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 |
|
[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.
Trustworthy AI (e.g., Generalizability, Multimodal, Explainability, Privacy) for Healthcare, Medical Image Analysis, Computational Pathology, Deep Learning, Computer-Assisted Intervention/XR, Bioinformatics, etc.
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
11/2024 Highly Cited Researcher by Clarivate.
11/2024 Lin Yi successfully defended his thesis, Congrats to Dr. Lin Yi!
11/2024 One paper was accepted in IEEE RBME, Congrats to Yuting!
10/2024 One paper was accepted in IEEE TNNLS, Congrats to Luyang and Yanwen!
09/2024 Top 2% of the World's Top Scientists" in both "Long-term Career Impact" and "Annual Impact" lists.
09/2024 Invited to serve as Area Chair in MIDL 2025.
09/2024 Honored to be appointed as Director of Collaboration Center for Medical and Engineering Innovation, HKUST.
09/2024 Invited to serve as Area Chair in CVPR 2025.
08/2024 Two papers were accepted in IEEE TMI, Congrats to Renao and Huajun!
08/2024 Two papers were accepted in IEEE TNNLS and TIP, Congrats to Yuyan and Haibo!
08/2024 Congrats to UROP student Liu Runsheng on winning Tse Cheuk Ng Tai Scholarship.
08/2024 Invited to serve as Area Chair for ICLR 2025.
08/2024 One paper was accepted in Nature Communications, Congrats to Zelin!
08/2024 Invited to serve as Associate Editor of IEEE TMI (IF:10.6).
08/2024 Four papers were accepted in BIBM 2024, Congrats to Jiang Hao, Sicen and Wenqiang!
08/2024 Congrats to Sicen on winning the Best Paper Award of TAI4H Workshop, IJCAI 2024.
07/2024 We won the Best CSE FYP (Champion), Congrats to Fang Xiao, Lin Yi and all!
07/2024 One paper was accepted in ECCV 2024, Congrats to Andong!
06/2024 Eighteen papers were accepted in MICCAI 2024 and Congrats to all!
05/24 We are organizing a Special Issue on Advances in Foundation Models in IEEE TNNLS. Welcome to submit your manuscripts.
05/2024 One paper was accepted in ICML 2024.
04/2024 Congrats to Kyle on winning 2024 Kerry Holdings Limited UROP Champion Award!
02/2024 One paper was accepted in CVPR 2024.
01/2024 One paper was accepted in IEEE Reviews on Biomedical Engineering and one was in Patterns (Cell Press).
01/2024 Invited to serve as Area Chair for MIDL 2024.
01/2024 Invited to serve as Area Chair for the 32nd ACM International Conference on Multimedia.
01/2024 One paper was accepted in ICLR (spotlight) and One in IEEE TMI.
01/2024 One paper was accepted in Nature Communications and One in IEEE TMI.
12/2023 Two papers were accepted in AAAI 2024.
11/2023 Two papers were accepted in IEEE-TMI and one paper was accepted in Nature Medicine.
10/2023 Ranked 2023 Top 2% of the World's Top Scientists" in both "Long-term Career Impact" and "Annual Impact" lists.
10/23 I received the OMIA-X Prestigious Achievement Award.
08/23 One paper was accepted in Medical Image Analysis.
07/23 Two papers were accepted in ICCV 2023.
07/23 Six papers were accepted in MICCAI 2023.
06/23 Invited to serve as Area Chair in CVPR 2024.
06/23 We are organizing a Special Issue on Trustworthy Machine Learning for Health Informatics in IEEE-JBHI and welcome to submit your manuscripts.
05/23 I am honored to receive The Asian Young Scientist Fellowship (AYSF) 2023.
05/23 Two UG students won the UROP Awards (one is First Runner-up and One is Second Runner-up). Congrats to Siyu and Weiwen!
04/23 One paper was accepted in IJCAI 2023 and one was accepted in Medical Image Analysis.
04/23 We are organizing the 2023 MICCAI challenge on Myopic Maculopathy Analysis Challenge.
04/23 We are organizing the 2023 MICCAI Workshops on Ophthalmic Medical Image Analysis (OMIA-X) and Multiscale Multimodal Medical Imaging (MMMI).
04/23 We are organizing the 2023 ICCV Workshop on Computer Vision for Automated Medical Diagnosis.
03/23 Three papers were accepted in CVPR 2023.
02/23 One paper was accepted in IPMI 2023.
01/23 Invited to serve as Area Chair in MICCAI 2023 and MIDL 2023.
12/22 We are organizing 2023 ICLR Workshop on Trustworthy Machine Learning in Healthcare.
11/22 Three papers were accepted in Medical Image Analysis.
Biography
Research Interests
Selected Awards
07/2024 HKUST CSE Best CSE FYP (Champion)
2022-2024 UROP Faculty Research Award
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
◎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)
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) Associate Editor of Neurocomputing Associate Editor of Medical Physics Guest Editor on Trustworthy Machine Learning for Health Informatics in IEEE-JBHI. Program Committee Area Chair of ICLR 2025, CVPR 2024-2025, ACM Multimedia 2024, IPCAI 2024, MIDL 2022-2025, MICCAI 2021-2023, IEEE ISBI 2022 Senior PC of AAAI 2022, PC of AAAI 2021, IJCAI 2022, IJCAI 2023 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) Membership IEEE Senior Member, MICCAI Member, AAAI Member 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 NeuroImage IEEE Transactions on Cybernetics IEEE Transactions on Image Processing (TIP) IEEE Reviews in Biomedical Engineering EBioMedicine Engineering JAMA Network Open IEEE Computational Intelligence Magazine International Journal of Computer Assisted Radiology and Surgery (IJCARS) Regular Conference Reviewer AAAI, IJCAI, MICCAI, IPMI, NeuIPS, CVPR, IROS, IPCAI, ISBI, MIDL
◎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.
COMP5423 Deep Learning for Medical Image Analysis, Spring 2024 COMP4421 Image Processing, Fall 2021, Fall 2022, Fall 2023, Fall 2024 COMP6211H Deep Learning in Medical Image Analysis, Spring 2022, Spring 2023