Dr. Hao Chen Assistant ProfessorIEEE Senior Member
Room 3524 (via lifts 25-26)
Department of Computer Science and Engineering (Home)
Department of Chemical and Biological Engineering
Division of Life Science
Director of Collaboration Center for Medical and Engineering Innovation, HKUST
Associate Director in Center of Medical Imaging and Analysis, HKUST
The Hong Kong University of Science and Technology
Clear Water Bay, Kowloon, Hong Kong
Email: jhc[at]ust.hk |
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[Smart Lab,Google Scholar,HKUST Profile].
*NEW* Positions (including PhDs/RAs/Postdocs/Interns) are available on Large AI Model for Healthcare/Science (particually in Computational Pathology and Multi-omics) and XR for Computer-Assisted Intervention. Strong self-motivation is preferred (details).
If you are in HKUST and interested in doing research with me, please send me an email.
Dr Chen is an Assistant Professor at Department of Computer Science and Engineering, Department of Chemical and Biological Engineering and Division of Life Science, Hong Kong University of Science and Technology (HKUST). He leads the Smart Lab focusing on AI in healthcare. He also serves as Director of Collaboration Center for Medical and Engineering Innovation and Associate Director in Center of Medical Imaging and Analysis, HKUST. He obtained Hong Kong PhD Fellowship in 2013 and received PhD degree from The Chinese University of Hong Kong (CUHK). He was a postdoctoral research fellow in CUHK and a visiting scholar in Utrecht University Medical Center previously. He also has rich industrial research experience including Siemens and co-founded a startup. He holds a dozen of patents in AI and medical image analysis.
He received several premium awards including Best Paper Award in MIAR 2016, CUHK Faculty Outstanding Thesis Award in 2017, MICCAI Young Scientist Publication Impact Award in 2019, Forbes China 30 under 30 and Asian Young Scientist Fellowship. He also led the team winning 15+ grand challenges, such as RSNA Challenge on Pneumonia Screening, etc.
Large and Trustworthy AI (e.g., Generalizability, Multimodal, Explainability, Privacy) for Biomedcine, Medical Image Analysis, Computational Pathology, Deep Learning, Computer-Assisted Intervention/XR, Bioinformatics, etc.
06/2025 HKUST Engineering Young Investigator Research Award 2024-25
08/2025 Invited to serve as Area Chair in ICLR 2026.
08/2025 Invited to serve as Area Chair in CVPR 2026.
07/2025 One paper was accepted in IEEE TMI, Congrats to Haoxuan!
07/2025 Eight papers were accepted in MICCAI 2025 and Congrats to all!
06/2025 Honored to receive the HKUST Engineering Young Investigator Research Award 2024-25.
06/2025 Two papers were accepted in IEEE TMI, Congrats to Haoxuan and Haibo!
06/2025 One paper was accepted in 2025 ICCV, Congrats to Ziyi!
05/2025 Two papers were accepted in IEEE TMI, Congrats to Jiaxin!
05/2025 Two papers were accepted in 2025 ICML, Congrats to Zhengrui and Baijiong!
04/2025 Congrats to Runsheng (Champion) and Gu Yi (Second Runner-up) on winning 2025 Kerry Holdings Limited UROP Awards!
04/2025 One paper was accepted in Nature Biomedical Engineering, Congrats to Jiabo and Zhengrui!
04/2025 Two papers were accepted in Medical Image Analysis, Congrats to Luyang and Lin Yi!
04/2025 Two papers were accepted in IEEE TMI, Congrats to Zhixuan and Junlin!
03/2025 Three papers were accepted in CVPR 2025, Congrats to Yingxue, Zhengrui and Yequan!
02/2025 Two papers were accepted in Medical Image Analysis, Congrats to Yifeng and Cai Yu!
01/2025 Two papers were accepted in ICLR 2025, Congrats to Haoxuan and Zhengrui!
01/2025 One paper was accepted in Nature Communications, Congrats to Luyang!
01/2025 Invited to serve as Area Chair for MICCAI 2025.
01/2025 One paper was accepted in IEEE TMI, Congrats to Lin Yi!
Biography
Research Interests
Selected Awards
2022-2025 UROP Faculty Research Award
11/2024 Highly Cited Researcher by Clarivate
2022-2024 Top 2% of the World's Top Scientists" in both "Long-term Career Impact" and "Annual Impact" lists
08/2024 Best Paper Award of TAI4H Workshop, IJCAI 2024
07/2024 HKUST CSE Best CSE FYP (Champion)
10/2023 The First Prize of Beijing Science and Technology Award
10/2023 OMIA-X Prestigious Achievement Award
10/2023 IEEE TMI Distinguished Reviewer Award (Platinum Level)
06/2023 Ministry of Education Higher Education Outstanding Scientific Research Output Awards (Second Author)
05/2023 The Asian Young Scientist Fellowship (AYSF) 2023
01/2023 Distinguished Reviewers Award of CMIG in recognition of distinguished service to the journal and its authors
08/2022 IEEE TMI Distinguished Reviewer Award (Gold Level)
02/2022 Computerized Medical Imaging and Graphics (CMIG) Outstanding Reviewer Award
07/2021 World Artificial Intelligence Conference (WAIC) SAIL Award
02/2021 IEEE TMI Distinguished Reviewer Award (Gold Level)
10/2019 MICCAI Young Scientist Impact Award
10/2019 Forbes China 30 under 30
08/2018 CUHK Faculty Outstanding Thesis Award
09/2017 Best Paper Award of Medical Image Analysis-MICCAI 2017
09/2016 MIAR Best Paper Award, Switzerland
03/2013 Hong Kong PhD Fellowship
10/2012 Gold Medal, Beihang University
Selected Invited Talks
◎2025-04 Harnessing Large AI Models for Transforming Healthcare, Industry Engagement Day+, HKUST. ◎2024-09 Towards Multimodal Data Integration for Precision Oncology via Foundation Model, 8th Digital Pathology and AI Congress Asia 2024, Singapore. ◎2023-08 Advance Medical Imaging with Vision and Language Models, IJCAI-2023 Session on Medical Large Models, Symposium on Large Language Models (LLM 2023), Macao. ◎2023-08 Explainable Artificial Intelligence for Healthcare: Where Are We Now? International Conference on AI in Medicine. Singapore. ◎2023-05 Artificial Intelligence for COVID-19 Lesion Quantification from Radiology Images. APEC Workshop. Indonesia. ◎2022-11 Towards Trustworthy AI for Medical Imaging and Analysis. Keynote, AICI Forum, Australia. ◎2022-10 Label-Efficient Deep Learning for Medical Image Analysis. International School on Deep Learning, Sweden. ◎2022-08 Towards Trustworthy AI for Medical Imaging and Analysis. SenseTime/CUHK Medicine Joint Seminar. ◎2022-02 Not-so-supervised Deep Learning for Medical Image Analysis. MICS China ◎2021-12 Artificial Intelligence in Medical Imaging and Analysis: Progress, Promises and Pitfalls. HKSTP X HKMA CME Lecture ◎2021-02 Deep Learning for Large-scale Computational Pathology. Hong Kong Pathology Forum ◎2020-01 PathLAKE Masterclass: Data Science for Computational Pathology, UK ◎2019-10 How Deep Learning Can Help in the Radiology Diagnosis? Keynote in 2019 Macao Radiology Association Annual Scientific Meeting, China ◎2019-9 How Deep Learning Can Help in the Clinical Diagnosis? Create, Manage, and Deploy in the Clinical Workflow. Keynote in MICCAI CLIP Workshop, China ◎2019-3 AI in OCT: What is 3D Deep Learning? Asia-Pacific Academy of Ophthalmology Congress. Bangkok, Thailand ◎2016-07 Deep Learning for Histopathology Image Analysis, Medical Vision Workshop in CVPR 2016 (Las Vegas) ◎2016-01 Deep Learning in Medical Imaging (National Institute of Health, Washington)
Selected Publications [Full publication list is available in Google Scholar]
MICCAI 2015
Professional Service
Editorial Board Member Associate Editor of IEEE Transactions on Medical Imaging (TMI) Associate Editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Associate Editor of IEEE Journal of Biomedical and Health Informatics (JBHI) Associate Editor of Computerized Medical Imaging and Graphics (CMIG) Guest Editor on Trustworthy Machine Learning for Health Informatics in IEEE-JBHI. Program Committee Area Chair of ICLR 2025-2026, CVPR 2024-2026, ACM Multimedia 2024, IPCAI 2024, MIDL 2022-2025， MICCAI 2021-2023 and 2025, IEEE ISBI 2022 Program Chair, Workshop on Trustworthy Artificial Intelligence for Healthcare (TAI4H), IJCAI 2024 Program Chair, Workshop on Trustworthy Machine Learning for Healthcare (TML4H), ICLR 2023 Workshop on Computer Vision for Automated Medical Diagnosis, ICCV 2023 Workshop on Ophthalmic Medical Image Analysis (OMIA-X), MICCAI 2023 Workshop on Multiscale Multimodal Medical Imaging (MMMI), MICCAI 2023 Challenge on Myopic Maculopathy Analysis, MICCAI 2023 Challenge on Diabetic Retinopathy Analysis, MICCAI 2022 Technical Commitee Member of MIDL (2022-2024) Vice President of Steering Committee of the HKSTP Startups Alumni Association (2022-2024) Hong Kong BioMedical Technology Development Advisory Panel Member (2022-2024) Regular Journal Reviewer Nature Medicine Nature Methods IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI) Nature Machine Intelligence Nature Communications Medical Image Analysis (MIA) IEEE Transactions on Medical Imaging (TMI) npj Digital Medicine Journal of Clinical Investigation IEEE Transactions on Image Processing (TIP) IEEE Reviews in Biomedical Engineering EBioMedicine JAMA Network Open
Selected Challenges
◎2021/12 Winner in 2021 Tencent AI Medical Innovation System (AIMIS) Challenge
◎2020/09 Top3 in MICCAI 2020 RibFrac Challenge: Rib Fracture Detection and Classification
◎2018/11 Top5 in Kaggle RSNA Pneumonia Detection Challenge
◎2018/09 Winner on the MICCAI 2018 Multi-organ Nuclei Segmentation Challenge
◎2016/10 Winner on the MICCAI 2016 M2CAI Challenge on Surgical Workflow Recognition
◎2016/10 Winner on the MICCAI 2016 IVD Localization and Segmentation from 3D Multi-modality Images
◎2016/10 State-of-the-art record was achieved from our team on Cancer Metastasis Detection in Lymph Node
◎2016/10 CU_DL with 3D Deep Learning method placed 1st on MICCAI 2013 Brain Segmentation from MR Images
◎2016/05 CUMedVision won the 1st place in 2016 ISBI LUNA (lung nodule detection from CT images) Challenge.
◎2016/05 CUMedVision won the 1st place in 2016 ISBI Skin Lesion Classification Challenge out of 20+ teams.
◎2015/10 MICCAI Gland Segmentation Challenge. CUMedVision won the 1st place out of 13 teams. [NVIDIA news]
◎2015/10 2015 MICCAI Nuclei Segmentation Challenge. Our team (CUMedVision) won the 1st place.
◎2015/10 2015 MICCAI Endoscopic Vision Challenge. Our team (CUMedVision) won the 1st place on Polyp Detection from videos in terms of overall F1 score and detection latency.
◎2015/10 Our team won the 1st place in 2015 MICCAI IVD Localization Challenge.
◎2015/10 2012 ISBI Challenge: Segmentation of neuronal structures in Electron Microscopy (EM) stacks. Our team (CUMedVision) placed 1st on the neuronal structure segmentation out of 38 teams. [Leader board]
◎2014/10 MITOS-ATYPIA-14 challenge, 2014. Our team won the 1st place among the 17 teams on mitosis detection.
Teaching
COMP5423 Deep Learning for Medical Image Analysis, Spring 2024 COMP4421 Image Processing, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025 COMP6211H Deep Learning in Medical Image Analysis, Spring 2022, Spring 2023