***Dr. Fang is recruiting multiple PostDocs, PhD students, and Research Assistants***

Dr. Yixiang Fang is an Associate Professor at the School of Data Science in the Chinese University of Hong Kong, Shenzhen. He received his Bachelor Degree from Harbin Engineering University in 2010, Master Degree from Harbin Institute of Technology in 2013, and Ph.D. Degree from the University of Hong Kong in 2017. After receiving the Ph.D. Degree, he worked as a research fellow in the University of Hong Kong during 2017-2018 and University of New South Wales, Australia during 2018-2020. He once was a visiting scholar in Nanyang Technological University in 2016.

Dr. Fang’s general research interests mainly focus on the areas of data management, data mining, and artificial intelligence over big data, such as data management, data mining, graph neural network, representation learning over big graph data, and keyword search, geo-social network mining, and trajectory query over big spatial data. He has published 60 papers in the areas of database, data mining, and artificial intelligence, including One of the Best Papers in SIGMOD 2020 (a world flagship conference in database areas), and most of them were published in top-tier conferences (e.g., PVLDB, SIGMOD, ICDE, NeurIPS, and IJCAI) and journals (e.g., TODS, VLDBJ and TKDE). Dr. Fang is an editorial board member of the journal of Information & Processing Management (IPM). He has also served as program committee members for several top conferences (e.g., ICDE, KDD, AAAI, and IJCAI) and invited reviewers for top journals (e.g., TKDE and VLDBJ) in the areas of database and data mining.