第三届全国统计与数据科学联合会议

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2025-07-13 星期日

紫光厅C Ziguang Hall C

08:30-10:10 | IS033: Recent Developments of Bayesian Methods for Modern Biomedical Data Analysis IS033: Recent Developments of Bayesian Methods for Modern Biomedical Data Analysis

组织者：

Guanyu Hu University of Texas Health Science Center at Houston 丨 Meng Li Rice University

Organizer：

Guanyu Hu University of Texas Health Science Center at Houston 丨 Meng Li

主持人：

Guanyu Hu University of Texas Health Science Center at Houston

Chair：

Guanyu Hu University of Texas Health Science Center at Houston

编号	时间	类型	题目	讲者	单位
1	08:30-08:55	邀请报告	A Reinforcement Learning Framework for Learning Optimal Oxygen Treatments in Patients with Acute Respiratory Distress Syndrome	许燕勋	The Johns Hopkins University
		Invited Talk	A Reinforcement Learning Framework for Learning Optimal Oxygen Treatments in Patients with Acute Respiratory Distress Syndrome	Yanxun Xu	The Johns Hopkins University
2	08:55-09:20	邀请报告	Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes	Cheng Li	新加坡国立大学
		Invited Talk	Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes	Cheng Li	新加坡国立大学
3	09:20-09:45	邀请报告	BACT: nonparametric Bayesian cell typing for single-cell spatial transcriptomics data	罗翔宇	中国人民大学
		Invited Talk	BACT: nonparametric Bayesian cell typing for single-cell spatial transcriptomics data	Xiangyu Luo	Renmin University of China
4	09:45-10:10	邀请报告	Variational bagging: a robust approach for Bayesian uncertainty quantification	Lizhen Li	The university of Maryland
		Invited Talk	Variational bagging: a robust approach for Bayesian uncertainty quantification	Lizhen Li	The university of Maryland

10:30-12:10 | IS034: Advanced Computational Methods for Omics Data Analysis and Disease Understanding IS034: Advanced Computational Methods for Omics Data Analysis and Disease Understanding

组织者：

胡平昭 Western University

Organizer：

Pingzhao Hu Western University

主持人：

胡平昭 Western University

Chair：

Pingzhao Hu Western University

编号	时间	类型	题目	讲者	单位
1	10:30-10:50	邀请报告	Dependency-aware deep generative models for multitasking analysis of spatial omics data	Zhi Wei	New Jersey Institute of Technology
		Invited Talk	Dependency-aware deep generative models for multitasking analysis of spatial omics data	Zhi Wei	New Jersey Institute of Technology
2	10:50-11:10	邀请报告	Error-controlled hypothesis generation in generic machine learning models	Yang Lu	University of Waterloo
		Invited Talk	Error-controlled interaction discovery in generic machine learning models	Yang Lu	University of Waterloo
3	11:10-11:30	邀请报告	Sparse Learning for Assessing the Association Between Gut Microbiome and Parkinson’s Disease	Longhai Li	University of Saskatchewan
		Invited Talk	Sparse Learning for Assessing the Association Between Gut Microbiome and Parkinson’s Disease	Longhai Li	University of Saskatchewan
4	11:30-11:50	邀请报告	A new phylogeny-aware microbiome data generator	Juxin Liu	University of Saskatchewan
		Invited Talk	A new phylogeny-aware microbiome data generator	Juxin Liu	University of Saskatchewan
5	11:50-12:10	邀请报告	Representation Learning for Drug-Target Interaction Prediction	胡平昭	Western University
		Invited Talk	Representation Learning for Drug-Target Interaction Prediction	Pingzhao Hu	Western University

13:30-15:10 | IS035: New developments of statistical learning for the analysis of complex biomedical data IS035: New developments of statistical learning for the analysis of complex biomedical data

组织者：

Peter Song University of Michigan

Organizer：

Peter Song University of Michigan

主持人：

Lu Wang University of Michigan

Chair：

Lu Wang University of Michigan

编号	时间	类型	题目	讲者	单位
1	13:30-13:55	邀请报告	OPERA: An Interpretable Algorithm for Patient Stratification based on Partially Ordered Risk Factors	Menggang Yu	University of Michigan
		Invited Talk	OPERA: An Interpretable Algorithm for Patient Stratification based on Partially Ordered Risk Factors	Menggang Yu	University of Michigan
2	13:55-14:20	邀请报告	BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models	Kai Zhang	UNC Chapel Hill
		Invited Talk	BELIEF in Dependence: Leveraging Atomic Linearity in Data Bits for Rethinking Generalized Linear Models	Kai Zhang	UNC Chapel Hill
3	14:20-14:45	邀请报告	Scalable Manifold Learning for Complex Imaging Data Analysis	Jian Kang	University of Michigan
		Invited Talk	Scalable Manifold Learning for Complex Imaging Data Analysis	Jian Kang	University of Michigan
4	14:45-15:10	邀请报告	A foundation model for generalizable cancer diagnosis and survival prediction from histopathological images	俞章盛	上海交通大学
		Invited Talk	Deep survival prediction models based on medical images and spatial transcriptomic data	Zhangsheng Yu	Shanghai Jiao Tong University

15:30-17:10 | IS036: Best practice of the Hawkes process and its variants IS036: Best practice of the Hawkes process and its variants

组织者：

Jiancang Zhuang The Institute of Statistical Mathematics, Japan

Organizer：

Jiancang Zhuang The Institute of Statistical Mathematics, Japan

主持人：

Jiancang Zhuang The Institute of Statistical Mathematics, Japan

Chair：

Jiancang Zhuang The Institute of Statistical Mathematics, Japan

编号	时间	类型	题目	讲者	单位
1	15:30-15:55	邀请报告	Coarse-grained Hawkes processes	Shinsuke Koyama	Institute of Statistical Mathematics
		Invited Talk	Coarse-grained Hawkes processes	Shinsuke Koyama	Institute of Statistical Mathematics
2	15:55-16:20	邀请报告	Bayesian inference of spatiotemporal Hawkes processes with Gaussian-process Priors	Yuanyuan Niu	The Institute of Statistical Mathematics
		Invited Talk	Bayesian inference of spatiotemporal Hawkes processes with Gaussian-process Priors	Yuanyuan Niu	The Institute of Statistical Mathematics
3	16:20-16:45	邀请报告	Likelihood-Free Estimation of Hawkes Processes from Binned Count Data	Feng Chen	UNSW Sydney
		Invited Talk	Likelihood-Free Estimation of Hawkes Processes from Binned Count Data	Feng Chen	UNSW Sydney
4	16:45-17:10	邀请报告	Latent Network Structure Learning From High-Dimensional Multivariate Point Processes	Biao Cai	City University of Hong Kong
		Invited Talk	Latent Network Structure Learning From High-Dimensional Multivariate Point Processes	Biao Cai	City University of Hong Kong

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2025-07-13 星期日

紫光厅C Ziguang Hall C

第三届全国统计与数据科学联合会议 版权所有

第三届全国统计与数据科学联合会议版权所有