Yueming JinAssistant Professor
Department of Biomedical Engineering |
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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 self-motivated PhD/Postdoc/RA/Interns, who are interested in machine learning, medical image analysis, surgical 2D/3D vision, surgical robotic intelligence (details). Welcome to drop me an email with your CV. Remote collaboration is also welcome!
If you are an NUS student interested in doing research with me, feel free to drop me an email!
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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. |
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Personalizing Federated Medical Image Segmentation via Local Calibration. Jiacheng Wang*, Yueming Jin*, Liansheng Wang. European Conference on Computer Vision (ECCV), 2022. |
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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. |
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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. |
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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. [paper] |
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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. |
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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) |
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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. [paper] |
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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. (Oral) |
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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) |
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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) |
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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) [paper] |
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 |
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 |