Yixiang Fang is an associate professor in the School of Data Science, Chinese University of Hong Kong, Shenzhen. He received PhD in computer science from the University of Hong Kong in 2017. After that, he worked as a research associate in the School of Computer Science and Engineering, University of New SouthWales, with Prof. Xuemin Lin. His research interests include querying, mining, and analytics of big graph data and big spatial data. He has published extensively in the areas of database and data mining, and most of his papers were published in toptier conferences (e.g., PVLDB, SIGMOD, ICDE, NeurIPS, and IJCAI) and journals(e.g., TODS, VLDBJ, and TKDE), and one paper was selected as best paper at SIGMOD 2020. He received the 2021 ACM SIGMOD Research Highlight Award. Yixiang is an editorial board member of the journal Information & Processing Management (IPM). He has also served as program committeemember for several top conferences (e.g., ICDE, KDD, AAAI, and IJCAI) and invited reviewer for top journals
