Shen Nie

According to our database, Shen Nie authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Jianfei Chen, Yankai Lin, Ji-Rong Wen, Chongxuan Li

CoRR, May, 2025

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

CoRR, May, 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

CoRR, February, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scaling up Masked Diffusion Models on Text.

Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023