Yueming Jin

Senior Research Fellow

Department of Computer Science
University College London
Gower Street, London, UK

Email: ymjin5341 at gmail dot com


I am now a senior research fellow at the Department of Computer Science, University College London, working with Prof. Danail Stoyanov in WEISS. Before that, I received my Ph.D. degree in the Department of Computer Science and Engineering, The Chinese University of Hong Kong in 2019, supervised 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.

I will join National University of Singapore as Tenure-track Assistant Professor at Department of Biomedical Engineering and Department of Electrical and Computer Engineering in January 2023. I am looking for self-motivated Postdoc/PhD/RA/Interns, who are interested in machine learning, medical image analysis, surgical 2D/3D vision, surgical robotic intellgence. Welcome to drop me an email with your CV. Remote collaboration is also welcome.


Selected Publications [Google Scholar]

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation.
Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov.
IEEE Transactions on Medical Imaging (TMI), 2022.


Temporal Memory Relation Network for Workflow Recognition from Surgical Video.
Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2021.


Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning.
Zixu Zhao, Yueming Jin†, Pheng-Ann Heng.
International Conference on Computer Vision (ICCV), 2021.


Real-time Landmark Detection for Precise Endoscopic Submucosal Dissection via Shape-aware Relation Network.
Jiacheng Wang*, Yueming Jin*, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang
Medical Image Analysis (MedIA), 2021.


One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video.
Zixu Zhao, Yueming Jin†, Bo Lu, Chi-Fai Ng, Qi Dou, Yun-Hui Liu, Pheng-Ann Heng.
IEEE International Conference on Robotics and Automation (ICRA), 2021.


Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis.
Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2020.
(Ranked 1st place in MICCAI 2019 EndoVis Surgical Workflow Challenge on phase segmentation)


Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search.
Xiaojie Gao, Yueming Jin, Qi Dou, Pheng-Ann Heng.
International Conference on Robotics and Automation (ICRA), 2020.


Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video.
Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.



SV-RCNet: Workflow Recognition from Surgical Videos using Recurrent Convolutional Network.
Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng.
IEEE Transactions on Medical Imaging (TMI), 2018.
(Ranked 1st place in MICCAI M2CAI 2016 Surgical Workflow Challenge)

[paper] [code]

Reconfigurable Interlocking Furniture.
Peng Song, Chi-Wing Fu, Yueming Jin, Hongfei Xu, Ligang Liu, Pheng-Ann Heng, Daniel Cohen-Or.
ACM Transactions on Graphics (ACM TOG), SIGGRAPH Asia, 2017.
(Results were selected to be included in the technical papers trailer)

[paper] [project] [video]

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes.
Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.
(Young Scientist Award Finalist)


* indicates equal contribution; † indicates corresponding authorship.

Selected Awards

Best Paper Award in Medical Robotics at ICRA 2021
NIH Awards at MICCAI 2020
MedIA-MICCAI'17 Best Paper Award, 2017
Champion, SimSurgSkill Challenge on Objective Surgical Skills Assessment (MICCAI 2021)
Champion, ROBUST-MIS Challenge on Multi-instance Segmentation (MICCAI 2019)
Champion, EndoVis Surgical Workflow Challenge on Phase Segmentation (MICCAI 2019)
Champion, Surgical Workflow Challenge (MICCAI M2CAI 2016)
Teaching Assistant of Merit, 2016
Hong Kong PhD Fellowship, 2015-2019
National Scholarship in China, 2013,2014

Professional Services

  • Conference Services:
    * Session Chair of ICRA 2021
    * Conference review:
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR’21-22)
    IEEE International Conference on Computer Vision (ICCV’21)
    European Conference on Computer Vision (ECCV’22)
    IEEE International Conference on Robotics and Automation (ICRA'21-22)
    IEEE International Conference on Intelligent Robots and Systems (IROS'21-22)
    Association for the Advancement of Artificial Intelligence (AAAI’21-22)
    Medical Image Computing and Computer Assisted Intervention (MICCAI’17-22)

  • Journal Reviews:
    Medical Image Analysis (MedIA)
    IEEE Transactions on Medical Imaging (TMI)
    IEEE Transactions on Emerging Topics in Computing
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    IEEE Robotics and Automation Letters (RA-L)
    International Journal of Computer Assisted Radiology and Surgery (IJCARS)
    Computational and Structural Biotechnology Journal
    Computer Methods and Programs in Biomedicine (CMPB)

  • Teaching

    2015-2016FallESTR1934 Digital Logic and Systems
    2015-2016SpringCSCI1930 Data Structures
    2016-2017FallCSCI3260 Principles of Computer Graphics
    2016-2017SpringCSCI1930 Data Structures
    2017-2018FallCSCI3260 Principles of Computer Graphics

    © Yueming Jin | Last updated: Jan 2022