avatar

Yongsheng Yu

Ph.D. Candidate
University of Rochester
yyu90 at ur.rochester.edu


I am a Ph.D. Candidate at the University of Rochester, working with Professor Jiebo Luo on computer vision and machine learning. My research focuses on visual generation and editing, bridging the gap between human creativity and computational intelligence.

Open to research collaborations! Always happy to explore fun, cutting-edge ideas—feel free to email me to collaborate on something impactful.

News

12/2025
I will serve as an Area Chair for ECCV 2026.
12/2025
See our PixelDiT project page and paper.
11/2025
🎈 Our RealUHR is accepted to AAAI 2025.
09/2025
🎈 One paper is accepted to NeurIPS 2025.
06/2025
🎈 OmniPaint is accepted to ICCV 2025.
04/2025
32×-compressed latent SR model ZipIR report is available! (Completed Nov 2024, delayed release due to patent application)
09/2024
🎈 PromptFix is accepted to NeurIPS 2024.
01/2024
🎈 Our MaGIC is accepted to ICLR 2024.

Experience

May 2025 - Present
Research Intern
Santa Clara, US
May 2024 - April 2025
Research Intern
San Jose, US
May 2023 - August 2023
Research Intern
Beijing, China

Publications

PixelDiT
Yongsheng Yu, Wei Xiong, Weili Nie, Yichen Sheng, Shiqiu Liu, Jiebo Luo
Preprint, 2025
ZipIR
Yongsheng Yu, Haitian Zheng, Zhifei Zhang, Jianming Zhang, Yuqian Zhou, Connelly Barnes, Yuchen Liu, Wei Xiong, Zhe Lin, Jiebo Luo
In submission, 2025
PromptFix
Yongsheng Yu*, Ziyun Zeng*, Hang Hua, Jianlong Fu, Jiebo Luo
NeurIPS, 2024 GitHub stars
MaGIC
Hao Wang*, Yongsheng Yu*, Tiejian Luo, Heng Fan, Libo Zhang
ICLR, 2024
DMT
Yongsheng Yu, Heng Fan, Libo Zhang, Jiebo Luo
In Submission, 2023
Unbiased Multi-Modality
Yongsheng Yu, Dawei Du, Libo Zhang, Tiejian Luo
ECCV, 2022
High-Fidelity Inpainting
Yongsheng Yu, Libo Zhang, Heng Fan, Tiejian Luo
ECCV, 2022

Services

Area Chair
2026
Invited Area Chair for ECCV 2026.
Reviewer
2023–2025
2025: CVPR, ICCV, ICLR, MM, NeurIPS, AAAI, TIP, IJCV
2024: CVPR, ECCV, ICML, ICLR, ICME, MM, NeurIPS, WACV
2023: CVPR, ICCV, NeurIPS, WACV


Powered by Jekyll