Projects per year
Personal profile
Chinese Name
張國威
Biography
William K. Cheung received the Ph.D. degree in computer science from the Hong Kong University of Science and Technology in Hong Kong in 1999. He is currently the Professor of the Department of Computer Science, Hong Kong Baptist University, Hong Kong. His current research interests include artificial intelligence, data mining, collaborative information filtering, social network analysis, and healthcare informatics. He has served as the Co-Chairs and Program Committee Members for a number of international conferences on areas including artificial intelligence, machine learning, data mining, Web intelligence, and health informatics. He is the Program Co-chair of 2020 IEEE International Conference on Health Informatics. From 2002-2018, he was on the Editorial Board of the IEEE Intelligent Informatics Bulletin. He is a Track Editor of Web Intelligence Journal and an Associate Editor of Journal of Health Information Research.
Research Interests
- Artificial Intelligence
- Data Mining
- Social Network Analysis
- Health Informatics
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
Dive into the research topics where Kwok Wai CHEUNG is active. Topic labels come from the works of this scholar.
- 1 Similar Scholars
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Towards Clinically Accurate Medical Image Report Generation Using Deep Generative Models
1/01/22 → 31/12/24
Project: Research project
-
-
A Temporal Tensor Factorization Framework for Phenotyping and Dynamic Patient Representation Learning Using Multi-Modal EHR Data
1/01/20 → 31/12/22
Project: Research project
-
Joint Embedding of Sequential Data and Knowledge Graphs with application to Predictive Analytics in Healthcare
1/01/18 → 30/06/21
Project: Research project
-
A Decision Support System for Identifying Causes of Delays and Evaluating Impact of Process Improvement Strategies on Cancer Patient Journey Improvement
1/11/10 → 31/10/13
Project: Research project
-
Learning Hierarchical Variational Autoencoders with Mutual Information Maximization for Autoregressive Sequence Modeling
Qian, D. & Cheung, W. K., 21 Mar 2022, (E-pub ahead of print) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Contribution to journal › Article › peer-review
-
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
Yin, K., CHEUNG, K. W., Fung, B. C. M. & Poon, J., 1 Sep 2022, In: IEEE Transactions on Knowledge and Data Engineering. 34, 9, p. 4328-4341 14 p.Research output: Contribution to journal › Article › peer-review
-
A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data
YANG, C., CHOWDHURY, D., ZHANG, Z., CHEUNG, W. K. W., LYU, A., BIAN, Z. & ZHANG, L., 29 Nov 2021, In: Computational and Structural Biotechnology Journal. 19, p. 6301-6314 14 p.Research output: Contribution to journal › Review article › peer-review
Open Access -
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data
Chen, J., Cheong, C. W., Lan, L., Zhou, X., Liu, J., Lyu, A., Cheung, W. K. & Zhang, L., Nov 2021, In: Briefings in Bioinformatics. 22, 6, 14 p., bbab325.Research output: Contribution to journal › Article › peer-review
-
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-Seq Data
Chen, J., Cheong, C., Lan, L., Zhou, X., Liu, J., Lyu, A., Cheung, W. K. & Zhang, L., 3 Feb 2021, Cold Spring Harbor Laboratory Press, p. 1-21, 21 p. (bioRxiv).Research output: Working paper › Preprint