About
I am currently a Research Fellow in the School of Computing (SoC) at the National University of Singapore (NUS), advised by Prof. Xiaokui Xiao. I obtained my Ph.D. degree at The Chinese University of Hong Kong in 2023, under the supervision of Prof. Sibo Wang. Previously, I received my B. Eng. from Sun Yat-sen University in 2019.
My research interests include AI for databases, approximate algorithms with theoretical guarantees, and representation learning.
Publications
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Generalized Entity Matching with Adaptivity via Large Language Models
Xingguang Chen, Yimin Shi, Xiaokui Xiao
Proceedings of the ACM on Management of Data, to appear (SIGMOD 2026) -
Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee
Chen Feng, Xingguang Chen, Qintian Guo, Fangyuan Zhang, Sibo Wang
Proceedings of the ACM on Management of Data, 2(4), 197:1-197:26, 2024 (SIGMOD 2025) -
Lero: Applying Learning-to-Rank in Query Optimizer
Xingguang Chen, Rong Zhu, Bolin Ding, Sibo Wang, Jingren Zhou
International Journal on Very Large Data Bases (VLDBJ), 33(5): 1307-1331, 2024 -
Efficient Approximation Framework for Attribute Recommendation
Xingguang Chen, Fangyuan Zhang, Jinchao Huang, Sibo Wang
Proceedings of the ACM on Management of Data, 1(4), 239:1-239:26, 2023 (SIGMOD 2024) -
Lero: A Learning-to-Rank Query Optimizer
Rong Zhu, Wei Chen, Bolin Ding, Xingguang Chen, Andreas Pfadler, Ziniu Wu, Jingren Zhou
Proceedings of the VLDB Endowment (PVLDB), 16(6): 1466-1479, 2023 (VLDB 2023) -
Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling
Xingguang Chen, Fangyuan Zhang, Sibo Wang
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 157-167, 2022 -
Efficient Approximate Algorithms for Empirical Entropy and Mutual Information
Xingguang Chen, Sibo Wang
Proceedings of the ACM on Management of Data (SIGMOD), pages 274-286, 2021 -
Massively Parallel Algorithms for Personalized PageRank
Guanhao Hou, Xingguang Chen, Sibo Wang, Zhewei Wei
Proceedings of the VLDB Endowment (PVLDB), 14(9): 1668-1680, 2021 (VLDB 2021)
Awards
- Fully-funded PhD Student Scholarship, The Chinese University of Hong Kong, 2019 – 2023
- Excellent Graduate Award (Top 5%), Sun Yat-sen University, 2019
- First-Class Scholarship for Outstanding Merits (Top 5%), Sun Yat-sen University, 2016 – 2018
- National Scholarship (Top 1%), Ministry of Education of the People's Republic of China, 2017
Experience
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Research Fellow, School of Computing, National University of Singapore
Jan. 2024 – Present (Advisor: Prof. Xiaokui Xiao)
Conducted research on AI for databases and approximate algorithms. -
Research Intern, Data Analytics and Intelligence Lab (DAIL), Damo Academy, Alibaba Group
May 2022 – Sep. 2022 (Advisor: Dr. Rong Zhu)
Worked on learning-based query optimization and large-scale ranking systems. -
Teaching Assistant, The Chinese University of Hong Kong
CSCI2100 Data Structures, Spring 2020 – 2023
FTEC4003 Data Mining for FinTech, Fall 2022, 2020, 2019
FTEC4005 Financial Informatics, Fall 2021
Professional Service
- Program committee member: VLDB (2026), TKDE (2025, 2024), CIKM (2024, 2023)
- External reviewer: DASFAA (2023), WWW (2023), CIKM (2022), ICDE (2022), TKDD (2022), TKDE (2022, 2021), KDD (2021), PAKDD (2021)