Yijun Yang Through hardships to the stars. Ph.D. Candidate

News

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.

Experience

• 2021.11-2022.08    The University of Cambridge
Visiting student advised by Dr. Angelica I. Aviles-Rivero, Dr. Shujun Wang and Prof. Carola-Bibiane Schönlieb,
• 2021.06-2021.09    The University of Hong Kong
Research intern advised by Prof. Lequan Yu,

Topic: Medical Image Analysis, especially Domain Generalization and Multi-modality Learning

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

Topic: Video Understanding

Selected Publications

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

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

IEEE TMI, 2025.

• 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]

• 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)

• 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)

• 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]

• 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.

• 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.

• 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]

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

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

arXiv. [code]

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, ICML, CVPR, ICCV, 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

Awards & Competitions

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