Personal profile
Author IDs
ORCID iD: 0000-0002-6551-6177
Scopus Author ID: 58550765800
Qualifications/Experiences
Zihan Wu holds dual Bachelor’s degrees in Mathematics and Physics from the University of Science and Technology of China. He has conducted research at CityU Shenzhen Research Institute and the University of Oxford and interned as a Quantitative Researcher at Millennium Management. His work spans tensor decomposition, financial engineering, and real-world measurement systems. He has teaching experience in computer graphics and system design and is a recipient of the Hong Kong PhD Fellowship Scheme.
Biography
Zihan Wu is a Ph.D. candidate in Electrical Engineering at City University of Hong Kong, where he researches machine learning, computer vision, and data mining. He holds dual Bachelor’s degrees in Mathematics and Physics from the University of Science and Technology of China. His research has been published in top-tier IEEE and AI conferences, and he has contributed to advancements in scalable clustering and ellipse detection for real-world measurement systems.
Research Interests/Areas
Zihan Wu’s research interests include machine learning, computer vision, data mining, natural language processing, and financial engineering.
Related Links
Education/Academic qualification
BSc, Bachelor of Natural Science in Physics, University of Science and Technology of China
1 Sept 2015 → 18 Jun 2020
Award Date: 18 Jun 2020
BSc, Bachelor of Natural Science in Mathematics and Applied Mathematics(Dual), University of Science and Technology of China
1 Sept 2015 → 18 Jun 2020
Award Date: 18 Jun 2020
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- 1 Similar Profiles
Collaborations from the last five years
Research output
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Ellipse Detection via Global Arc Compatibilities and Adaptive Co-Clustering for Real-World Measurement Systems
Wu, Z., Huang, Z. & Yan, H., 28 Mar 2025, In: IEEE Transactions on Instrumentation and Measurement. 74, 16 p., 2518116.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile32 Downloads (CityUHK Scholars) -
LiveVal: Real-time and Trajectory-based Data Valuation via Adaptive Reference Points
Xu, J., Wu, Z., Wang, C. & Jia, X., Nov 2025, Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM ’25). Association for Computing Machinery, p. 3623-3634 (CIKM: Conference on Information and Knowledge Management - Proceedings).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning
Xu, J., Wu, Z., Wang, C. & Jia, X., 2025, Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS) 2025. Li, Y., Mandt, S., Agrawal, S. & Khan, E. (eds.). ML Research Press, p. 2026-2034 (Proceedings of Machine Learning Research; vol. 258).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Scalable Co-Clustering for Large-Scale Data Through Dynamic Partitioning and Hierarchical Merging
Wu, Z., Huang, Z. & Yan, H., 20 Jan 2025, 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 4686-4691 6 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
2 Link opens in a new tab Citations (Scopus) -
A convex-hull based method with manifold projections for detecting cell protrusions
Huang, Z., Wu, Z. & Yan, H., May 2024, In: Computers in Biology and Medicine. 173, 9 p., 108350.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
4 Link opens in a new tab Citations (Scopus)
Activities
- 1 Conference / Symposium
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2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2024)
WU, Z. (Presenter)
6 Oct 2024 → 10 Oct 2024Activity: Organizing or Participating in a conference / an event › Conference / Symposium
Thesis
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Development of Scalable and Adaptive Co-Clustering Algorithms and Their Applications
WU, Z. (Author), YAN, H. (Supervisor), 11 Nov 2025Student thesis: Doctoral Thesis