I am currently a postdoctoral fellow in the Data and Knowledge Research Group at The University of New South Wales (advised by UNSW Scientia Professor Xuemin Lin). I obtained my Ph.D. from The University of New South Wales in 2021, and received my master and bachelor degrees from Tongji University. My research interests lie in the areas of graph databases and efficient query algorithms.

Publications

1. Xiaoshuang Chen, Long Yuan, Wenjie Zhang, and Ying Zhang. “Reachability on Large-scale Graphs: Models, Techniques, and Trends.” (tutorial) International Conference on Database Systems for Advanced Applications (DASFAA), 2022, to appear.
2. Xiaoshuang Chen, Kai Wang, Xuemin Lin, Wenjie Zhang, Lu Qin, and Ying Zhang. “Efficiently Answering Reachability and Path Queries on Temporal Bipartite Graphs.” International Conference on Very Large Data Bases (VLDB), 2021: 1845-1858.
3. Xiaoshuang Chen, Longbin Lai, Lu Qin, Xuemin Lin, and Boge Liu. “A Framework to Quantify Approximate Simulation on Graph Data.” IEEE International Conference on Data Engineering (ICDE), 2021: 1308-1319.
4. Xiaoshuang Chen, Longbin Lai, Lu Qin, and Xuemin Lin. “Efficient structural node similarity computation on billion-scale graphs.” The VLDB Journal (VLDBJ), 2021: 1-23.
5. Xiaoshuang Chen, Longbin Lai, Lu Qin, and Xuemin Lin. “Structsim: Querying structural node similarity at billion scale.” IEEE International Conference on Data Engineering (ICDE) pp. 1950-1953.
6. Qi Kang, XiaoShuang Chen, SiSi Li, and MengChu Zhou. “A noise-filtered under-sampling scheme for imbalanced classification.” IEEE Transactions on Cybernetics 47, no. 12 (2016): 4263-4274.
7. Xiaoshuang Chen. “Simulation-based Approximate Graph Pattern Matching.” In ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 2825-2827. 2020.
8. Xiaoshuang Chen, Qi Kang, MengChu Zhou, and Zhi Wei. “A novel under-sampling algorithm based on iterative-partitioning filters for imbalanced classification.” In 2016 IEEE International Conference on Automation Science and Engineering (CASE), pp. 490-494. IEEE, 2016.

Academic Services

• Organization Committee:
  • Local Organization Chair of WISE 2021
• Program Committee:
  • AAAI 2022
  • ICDE 2022 (TKDE poster track)
  • WISE 2022, 2021
  • CIKM 2021 (short paper)
• Invited Journal Reviewer:
  • VLDBJ
  • TKDE
  • TKDD
  • WWWJ
• (External) Conference/Journal Reviewer: KDD, VLDB, ICDE, DASFAA, CIKM, SpatialDI, etc.

Talks

• Unveiling Critical Node-to-Node Relationships for Complex Network Analysis. Wangxuan Forum, Peking University, 2021.

Teaching

• Guest Lecturer for Data Analytics for Graphs (COMP9312)
  • 2021 T2
• Tutor for Database Systems (COMP9311)
  • 2021 T1, 2020 T3, 2020 T1, 2019 T3, 2019 T1, 2018 S2, 2018 S1
• Tutor for Data Science and Decisions (DATA1001)
  • 2020 T2, 2019 T2, 2018 S1

Honors and Awards

• HDR Foundation Fellowship, University of New South Wales, 2021
• VLDB Endowment grants, 2021
• Excellent Graduate of Shanghai, Tongji University, 2014
• Excellent Student of Tongji University, Tongji University, 2014