NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 08:30-08:55 | 08:30-08:55 | Invited Talk |
PEARL: Performance-enhanced Aggregated Representation Learning |
Wenhui Li | Academy of Mathematics and Systems Science |
2 | 08:55-09:20 | 08:55-09:20 | Invited Talk |
Optimal Multi-Machine Learning Assisted Semi-Supervised Inference |
Baihua He | The University of Science and Technology of China |
3 | 09:20-09:45 | 09:20-09:45 | Invited Talk |
Handling model uncertainty in the EM algorithm by model averaging |
Guangyuan Cui | City University of Hong Kong |
4 | 09:45-10:10 | 09:45-10:10 | Invited Talk | Shijin Gong | University of Science and Technology of China |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 10:30-10:55 | 10:30-10:55 | Invited Talk |
Modeling Emotional Expressions for Multiple Cancers via a Linguistic Analysis of an Online Health Community |
Shuangge Ma | Yale University |
2 | 10:55-11:20 | 10:55-11:20 | Invited Talk |
Stage-Aware Learning for Dynamic Treatments |
Annie Qu | University of California Santa Barbara |
3 | 11:20-11:45 | 11:20-11:45 | Invited Talk |
Multi-Objective Optimization for Causal Learning of Tolerant Dynamic Treatment Decision Rules |
Lu Wang | University of Michigan |
4 | 11:45-12:10 | 11:45-12:10 | Invited Talk |
Robust transfer learning for individualized treatment rules in the presence of missing data |
Lu Tang | University of Pittsburgh |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 13:30-13:55 | 13:30-13:55 | Invited Talk |
Adaptive Testing and Estimation for High-Dimensional Covariance Change-Points |
Xiaoyi Wang | Beijing Normal University at Zhuhai |
2 | 13:55-14:20 | 13:55-14:20 | Invited Talk |
TARGET INFERENCE FOR HIGH-DIMENSIONAL QUANTILE REGRESSION |
Jiancheng Jiang | Department of Mathematics and Statistics & School of Data Science, University of North Carolina at Charlotte |
3 | 14:20-14:45 | 14:20-14:45 | Invited Talk |
False Discovery Rate Control Via Bi-Gaussian Mirrors |
Binyan Jiang | The Hong Kong Polytechnic University |
4 | 14:45-15:10 | 14:45-15:10 | Invited Talk |
Functional data analysis via neural networks |
Jun Fan | Hong Kong Baptist University |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 15:30-15:55 | 15:30-15:55 | Invited Talk |
High-Dimensional Bias Propagation in Multi-Temporal Covariance Dynamics: A Random Matrix Theory Approach |
Zhenggang Wang | Southeast University |
2 | 15:55-16:20 | 15:55-16:20 | Invited Talk |
Network Goodness-of-Fit for the block-model family |
Jingming Wang | University of Virginia |
3 | 16:20-16:45 | 16:20-16:45 | Invited Talk |
Ensuring Fairness in Machine Learning Through Data Selection Strategies |
Yixuan Zhang | Southeast University |