All are Worth Words: A ViT Backbone for Diffusion Models. - Fan Bao; Shen Nie; Kaiwen Xue; Yue Cao; Chongxuan Li; Hang Su 006; Jun Zhu 001 (CVPR, 2023)

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. - Fan Bao; Shen Nie; Kaiwen Xue; Chongxuan Li; Shi Pu 002; Yaole Wang; Gang Yue; Yue Cao; Hang Su 006; Jun Zhu 001 (ICML, 2023)

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. - Shen Nie; Hanzhong Allan Guo; Cheng Lu 011; Yuhao Zhou; Chenyu Zheng; Chongxuan Li (ICLR, 2024)

Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. - Kaiwen Xue; Yuhao Zhou; Shen Nie; Xu Min; Xiaolu Zhang; Jun Zhou 011; Chongxuan Li (ICML, 2024)

Real-time Identity Defenses against Malicious Personalization of Diffusion Models. - Hanzhong Guo; Shen Nie; Chao Du; Tianyu Pang; Hao Sun; Chongxuan Li (CoRR, 2024)

Scaling up Masked Diffusion Models on Text. - Shen Nie; Fengqi Zhu; Chao Du; Tianyu Pang; Qian Liu 012; Guangtao Zeng; Min Lin; Chongxuan Li (ICLR, 2025)

Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. - Jingyang Ou; Shen Nie; Kaiwen Xue; Fengqi Zhu; Jiacheng Sun; Zhenguo Li; Chongxuan Li (ICLR, 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)

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)

LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. - Fengqi Zhu; Rongzhen Wang; Shen Nie; Xiaolu Zhang; Chunwei Wu; Jun Hu; Jun Zhou 011; Jianfei Chen; Yankai Lin; Ji-Rong Wen; Chongxuan Li (CoRR, 2025)