Personal profile
Chinese Name
Biography
Dr. Yang received his BEng degree in software engineering from Beijing University of Posts and Telecommunications and his PhD degree in computer science from Nanyang Technological University. Prior to joining HKBU, he was a postdoctoral research fellow at the National University of Singapore. His research focuses on developing efficient algorithms and systems for large-scale data management and analysis. His research works have been published in top-tier data management and data mining conferences/journals including SIGMOD, VLDB, TODS, KDD, WWW, etc. He received the VLDB 2021 Best Research Paper Award, the 2022 ACM SIGMOD Research Highlight Award, and the Best Paper Award Nominee in WWW 2022.
Research Interests
- 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
Education/Academic qualification
PhD, Computer Science, Nanyang Technological University
23 Jul 2016 → 31 Jan 2021
Award Date: 31 Jan 2021
Bachelor, Software Engineering, Beijing University of Posts and Telecommunications
15 Aug 2011 → 15 Jun 2015
Award Date: 15 Jun 2015
Keywords
- QA75 Electronic computers. Computer science
- QA76 Computer software
Fingerprint
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Collaborations and top research areas from the last five years
Projects
- 4 Active
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Anomaly Detection for Large-Scale Text-Attributed Graphs and Its Applications
YANG, R. (PI) & Wang, Q. (PI)
1/05/25 → 30/04/28
Project: Research project
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Federated Graph Management and Querying: Subgraphs, Keywords, and Privacy
HUANG, X. (PI), HU, H. (CoPI), LIU, J. (CoPI), WANG, Q. (CoPI), XU, J. (CoPI), YANG, R. (CoPI) & Ye, Q. (CoPI)
30/06/24 → 29/06/27
Project: Research project
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Realtime Relevance Search over Massive Attributed Graphs
YANG, R. (PI)
1/01/24 → 31/12/26
Project: Research project
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Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution
Wang, H., Yang, R., Zheng, H. & Ke, X., Aug 2026, Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2026. Association for Computing Machinery (ACM), Vol. 2. 11 p.Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open AccessFile -
Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
Jiang, R., Yang, R. & Wu, D., 20 Jul 2026, SIGIR 2026: The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), 12 p.Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open AccessFile -
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
Zheng, H., Yang, R., Wang, H. & Xu, J., Aug 2026, KDD '26: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery (ACM), Vol. 1. p. 2020–2030 11 p. (Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
NILC: Discovering New Intents with LLM-assisted Clustering
Wang, H., Yang, R. & Lin, W., 21 Feb 2026, WSDM 2026 - Proceedings of the 19th ACM International Conference on Web Search and Data Mining. Manco, G. & Poblete, B. (eds.). New York, NY, USA: Association for Computing Machinery (ACM), p. 671–680 10 p. (WSDM: Web Search and Data Mining Conference).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Zheng, H., Yang, R., Zhou, Y. & Xu, J., Aug 2026, KDD '26: Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: Association for Computing Machinery (ACM), Vol. 1. p. 2031–2041 11 p. (Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access