Yijun Yang

Ph.D. Candidate

Hong Kong University of Science and Technology (Guangzhou)

World Models AI for Healthcare
Any collaboration is welcome, feel free to reach out to me!
Yijun Yang

Gallery

News

[07/2026] 1 npj Digital Medicine accepted.
[06/2026] 2 ECCV, 2 MICCAI accepted.
[04/2026] JoyAI-Image released!
[03/2026] 1 TMI, 1 TCSVT.
[11/2025] One oral paper accepted by AAAI 2025.
[10/2025] Invited talks by ICCV 2025 MMFMC Workshop.
[09/2025] We were nominated for MICCAI Young Scientist Publication Impact Award, 2025.
[07/2025] Invited talks by UM, PolyU, JHU.
[07/2025] One abstract accepted by RSNA 2025.
[07/2025] One paper accepted by ACM MM 2025.
[07/2025] One paper accepted by TMI.
[06/2025] Two papers accepted by ICCV 2025.
[06/2025] One paper accepted by MICCAI 2025.
[06/2025] Medical World Model is out as pre-print.
[05/2025] One paper accepted by MedIA.
[04/2025] Vivim has been accepted by TCSVT.
[01/2025] One paper accepted by CVPR 2025.
[01/2025] One paper accepted by TMI.
[12/2024] We are organizing ISICDM 2024 Challenge 4.
[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.
[07/2023] One first-author paper on Video Multi-Adverse-Weather Removal to appear in ICCV 2023.
[05/2023] Our DiffMIC is early accepted by MICCAI 2023.
[09/2022] We win the 4th place on the Grand Challenge P2ILF'2022.

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 Unified World Modeling and AI for Healthcare.

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

Experience

Joy Future Academy, JD.com

2025.09 - present
Research Intern advised by Dr. Wenbo Li, Dr. Haoyang Huang, Dr. Nan Duan
Topic: Multimodal Foundation Models

Johns Hopkins University

2024.09 - 2025.09
Visiting Ph.D. student advised by Prof. Alan Yuille, Dr. Jieneng Chen
Topic: Generative World Modeling

University of Cambridge

2021.11 - 2022.08
Visiting student advised by Prof. Carola-Bibiane Schönlieb, Dr. Angelica I. Aviles-Rivero, and Dr. Shujun Wang
Topic: Low-level Vision

The University of Hong Kong

2021.06 - 2021.09
Research intern advised by Prof. Lequan Yu
Topic: Domain Generalization

iLearn Lab, Shandong University

2020.12 - 2021.06
Research assistant advised by Prof. Liqiang, Nie, Prof. Gan Tian
Topic: Video Understanding

Selected Publications

npj Digital Medicine

Real-time Anatomy Recognition in Laparoscopic Liver Resection Using Video Segmentation AI Model

Yijun Yang, et al.

npj Digital Medicine, 2026
Hypergraph CBM

Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model

Yijun Yang, Ruiqiang Xiao, Lijie Hu, Angelica I. Aviles-Rivero, Jing Qin, Lei Zhu.

arXiv, 2026
Code
FactoSR

Unfold The World: Factorize 4D Properties in Reinforcing Spatial Reasoning

Yijun Yang, Shenghe Zheng, Wenbo Li, Jianhui Liu, Haoze Sun, Yanbing Zhang, Jiaxiu Jiang, Lin Song, Haoyang Huang, Nan Duan, Lei Zhu.

ECCV, 2026 (post-train of JoyAI-Image-Understanding)
Code
JoyAI-Image

JoyAI-Image

*Core Contributor.

Tech Report, 2026
Code
[新智元] [量子位]
Medical World Model

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
[新智元] [量子位]
DiffMIC-v2

DiffMIC-v2: Medical Image Classification via Improved Diffusion Network

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

TMI, 2025
Code
Vivim

Vivim: a Video Vision Mamba for Medical Video Segmentation

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

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

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
MammoDG

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.

IJCV, 2026
HCDG

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

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

arXiv, 2021
Code

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

Hobbies

Photography
Formula 1
Soccer