张绍群

Shao-Qun Zhang

智能科学与技术学院

助理教授、硕士生导师

个人简介

张绍群,南京大学智能科学与技术学院助理教授,主要研究方向为神经计算、深度学习理论与算法、时间序列分析等,参与多项国自然项目、国家重点基础研发计划课题和海外合作项目,以第一作者身份发表多篇高质量文章,并受邀在天元数学中心、MBZUAI等知名单位作报告。张绍群博士现任江苏省计算机学会和江苏省信息技术应用学会人工智能专委会委员、CCF-YOCSEF委员,曾多次担任国际顶级会议(高级)程序委员会委员,国际顶级期刊(Nature、AIJ、JMLR等)审稿人,第二十届中国机器学习及其应用研讨会组织委员会成员。

个人主页:www.lamda.nju.edu.cn/zhangsq

 联系方式:zhangsq@lamda.nju.edu.cn

主要研究方向为:神经计算、深度学习理论与算法、时间序列分析


英文简介

Shao-Qun Zhang holds the position of assistant professor in School of Intelligence Science and Technology at Nanjing University (Suzhou Campus). Additionally, he is an esteemed member of the LAMDA Group. Prior to this, he obtained his Ph.D. degree from Department of Computer Science and Technology at Nanjing University, under the supervision of Prof. Zhi-Hua Zhou in LAMDA Group.

His main research interests include neural computation, deep learning theory and algorithms, and time series analysis. He has been involved in multiple projects supported by the National Natural Science Foundation of China, the National Key Basic Research and Development Program, and international collaborative projects. As the first author, he has published several high-quality articles and has been invited to give presentations at renowned institutions such as the Tianyuan Mathematical Center and MBZUAI.

Dr. Shao-Qun Zhang presently holds memberships in several esteemed organizations. He serves as a member of the Artificial Intelligence Committee of the Jiangsu Computer Society, the Jiangsu Information Technology Application Society, and CCF-YOCSEF. Over the years, he has served as a (senior) committee member for international top-tier conference programs, a reviewer for prestigious international journals such as Nature, AIJ, and JMLR, and a member of the organizing committee for the 20th Chinese Conference on Machine Learning and its Applications (MLA’2022).