I am currently an Assistant Professor with the Department of Computer Science at Hong Kong Baptist University. I earned a Ph.D. in computer science from Nanyang Technological University, followed by a postdoctoral stint at the National University of Singapore. I am a recipient of the 2021 VLDB Best Research Paper Award and the 2022 SIGMOD Research Highlight Award. Broadly speaking, my research focuses on scalable data science, which is to develop efficient algorithms and systems for large-scale data management, analysis, mining, and learning. I am also affiliated with Database Research Group at HKBU.
- Nov 20, 2023: 1 research paper is accepted to SIGMOD 2024
- May 16, 2023: 2 research papers are accepted to KDD 2023
- Feb 23, 2023: 3 research papers are accepted to SIGMOD 2023
- Apr 29, 2022: I received an honorable mention for the outstanding PC members in TheWebConf 2022
- Mar 20, 2022: Our paper “No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server” was selected for the 2022 ACM SIGMOD Research Highlight Award
- Apr 29, 2022: My paper “Efficient and Effective Similarity Search over Bipartite Graphs” was nominated for the best paper award in TheWebConf 2022
- Aug 09, 2021: Our paper titled “Scaling Attributed Network Embedding to Massive Graphs” was selected as the best research paper in VLDB 2021
- Databases and data management: graph query processing, similarity search
- The Web and information retrieval: search and ranking, recommendation, web mining
- Data mining and machine learning: social network analysis, graph representation learning
- Honorable mention as one of the best PC members in WWW 2022
- Best Paper Award Nominee in WWW 2022
- 2022 ACM SIGMOD Research Highlight Award
- Best Research Paper Award in VLDB 2021
- Proceedings co-chair: MDM 2024
- Program committee member for the following conferences/workshops: WWW 2024, ICDE 2024, WSDM 2024, NeurIPS 2023 GLFrontiers workshop, KDD 2023, WWW 2023, WSDM 2023, WWW 2022, KDD 2022, ECML-PKDD 2022.
- Invited reviewer for the following journals: TKDE, VLDBJ.
- Subreviewer or External reviewer for VLDB 2023, CIKM 2022, TheWebConf 2021, ICDM 2021, ICDE 2020, VLDB 2020, KDD 2019, IJCAI 2019, CIKM 2019.
- Efficient Network Embedding for Large-Scale Graph Analysis. The Hong Kong University of Science and Technology, September 26, 2022.
- Efficient Network Embeddings for Big Graph Analytics. Hong Kong Baptist University, August 10, 2022.
- Efficient Relevance Search over Large Graphs. The Hong Kong University of Science and Technology (Guangzhou), May 04, 2022.
- Scaling Attributed Network Embedding to Massive Graphs. Renmin University of China, August 30, 2021.