Dr. JIN Yueming

Assistant Professor

Joint Appointment with Electrical and Computer Engineering

Qualifications

  • Senior Research Fellow, University College London, May 2021 – Jan 2023
  • PhD., The Chinese University of Hong Kong, Aug 2015 – Jul 2019

 

Research Interest

  • Artificial Intelligence, Machine Learning, Robotic Surgical Data Science, Biomedical Image Analysis, etc.
  • I am dedicated to the interdisciplinary researches at artificial intelligence for robotic surgical data science and biomedical image analysis. I have expertise in machine learning, especially deep learning, for dynamic robotic surgical video computing and high dimensional medical data perception.
  • I recently work on spatial-temporal representation learning, data efficient learning, multi-modality learning, 3D surgical vision. I am aiming at developing AI assistant for surgical education, surgical navigation and senior care.

 

Selected Awards and Honors

  • Best Paper Award in Medical Robotics at ICRA 2021
  • Best Paper Award at Medical Image Analysis-MICCAI 2017
  • Young Scientist Publication Impact Award Finalist at MICCAI 2021
  • Young Scientist Award Runner Up at MICCAI 2016
  • NIH Awards at MICCAI 2020
  • Winner of MICCAI SimSurgSkill Challenge on Objective Surgical Skills Assessment 2021
  • Winner of MICCAI ROBUST-MIS Challenge on Multi-instance Segmentation 2019
  • Winner of MICCAI EndoVis Surgical Workflow Challenge on Phase Segmentation 2019
  • Winner of MICCAI M2CAI Surgical Workflow Challenge 2016
  • Teaching Assistant of Merit 2016
  • Hong Kong PhD Fellowship (the highest scholarship for postgraduate in Hong Kong) 2015-2019

 

Selected Publications

  1. 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, 2018.
  2. 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, 2022.
  3. 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, 2021.
  4. Real-time Landmark Detection for Precise Endoscopic Submucosal Dissection via Shape-aware
Relation Network
Jiacheng Wang*, Yueming Jin*, Shuntian Cai, Pheng-Ann Heng, Jing Qin, Liansheng Wang
Medical Image Analysis, 2021.
  5. 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, 2020.
  6. Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma
Li Lin, Qi Dou, Yueming Jin, Guanqun Zhou, Yiqiang Tang, Weilin Chen, Bao-An Su, Feng Liu,
Changjuan Tao, Ning Jiang, Junyun Li, Linglong Tang, Chuanmiao Xie, Shaoming Huang, Pheng-Ann
Heng, Jun Ma, Joseph Wee, Melvin Chua, Hao Chen, Ying Sun
Radiology, 2019.
  7. Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng. “Incorporating temporal prior from motion flow for instrument segmentation in minimally invasive surgery video.” In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 440-448. Springer, Cham, 2019. (Oral)
  8. Personalizing Federated Medical Image Segmentation via Local Calibration, Jiacheng Wang*, Yueming Jin*, Liansheng Wang, European Conference on Computer Vision (ECCV), 2022

 

 

Selected Professional Services

  • Area Chair of MICCAI’23, IPCAI’23
  • Session Chair of ICRA’21
  • Organization Committee of ICLRW’23, MICCAIW’23, MICCAIC’23
  • Regular reviewer for the conferences MICCAI, CVPR, ICCV, ECCV, ICRA, IROS, AAAI, etc
  • Reviewer for the journals IEEE TMI, MedIA, Nature Communications Medicine, Medical Physics, International Journal of Surgery, etc