Electronic Engineering Department, The Chinese University of Hong Kong - Prof YUAN, Yixuan 袁奕萱

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Prof YUAN, Yixuan 袁奕萱

Associate Professor
B.Eng. (NWPU, China), Ph.D. (CUHK)
homepage Rm 311, Ho Sin Hang Engineering Building phone Tel: +852 3943 4461 This email address is being protected from spambots. You need JavaScript enabled to view it.

Research Interests:

Medical image analysis, Deep learning in healthcare, Abnormality detection
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hyperlink http://www.ee.cuhk.edu.hk/~yxyuan/

 

  

Resume of Career

Prof. Yixuan YUAN is an associate professor in the Department of Electronic Engineering at the Chinese University of Hong Kong (CUHK). She received the B.S. degree from Northwestern Polytechnical University, the Ph.D. degree from CUHK with HKPFS. She was a postdoctoral Fellow in Stanford University. Her research interest is AI in healthcare to promote precision medicine. She received several premium awards including NSFC Young Scientist Scheme (Type B), Top 1 most influential papers in AAAI 2025, ICBIR 2023 Best Paper Award, CVPR 2022 Best Paper Nomination, MICCAI 2022 Young Scientist Award, Hong Kong Young Scientist Award in Engineering, ICMA 2013 Best Paper Award. She is ranked Top 2% of Scientists on Stanford List 2021-2025. As the first/corresponding authors, she has published over 100 papers in journals, including Nature Biomedical Engineering/Cell reports Medicine/IEEE TMI/TPAMI/IJCV/MedIA and conferences including MICCAI/CVPR/ICCV/ECCV/ NeurIPS/ICRA.

Research Interests

Medical image analysis, Deep learning in healthcare, Abnormality detection

Publications for the Past 3 Years

Journal

  1. Cheng Wang, Yu Jiang, Zhihao Peng, Chenxin Li, Changbae Bang, Lin Zhao, Wanyi Fu, Jinglei Lv, Jorge Sepulcre, Carl Yang, Lifang He, Tianming Liu, Xue-jun Kong, Quanzheng Li, Daniel Barron, Anqi Qiu, Randy Hirschtick, Byung-Hoon Kim, Hongbin Han*, Xiang Li*, Yixuan Yuan*, Towards a general-purpose foundation model for fMRI analysis. Nature Biomedical Engineering, 2026 (https://doi.org/10.1038/s41551-026-01666-y).
  2. Xinyu Liu, Kuo Feng Hung, Weihao Yu, Ray Anthony W T Ng, Wuyang Li, Tianye Niu, Hui Chen*, Yixuan Yuan*, Developing and Evaluating Multimodal Large Language Model for Orthopantomography Analysis to Support Clinical Dentistry. Cell Reports Medicine, 7(3):102652, 2026.
  3. Xinyu Liu, Zhen Chen, Wuyang Li, Chenxin Li, Yixuan Yuan, Harnessing Lightweight Transformer with Contextual Synergic Enhancement for Efficient 3D Medical Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 48(3):3852-3867, 2026.
  4. Wuyang Li, Xinyu Liu, Yixuan Yuan, SIGMA++: Improved Semantic-complete Graph Matching for Domain Adaptive Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(7):9022-9040, 2023.
  5. Guo Xiaoqing, Jie Liu, Tongliang Liu, Yixuan Yuan, Handling Open-set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(8):9846-9861, 2023.

Conference

  1. Chenxin Li, Xinyu Liu, Wuyang Li, Cheng Wang, Hengyu Liu, Yifan Liu, Zhen Chen, Yixuan Yuan, U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation. International Conference on Computer Vision (AAAI 2025, Top 1 most influential papers in AAAI 2025), Philadelphia, Pennsylvania.
  2. Wuyang Li, Wentao Pan, Xiaoyuan Liu, Zhendong Luo, Chenxin Li, Hengyu Liu, Din Ping Tsai, Mu Ku Chen, Yixuan Yuan, MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy. International Conference on Computer Vision (ICCV 2025, Full marks, Spotlight), Honolulu, Hawaii.
  3. Wuyang Li, Xinyu Liu, Jiayi Ma, Yixuan Yuan, CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection. The 18th European Conference on Computer Vision (ECCV 2024, ORAL), Milano, Italy.
  4. Wuyang Li, Xiaoqing Guo, Yixuan Yuan, Novel Scenes & Classes: Towards Adaptive Open-set Object Detection. International Conference on Computer Vision 2023 (ICCV 23, ORAL), Paris, France.
  5. Wuyang Li, Xinyu Liu, Yixuan Yuan, SIGMA: Semantic-complete Graph Matching for Domain Adaptative Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 22, ORAL, Best Paper Finalist, 33/8161), New Orleans, Louisiana.
  6. Xinyu Liu, Wuyang Li, Yixuan Yuan, Intervention & Interaction Federated Abnormality Detection with Noisy Clients. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 22, ORAL，Student Travel Award), Singapore. (Early Accept)
  7. Xiaohan Xing, Zhen Chen, Meilu Zhu, Yuenan Hou, Zhifan Gao, Yixuan Yuan, Discrepancy and Gradient-guided Multi-modal Knowledge Distillation for Pathological Glioma Grading. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 22, ORAL, Young Scientist Award), Singapore (Early Accept)
  8. Wuyang Li, Xinyu Liu, Xiwen Yao, Yixuan Yuan, SCAN: Cross Domain Object Detection with Semantic Conditioned Adaptation. AAAI Conference on Artificial Intelligence (AAAI 22, ORAL), Virtual Conference.
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