Nie, Shen

9 publications

NeurIPS 2025 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

ICLRW 2025 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

NeurIPS 2025 Masked Diffusion Models as Energy Minimization Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li

ICLR 2025 Scaling up Masked Diffusion Models on Text Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, 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 2024 The Blessing of Randomness: SDE Beats ODE in General Diffusion-Based Image Editing Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li

ICML 2024 Unifying Bayesian Flow Networks and Diffusion Models Through Stochastic Differential Equations Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li

CVPR 2023 All Are Worth Words: A ViT Backbone for Diffusion Models Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu

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