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2026-07-11 (Saturday)

Hongfeng Meeting Room (UTC+8)

13:30-15:10 (UTC+8) | Statistical Innovation for Trustworthy AI

Organizer：

Linglong Kong University of Alberta

Chair：

Jinhan Xie Yunnan University

NO.	Beijing Time (UTC+8)	Type	Presentation Topic	Speaker	Affiliation / Organization
1	13:30-13:55	Invited Talk	A Successive Classification Learning for Estimating Quantile Optimal Treatment Regimes	Dehan Kong	University of Toronto
2	13:55-14:20	Invited Talk	TModel-Free Checking Meets Cross-Domain Data: A Transfer Learning Approach	Wangli Xu	Renmin University of China
3	14:20-14:45	Invited Talk	AI Safe: Statistical Methods for Security Protection from Small to Large Models	Xiaodong Yan	Xi'an Jiaotong University
4	14:45-15:10	Invited Talk	Location-Scale Quantile Regression with Functional Responses	Lingzhu Li	Beijing University of Technology

15:30-17:10 (UTC+8) | Statistical Perspectives on Causal Inference and Modern Machine Learning

Organizing Society：

Bernoulli Society for Mathematical Statistics and Probability

Organizer：

Xingqiu Zhao The Hong Kong Polytechnic University

Chair：

Xingqiu Zhao The Hong Kong Polytechnic University

NO.	Beijing Time (UTC+8)	Type	Presentation Topic	Speaker	Affiliation / Organization
1	15:30-15:55	Invited Talk	Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis	Linglong Kong	University of Alberta
2	15:55-16:20	Invited Talk	Generalized Difference-in-Differences with Binary Outcomes	Zhonghua Liu	Columbia University
3	16:20-16:45	Invited Talk	Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables	Yifan Cui	Zhejiang University
4	16:45-17:10	Invited Talk	A General Framework for Fair and Robust Regression	Wen Su	City University of Hong Kong