Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. - Zebin You; Yong Zhong; Fan Bao; Jiacheng Sun; Chongxuan Li; Jun Zhu (NeurIPS, 2023)

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. - Zebin You; Yong Zhong; Fan Bao; Jiacheng Sun; Chongxuan Li; Jun Zhu 001 (CoRR, 2023)

PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control. - Yong Zhong; Min Zhao 013; Zebin You; Xiaofeng Yu; Changwang Zhang; Chongxuan Li (ECCV (44), 2024)

Are Image Distributions Indistinguishable to Humans Indistinguishable to Classifiers? - Zebin You; Xinyu Zhang 017; Hanzhong Guo; Jingdong Wang 001; Chongxuan Li (CoRR, 2024)

Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers? - Zebin You; Xinyu Zhang 017; Hanzhong Guo; Jingdong Wang 001; Chongxuan Li (CVPR, 2025)

Large Language Diffusion Models. - Shen Nie; Fengqi Zhu; Zebin You; Xiaolu Zhang; Jingyang Ou; Jun Hu; Jun Zhou 011; Yankai Lin; Ji-Rong Wen; Chongxuan Li (CoRR, 2025)

Effective and Efficient Masked Image Generation Models. - Zebin You; Jingyang Ou; Xiaolu Zhang; Jun Hu; Jun Zhou 011; Chongxuan Li (CoRR, 2025)

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning. - Zebin You; Shen Nie; Xiaolu Zhang; Jun Hu; Jun Zhou 011; Zhiwu Lu 001; Ji-Rong Wen; Chongxuan Li (CoRR, 2025)