Kejing Yin
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 School of Electric Power Engineering at 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.
| Aug 31, 2026 | One paper accepted by EMNLP-26 Findings. Congratulations to Feilong! |
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| Aug 17, 2026 | One paper accepted by ICDM-26. Congratulations to Dr. Wu and Danni! |
| Jul 13, 2026 | One paper accepted by MICCAI-26. Congratulations to Kexin! |
| Jan 26, 2026 | Two papers (MASAM and RadSCR) are accepted to ICLR-26. Congratulations to Zijie and Sixing! |
| 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! |
| Oct 01, 2023 | One paper accepted by IEEE Transactions on Knowledge and Data Engineering. |
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Kexin Xie, Baoyao Yang, Kejing Yin, William K. Cheung, and Guibo Luo, “Uncertainty-Aware Hypergraph Consistency Learning for Semi-supervised Medical Image Segmentation,” in Medical Image Computing and Computer Assisted Intervention (MICCAI-26), 2026.
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Sixing Yan, Ziao Wang, Kejing Yin, William K. Cheung, Ka Chun Cheung, and Simon See, “Learning Self-Critiquing Mechanisms for Region-Guided Chest X-Ray Report Generation,” in The Fourteenth International Conference on Learning Representations (ICLR-26), 2026. [PDF]
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Ziao Wang, Sixing Yan, Kejing Yin, Xiaofeng Zhang, and William K. Cheung, “CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation,” in Advances in Neural Information Processing Systems (NeurIPS-25), 2025. [PDF]
Awards
| Jan. 2025 |
Best Teaching Award Department of Computer Science, HKBU |
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| 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 |