Professor
Supervisor of Doctorate Candidates
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Short Bio
I'm a Professor at the school of Mechanical and Electrical Engieering, University of Electronic Science and Techology of China (UESTC). My research interests include medical image analysis, deep learning and computer vision. I obtained my Ph.D. degree in the department of medical physics and biomedical engineering, University College London (UCL) in 2018, and supervised by Sebastien Ourselin and Tom Vercauteren . I obtained my Master's and Bachelor's degrees of Biomedical Engineering from Shanghai Jiao Tong University in 2011 and 2014, respectively.
Recent Research
10 papers accepted by MICCAI 2025!
3 papers published on Pattern Recognition, for semi-supervised segmentation, weakly supervised segmentation, outlier detection, respectively.
Work on Domain Generalization and Adaptation published on Medical Image Analysis (2023), IEEE TMI (2023), IPMI (2023),IEEE TMI (2024).
Work on Weakly-Supervised Segmentation published on IEEE TMI (2023), MICCAI (2023), Medical Image Analysis (2024)
Work on Semi-Supervised Segmentation published on IEEE TII (2023), IEEE TMI (2022), Medical Image Analysis (2022), AAAI (2021), MICCAI (2023).
Work on Noisy Label Learning published on IEEE TMI (2020), IEEE JBHI (2022).
Work on Interactive Segmentation published on IEEE TPAMI (2019), IEEE TMI (2018), Medical Image Analysis (2021).
Academic Service
Guest Editor (2021-2022) for Medical Image Analysis special issue "Explainable and Generalizable Deep Learning Methods for Medical Image Computing ".
Associate Editor for Pattern Recognition (since 2025), Medical Physics (since 2022).
Area Chair (meta-reviewer) for CVPR (2026), MICCAI (2021, 2022, 2025), ISBI (2021, 2022, 2024).
Satellite Event Organizer of MICCAI (SegRap 2023, SegRap 2025).
Program Committee for MICAD 2024, AAAI 2025.
Session Chair for CCISP 2022.
Distinguished Reviewer for IEEE TMI (2020, 2022).
Reviewer for Medical Image Analysis, IEEE TPAMI, IEEE JBHI, Neurocomputing, AAAI.