Projects per year
Personal profile
Chinese Name
殷可經
Biography
Dr. Kejing Yin is a Research Assistant Professor in the Department of Computer Science, Hong Kong Baptist University. Before his RAP appointment, he served as a Post-doctoral Research Fellow in the same department. He received his Ph.D. degree from the Department of Computer Science, Hong Kong Baptist University in 2021, and his Bachelor’s degree from the South China University of Technology in 2015. He was a visiting Ph.D. student at the College of Computing at Georgia Institute of Technology from Sep. 2019 to Feb. 2020. His research interests mainly focus on machine learning for high-dimensional healthcare data analytics, including computational phenotyping and predictive analytics for large-scale electronic health records (EHR) data. He serves as a program committee member or reviewer for international conferences, including AAAI, IJCAI, NeurIPS, ICLR, and ICHI.
Research Interests
- Machine Learning for Healthcare
- Healthcare Data Analysis
- Computational Phenotyping
- Temporal Data Analysis
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Dive into the research topics where Kejing YIN is active. Topic labels come from the works of this scholar.
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Collaborations and top research areas from the last five years
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Projects
- 3 Active
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Explainable AI Methods for Early Screening and Prognosis Prediction for Liver Cancer Using Electronic Health Records
YIN, K. (PI) & Yip, T.C.-F. (CoI)
1/09/25 → 31/08/27
Project: Research project
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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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Explanation Beyond Individual Features: Instance-wise Feature Grouping for EHR Predictive Analytics
Cheong, C. W., Yin, K., Cheung, W. K. & Tsang, I., Mar 2026, In: Journal of Healthcare Informatics Research. 10, 1, p. 70-94 25 p.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Learning Self-Critiquing Mechanisms for Region-Guided Chest X-Ray Report Generation
Yan, S., Wang, Z., Yin, K., Cheung, W. K., Cheung, K. C. & See, S., 23 Apr 2026, The Fourteenth International Conference on Learning Representations, ICLR 2026. International Conference on Learning Representations, ICLR, p. 1-26 26 p. (International Conference on Learning Representations).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
MASAM: Multimodal Adaptive Sharpness-Aware Minimization for Heterogeneous Data Fusion
Chen, Z., Yin, K., Yao, W., Cheung, W. K. & Qin, J., 23 Apr 2026, The Fourteenth International Conference on Learning Representations, ICLR 2026. International Conference on Learning Representations, ICLR, p. 1-28 28 p. (International Conference on Learning Representations, ICLR).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation
Wang, Z., Yan, S., Yin, K., Zhang, X. & Cheung, W. K., 2 Dec 2025, 39th Conference on Neural Information Processing Systems, NeurIPS 2025. Belgrave, D., Zhang, C., Lin, H., Pascanu, R., Koniusz, P., Ghassemi, M. & Chen, N. (eds.). Neural Information Processing Systems Foundation, p. 1-28 28 p. (Advances in Neural Information Processing Systems; vol. 38)(NeurIPS Proceedings).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment
Liu, C., Yao, W., Yin, K., Cheung, W. K. & Qin, J., 2 Dec 2025, 39th Conference on Neural Information Processing Systems, NeurIPS 2025. Belgrave, D., Zhang, C., Lin, H., Pascanu, R., Koniusz, P., Ghassemi, M. & Chen, N. (eds.). Neural Information Processing Systems Foundation, p. 1-28 28 p. (Advances in Neural Information Processing Systems; vol. 38)(NeurIPS Proceedings).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access