Prof. Xiaojun Chen Invited as Conference Keynote Speaker of MLAI 2022

Prof. Xiaojun Chen, Shenzhen University

陈小军教授，深圳大学

陈小军，深圳大学计算机与软件学院沃顿讲席研究员，大数据技术与应用研究所所长助理，CCF人工智能/自然语言处理/大数据专委会委员，CCF理事，CCF YOCSEF深圳2020-2021主席。于哈尔滨工业大学获得本科、硕士及博士学位。曾先后在香港大学及中科院深圳先进技术研究院工作。从事数据挖掘、机器学习及人工智能技术研究多年，主要研究内容包括无监督学习、分布式机器学习及文本分析技术。在相关的国际学术期刊和会议上发表SCI/EI检索论文70余篇，包括超过30篇计算机学会推荐的A 类论文及中科院1区论文(包括会议KDD/ICCV/AAAI/IJCAI/ICDE/SIGIR/EMNLP及期刊IEEE TKDE/TNNLS/TCYB/TMM/IJCV)30余篇。担任多个国际会议（AAAI/IJCAI/WWW等）及国际期刊（IEEE TNNLS/TKDE/TCYB/ TPAMI等）的审稿人。在无监督学习方面的研究成果先后获得2016年深圳市自然科学技术奖二等奖及2018年广东省自然科学技术奖二等奖。主持或参与多个自然科学基金面上/重点项目，科技部重点研发项目，国家863 项目以及中国科学院战略性先导科技专项等项目。

Xiaojun Chen, Wodun Researcher in Colleague of Computer Science and Software Engineering, Shenzhen University. He received the Ph.D. degree in Computer Science from Harbin Institute of Technique. His research interests are machine learning and its applications, such as pattern recognition, data mining, image processing and information retrieval. He has published more than 70 papers in the following top journals and conferences: IJCV, TIP, TNNLS, TKDE, TCYB, KDD, IJCAI, AAAI, ICCV. He is now serving as PC member for several prestigious journals and conferences in the related fields. He has won the second prize of Guangdong/Shenzhen Natural Science Award.