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):
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Dive into the research topics where Kwok Wai CHEUNG is active. Topic labels come from the works of this scholar.
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Towards Clinically Accurate Medical Image Report Generation Using Deep Generative Models
1/01/22 → 31/12/24
Project: Research project
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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
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Joint Embedding of Sequential Data and Knowledge Graphs with application to Predictive Analytics in Healthcare
1/01/18 → 30/06/21
Project: Research project
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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
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Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute
Xu, K., Cheong, C., Veldsman, W. P., Lyu, A., Cheung, W. K. & Zhang, L., May 2023, In: Briefings in Bioinformatics. 24, 3, 12 p., bbad124.Research output: Contribution to journal › Article › peer-review
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Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation
Yan, S., Cheung, W. K., Chiu, K., Tong, T. M., Cheung, K. C. & See, S., 15 Feb 2023, (E-pub ahead of print) In: IEEE Transactions on Medical Imaging. 12 p., 10045710.Research output: Contribution to journal › Article › peer-review
Open Access -
Efficient and Optimal Algorithms for Tree Summarization with Weighted Terminologies
Zhu, X., Huang, X., Choi, B. K. K., Xu, J., Cheung, W. K. W., Zhang, Y. & Liu, J., 1 Mar 2023, In: IEEE Transactions on Knowledge and Data Engineering. 35, 3, p. 2500-2514 15 p.Research output: Contribution to journal › Article › peer-review
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Learning Hierarchical Variational Autoencoders with Mutual Information Maximization for Autoregressive Sequence Modeling
Qian, D. & Cheung, W. K. W., 1 Feb 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 2, p. 1949-1962 14 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors
Yan, Z., Liu, L., Li, X., Cheung, W., Zhang, Y., Liu, Q. & Wang, G., 1 Apr 2023, In: IEEE Transactions on Knowledge and Data Engineering. 35, 4, p. 4307-4320 14 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)