Sessions

Session 1: Advanced Statistical Methods for Complex Data Modeling

Quantifying Individual Risk for Binary Outcome: Bounds and Inference

Dongxiao Han, Nankai University

Orthogonalized Score Tests for Conditional Variable Significance in Deep Partial Linear Cox Models

Meiling Hao, University of International Business and Economics

Maximum Likelihood Estimation in the Sparse Rasch Model

Lianqiang Qu, Central China Normal University

Joint Modeling for Zero-Inflation in Microbiome-Metabolome Association Analysis

Peng Ye, University of International Business and Economics

Session 2: Frontiers in Statistical Learning and Inference

Transfer Learning with Heterogeneous Feature Spaces in Linear Regression

Junlong Zhao, Beijing Normal University

Design-Based Prediction-Powered Inference for Edge-Level Outcomes in Directed Networks

Hanzhong Liu, Tsinghua University

Evaluate Variables Importance by Weighted Subspace: Another Look at Forward Screening

Yiwei Fan, Beijing Institute of Technology

Decoupled Functional Central Limit Theorems for Two-Time-Scale Stochastic Approximation

Yuze Han, Renmin University of China

Session 3: Geometric and Statistical Modeling of Complex Data

Deep Isometric Manifold Embedding for Video

Feng Li, Peking University

Ball Impurity: Measuring Heterogeneity in General Metric Spaces

Ting Li, Southern University of Science and Technology

A General Framework of Brain Region Detection and Genetic Variants Selection in Imaging Genetics

Long Feng, University of Hong Kong

Hidden Block Regression: A General Framework for Multi-Response Models with Group Structures and Hidden Variables

Yuehan Yang, Central University of Finance and Economics

Session 4: Modern Statistical Methods for High-Dimensional, Fairness and Deep Learning Models

Adaptive Sparse Regression with Dynamic Covariance for Portfolio Optimization

Lei Huang, Southwest Jiaotong University

A High-Dimensional Regression Model Based on Residual-Driven Nonlinear Screening

Shouri Hu, University of Electronic Science and Technology of China

Nonparametric Based Fairness Auditing

Xianli Zeng, Xiamen University

Consistency for Large Neural Networks: Regression and Classification

Haoran Zhan, Southwestern University of Finance and Economics

Session 5: Trustworthy AI and Statistical Governance

Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle

Haojie Ren, Shanghai Jiao Tong University

Neural Wasserstein Two-Sample Tests

Xiaoyu Hu, Xi'an Jiaotong University

Online Differentially Private Inference with Streaming Data

Jinhan Xie, Yunnan University

Asymptotic Theory and Sequential Test for General Multi-Armed Bandit Process

Xiaodong Yan, Xi'an Jiaotong University

Session 6: Statistical Learning Methods for Biomedical Data and Precision Medicine

Modeling Time-Varying Effects of Recurrent Exposures: A Time-Adapted Exponential Model to Assess Impact of Post-LVAD Bleeding on Mortality

Guangyu Yang, Renmin University of China

Neural Network on Interval-Censored Data: Application to the Prediction of Alzheimer's Disease

Tao Sun, Renmin University of China

Incorporating External Data for Analyzing Randomized Clinical Trials: A Transfer Learning Approach

Wei Ma, Renmin University of China

Kernel Smoothing-Based Methods for Estimating the Optimal Individualized Treatment Rule for Binary Outcomes

Min Zhang, Tsinghua University

Session 7: Statistical and Computational Foundations of Machine Learning

Understanding the Deep Learning from Data Statistics

Zhiqin Xu, Shanghai Jiao Tong University

Statistical, Computational, and Expressive Trade-Offs in Tensor Decomposition

Cong Fang, Peking University

Data Selection for LLM: Evolving from Closed to Open

Jun Shu, Xi'an Jiaotong University

Making Implicit Neural Networks Explicit: Theory and Efficient Inference

Zenan Ling, Huazhong University of Science and Technology

Session 8: Frontier Methods in Biostatistics

LLM-Assisted Clinical Trial Emulation Using Diverse Private Data

Hao Mei, Renmin University of China

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

BayesRare: Bayesian Mixture Model for Population-Level Rare Cell Type Detection in Multi-Subject Single-Cell RNA Sequencing

Yinqiao Yan, Beijing University of Technology

Joint Modeling of Longitudinal Biomarkers and Time-to-Event Data via Ordinary Differential Equations

Ziyang Gong, Southwestern University of Finance and Economics

Session 9: AI-Powered Statistical Inference

Metric Conformal Prediction Based on the Expected Local Radius

Rui Qiu, Peking University

Optimal Semi-Supervised Inference for Estimating Equations: A Nonparametric Projection Approach Using ReQU Neural Networks

Shanshan Song, Tongji University

A Conditional Distribution Equality Testing Framework Using Deep Generative Learning

Siming Zheng, Southeast University

Generative Doubly Robust Estimation for General Treatment Effects

Qixian Zhong, Xiamen University

Session 10: Statistical Aspects of Modern Machine Learning

Leading Science and Clinical Research-Biostatistics in the Age of AI

Haoda Fu, Amgen

Robustness and Fairness in Medical Machine Learning

Lu Tang, University of Pittsburgh

Non-Asymptotic Theories of Neural Networks for Spatial Data

Gan Yuan, City University of Hong Kong

Learning from the Unseen: Offline Reinforcement Learning with Hidden Actions

Ying Zhou, University of Connecticut