Organizers
Jianfeng Yao (姚建峰), The Chinese University of Hong Kong, Shenzhen ✉
Fan Yang (杨帆), Tsinghua University ✉
Zhenyu Liao (廖振宇), Huazhong University of Science and Technology ✉
Jiang Hu (胡江), Northeast Normal University ✉
Dandan Jiang (姜丹丹), Xi'an Jiaotong University ✉
Shurong Zheng (郑术蓉), Northeast Normal University ✉
Abstract
The conference will focus on the theme “Random Matrix Theory and Applications.” It aims to invite internationally recognized scholars as well as several promising young researchers from both China and abroad who are active in random matrix theory and applications to deliver academic talks. These presentations will provide a systematic overview of the latest research developments in the field and explore its potential applications across various interdisciplinary areas. In recent years, random matrix theory has played an increasingly important role in probability theory, mathematical physics, high-dimensional statistics, data science, and AI, and has become an important research direction bridging fundamental mathematics and modern data science.
The workshop aims to establish an open and dynamic platform for academic exchange, covering topics including, but not limited to, random matrix theory, random graphs and random networks, high-dimensional statistics, machine learning, and AI. Through invited lectures, thematic discussions, and informal interactions, participants will engage in in-depth discussions on frontier problems in the field, share recent research advances, and jointly explore promising directions for future research.
本次会议以“随机矩阵理论与应用”为主题，拟邀请国内外在随机矩阵理论及其相关应用领域具有重要影响力的知名学者以及多位青年学者作学术报告，系统介绍该领域的最新研究进展，并探讨其在多个交叉学科中的应用前景。随机矩阵理论近年来在概率论、数学物理、高维统计、数据科学以及人工智能等领域发挥着越来越重要的作用，已成为连接基础数学与现代数据科学的重要研究方向。
本次研讨会旨在搭建一个开放而富有活力的学术交流平台，涵盖但不限于随机矩阵理论、随机图与随机网络、高维统计、机器学习与人工智能等相关研究方向。通过邀请报告、专题讨论及自由交流等多种形式，与会学者将围绕该领域的前沿问题展开深入讨论，分享最新研究成果，并共同探索未来可能的重要研究方向。
