15:46 | 数字金融对农民返乡创业意愿的影响研究 | Xinpo Tian | Guizhou University of Finance and Economics | | 2 | 15:46-16:02 | 数字文体旅发展对居民消费结构升级的影响研究 | Fangling Lu | Guizhou University of Finance and Economics | | 3 | 16:02-16:18 | 笙歌引客，苗韵兴商—雷山苗年文化认知与传承发展调查及对策研究 | Jian Ding | Guizhou University of Finance and Economics | | 4 | 16:18-16:34 | 技能偏向型技术进步视角下数字技术对农户收入的影响研究 | Xianjun Gou | Guizhou University of Finance and Economics | | 5 | 16:34-16:50 | 基于随机森林的化学物质对水质影响分析 | Qing Hu | Guizhou University of Finance and Economics | | 6 | 16:50-17:06 | Energy-Stable EIEQ Time Discretization for the PFC–FCC Model: Convergence Analysis and Applications to Crystal Growth | Lianghong Yuan | Guizhou University of Finance and Economics |Maintained by 陈星宇 · Homepage · Source on GitHub