News
[02/2024] Two papers to appear in CVPR 2024.
[02/2024] Our Vivim is out as pre-print! Code will be released soon.
[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 second-year Ph.D. student at the Hong Kong University of Science and Technology (Guangzhou) supervised by Prof. Lei Zhu.
I obtained my Bachelor degree with honors in Artificial Intelligence at School of Computer Science and Technology, Shandong University in 2022.
I also worked 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
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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,
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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
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2020.12-2021.06 iLearn Lab, Shandong University
Research assistant advised by Prof. Gan Tian,
Topic: Video Understanding
Publications
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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]
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Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang.
CVPR 2024.
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Vivim: a Video Vision Mamba for Medical Video Object Segmentation
Yijun Yang, Zhaohu Xing, ChunWang Huang, Lei Zhu.
arXiv. [code]
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SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu.
arXiv. [code]
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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.
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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.
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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]
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DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Yijun Yang, Huazhu Fu, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Lei Zhu.
MICCAI 2023. [code]
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HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Yijun Yang*, Shujun Wang*, Lei Zhu, Lequan Yu.
arXiv. [code]
Professional Service
Reviewer
Conference: ACM MM, MIUA, MICCAI
Journal: TMI, IJCV, TNNLS
Competitions & Projects
Intelligent Recognition for Rock Samples
TipDM Challenge,
National First Prize (only 1.3% selected from all teams)