Kejing Yin

Research Assistant Professor, CS@HKBU




As a Research Assistant Professor in the Department of Computer Science at Hong Kong Baptist University, I engage in advancing the frontiers of knowledge in machine learning as applied to healthcare data analytics. Prior to my current role, I earned my Ph.D. degree and subsequently served as a Post-doctoral Research Fellow, both under the supervision of Prof. William K. Cheung. My academic journey began with a Bachelor’s degree in Thermal Energy and Power Engineering from the South China University of Technology. I was a visiting PhD student at the College of Computing at Georgia Institute of Technology, where I had the privilege of working with Prof. Jimeng Sun between September 2019 and February 2020.

My research primarily focuses on machine learning for high-dimensional healthcare data analytics. I have a keen interest in computational phenotyping and predictive analytics for large-scale multi-modal clinical data, encompassing electronic health records (EHR), medical images, and clinical notes. I regularly serve as a program committee member and reviewer for prestigious international conferences and journals, such as AAAI, NeurIPS, ICLR, KDD, and IJCAI.

I currently have several research positions available. Please see this post for details.


Feb 29, 2024 Awarded one Health and Medical Research Fund (HMRF) grant as PI. The project aims to help combat antimicrobial resistance (AMR) in ICU with artificial intelligence.
Dec 09, 2023 One paper accepted by AAAI-24.
Oct 01, 2023 One paper accepted by IEEE Transactions on Knowledge and Data Engineering.

Selected Publications

    DNA-T: Deformable Neighborhood Attention Transformer for Irregular Medical Time Series
    J. Huang , B. Yang , K. Yin , and J. Xu
    IEEE Journal of Biomedical and Health Informatics, 2024
  2. AAAI-24
    DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
    W. Yao* , K. Yin* , W. K. Cheung , J. Liu , and J. Qin
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2024
    PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias
    K. Yin , D. Qian , and W. K. Cheung
    IEEE Transactions on Knowledge and Data Engineering, 2023
    Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records
    K. Yin , W. K. Cheung , B. C. Fung , and J. Poon
    IEEE Transactions on Knowledge and Data Engineering, 2022
  5. AAAI-21
    SWIFT: Scalable Wasserstein factorization for sparse nonnegative tensors
    A. Afshar , K. Yin , S. Yan , C. Qian , J. Ho , H. Park , and J. Sun
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2021


Dec. 2021 Hong Kong Young Scientist Awards, Honorable Mention
The Hong Kong Institution of Science
Mar. 2021 Yakun Scholarship for Mainland PG Students
Hong Kong Baptist University
2018-2020 Department RPg Performance Awards (for three consecutive years)
Department of Computer Science, HKBU
2017-2019 Best Presentation Award in Postgraduate Symposium (for three consecutive years)
Department of Computer Science, HKBU