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Short Bio

I am now an Associate Professor and Ph.D./Master Supervisor at the School of Computer Science, at Central South University. Before that, I received my Ph.D. and bachelor's degrees from the Department of Electronic Information Science and Technology, Lanzhou University, China, in 2006 and 2011, respectively, with Prof. Yide Ma. I achieved a postdoc position at the School of Information Science and Engineering, with Prof. Min Wu, in 2015. Currently, I work at Central South University as an associate professor, as well as work in Digital Imaging Group of London, Dept. of Medical Biophysics, University of Western Ontario, Canada as a postdoc.

Learn more about me, please check my CV.

Research Interests

Medical Image Analysis, Artificial Intelligence, Deep Learning, Computer Vision.

I focus on interdisciplinary research in medical image analysis, computer vision, and artificial intelligence, for improving lesion detection, anatomical structure segmentation and quantification, computer-aided diagnosis, and 3D reconstruction, especially ophthalmic disease-related works.

Recently, I have devoted myself to investigating the evidence-based diagnosis and interpretative deep learning model for medical image analysis, with the advantages of tools such as OOD, TTA, causal reasoning, and so on. In addition, I also focus on weakly-supervised learning architecture in medical images.

Upcoming Events

  • I am honored to continually be Area Chair (ACs) for MICCAI 2026.
  • I am honored to be invited to join the editorial board of the "Computerized Medical Imaging and Graphics" (CMIG) journal as Associate Editor.
  • I will serve as an Area Chair (ACs) for MICCAI 2024.
  • I will serve as a Senior Program Committee (SPC) Member in AAAI 2022.
  • I serve as a PC member for AAAI'20.
  • I will participate in MICCAI 19 from October 13th to 17th, 2019 in Shenzhen, China.
  • I'm going to visit Western University as a visiting professor.
  • I'm looking for visiting students and future graduate students. .

News

  • [12/2025] ~NEW New paper has been accepted by AAAI 2026, see you in Singapore.
  • [02/2024] It's my great honor to be invited to join the editorial board of the "Computerized Medical Imaging and Graphics" (CMIG) journal as Associate Editor, as well as Area Chair (ACs) in MICCAI 2024.
  • [01/2024] It's a good beginning of new year for two good news: our new paper entitled "MIST: Multi-Instance Selective Transformer for Histopathological Subtype Prediction" has been accepted by MedIA with minor revision, and the author has got his offer from HUAWEI！Congrats!
  • [12/2023] Two papers have been accepted by the BIBM.
  • [12/2023] One paper entitled "Prognosis Forecast of Re-Irradiation for Recurrent Nasopharyngeal Carcinoma Based on Deep Learning Multi-Modal Information Fusion" is accepted by the JBHI.
  • [08/2022] One paper entitled "Machine Learning Based on Optical Coherence Tomography Images as a diagnostic tool for Alzheimer’s Disease" is accepted by the CNS Neuroscience & Therapeutics.
  • [04/2022] One paper focused on early diagnostic indicators for PD has been accepted by npj Parkinson's Disease, which is the top journal in NEUROSCIENCES with IF=8.651! Cong. Prof.Shen, Ph.D Wang and Jia!
  • [10/2021] One paper focused on data imbalance has got acceptance by MedIA!
  • [07/2020] Two papers have been accepted by ECCV2020! GREAT JOBS!
  • [02/2020] One paper has been accepted by the journal Neurocomputing (JCR Rank 1, IF = 4.072). Congratulation Zhiyou.
  • [12/2019] One paper has been accepted by the journal Archives of Computational Methods in Engineering (JCR Rank 1, IF = 7.242).
  • [11/2019] One paper has been accepted by the journal BMC Bioinformatics (JCR Rank 1, IF = 2.511).
  • [10/2019] One paper has been accepted by the top journal Medical Image Analysis (MedIA, IF = 8.88).
  • [08/2019] I serve as a PC member for AAAI'20.
  • [08/2019] Two papers have been accepted by the top journal IEEE J-BHI (Impact Factor: 4.217)
  • [06/2019] One paper entitled "Multi-Index Optic Disc Quantification via MultiTask Ensemble Learning" has been accepted by MICCAI-19 .
  • [04/2019] Welcome three new students to join our research group.
  • [04/2019] We are looking for Master students who are interested in working in the field of medical image analysis or general machine vision.
  • [01/2019] One paper entitled "Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis" has been accepted by AAAI-19 as ORAL.

Talks

Weakly-Supervised Simultaneous Evidence Identification and Segmentation for Automated Glaucoma Diagnosis, at AAAI oral

EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis, at ECCV oral

MOTTO

  • "The academic is not an army race. It does not really matter how fancy the model is. It does not really matter whether the model can achieve stoa performance. The real innovation is to find something new and this work has found a fresh new perspective." ——Anonymous Reviewer

  • " When nothing seems to help, I go and look at a stonecutter hammering away at his rock perhaps a hundred times without as much as a crack showing in it. Yet at the hundred and first blow it will split in two, and I know it was not that blow that did it -- but all that had gone before." ——Jacob Riis

    • Last updated date: Jan 2026.

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