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2026-07-12 (Sunday)

Yongkang Room (UTC+8)

13:30-15:10 (UTC+8) | Advances in AI-Driven Statistical Learning

Organizer：

Linglong Kong University of Alberta

Chair：

Ziqi Chen East China Normal University

NO.	Beijing Time (UTC+8)	Type	Presentation Topic	Speaker	Affiliation / Organization
1	13:30-13:55	Invited Talk	Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation	Yukun Liu	East China Normal University
2	13:55-14:20	Invited Talk	Bayesian Random Weight Neural Network Inference Engine	Wei Hao	University of Michigan
3	14:20-14:45	Invited Talk	Deformed Q-learning for High-Dimensional Dynamic Treatment Regimes	Christina Dan Wang	New York University Shanghai
4	14:45-15:10	Invited Talk	Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting	Ziqi Chen	East China Normal University

15:30-17:10 (UTC+8) | Recent Advances in Network Analysis and Related Areas

Organizer：

Jingming Wang University of Virginia

Chair：

Jingming Wang University of Virginia

NO.	Beijing Time (UTC+8)	Type	Presentation Topic	Speaker	Affiliation / Organization
1	15:55-16:20	Invited Talk	Directed Hypergraph: Tensor Representation, Embedding Modeling, and Community Detection	Mingyang Ren	Shanghai Jiao Tong University
2	16:20-16:45	Invited Talk	Estimation and Statistical Inference for Generalized Multilayer Latent Space Model	Haoran Zhang	Southern University of Science and Technology
3	16:45-17:10	Invited Talk	A Manifold Learning Method for Noisy Independent Component Analysis	Chunming Zhang	University of Wisconsin-Madison
4	17:10-17:35	Invited Talk	自适应迁移聚类：一个统一框架 (Adaptive Transfer Clustering: A Unified Framework)	Zhongyuan Lv	University of Sydney