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

至诚室 Zhicheng Room

08:30-10:10 | CS025: Modern Statistical Learning for High-Dimensional and Structured Data CS025: Modern Statistical Learning for High-Dimensional and Structured Data

编号	时间	类型	题目	讲者	单位
1	08:30-08:50	贡献报告	Multi-source Targeted Learning by High-dimensional Empirical Likelihood	詹皓翔	北京大学
		Contributed Talk	Multi-source Targeted Learning by High-dimensional Empirical Likelihood	Haoxiang Zhan	Peking University
2	08:50-09:10	贡献报告	Truncated fusion learning on supervised clustering and its fast stagewise algorithm	李乐天	中国科学技术大学
		Contributed Talk	Truncated fusion learning on supervised clustering and its fast stagewise algorithm	Letian Li	ustc
3	09:10-09:30	贡献报告	Feature Selection for P300 Detection Improvement	田　兵	厦门大学
		Contributed Talk	Feature Selection for P300 Detection Improvement	Bing Tian	Xiamen University
4	09:30-09:50	贡献报告	Pursuing homogeneity and sparsity in simultaneous quantile regression	曾　珍	南京财经大学
		Contributed Talk	Pursuing homogeneity and sparsity in simultaneous quantile regression	Zhen Zeng	Nanjing University of Finance and Economics
5	09:50-10:10	贡献报告	On non-redundant and linear operator-based nonlinear dimension reduction	叶舟夫	浙江大学
		Contributed Talk	On non-redundant and linear operator-based nonlinear dimension reduction	Zhoufu Ye	Zhejiang University

10:30-12:10 | CS031: Advances in Graph-Based Learning and Network Analysis CS031: Advances in Graph-Based Learning and Network Analysis

编号	时间	类型	题目	讲者	单位
1	10:30-10:50	贡献报告	Identification of influential nodes in complex networks based on graph autoencoder	周钰凯	西北工业大学
		Contributed Talk	Identification of influential nodes in complex networks based on graph autoencoder	Yukai Zhou	northwestern polytechnical university
2	10:50-11:10	贡献报告	A Wasserstein distance-based spectral clustering method for transaction data analysis	朱映秋	对外经济贸易大学
		Contributed Talk	A Wasserstein distance-based spectral clustering method for transaction data analysis	Yingqiu Zhu	University of International Business and Economics
3	11:10-11:30	贡献报告	Network Perturbation Aggregation in Graphon Estimation	Huimin Cheng	Boston University
		Contributed Talk	Network Perturbation Aggregation in Graphon Estimation	Huimin Cheng	Boston University
4	11:30-11:50	贡献报告	HALO: Hardness-Aware Bilevel-Inspired Contrastive Graph Clustering	朱雨晨	西北工业大学
		Contributed Talk	HALO: Hardness-Aware Bilevel-Inspired Contrastive Graph Clustering	Yuchen Zhu	Northwestern Polytechnical University
5	11:50-12:10	贡献报告	基于知识增强和图注意力网络的方面级情感分析	凤丽洲	天津财经大学
		Contributed Talk	基于知识增强和图注意力网络的方面级情感分析	Lizhou Feng	Tianjin university of finance and economics

13:30-15:10 | CS038: Recent Advances in High-Dimensional Robust Regression CS038: Recent Advances in High-Dimensional Robust Regression

编号	时间	类型	题目	讲者	单位
1	13:30-13:50	贡献报告	Efficient distributed estimation for expectile regression in increasing dimensions	李晓妍	重庆工商大学
		Contributed Talk	Efficient distributed estimation for expectile regression in increasing dimensions	Xiaoyan Li	Chongqing University
2	13:50-14:10	贡献报告	Estimation and inference in quantile regression for high-dimensional partially linear models	李望成	北京师范大学
		Contributed Talk	Estimation and inference in quantile regression for high-dimensional partially linear models	Wangcheng Li	Beijing Normal University
3	14:10-14:30	贡献报告	Communication-Efficient and Distributed-Oracle Estimation for High-Dimensional Quantile Regression	顾逸凡	中国人民大学
		Contributed Talk	Communication-Efficient and Distributed-Oracle Estimation for High-Dimensional Quantile Regression	Yifan Gu	Renmin University of China
4	14:30-14:50	贡献报告	线性极值分位数回归的半监督学习	姜　荣	上海对外经贸大学
		Contributed Talk		Rong Jiang	Shanghai University of International Business and Economics
5	14:50-15:10	贡献报告	Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	钟　琰	华东师范大学
		Contributed Talk	Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation	Yan Zhong	East China Normal University

15:30-17:10 | CS046: Advances in High-Dimensional Statistical Learning and Inference CS046: Advances in High-Dimensional Statistical Learning and Inference

编号	时间	类型	题目	讲者	单位
1	15:30-15:50	贡献报告	Signal-Adaptive Joint Graphical Model Learning via Dynamic Regularization	刘世祥	中国人民大学
		Contributed Talk	A tuning-free and scalable method for joint graphical model estimation with sharper bounds	Shixiang Liu	Renmin University of China
2	15:50-16:10	贡献报告	Iterative Sure Screening Rules with Application to Accelerated Optimization of Regularized Regression	张　宁	上海对外经贸大学
		Contributed Talk	Iterative Sure Screening Rules with Application to Accelerated Optimization of Regularized Regression	Ning Zhang	Shanghai University of International Business and Economics
3	16:10-16:30	贡献报告	Distributed Reconstruction from Compressive Measurements: Nonconvexity and Heterogeneity	李尔博	中国人民大学
		Contributed Talk	Distributed Reconstruction from Compressive Measurements: Nonconvexity and Heterogeneity	Erbo Li	Renmin University of China
4	16:30-16:50	贡献报告	Causal Structure Learning of High-Dimensional Directed Acyclic Graphs with False Discovery Rate Control	康雪倩	厦门大学
		Contributed Talk	Causal Structure Learning of High-Dimensional Directed Acyclic Graphs with False Discovery Rate Control	Xueqian Kang	Xiamen University
5	16:50-17:10	贡献报告	Versatile Differentially Private Learning for General Loss Functions	陆启隆	北京大学
		Contributed Talk	Versatile Differentially Private Learning for General Loss Functions	Qilong Lu	Peking University

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2025-07-13 星期日

至诚室 Zhicheng Room

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