Renchi YANG

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Renchi YANG, Prof

 https://orcid.org/0000-0002-7284-3096
20172025

Research activity per year

Personal profile

Chinese Name

杨任驰

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

  1. Databases and data management: graph query processing, similarity search
  2. The Web and information retrieval: search and ranking, recommendation, web mining
  3. 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

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Collaborations and top research areas from the last five years

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  • 26 Conference proceeding
  • 10 Journal article
  • 4 Conference article

  • Adaptive Local Clustering over Attributed Graphs

    Zheng, H., Yang, R. & Xu, J., 20 May 2025, Proceedings - 2025 IEEE 41st International Conference on Data Engineering, ICDE 2025. Hong Kong: IEEE, p. 2052-2065 14 p. (Proceedings - International Conference on Data Engineering).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

  • Cequel: Cost-Effective Querying of Large Language Models for Text Clustering

    Wang, H., Zhang, T., Yang, R. & Xu, J., 10 Nov 2025, CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management. New York, NY, USA: Association for Computing Machinery (ACM), p. 2998–3008 11 p. (CIKM: Conference on Information and Knowledge Management).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • Community-Aware Social Community Recommendation

    Jiang, R., Yang, R. & Lin, W., 10 Nov 2025, CIKM 2025 - Proceedings of the 34th ACM International Conference on Information and Knowledge Management. New York, NY, USA: Association for Computing Machinery (ACM), p. 1179–1189 11 p. (CIKM: Conference on Information and Knowledge Management).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

    Open Access

  • 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
    3 Citations (Scopus)

  • Effective Clustering for Large Multi-Relational Graphs

    Lin, X., Jiang, R. & Yang, R., 5 Dec 2025, In: Proceedings of the ACM on Management of Data. 3, 6, p. 1-28 28 p., 319.

    Research output: Contribution to journal › Journal article › peer-review

    Open Access
View all 40 research outputs