Yijun Yang



Through hardships to the stars.

Ph.D. Candidate


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News

  • [07/2024] One oral paper to appear in ACM MM 2024!
  • [07/2024] One paper to appear in ECCV 2024.
  • [06/2024] Four papers to appear in MICCAI 2024.
  • [02/2024] Two papers to appear in CVPR 2024.
  • [02/2024] Our Vivim and SegMamba are out as pre-print.
  • [07/2023] One paper to appear in ACM MM 2023. Congrats to Hongtao!
  • [07/2023] One first-author paper on Video Multi-Adverse-Weather Removal to appear in ICCV 2023.
  • [05/2023] Our DiffMIC for medical image classification is early accepted by MICCAI 2023.
  • [09/2022] We win the 4th place on the Grand Challenge P2ILF'2022
  • Biography

    I am a third-year Ph.D. candidate at the Hong Kong University of Science and Technology (Guangzhou) supervised by Prof. Lei Zhu and Dr. Huazhu Fu. I obtained my Bachelor degree with honors in Artificial Intelligence at School of Computer Science and Technology, Shandong University in 2022. I also work closely with Dr. Angelica I. Aviles-Rivero, Dr. Shujun Wang and Prof. Carola-Bibiane Schönlieb at The University of Cambridge.

    My research interests mainly lie in Medical Image Analysis, low-level vision and Generalizable AI.

    Experience

    Publications

    Professional Activities

    Invited Talks:

  • Central South University, “Delving into Adverse Weather Removal in Videos”, August 2024.
  • SIAM Conference on Imaging Science, “All-in-one Adverse Weather Removal in Videos”, May 2024.
  • MATH+ML+X Seminar, Cambridge University, “Generalisable Mammography Analysis”, July 2023.
  • Paper Reviews:

  • Conference: NeurIPS, ICLR, ECCV, ACM MM, MIUA, MICCAI
  • Journal: TMI, JBHI, IJCV, TNNLS, TCSVT, CMIG
  • Teaching Assistant:

  • 2023-2024 Spring: Advanced Learning Techniques for Medical Robotics Systems
  • 2023-2024 Fall: Physical-based vision for Robot and Autonomous Driving
  • Competitions & Projects

  • TipDM Challenge, National First Prize (only 1.3% selected from all teams)
  • P2ILF Grand Challenge, 4-th place