Projects per year
Personal profile
Chinese Name
Biography
Dr. Liu is currently an Assistant 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, applied mathematics, as well as their applications in high-dimensional/heterogeneous data analytics, computational epidemiology, and infectious disease modeling. He has published more than 80 peer-reviewed papers in reputable venues, including the top journals such as The Lancet Discovery Science, T-NNLS, T-Cyber, T-IP, T-AC, T-AMD, T-IST, PR, and NeuroImage, as well as top conferences such as AAAI, IJCAI, SIGIR, and ACMMM.
Research Interests
- Artificial Intelligence, Machine Learning, Pattern Recognition
- Dimensionality Reduction, Subspace Learning
- Multi-way/Multi-view/Multi-label/Multi-task Learning
- Computational Epidemiology, Infectious Disease Modeling
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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基于流行病学知识嵌入的机器学习模型及其在传染病传播风险预测中的应用
LIU, Y. (PI), LIU, J. (CoI) & LIU, M. (CoI)
1/01/24 → 31/12/26
Project: Research project
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复杂动态系统的表征理论与自动建模方法
Yang, B. (PI), LIU, J. (CoPI) & LIU, Y. (CoPI)
1/12/21 → 30/11/25
Project: Research project
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Learning Non-stationary and Chaotic Behaviors for Spatiotemporal Prediction: An Information Tracking Approach
LIU, Y. (PI), GAO, M. (CoI), Xia, S. (CoI) & LIU, J. (CoI)
1/01/25 → 31/12/27
Project: Research project
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Evolving meta-correlation classes for binary similarity
Franzoni, V., Biondi, G., Liu, Y. & Milani, A., Jan 2025, In: Pattern Recognition. 157, 12 p., 110871.Research output: Contribution to journal › Journal article › peer-review
Open Access -
A Physics-guided Attention-based Neural Network for Sea Surface Temperature Prediction
Shi, B., Feng, L., He, H., Hao, Y., Peng, Y., Liu, M., Liu, Y. & Liu, J., 10 Sept 2024, In: IEEE Transactions on Geoscience and Remote Sensing. 62, 13 p., 4210413.Research output: Contribution to journal › Journal article › peer-review
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Bayesian inference for the onset time and epidemiological characteristics of emerging infectious diseases
Shi, B., Yang, S., Tan, Q., Zhou, L., Liu, Y., Zhou, X. & Liu, J., 17 May 2024, In: Frontiers in Public Health. 12, 12 p., 1406566.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Commonality and Individuality-Based Subspace Learning
Ren, J., Liu, Y. & Liu, J., Mar 2024, In: IEEE Transactions on Cybernetics. 54, 3, p. 1456-1469 14 p.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Consecutive one-week model predictions of land surface temperature stay on track for a decade with chaotic behavior tracking
Ren, J., Liu, Y. & Liu, J., 25 Oct 2024, In: Communications Earth and Environment. 5, 1, 8 p., 627.Research output: Contribution to journal › Journal article › peer-review
Open Access
Activities
- 1 Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Science Partner Journal - Health Data Science, AAAS (Journal)
LIU, Y. (Member of editorial board)
1 Jan 2023 → 31 Dec 2025Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)