Haibo Jin

Engineer@Alibaba Alibaba | PhD@HKUST HKUST

Haibo Jin

Bio

I am a senior algorithm engineer at Alibaba DAMO Academy, Hangzhou. I obtained my PhD from the Hong Kong University of Science and Technology (HKUST) in 2025, under the supervision of Prof. Hao Chen. Previously, I was an algorithm engineer at the Inception Institute of Artificial Intelligence (IIAI) in Abu Dhabi from 2019 to 2021.

My research interests include computer vision, medical image analysis, and vision-language modeling.

Google Scholar
GitHub
Email: haibo.nick.jin@gmail.com

Selected Publications

  1. A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation. Haibo Jin, Haoxuan Che, Sunan He and Hao Chen. IEEE Transactions on Medical Imaging (TMI), 2025.
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  2. LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning. Haoxuan Che*, Haibo Jin*, Zhengrui Guo*, Yi Lin, Cheng Jin and Hao Chen. IEEE Transactions on Medical Imaging (TMI), 2025.
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  3. PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. Haibo Jin, Haoxuan Che, Yi Lin and Hao Chen. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
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  4. Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. Haibo Jin, Shengcai Liao and Ling Shao. International Journal of Computer Vision (IJCV), 2021.
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  5. Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach. Haibo Jin*, Haoxuan Che* and Hao Chen. IEEE Transactions on Image Processing (TIP), 2024.
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  6. Unsupervised Domain Adaptation for Anatomical Landmark Detection. Haibo Jin, Haoxuan Che and Hao Chen. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.
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  7. Learning Lightweight Face Detector with Knowledge Distillation. Haibo Jin, Shifeng Zhang, Xiangyu Zhu, Yinhang Tang, Zhen Lei and Stan Z. Li. International Conference on Biometrics (ICB), Oral, 2019.
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Professional Activities

  • Conference Reviewer

    CVPR (2023, 2024, 2026), ECCV (2022, 2024), ICCV (2023), AAAI (2024, 2025)

  • Journal Reviewer

    TPAMI, TIP, TMI, MIA, PR, NeuroComputing