Biography
I am an Assistant Professor at Department of Biomedical Engineering and Department of Electrical and Computer Engineering at National University of Singapore. Before joining NUS, I was a senior research fellow at the Department of Computer Science, University College London, working with Prof. Danail Stoyanov. I received my Ph.D. degree in the Department of Computer Science and Engineering, The Chinese University of Hong Kong, advised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu.
My research interests include artificial intelligence and its applications on medical image computing, robotic surgical data science. I recently work on spatial-temporal representation learning, data efficient learning, and multi-modality learning.
*Opening!* I am looking for PhD(2024Spring&Fall)/Postdoc/RA/Interns, who are interested in machine learning, medical image analysis, surgical 2D/3D vision, surgical robotic intelligence. Students with strong self-motivation and publication record are preferred. Welcome to email me after reading the details.
If you are an NUS student interested in doing research with me, also feel free to drop me an email!
News
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[08/2022] Invited talk at Cancer Neuroscience Symposium, organized by National Neuroscience Institute (NNI), SingHealth.
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[06/2023] Four papers are accepted to MICCAI 2023 (Two early accepted).
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[06/2023] We are organizing a Special Issue on Trustworthy Machine Learning for Health Informatics in IEEE-JBHI and welcome to submit your manuscripts.
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[06/2023] Our 2nd MICCAI Workshop on Cancer Prevention through Early Detection (CaPTion) call for papers.
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[05/2023] Our paper on joint workflow recognition and anticipation won 1st Prize of IJCARS-MICCAI 2021 Best Paper Award!
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[01/2023] Serve as Area Chair of MICCAI 2023.
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[01/2023] Two papers are accepted to ICRA and RAL about surgical skill assessment and report generation.
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[11/2022] Serve as Area Chair of IPCAI 2023.
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[09/2022] Our invited paper on joint workflow recognition and anticipation is accepted to IJCARS.
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[07/2022] Invited talk at WiMIUA, University of Cambridge.
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[07/2022] One paper on personalized FL on medical image segmentation is accepted to ECCV.
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[06/2022] One paper is accepted to IROS.
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[05/2022] One paper on surgical scene segmentation is accepted to IEEE TMI.
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[01/2022] One paper on Transformer for tool tracking of robotic surgery was accepted to ICRA 2022.
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[12/2021] One paper on landmark detection in ESD surgery was accepted to MedIA.
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[10/2021] We won the first place of 2021 MICCAI SimSurgSkill-Skill Assessment Challenge. Congrats to Ema and Dimi.
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[09/2021] One paper on adaptive segmentation from general videos to surgical videos was accepted to MedIA.
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[07/2021] One paper on video corresponding learning was accepted to ICCV 2021.
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[06/2021] One paper on semi-supervised surgical workflow recognition was accepted to MedIA.
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[06/2021] Two papers on future frame prediction and DA in robotic action recognition were accepted to IROS 2021.
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[06/2021] Our paper on multi-modality graph learning won ICRA 2021 Best Paper Award in Medical Robotics!
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[05/2021] Three papers were early accepted to MICCAI 2021 with one oral.
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[05/2021] I was invited as the Session Chair of ICRA 2021.
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[03/2021] Our paper on relating temporal cues for workflow recognition is accepted to IEEE TMI.
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[03/2021] Two papers accepted to ICRA 2021.
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[02/2021] Our paper on future scene prediction for robotic surgery is accepted to IPMI 2021 with oral.
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[01/2021] Our ROBUST-MIS 2019 challenge paper is accepted to MedIA.
Selected Publications [Find full list at Google Scholar]
* indicates equal contribution; † indicates corresponding authorship.
Selected Awards
Team
Current Students:
Haofeng Liu (M.S. SUSTech)(RA, incoming PhD Student, 2023-) |
Junde Wu (M.S. HIT)(RA, incoming PhD Student, 2023-) |
Shuojue Yang (M.S. JHU)(RA, incoming PhD Student, 2023-) |
Xiaoming Qi (Ph.D. SEU)(Visiting PhD Student, 2023-) |
Mingxuan Hong (B.E. CUHK)(MEng Student, 2023-) |
Yunpeng Zhao (B.E. Beihang)(MEng Student, 2023-) |
Zheng Fang (B.E. ZJU-UIUC)(MEng Student, 2023-) |
Previous Mentees:
Dimitrios Anastasiou (Ph.D. UCL) |
Zixu Zhao (2022 Ph.D. CUHK), Current: Amazon |
Xueying Shi (2021 Ph.D. CUHK), Current: Huawei |
Professional Services
Conference Services:
* Area Chair of MICCAI 2023, IPCAI 2023
* Publicity Co-Chair of IEEE-RAS RoboSoft 2023
* Session Chair of ICRA 2021
* Organization Committee:
ICLR Workshop on Trustworthy Machine Learning in Healthcare, 2023
MICCAI Workshop on Cancer Prevention through early detecTion, 2022, 2023
MICCAI Challenge on 3D Reconstruction During Colonoscopy, 2022
MICCAI Challenge on Pre-operative to Intra-operative Laparoscopy Fusion, 2022
* Regular Conference reviewer:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE International Conference on Computer Vision (ICCV)
European Conference on Computer Vision (ECCV)
IEEE International Conference on Robotics and Automation (ICRA)
IEEE International Conference on Intelligent Robots and Systems (IROS)
Association for the Advancement of Artificial Intelligence (AAAI)
Medical Image Computing and Computer Assisted Intervention (MICCAI)
ACM International Conference on Multimedia (ACM MM)
Regular Journal Reviewer:
Medical Image Analysis (MedIA)
IEEE Transactions on Medical Imaging (TMI)
Nature Communications Medicine
IEEE Journal of Biomedical and Health Informatics (JBHI)
IEEE Robotics and Automation Letters (RA-L)
Medical Physics
Neurocomputing
International Journal of Surgery
International Journal of Computer Assisted Radiology and Surgery (IJCARS)
Computer Methods and Programs in Biomedicine (CMPB)
Selected Talks
Towards AI-powered Robotic Surgical Vision.
Woman in Medical Image Understanding and Analysis, University of Cambridge, UK, Jul. 2022.
Towards AI-powered Robotic Surgical Vision.
IUPESM World Congress, Singapore, Jun. 2022.
Dynamic Surgical Video Analysis for Intelligent Robotic Surgery.
CMIC Seminar at University College London (UCL), Sep. 2021.
Dynamic Surgical Video Analysis for Intelligent Robotic Surgery.
The Hong Kong Polytechnic University (PolyU), Nov. 2020.
Towards Intelligent Surgery: Dynamic Surgical Visual Perception with Deep Learning.
Theme-based Research Scheme Symposium on Image-guided Robotic Surgery, CUHK, Nov. 2019.
Towards Intelligent Surgery: Dynamic Surgical Video Analysis with Deep Learning.
The 5th World Chinese Microbial Ecology and Intelligent Endoscopy Summit, Xiamen, Nov. 2019.
Teaching
2023-2024 | Fall | BN5211 Medical Robotics |
2015-2016 | Fall | ESTR1934 Digital Logic and Systems |
2015-2016 | Spring | CSCI1930 Data Structures |
2016-2017 | Fall | CSCI3260 Principles of Computer Graphics |
2016-2017 | Spring | CSCI1930 Data Structures |
2017-2018 | Fall | CSCI3260 Principles of Computer Graphics |
© Yueming Jin | Last updated: Dec 2022