开幕式

08:30~09:00

大会报告

09:00~09:50

大会报告

10:10~11:00

大会报告

11:00~11:50

Networks and Modern Learning

13:30~15:10

Learning, Inference, and Influence: New Frontiers in Data and AI

15:30~17:10

Statistics for Business

13:30~15:10

AI for Complex Systems: Methods and Applications

15:30~17:10

临床研究与数据监管2

13:30~15:10

Statistical AI Methods for Health and Medicine

15:30~17:10

Mathematical Foundations of Deep Learning

13:30~15:10

Interacting Particle System and Related Models

15:30~17:10

Recent Advances in Reinforcement Learning

13:30~15:10

Recent Advances in Statistical Methods and Theory

15:30~17:10

Probability and Asymptotic Theory

13:30~15:10

Financial Econometrics

15:30~17:10

Regional and Urban Economics and Experimental Design

13:30~15:10

Advances in Economic and Social Data Science

15:30~17:10

Federated Learning and Statistical Data Privacy

13:30~15:10

Trustworthy and Privacy-Preserving Statistical Learning

15:30~17:10

Statistics for Finance, Economics and Business

13:30~15:10

Learning for Voice, Adversarials, Digital Twin and Changepoints

15:30~17:10

Statistical Innovation for Trustworthy AI

13:30~15:10

Statistical Perspectives on Causal Inference and Modern Machine Learning

15:30~17:10

Generative AI and Synthetic Data-Powered Statistical Inference

13:30~15:10

Some Aspects Related to Feature Learning

15:30~17:10

Statistical Methods for Empirical Asset Pricing

13:30~15:10

Modern Statistical Methods for Complex Data Problems

15:30~17:10

Advances in Causal Inference and Adaptive Learning

13:30~15:10

Prediction-Powered Inference and Network Data Analysis

15:30~17:10

Modern Sampling Techniques and Applications

13:30~15:10

Model Averaging and Related Spheres (MARS)

15:30~17:10

Statistical Learning on Networks and Matrices

13:30~15:10

Inference in Statistical Models for Network Data

15:30~17:10

院长论坛：AI时代统计与数据科学学科发展

13:30~14:40

Professor George C. Tiao Memorial Session

14:40~15:10

Professor Peter Hall Memorial Session

15:30~17:10

Variable Selection and FDR Control and Change Point Detection

13:30~15:10

Variable Selection and FDR Control and Network and Graphical Models

15:30~17:10

Uncertainty Quantification and Robust Learning: From Conformal Prediction to Generative Models

13:30~15:10

Privacy-Preserving and Communication-Efficient Distributed Learning

15:30~17:10

大会报告

08:30~09:20

大会报告

09:20~10:10

大会报告

10:30~11:20

专题讨论：“101计划”教材建设成果发布会（教育部统计学基础学科试点项目）

11:20~12:10

Deep Generative Models, Distributional Evaluation, and Constrained LLM Training

13:30~15:10

Statistics x AI

15:30~17:10

Recent Development on High-Dimensional Data Modeling

13:30~15:10

High-Dimensional Statistics and Random Matrices

15:30~17:10

临床研究与数据监管1

13:30~15:10

Advances in Statistical Methods for Complex Biomedical Data

15:30~17:10

Advances in AI-Driven Statistical Learning

13:30~15:10

Recent Advances in Network Analysis and Related Areas

15:30~17:10

Data Integration and Surrogate Endpoint for Causal Inference

13:30~15:10

Design-Based Causal Inference

15:30~17:10

Recent Advance of Statistics and Machine Learning

13:30~15:10

Recent Advance of Network Data Analysis and Beyond

15:30~17:10

Recent Advances in Change Point Analysis for Complex Data: High-Dimensional Time Series and Dynamic Networks

13:30~15:10

High-Dimensional Inference and Variable Selection and FDR Control

15:30~17:10

Analysis of High Dimensional and Correlated Data

13:30~15:10

Advancements in Statistical Learning for Precision Medicine

15:30~17:10

Statistical Inference on Clinical Trials and Censored Data

13:30~15:10

Modern Statistical Inference and Machine Learning for Complex Data

15:30~17:10

机器学习的统计视角：从表征到推断

13:30~15:10

Advances in Economic and Environmental Data Science

15:30~17:10

半监督学习与高维数据

13:30~15:10

Statistics with Deep Learning

15:30~17:10

Statistical Methods in Generative AI and Network Models

13:30~15:10

Free Probability and Random Matrix

15:30~17:10

Recent Developments in Statistical Methods and Learning

13:30~15:10

Recent Advances in Real-World Data Integration

15:30~17:10

Modern Inference for Complex and Large-Scale Data

13:30~15:10

Institute of Statistics and Big Data

15:30~17:10

Bayesian and Machine Learning Methods for Multi-Omics and Neuroimaging

13:30~15:10

Advances in Causal Inference and Machine Learning for Complex Data

15:30~17:10

Advances in Machine Learning for Large Language Models and Matrix Methods

13:30~15:10

Advances in High-Dimensional Feature Selection and Optimization

15:30~17:10

Advances in Network and Privacy-Preserving Data Science

13:30~15:10

Advances in Time Series and Causal Machine Learning

15:30~17:10

Variable Selection and FDR Control and Clinical Trials and Drug Development

13:30~15:10

Time Series and Longitudinal Data and Bayesian Methods

15:30~17:10

Statistical Learning for Complex Data

13:30~15:10

Advances in Statistical Inference and Machine Learning

15:30~17:10

Recent Developments in High-Dimensional Learning

08:30~10:10

Modern Machine Learning Theory

10:30~12:10

统计学历史与文化

08:30~10:10

Complex Data Analysis

10:30~12:10

Advances in Functional, Distributional, and Structured Statistical Learning

08:30~10:10

Decoding Complex Structures: From Dimension Reduction to Deep Generative Models

10:30~12:10

Learning-Based Reliability and Cyber Risk Assessment

08:30~10:10

Privacy and Differential Privacy and Quantile and Robust Methods

10:30~12:10

Recent Advance of Statistical Theories in Management and Economics

08:30~10:10

Stochastic Partial Differential Equations

10:30~12:10

Theoretical Econometrics

08:30~10:10

Rank and Graph-Based Methods

10:30~12:10

Dynamic Game and Particle Approximation

08:30~10:10

Statistical Methods in Earth Sciences

10:30~12:10

Novel Data Analytics in Business and Economics

08:30~10:10

Advances in Statistical Methods for Complex Health and Genomics Data: Diagnostics, Modeling, Annotation, and Application

10:30~12:10

Statistical Methods in Causal Inference and Policy Optimization

08:30~10:10

Advanced Statistical Learning: Distribution-Free, Scalable and Cost-Efficient Inference

10:30~12:10

Large-Scale Inference and Selective Inference

08:30~10:10

Some Recent Topics in Causal Inference

10:30~12:10

Statistical Learning for High-Dimensional Inference and Specific Applications

08:30~10:10

High-Dimensional Independence and Nonparametric Testing Methods

10:30~12:10

High-Dimensional Inference and Learning under Complex Data Settings

08:30~10:10

Statistical Learning, Networks, and Decision Science

10:30~12:10

多组学技术在揭示人类疾病病因机制中的应用

08:30~10:10

基于大队列和大数据的疾病风险预测方法

10:30~12:10

Recent Advances in Biomedical Data Science

08:30~10:10

Advances in Statistical Methods for Biomedical and Clinical Studies

10:30~12:10

Advances in Causal Inference for Biomedical and Social Sciences

08:30~10:10

Survival Analysis and High-Dimensional Modeling for Biomedical Applications

10:30~12:10

Advances in Deep Learning for Interdisciplinary Data

08:30~10:10

Advances in Trustworthy and Decentralized Learning

10:30~12:10

Advances in Environmental and Financial Econometrics

08:30~10:10

Advances in High-Dimensional and Spatial Data Analysis

10:30~12:10

Network and Graphical Models and Tensor and Matrix Methods

08:30~10:10

Hypothesis Testing and Privacy and Differential Privacy

10:30~12:10

Statistical Learning for Financial and Energy Data

08:30~10:10

Advances in Financial Economics and Policy Analysis

10:30~12:10

Machine Learning and Artificial Intelligence

08:30~10:10

Advances in Complex Systems and AI-Driven Optimization

10:30~12:10

Recent Advances in Model Free Inference

13:30~15:10

Robust and Distributed Statistical Learning with Subsampling and Transfer Learning

15:30~17:10

Recent Advances in Statistical Modeling for Complex Data

13:30~15:10

Statistical Methods for Biomedical and Genomic Studies

15:30~17:10

Recent Advances in Network Analysis

13:30~15:10

Frontiers in Pharmaceutical Statistics

15:30~17:10

Statistical Innovations for Environmental, Climate, and Urban Systems

13:30~15:10

Statistical Learning for Spatio-Temporal and Network Data

15:30~17:10

Branching Processes and Related Models

13:30~15:10

Robustness and Reliability of Statistical Inference in the AI Age

15:30~17:10

Mean Field Stochastic Control Problems and Related Topics

13:30~15:10

Nonlinear Expectations and Related Topics

15:30~17:10

Stein Method with Recent Advances

13:30~15:10

Random Matrix Theory with Recent Advances

15:30~17:10

Advanced Methods for Inference with Data from Multiple Sources

13:30~15:10

Scalable and Privacy-Preserving Statistical Inference for Dynamic Data

15:30~17:10

Robust Theory and Frontier Applications of Large Models and Embodied Intelligence

13:30~15:10

Functional Inequalities and Related Topics

15:30~17:10

Frontiers in Causal Inference and High-Dimensional Data Analysis

13:30~15:10

Recent Advances in Statistical Inference for Complex Dynamic Data

15:30~17:10

New Advances in Adaptive Randomization

13:30~15:10

Advances in Bayesian Methods and State-Space Models

15:30~17:10

Microeconometrics

13:30~15:10

Econometrics

15:30~17:10

Recent Advances of Modern Machine Learning

13:30~15:10

Statistical and Machine Learning Methods for Brain Signals and BCI

15:30~17:10

Advances in Statistical Learning and Causal Discovery

13:30~15:10

Advances in Statistical Learning for Social and Environmental Systems

15:30~17:10

Statistical Innovations for Single-Cell and High-Throughput Biomedical Data

13:30~15:10

Functional and Graphical Models for Complex Biomedical Data

15:30~17:10

Advances in Fair and Efficient Machine Learning

13:30~15:10

Advances in Clustering and Robust Learning

15:30~17:10

Recent Developments in Factor Analysis and Dimension Reduction

13:30~15:10

Advances in Network Time Series and Risk Spillovers

15:30~17:10

Experimental Design and Educational Measurement and Psychometrics

13:30~15:10

Advances in Statistical Methods for Neurological and Psychiatric Disorders

15:30~17:10

Statistical Methods for Economic and Financial Policy Analysis

13:30~15:10

Advances in Statistical Modeling for Interdisciplinary Applications

15:30~17:10

Applied Statistics for Economics and Society

13:30~15:10

Interdisciplinary Data Science for Society and Nature

15:30~17:10