A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation. (IEEE Transactions on Medical Imaging, 2025)
LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning. (IEEE Transactions on Medical Imaging, 2025)
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. (The 38th Annual AAAI Conference on Artificial Intelligence, 2024)
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. (International Journal of Computer Vision, 2021)
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach. (IEEE Transactions on Image Processing, 2024)
Unsupervised Domain Adaptation for Anatomical Landmark Detection. (International Conference on Medical Image Computing and Computer Assisted Intervention, 2023)
Learning Lightweight Face Detector with Knowledge Distillation. (International Conference on Biometrics, Oral, 2019)
Research Experience
Algorithm engineer at the Inception Institute of Artificial Intelligence (IIAI) in Abu Dhabi from 2019 to 2021. Currently a senior algorithm engineer at Alibaba DAMO Academy, Hangzhou.
Education
PhD from the Hong Kong University of Science and Technology (HKUST) in 2025, supervised by Prof. Hao Chen.
Background
Research interests include computer vision, medical image analysis, and vision-language modeling.
Miscellany
Email: haibo.nick.jin@gmail.com
Professional Activities: Reviewer for CVPR (2023, 2024, 2026), ECCV (2022, 2024), ICCV (2023), AAAI (2024, 2025); Journal reviewer for TPAMI, TIP, TMI, MIA, PR, NeuroComputing