I am currently a PhD student at the School of Computer Science, The University of Sydney. I am also a research intern at the Institute of Translational Medicine, SJTU. I received my B.Eng. in Artificial Intelligence from Anhui University. I was previously an intern at the Vision and Learning Lab at the University of Alberta and at the Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging. My research is dedicated to the application of artificial intelligence in medicine.
I am actively seeking internship and collaboration opportunities in medical AI. We collaborate with hospitals, companies, and universities to advance translational medical research. I am open to all ideas, so please feel free to contact me if you are interested in my projects.
Yuezhe Yang*, Yonglin Chen*, Xingbo Dong†, Junning Zhang, Chihui Long, Zhe Jin, Yong Dai
Scientific Data, 2025
Collect a large-scale public ultrasound database to improve AI-assisted ultrasound diagnosis performance.
NeurIPS, 2026
A training-free module amplifies subtle lesion cues in frozen medical vision-language models to improve detection.
Wenjie Cai, Yuezhe Yang, Jianyang Xia, Xingbo Dong†, Zhe Jin†
TCSVT, 2026
Degradation-aware Retinex priors guide zero-shot diffusion to enhance low-light images and improve downstream segmentation.
ESWA, 2025
Propose a high-precision model for skin lesion segmentation in dermoscopic images.
Yuezhe Yang, Qingqing Ruan, Wenjie Cai, Yufang Dong, Dexin Yang, Xingbo Dong†, Zhe Jin, Yong Dai
ICME, 2026
The first to apply 3DGS to generate new ultrasound perspectives.
Yufang Dong*, Min Liu*, Jiajun Feng*, Yuezhe Yang*, Yong Dai, Zhe Jin†
Digital Health, 2025
Introduces a federated learning framework for low-cost virtual DECT image generation to support accurate gout diagnosis.
Xingbo Dong†, Ziyuan Liu, Yuezhe Yang, Yen-Lung Lai, Zhe Jin
FGCS, 2027
Proposes a dynamic two-tier scheduling framework to mitigate straggler-induced bubbles and improve pipeline-parallel training throughput.
Yuezhe Yang, Xingbo Dong, Wenjie Cai, Dexin Yang, Zhe Jin
National Invention Patent, 2025
Proposes a 3D Gaussian model generation and rendering method for low-dose brain PET imaging to reduce noise and enhance resolution.
Yuezhe Yang, YongZhou Liu, Liwen Wang, Xingbo Dong†, Zhe Jin
Submit to AAAI, 2026
The first test-time adaptation method tailored for breast ultrasound imaging.
China International College Students' Innovation Competition, 2024
Integrate physical models with deep learning to achieve efficient high-quality low-dose PET image reconstruction.
B.Eng. in AI
School of Artificial Intelligence, Anhui University
2022.09 - 2026.06
Supervisor: Zhe Jin
Research Intern
Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging, Anhui University
2023.12 - 2025.03
Supervisor: Xingbo Dong
Research Intern
Vision and Learning Lab, University of Alberta
2025.07 - 2025.10
Supervisor: Li Cheng
Research Intern
Institute of Translational Medicine, Shanghai Jiaotong University
2025.12 - 2026.10 (Expected)
Supervisor: Lei Bi
Reviewer
Scientific Reports (9 papers), Springer (5 papers), Frontiers (2 papers), CVPRW 2025 (2 papers), AAAI 2026 (4 papers), ICME 2026 (7 papers), MM 2026 (5 papers), AAAI AISI 2027 (4 papers), EI conferences (6 papers)
2026
Outstanding Graduate of Anhui Province, class of 2026, top 3% provincewide.
2024
Top 0.4% nationwide, highest undergraduate honor, CNY 10,000.
2023-2025
Outstanding completion of a national undergraduate innovation training project, project lead, CNY 6,000.
2025
China Scholarship Council support, only 30 undergraduate recipients nationwide, CAD 5,400.
2024
Higher Education Track, a flagship Ministry of Education competition, project lead.
More Scholarships, Funding, and Honors can be found here.
Chinese: Mother tongue, fluent in all aspects of communication
English: Proficient in academic listening, speaking, reading, and writing
Japanese: A little bit, interest in learning
I enjoy traveling and exploring new places. Traveling allows me to experience different cultures, meet new people, enjoy life, and gain fresh perspectives that often inspire my creative thinking.
I also enjoy watching anime and movies, which bring me joy and relaxation, while sometimes also sparking my thoughts and reflections.
Travel Location
Games, the ninth art, captivate with their interaction and visual storytelling, making them my pastime of choice.