Kejing Yin

avatar.jpg

RRS727

+852-34115979

cskjyin@comp.hkbu.edu.hk

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 robust and interpretable learning for high-dimensional multimodal healthcare data, 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.

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


News

Sep 30, 2025 Two papers (DiPro and CURV) are accepted to NeurIPS-25. Congratulations to Chen and Ziao!
Jan 14, 2025 I am awarded the Best Teaching Award by Department of Computer Science, HKBU.
Sep 20, 2024 One paper accepted by NeurIPS-24. Congratulations to Chen and Wenfang.
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. congratulations to Wenfang!

Selected Publications

  1. NeurIPS-25
    Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment
    Chen Liu, Wenfang Yao, Kejing Yin, William K. Cheung, and Jing Qin
    In Advances in Neural Information Processing Systems (NeurIPS-25) , 2025
  2. NeurIPS-25
    CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation
    Ziao Wang, Sixing Yan, Kejing Yin, Xiaofeng Zhang, and William K. Cheung
    In Advances in Neural Information Processing Systems (NeurIPS-25) , 2025
  3. NeurIPS-24
    neurips24_ddlcxr.png
    Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation
    Wenfang Yao*, Chen Liu*, Kejing Yin, William K. Cheung, and Jing Qin
    In Advances in Neural Information Processing Systems (NeurIPS-24) , 2024
  4. AAAI-24
    aaai24_drfuse.png
    DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
    Wenfang Yao*, Kejing Yin*, William K. Cheung, Jia Liu, and Jing Qin
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2024
  5. IEEE TKDE
    tkde24_patnet.png
    PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias
    Kejing Yin, Dong Qian, and William K Cheung
    IEEE Transactions on Knowledge and Data Engineering, 2024

Awards

Jan. 2025 Best Teaching Award
Department of Computer Science, HKBU
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