Projects 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
- 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
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Dive into the research topics where Renchi YANG is active. Topic labels come from the works of this scholar.
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Collaborations and top research areas from the last five years
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Projects
- 2 Not started
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Effective and Efficient PageRank-based Positioning for Graph Visualization
Zhang, S., Yang, R., Xiao, X., Yan, X. & Tang, B., May 2023, In: Proceedings of the ACM on Management of Data. 1, 1, 27 p., 76.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation
Li, Y., Yang, R. & Shi, J., Jun 2023, In: Proceedings of the ACM on Management of Data. 1, 2, 23 p., 116.Research output: Contribution to journal › Conference article › peer-review
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Efficient and Effective Edge-wise Graph Representation Learning
Wang, H., Yang, R., Huang, K. & Xiao, X., Aug 2023, KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Singh, A. & Sun, Y. (eds.). Association for Computing Machinery (ACM), p. 2326–2336 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
Efficient Approximation Algorithms for Spanning Centrality
Zhang, S., Yang, R., Tang, J., Xiao, X. & Tang, B., Aug 2023, KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Singh, A. & Sun, Y. (eds.). Association for Computing Machinery (ACM), p. 3386–3395 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
Efficient Estimation of Pairwise Effective Resistance
Yang, R. & Tang, J., May 2023, In: Proceedings of the ACM on Management of Data. 1, 1, 27 p., 16.Research output: Contribution to journal › Conference article › peer-review