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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 10:30-10:55 贡献报告

AAIN: Adjacency-based Autoencoder for Identifying Influential Nodes

周钰凯 西北工业大学
Contributed Talk

AAIN: Adjacency-based Autoencoder for Identifying Influential Nodes

Yukai Zhou northwestern polytechnical university
2 10:55-11:20 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 11:20-11:45 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 11:45-12:10 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

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 Technology and Business 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

Semi-supervised learning for linear extremile regression

姜 荣 上海对外经贸大学
Contributed Talk

线性极值分位数回归的半监督学习

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

Signal-Adaptive Joint Graphical Model Learning via Dynamic Regularization

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