Prof. YU, Xu, Jeffrey 于 旭 教授

Biography

Dr. Jeffrey Xu Yu is a Professor of the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong. His current main research interests include keywords search in relational databases, graph mining, graph query processing, and graph pattern matching. Dr. Yu served/serves in over 300 organization committees and program committees in international conferences/workshops including the PC Co-chair of APWeb’04, WAIM’06, APWeb/WAIM’07, WISE’09, PAKDD’10, DASFAA’11, ICDM’12, NDBC’13, ADMA’14, CIKM’15, Bigcomp’17, DSAA’19 and CIKM’19, and conference general co-chair of APWeb’13 and ICDM’18. Dr. Yu served as an Information Director and a member in ACM SIGMOD executive committee (2007-2011), an associate editor of IEEE Transactions on Knowledge and Data Engineering (2004-2008), an associate editor in VLDB Journal (2007-2013), and the chair of the steering committee in Asia Pacific Web Conference (2013-2016). Currently, he serves as associate editor in ACM Transactions on Database Systems, WWW Journal, the International Journal of Cooperative Information Systems, the Journal of Information Processing, and Journal on Health Information Science and Systems.

Jeffrey Xu Yu is a member of ACM, a senior member of IEEE, and a member of IEEE Computer Society.

Book Publications

Keyword Search in Databases, Jeffrey Xu Yu, Lu Qin, and Lijun Chang, Morgan & Claypool, 2009.

Web Communities: Analysis and Construction, Yanchun Zhang, Jeffrey Xu Yu, and Jingyu Hou, Springer, 2006.

Selected Publications (@DBLP, @ACM, @AMiner,  @Google-Scholar)

Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, and Yu Rong: “A Learned Sketch for Subgraph Counting”, in Proceedings of the 2021 ACM SIGMOD International Conference on Management of Data (SIGMOD’21), 2021.

Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, and Hong Cheng: “Graph Iso/Automorphism: A Divide-&-Conquer Approach”, in Proceedings of the 2021 ACM SIGMOD International Conference on Management of Data (SIGMOD’21), 2021.

Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, Hao Zhang: “SQL-G: Efficient Graph Analytics by SQL”, IEEE Transactions on Knowledge and Data Engineering, Vol. 33, No. 5, 2021.

Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, and Kangfei Zhao: “Distributed Subgraph Counting: A General Approach”, in Proceedings of the VLDB Endowment (PVLDB), Vol. 13, No. 11, 2020.

Yikai Zhang, and Jeffrey Xu Yu: “Unboundedness and Efficiency of Truss Maintenance in Evolving Graphs”, in Proceedings of the 2019 ACM SIGMOD International Conference on Management of Data (SIGMOD’19), 2019.

Zechao Shang, Jeffrey Xu Yu, and Aaron Elmore: “RUSHMON Real-time Isolation Anomalies Monitoring”, in Proceedings of the 2018 ACM SIGMOD International Conference on Management of Data (SIGMOD’18) 2018.

Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, and Zibin Zheng: “Skyline Community Search in Multi-valued Networks”, in Proceedings of the 2018 ACM SIGMOD InternationalConference on Management of Data (SIGMOD’18), 2018.

Kangfei Zhao and Jeffrey Xu Yu: “All-in-One: Graph Processing in RDBMSs Revisited”, in Proceedings of the 2017 ACM SIGMOD International Conference on Management of Data (SIGMOD’17), 2017.

Can Lu, Jeffrey Xu Yu, Hao Wei, and Yikai Zhang: “Finding the maximum clique in massive graphs”, in Proceedings of the VLDB Endowment (PVLDB), Vol 10, No. 11, 2017. Jeffrey Xu Yu is a member of ACM, a senior member of IEEE, and a member of IEEE Computer Society. 26

Hao Wei, Jeffrey Xu Yu, Can Lu, and Xuemin Lin: “Speedup Graph Processing by Graph Ordering”, in Proceedings of the 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD’16), 2016.