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2026-05-16 (Saturday)

Meishu Hall (UTC+8) 2026-05-16 Local Time

10:35-11:55 (UTC+8) 10:35-11:55 Local Time | Statistical and Machine Learning Methods for Analyzing Complex Real-world Data
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 10:35-10:55 10:35-10:55 Invited Talk

TBD

Yiqun Chen Johns Hopkins University
2 10:55-11:15 10:55-11:15 Invited Talk

Latent Space Modeling for Human Disease Network with Temporal Variations: Analysis of Medicare Data

Hao Mei Renmin University of China
3 11:15-11:35 11:15-11:35 Invited Talk

Causal effect heterogeneity estimation using summary statistics

Xingjie Shi East China Normal University
4 11:35-11:55 11:35-11:55 Invited Talk

Statistical Inference for Random Objects

Hang Zhou UNC Chape Hill
14:00-15:20 (UTC+8) 14:00-15:20 Local Time | Recent Advances in Estimation and Inference for Structured and Heterogeneous Data
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 14:00-14:25 14:00-14:25 Invited Talk

High-dimensional Inference for Extreme Value Indices

Liujun Chen University of Science and Technology of China
2 14:25-14:50 14:25-14:50 Invited Talk

Asymptotic Theory and Penalized Estimation for Signal-plus-Noise Matrices with Heteroskedastic Noise and Weak Signals

Zhixiang Zhang University of Macau
3 14:50-15:15 14:50-15:15 Invited Talk

Probabilistic PCA on tensors

Yaoming Zhen The Chinese University of Hong Kong,Shenzhen
15:50-17:10 (UTC+8) 15:50-17:10 Local Time | Regression and Time-series in High-dimensional Setting
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 15:50-16:10 15:50-16:10 Invited Talk

Wasserstein Generative Regression

Shanshan Song Tongji University
2 16:10-16:30 16:10-16:30 Invited Talk

A robust and scalable framework for high-dimensional volatility estimation

Qianqian Zhu Shanghai University of Finance and Economics
3 16:30-16:50 16:30-16:50 Invited Talk

High-dimensional autoregressive time series modeling for symmetric matrices

Huiling Yuan East China Normal University
4 16:50-17:10 16:50-17:10 Invited Talk

High-dimensional Autoregressive Modeling for Time Series Data with Hierarchical Structures

Lan Li The University of Hong Kong