Dit-Yan Yeung

Dit-Yan Yeung is a Chair Professor in the Department of Computer Science at The Hong Kong University of Science and Technology. His research focuses on artificial intelligence, with particular emphasis on machine learning, computer vision, and pattern recognition. He holds a PhD in Computer Science from the University of Southern California and has contributed to the development of novel machine learning models for applications in education and recommender systems. Prof. Yeung's academic career includes positions at the Illinois Institute of Technology and Hong Kong University of Science and Technology, where he is currently based.

Dit-Yan Yeung is a Chair Professor in the Department of CSE at HKUST, specializing in Machine Learning, Artificial Intelligence, and Computer Vision. His research focuses on developing advanced machine learning models for tasks such as precipitation nowcasting, visual object tracking, and recommendation systems. He has contributed to deep learning approaches for image representation, knowledge tracing, and spatiotemporal graph learning. His work includes benchmarking methods for visual tracking, multi-task learning, and hate speech analysis. Yeung's research emphasizes the application of deep learning techniques to real-world problems, including earth system forecasting and intrusion detection. His publications highlight the integration of neural networks with domain-specific challenges to improve accuracy and robustness.