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
Fingerprint
- 1 Similar Scholars
Collaborations and top research areas from the last five years
Projects
- 3 Active
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Effective Clustering on Large Attributed Bipartite Graphs
Yang, R., Wu, Y., Lin, X., Wang, Q., Chan, T. N. & Shi, J., May 2024, (Accepted/In press) KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 14 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
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Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
Wang, H., Yang, R. & Xiao, X., May 2024, (Accepted/In press) KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 12 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
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Efficient High-Quality Clustering for Large Bipartite Graphs
Yang, R. & Shi, J., Feb 2024, In: Proceedings of the ACM on Management of Data. 2, 1, p. 1-27 27 p., 23.Research output: Contribution to journal › Journal article › peer-review
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Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
Lai, Y., Lin, X., Yang, R. & Wang, H., May 2024, (Accepted/In press) KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), 16 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
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Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations
Wang, H., Yang, R. & Shi, J., 9 Aug 2023, Big Data Analytics and Knowledge Discovery: 25th International Conference, DaWaK 2023, Penang, Malaysia, August 28–30, 2023, Proceedings. Wrembel, R., Gamper, J., Kotsis, G., Tjoa, A. M. & Khalil, I. (eds.). 1st ed. Springer Cham, p. 64-79 16 p. (Lecture Notes in Computer Science; vol. 14148)(DaWaK: International Conference on Big Data Analytics and Knowledge Discovery).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
1 Citation (Scopus)