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2026-07-12 星期日

Xijiang Room

13:30-15:10 | Recent Advances in Change Point Analysis for Complex Data: High-Dimensional Time Series and Dynamic Networks
Organizer：
Yao Hu Guizhou University
Chair：
Yao Hu Guizhou University
编号 时间 类型 题目 讲者 单位
1 13:30-13:55 Invited Talk

Scale-Free Correlation Change-Point Detection in High-Dimensional Dynamic Networks

 Yao Hu Guizhou University
2 13:55-14:20 Invited Talk

Algorithm-Agnostic Post-Clustering Differential Expression Analysis with Asymptotic FDR Control

 Mengtao Wen Nankai University
3 14:20-14:45 Invited Talk

A Bayesian Transfer Learning Framework for Network Latent Space Models

 Tianchen Gao Peking University
4 14:45-15:10 Invited Talk

Spectral Change Point Estimation for High Dimensional Time Series by Sparse Tensor Decomposition

 Xinyu Zhang East China Normal University
15:30-17:10 | High-Dimensional Inference and Variable Selection and FDR Control
Chair：
Nayang Shan Capital University of Economics and Business
编号 时间 类型 题目 讲者 单位
1 15:30-15:46 Contributed Talk

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 Contributed Talk

Upper-Tail Copula-Band Change Point Detection for High-Dimensional Time Series

 Xuesong Fu Guizhou University
3 16:02-16:18 Contributed Talk

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 Contributed Talk

Pathway-Guided Conditional Ultrahigh-Dimensional Feature Screening with Nested Group Structures for Survival Analysis

 Leen Huang Peking University
5 16:34-16:50 Contributed Talk

Population-Unbiased Calibration for High-Dimensional Logistic Regression with Measurement Error

 Mingrui Zhong Zhejiang University of Finance and Economics
6 16:50-17:06 Contributed Talk

Q-DREAM: Double Robust Estimation and Aggregation for High-Dimensional Quantile Mediation Analysis

 Nayang Shan Capital University of Economics and Business
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