Mr. WU Zihan (吳子晗)

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.

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.

Zihan Wu’s research interests include machine learning, computer vision, data mining, natural language processing, and financial engineering.