Dr. Liu is currently an Associate Professor in the Department of Computer Science at Hong Kong Baptist University and the Associate Director of the Health Informatics Center. He received his B.Eng. and M.Eng. degrees in Automation from National University of Defense Technology in 2004 and 2007, respectively. He received the Ph.D. degree in Computing from The Hong Kong Polytechnic University in 2011. During Feb.-Aug. 2010, he was a Visiting Scholar in the Robotics Institute at Carnegie Mellon University. Between 2011 and 2012, he was a Postdoctoral Research Associate in the Department of Statistics at Yale University. Dr. Liu's research interests include artificial intelligence, machine learning, and applied mathematics, as well as their applications in high-dimensional/heterogeneous data analytics, computational epidemiology, and infectious disease modeling. He has published more than 100 peer-reviewed papers in reputable venues, including top-tier journals such as The Lancet Discovery Science, AIJ, MLJ, T-PAMI, T-NNLS, T-CYB, T-IP, T-AC, T-AMD, T-IST, PR, and NeuroImage, as well as top-tier conferences such as AAAI, IJCAI, SIGIR, ACMMM, WWW, and CIKM.
- Artificial Intelligence, Machine Learning, Pattern Recognition
- Dimensionality Reduction, Subspace Learning
- Multi-way/Multi-view/Multi-label/Multi-task Learning
- Complex Dynamical Systems Modeling
- Computational Epidemiology, Infectious Disease Modeling
- Guangzheng Zhong, Yang Liu, and Jiming Liu, Towards Performatively Stable Equilibria in Decision-Dependent Games for Arbitrary Data Distributions. Machine Learning (MLJ), Accepted for Publication.
- Guangzheng Zhong, Yang Liu, Ruichen Liu, and Jiming Liu, Performative Prediction in the Wild: Adapting to Arbitrary Data Distribution Maps. Machine Learning (MLJ), 115:42, 2026.
- Mutong Liu, Yang Liu, and Jiming Liu, Machine learning for infectious disease risk prediction: A survey, ACM Computing Surveys (CSUR), 57(8), 212:1-39, 2025.
- Qizhou Wang, Bo Han, Yang Liu, Chen Gong, Tongliang Liu, and Jiming Liu, WDOE: Wasserstein Distribution-Agnostic Outlier Exposure, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 47(5):3530-3545, 2025.
- Valentina Franzoni, Giulio Biondi, Yang Liu, and Alfredo Milani, Evolving meta-correlation classes for binary similarity, Pattern Recognition (PR), 157:110871, 2025.
- Tiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo, Polarized message-passing in graph neural networks, Artificial Intelligence (AIJ), 331, 104129, 2024.
- Jinfu Ren, Yang Liu, and Jiming Liu, Consecutive one-week model predictions of land surface temperature stay on track for a decade with chaotic behavior tracking, Communications Earth & Environment, Nature Portfolio, 5:627, 2024.
- Jinfu Ren, Yang Liu, and Jiming Liu, Commonality and individuality based subspace learning, IEEE Transactions on Cybernetics (TCYB), 54(3), pp. 1456-1469, 2024.
- Qi Tan, Yang Liu, and Jiming Liu, Mutually adaptable learning, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 8(1), pp. 240-254, 2024.
- Jinfu Ren, Yang Liu, and Jiming Liu, Chaotic behavior learning via information tracking, Chaos, Solitons & Fractals, 175(1), 113927, 2023.
- Mutong Liu, Yang Liu, Ly Po, Shang Xia, Rekol Huy, Xiao-Nong Zhou, and Jiming Liu, Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia, Infectious Disease Modelling (IDM), 8(1), pp. 253-269, 2023.
- Jinfu Ren, Mutong Liu, Yang Liu, and Jiming Liu, TransCode: Uncovering COVID-19 transmission patterns via deep learning, Infectious Diseases of Poverty (IDP), 12, Article number: 14, 2023.
- Qi Tan, Yang Liu, and Jiming Liu, Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 32(8), pp. 3538-3552, 2021.
- Yang Liu, Zhonglei Gu, Shang Xia, Benyun Shi, Xiao-Nong Zhou, Yong Shi, and Jiming Liu, What are the underlying transmission patterns of COVID-19 outbreak? – An age-specific social contact characterization, EClinicalMedicine, The LANCET Discovery Science, 22, 100354, May, 2020.
HKBU Scholars
