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  • 2026-07-11 [Saturday]
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2026-07-12 (Sunday)

Doupeng Mountains Meeting Room (UTC+8)

13:30-15:10 (UTC+8) | Advances in Bayesian Methods and State-Space Models
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 13:30-13:46 Contributed Talk

A General Weighted Block Ensemble Kalman Filter with Data-Driven Optimal Block-Width Selection

Lei Qian Peking University
2 13:46-14:02 Contributed Talk

Data Integration of Non-Probability and Probability Samples Using Deep Generative Model

Tongxin Wang Shanxi University of Finance and Economics
3 14:02-14:18 Contributed Talk

Predicting Average Daily Liveweight Gain in Grazing Cattle from Accelerometer-Derived Behaviour and Activity

Shuwen Hu Royal Melbourne Institute of Technology,RMIT
4 14:18-14:34 Contributed Talk

Equilibrium Joining Strategies in a Two-Stage Service System with Priority Customers and Feedback

Jia Xu Chaohu University
5 14:34-14:50 Contributed Talk

Modified Cholesky Decomposition-Based Localization in Ensemble Kalman Filter

HaoXuan Sun Harbin Institute of Technology
6 14:50-15:06 Contributed Talk

Bayesian Inference for Independent Cluster Point Processes

Changqing Lu Central South University
15:30-17:10 (UTC+8) | High-Dimensional Inference and Learning under Complex Data Settings
NO. Beijing Time (UTC+8) Type Presentation Topic Speaker Affiliation / Organization
1 15:30-15:55 Invited Talk

Cross-Semantic Transfer Learning for High-Dimensional Linear Regression

Xuejun Jiang Southern University of Science and Technology
2 15:55-16:20 Invited Talk

Testing High-Dimensional Parameters in Quantile Regression with High-Dimensional Control Factor

Xu Liu Shanghai University of Finance and Economics
3 16:20-16:45 Invited Talk

Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift

Fang Kong Southern University of Science and Technology
4 16:45-17:10 Invited Talk

Fine-Tuning LLM Agents without Fine-Tuning LLMs

Linyi Yang Southern University of Science and Technology