Yixiang Fang (PhD HKU)
Associate Professor
School of Data Science, The Chinese University of Hong Kong, Shenzhen
Email: fangyixiang at cuhk.edu.cn
Office: Room 521a, Dao Yuan Building, CUHK-Shenzhen, 2001 Longxiang Road, Longgang District, Shenzhen, China
***Recruitment of PostDocs, PhD/MPhil students, and research assistants***
Yixiang is looking for highly self-motivated PostDocs, PhD/MPhil students, and research assistants. Please see the [Recruitment Details] and contact him if you are interested.
Yixiang Fang is an Associate Professor in the School of Data Science at the Chinese University of Hong Kong, Shenzhen. Previously, he was a Research Associate in the School of Computer Science and Engineering, the University of New South Wales (UNSW), working with Prof. Xuemin Lin. He received the PhD from Department of Computer Science in the University of Hong Kong (HKU) in 2017, advised by Prof. Reynold Cheng.
Yixiang Fang's general research interests mainly focus on the data management, data mining, and artificial intelligence over big data, particularly big graph data and big spatial data. He has published extensively in the areas of database and data mining, including One of the Best Papers in SIGMOD 2020 (a world flagship conference in database areas), and most of them are published in top-tier conferences (e.g., PVLDB, SIGMOD, ICDE, NeurIPS, WWW, AAAI, and IJCAI) and journals (e.g., TODS, VLDBJ, and TKDE). He was awarded the 2021 ACM SIGMOD Research Highlight Award. He is a member of ACM and CCF. Currently, he 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., PVLDB, ICDE, KDD, AAAI, and IJCAI) and invited reviewers for top journals (e.g., TKDE and VLDBJ) in the areas of database and data mining.
Yixiang Fang's general research interests mainly focus on the data management, data mining, and artificial intelligence over big data, particularly big graph data and big spatial data. Currently, he is working on the following research topics: