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):
Fingerprint
- 1 Similar Scholars
Collaborations and top research areas from the last five years
-
-
"Future Cinema Systems: Next-Generation Art Technologies"
SHAW, J., LIU, J., ALONSO TRILLO, R., NELSON, P., ZHOU, C., CHEN, L., WAN, R., LIU, Y. & Guo, Y.
1/11/22 → 31/10/24
Project: Research project
-
-
-
-
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 -
LLaCE: Locally Linear Contrastive Embedding
Liu, R., Liu, Y. & Liu, J., 13 May 2024, WWW '24: Companion Proceedings of the ACM on Web Conference 2024. 1st ed. Association for Computing Machinery (ACM), p. 517-520 4 p. (WWW 2024 Companion - Companion Proceedings of the ACM Web Conference).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
Mutually Adaptable Learning
Tan, Q., Liu, Y. & Liu, J., Feb 2024, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 8, 1, p. 240-254 15 p.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia
Liu, M., Liu, Y., Po, L., Xia, S., Huy, R., Zhou, X. N. & Liu, J., Mar 2023, In: Infectious Disease Modelling. 8, 1, p. 253-269 17 p.Research output: Contribution to journal › Journal article › peer-review
Open Access3 Citations (Scopus)
Activities
- 1 Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
-
Science Partner Journal - Health Data Science, AAAS (Journal)
Yang LIU (Member of editorial board)
1 Jan 2023 → 31 Dec 2025Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)