Projects per year
Personal profile
Chinese Name
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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Collaborations and top research areas from the last five years
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AI Models Helping Combat Antibiotic Resistance in ICU – Personalized Decision Support for Empirical Antibiotic Therapy
YIN, K. (PI), CHEUNG, K. W. (CoI), ZHANG, L. (CoI), Tong, T. M. C. (CoI) & SIN, C. T. E. (CoI)
1/04/24 → 31/03/27
Project: Research project
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Computational models for health management system using multi-source data
ZHANG, L. (PI), CHEUNG, K. W. (CoPI) & FAN, J. (CoPI)
1/09/22 → 31/08/24
Project: Research project
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Towards Clinically Accurate Medical Image Report Generation Using Deep Generative Models
CHEUNG, K. W. (PI) & Cheung, J. C. K. (CoI)
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
CHEUNG, K. W. (PI)
1/01/20 → 31/12/22
Project: Research project
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Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation
Yao, W., Liu, C., Yin, K., Cheung, W. & Qin, J., 12 Dec 2024, 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural information processing systems foundation, p. 29001-29028 28 p. (Advances in Neural Information Processing Systems; vol. 37)(NeurIPS Proceedings).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval
Yan, S., Cheung, W. K., Tsang, I. W., Chiu, K., Tong, T. M., Cheung, K. C. & See, S., Jun 2024, Proceedings of 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE, p. 14324-14333 10 p. (Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access1 Citation (Scopus) -
An End-to-end Learning Approach for Counterfactual Generation and Individual Treatment Effect Estimation
Wu, F., Yin, K. & Cheung, W. K., Jun 2024, Proceedings - 2024 IEEE Conference on Artificial Intelligence (CAI). Singapore: IEEE, p. 176-182 7 p.Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
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Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation
Yan, S., Yin, H., Tsang, I. W. & Cheung, W. K., 10 Oct 2024, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Sudre, C. H., Mehta, R., Ouyang, C., Qin, C., Rakic, M. & Wells, W. M. (eds.). 1st ed. Cham: Springer, p. 34-44 11 p. (Lecture Notes in Computer Science)(International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
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DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
Yao, W., Yin, K., Cheung, W. K., Liu, J. & Qin, J., 25 Mar 2024, Proceedings of the 38th AAAI Conference on Artificial Intelligence. AAAI press, p. 16416-16424 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 15).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access6 Citations (Scopus)
Activities
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Computers in Human Behavior: Artificial Humans (Journal)
CHEUNG, K. W. (Associate editor)
2023 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Journal of Healthcare Informatics Research (Journal)
CHEUNG, K. W. (Associate editor)
2021 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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Network Modeling and Analysis in Health Informatics and Bioinformatics (Journal)
CHEUNG, K. W. (Associate editor)
2021 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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International Journal of Systems and Service-Oriented Engineering (IJSSOE) (Journal)
CHEUNG, K. W. (Associate editor)
2010 → …Activity: Publication peer-review/editorial work › Editor/reviewer for publications (incl. CDCF T61 Journal Editor)
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The IEEE Computer Society (External organisation)
CHEUNG, K. W. (General member)
2000 → …Activity: Membership › Membership of societies