Projects per year
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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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
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Collaborations and top research areas from the last five years
Projects
- 3 Active
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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 Local Clustering over Attributed Graphs
Zheng, H., Yang, R. & Xu, J., 20 May 2025, Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025. Hong Kong: IEEE, p. 2052-2065 14 p. (International Conference on Data Engineering).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
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Diffusion-based Graph-agnostic Clustering
Xie, K., YANG, R. & Wang, S., 22 Apr 2025, Proceedings of the ACM on Web Conference 2025. New York: Association for Computing Machinery (ACM), p. 1353-1364 12 p. (Proceedings of the ACM on Web Conference 2025).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
Ruan, J., Chen, T., Yang, R., Ke, X. & Gao, Y., 3 Aug 2025, KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 11 p. (KDD: Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
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Grasp: Simple yet effective graph similarity predictions
ZHENG, H., Shi, J. & YANG, R., 11 Apr 2025, Proceedings of the AAAI Conference on Artificial Intelligence. Walsh, T., Shah, J. & Kolter, Z. (eds.). 21 ed. New York: AAAI Conference on Artificial Intelligence, Vol. 39. p. 22884-22892 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 21).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
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Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs
Zhang, T., Yang, R., Lai, Y., Yan, M., Ye, X. & Fan, D., 13 Jul 2025, Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025. Association for Computing Machinery (ACM), (Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review