Your location：Home page > Program

Print Program-at-a-Glance List of Speakers/Chairs

2026-07-11 (Saturday)

Meeting Room, 1st Floor, Qunsheng Garden Hotel (UTC+8)

13:30-15:10 (UTC+8) | Uncertainty Quantification and Robust Learning: From Conformal Prediction to Generative Models

Chair：

Sheng Jiang The Chinese University of Hong Kong, Shenzhen

NO.	Beijing Time (UTC+8)	Type	Presentation Topic	Speaker	Affiliation / Organization
1	13:30-13:46	Contributed Talk	Locally-Calibrated Split Conformal Prediction	Kehan Wang	Renmin University of China
2	13:46-14:02	Contributed Talk	Distributed Tensor Principal Component Analysis with Data Heterogeneity	Wenbo Jing	City University of Hong Kong
3	14:02-14:18	Contributed Talk	统计数据增强及其在遥感图像智能解译中的应用	Chen Zheng	Henan University
4	14:18-14:34	Contributed Talk	Variational Masking Generative Model for Anomaly Detection on Incomplete Tabular Data	Yannan Pu	Xi’an Jiaotong University
5	14:34-14:50	Contributed Talk	Conformal Robustness Control: A New Strategy for Robust Decision	Yang Hu	Shanghai Jiao Tong University
6	14:50-15:06	Contributed Talk	Errors-in-Variables Gaussian Processes for Mixed-Input Regression	Sheng Jiang	The Chinese University of Hong Kong, Shenzhen

15:30-17:10 (UTC+8) | Privacy-Preserving and Communication-Efficient Distributed Learning

Chair：

Jeffrey Chu Renmin University of China

NO.	Beijing Time (UTC+8)	Type	Presentation Topic	Speaker	Affiliation / Organization
1	15:30-15:46	Contributed Talk	基于机器学习与联邦学习的2型糖尿病患病风险预测模型构建研究	Xiaoqin Zhang	Shanxi University of Finance and Economics
2	15:46-16:02	Contributed Talk	FedFask: Fast Sketching Distributed PCA for Large-Scale Federated Data	Xingcai Zhou	Nanjing Audit University
3	16:02-16:18	Contributed Talk	Communication-Efficient Estimation for Non-Randomly Distributed and Missing Data	Xirui Liu	Guizhou Normal University
4	16:18-16:34	Contributed Talk	Deconfounding via Profiled Transfer Learning	Ziyuan Chen	Peking University
5	16:34-16:50	Contributed Talk	Compression-then-Aggregation of Local Risks for One-shot Federated Learning	Qiong Wu	University of Pittsburgh
6	16:50-17:06	Contributed Talk	Extreme Value-Informed Multi-Modal Transfer Learning for Blockchain Fraud Detection	Jeffrey Chu	Renmin University of China