Zebin You (游泽彬)Ph.D. Candidate
Gaoling School of Artificial Intelligence |
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About Me
I expect to graduate in June 2027 and am actively seeking opportunities in industry or research positions. I am always open to discussions and collaborations—please feel free to reach out.
I am a fourth-year Ph.D. candidate in the GSAI-ML Group at the Gaoling School of Artificial Intelligence, Renmin University of China, fortunately advised by Prof. Chongxuan Li. His rigor, dedication, and pursuit of excellence have greatly inspired and shaped my academic journey, for which I am deeply grateful.
My research interests include Multimodal Diffusion Models. Recently, I have been particularly interested in Large Language Diffusion Models and their applications.
Selected Papers
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Large Language Diffusion Models
Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li
Oral, Advances in Neural Information Processing Systems (NeurIPS), 2025
Long Paper Best Paper Award, DeLTa@ICLR 2025
[Paper] [Code]
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Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
Spotlight, Advances in Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code]
Full Papers
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LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
Zebin You, Shen Nie, Xiaolu Zhang, Jun Hu, Jun Zhou, Zhiwu Lu, Ji-Rong Wen, Chongxuan Li
Preprint, 2025
[Paper] [Code]
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LLaDA-MoE: A Sparse MoE Diffusion Language Model
Preprint, 2025
[Paper]
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Large Language Diffusion Models
Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li
Oral, Advances in Neural Information Processing Systems (NeurIPS), 2025
[Paper] [Code]
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Effective and Efficient Masked Image Generation Models
Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou, Chongxuan Li
International Conference on Machine Learning (ICML), 2025
[Paper] [Code]
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CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning
Yanqi Dai, Zebin You, Dong Jing, Yutian Luo, Nanyi Fei, Guoxing Yang, Zhiwu Lu
Preprint, 2024
[Paper]
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Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
Zebin You, Xinyu Zhang, Hanzhong Guo, Jingdong Wang, Chongxuan Li
Computer Vision and Pattern Recognition Conference (CVPR), 2025
[Paper] -
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
Spotlight Advances in Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code] -
PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control
Yong Zhong, Min Zhao, Zebin You, Xiaofeng Yu, Changwang Zhang, Chongxuan Li
European Conference on Computer Vision (ECCV), 2024
[Paper] [Demo]
Experience
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Research Intern, Ant Group, Beijing, China (2024.06 - ) Working on Large Language Diffusion Models
Mentor: Xiaolu Zhang -
Research Intern, Baidu VIS, Beijing, China (2024.01 - 2024.05) Working on Diffusion Models
Mentor: Xinyu Zhang