Research output per year
Research output per year
Personal profile
Professional information
Personal profile
Dr. Yu Yang is an Assistant Professor with the Centre for Learning, Teaching, and Technology (LTTC) at The Education University of Hong Kong (EdUHK). He received his PhD from the Hong Kong Polytechnic University (HKPolyU) in 2021 and then became a Research Assistant Professor with the Department of Computing at HKPolyU. Dr. Yang’s research interests lie in AI for education, Agentic AI, LLM-based Role-playing, Graph Representation Learning, Spatiotemporal Data Analysis, and Urban Computing. In addition to publishing high-quality research papers in top journals and conferences, his research outputs have been applied to multiple industries. Dr. Yang served as a reviewer and program committee member for many international journals and conferences like IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information System, SIGKDD, TheWebConf, AAAI, NeurIPS, ICML, etc.
Research interests
AI for Education, Agentic AI, LLM-based Role-playing, Graph Representation Learning, Spatiotemporal Data Analysis, and Urban Computing
Teaching Interests
AI, Data Science, Database
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):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Collaborative imputation of urban time series through cross-city meta-learning
NIE, T., MA, W., SUN, J., YANG, Y. & CAO, J., Feb 2026, In: IEEE Transactions on Knowledge and Data Engineering. 38, 2, p. 940-955Research output: Contribution to journal › Articles › peer-review
2 Citations (Scopus) -
NL2Filter: A robust CNN design for visual services over cloud and device
ZHANG, J., GUO, H., DING, C., YANG, Y., ZHAO, X., YUAN, P. & WANG, S., Jan 2026, In: IEEE Transactions on Services Computing. 19, 1, p. 518-529Research output: Contribution to journal › Articles › peer-review
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SGSimEval: A comprehensive multifaceted and similarity-enhanced benchmark for automatic survey generation systems
GUO, B., WEN, Z., YANG, Y., GAO, P., YANG, R. & SHEN, J., 2026, Advanced data mining and applications: 21st International Conference, ADMA 2025, Kyoto, Japan, October 22–24, 2025, proceedings, part II. YOSHIKAWA, M., MENG, X., CAO, Y., XIAO, C., CHEN, W. & WANG, Y. (eds.). Singapore: Springer, p. 393-407Research output: Chapter in Book/Report/Conference proceeding › Chapters
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Behavior merging graph convolution network for multi-behavior recommendation
CHEN, H., LI, Z., BEI, Y., XU, K., ZHANG, Y., HUANG, F., YANG, Y., GONG, H. & KARRAY, F., Dec 2025, In: IEEE Transactions on Knowledge and Data Engineering. 37, 12, p. 6987-7000Research output: Contribution to journal › Articles › peer-review
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DO: An efficient deep reinforcement learning approach for optimal route with collective spatial keywords
LI, J., DONG, J., LI, L., YANG, Y., WANG, X. & ZHANG, M., 2025, Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025. New York, United States: The Association for Computing Machinery, p. 1562-1571Research output: Chapter in Book/Report/Conference proceeding › Chapters
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