Nevin Lianwen Zhang

Dr. Nevin Lianwen Zhang is a full Professor at the Department of Computer Science and Engineering, The Hong Kong University of Science and Technology. He received his BSc degree in Applied Math at University of Electronic Science and Technology of China in 1983, MSc degree in Applied Math at Beijing Normal University in 1986, PhD in Applied Math at Beijing Normal University in 1989, and PhD in Computer Science at University of British Columbia in 1994. His research interests include latent tree models, multidimensional clustering, hierarchical topic detection, deep probabilistic models, patient clustering and classification for traditional Chinese medicine. He is an Associate Editor of Artificial Intelligence Journal and International Journal of Approximate Reasoning (IJAR).

Nevin L. Zhang is a researcher at the Hong Kong University of Science and Technology, focusing on AI, Machine Learning, and Traditional Chinese Medicine. His work explores probabilistic reasoning, Bayesian networks, and decision-making processes in complex systems. Zhang's research includes methods for efficient inference in Bayesian networks, partially observable Markov decision processes, and applications of latent tree models in traditional Chinese medicine. He has also contributed to deep learning-based approaches for microstructural material design and multidimensional clustering of categorical data. His publications highlight the intersection of probabilistic modeling, computational theory, and domain-specific applications.