Yijun Yang Ph.D. Candidate

News

Biography

I am a fourth-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’ve spent great time at Hong Kong University, University of Cambridge, Johns Hopkins University.

My research interests mainly lie in Generative World Modeling, AI for Healthcare, Low-level Vision.

I am on the job market for 2026. (Research Scientist and Postdoc worldwide)

Feel free to reach out to me if you are interested in collaboration.

Experience

• 2024.09-present    Johns Hopkins University
Visiting Ph.D. student advised by Prof. Alan Yuille, Dr. Jieneng Chen,

Topic: Generative World Modeling

• 2021.11-2022.08    The University of Cambridge
Visiting student advised by Prof. Carola-Bibiane Schönlieb, Dr. Angelica I. Aviles-Rivero, and Dr. Shujun Wang,

Topic: Low-level vision

• 2021.06-2021.09    The University of Hong Kong
Research intern advised by Prof. Lequan Yu,

Topic: Domain Generalization

• 2020.12-2021.06    iLearn Lab, Shandong University
Research assistant advised by Prof. Gan Tian,

Topic: Video Understanding

Selected Publications

• Medical World Model

  Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen.

  ICCV 2025. [code] [project]

  [量子位] [新智元]

• DiffMIC-v2: Medical Image Classification via Improved Diffusion Network

  Yijun Yang, Huazhu Fu, Angelica I. Aviles-Rivero, Zhaohu Xing, Lei Zhu.

  IEEE TMI, 2025. [code]

• Vivim: a Video Vision Mamba for Medical Video Segmentation

  Yijun Yang, Zhaohu Xing, Lequan Yu, Huazhu Fu, Chunwang Huang, Lei Zhu.

  IEEE TCSVT, 2025. [code]

• Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal

  Yijun Yang, Hongtao Wu, Angelica I. Aviles-Rivero, Yulun Zhang, Jing Qin, Lei Zhu.

  CVPR 2024. [code]

• Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation

  Yijun Yang, Angelica I. Aviles-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu.

  ICCV 2023. [code] [project]

• DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification

  Yijun Yang, Huazhu Fu, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Lei Zhu.

  MICCAI 2023. (early accepted) [code]

• LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos

  Huihui Xu*, Yijun Yang*, Angelica I. Aviles-Rivero, Guang Yang, Jing Qin, Lei Zhu.

  MICCAI 2024. (early accepted)

• MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening

  Yijun Yang, Shujun Wang, Lihao Liu, Sarah Hickman, Fiona J Gilbert, Carola-Bibiane Schönlieb, Angelica I. Aviles-Rivero.

  Under review.

• HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation

  Yijun Yang, Shujun Wang, Lei Zhu, Lequan Yu.

  arXiv. [code]

• Synergistic Forgery-aware Discriminative Contrastive Learning for Universal AI-generated Image Detection

  Shuaibo Li, Yijun Yang, Zhaohu Xing, Hongqiu Wang, Pengfei Hao, Xingyu Li, Zekai Liu, Qing Zhang, Lei Zhu.

  AAAI 2025. (oral)

• HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

  Xincheng Yao, Yijun Yang, Kangwei Guo, Ruiqiang Xiao, Haipeng Zhou, Haisu Tao, Jian Yang, Lei Zhu.

  MICCAI 2025.

• Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine

  Zhaohu Xing, Lihao Liu, Yijun Yang, Hongqiu Wang, Tian Ye, Sixiang Chen, Wenxue Li, Guang Liu, Lei Zhu.

  CVPR 2025.

• RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining

  Hongtao Wu, Yijun Yang, Huihui Xu, Weiming Wang, Jinni Zhou, Lei Zhu.

  ACM MM 2024. (oral)

• Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization

  Hongtao Wu, Yijun Yang, Angelica Aviles-Rivero, Jingjing Ren, Sixiang Chen, Haoyu Chen, Lei Zhu.

  ECCV 2024.

• SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation

  Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu.

  MICCAI 2024. (early accepted), (spotlight) [code]

• Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning

  Yingling Lu, Yijun Yang, Zhaohu Xing, Qiong Wang, Lei Zhu.

  MICCAI 2024. (early accepted)

• Mask-Guided Progressive Network for Joint Raindrop and Rain Streak Removal in Videos

  Hongtao Wu, Yijun Yang, Haoyu Chen, Jingjing Ren, Lei Zhu.

  ACM MM 2023.

Professional Activities

Invited Talks:

ICCV 2025 MMFMC Workshop, “Medical World Model”, October 2025.

Johns Hopkins University, “Medical World Model”, August 2025.

Hong Kong Polytechnic University, “Medical World Model”, June 2025.

University of Macau, “Medical World Model”, June 2025.

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, ICML, CVPR, ICCV, ECCV, ACM MM, MIUA, MICCAI

Journal: TPAMI, TMI, MedIA, 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

Awards & Competitions

MICCAI Young Scientist Publication Impact Award Finalist, 2025

ACM MM 2024 Multimedia Computing for Health and Medicine Best Paper Award

IEEE TMI Distinguished Reviewer Silver Level, 2024

TipDM Challenge, National First Prize (only 1.3% selected from all teams)

P2ILF Grand Challenge, 4-th place