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2020 – today
- 2025
[c6]Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li:
Scaling up Masked Diffusion Models on Text. ICLR 2025- [c5]Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li:
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. ICLR 2025 - [i12]Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou
, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li:
Large Language Diffusion Models. CoRR abs/2502.09992 (2025) - [i11]Zebin You, Shen Nie, Xiaolu Zhang, Jun Hu, Jun Zhou, Zhiwu Lu, Ji-Rong Wen, Chongxuan Li:
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning. CoRR abs/2505.16933 (2025) - [i10]Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Hu, Jun Zhou, Jianfei Chen, Yankai Lin, Ji-Rong Wen, Chongxuan Li:
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. CoRR abs/2505.19223 (2025) - [i9]Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li:
Masked Diffusion Models as Energy Minimization. CoRR abs/2509.13866 (2025) - [i8]Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan:
UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models. CoRR abs/2510.10481 (2025) - [i7]Teng Shi, Chenglei Shen, Weijie Yu, Shen Nie, Chongxuan Li, Xiao Zhang, Ming He, Yan Han, Jun Xu:
LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation. CoRR abs/2511.06254 (2025) - 2024
- [c4]Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li:
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. ICLR 2024 - [c3]Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li:
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. ICML 2024: 55656-55681 - [i6]Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li:
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. CoRR abs/2404.15766 (2024) - [i5]Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li:
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. CoRR abs/2406.03736 (2024) - [i4]Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li:
Scaling up Masked Diffusion Models on Text. CoRR abs/2410.18514 (2024) - [i3]Hanzhong Guo, Shen Nie, Chao Du, Tianyu Pang, Hao Sun, Chongxuan Li:
Real-time Identity Defenses against Malicious Personalization of Diffusion Models. CoRR abs/2412.09844 (2024) - 2023
- [c2]Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu:
All are Worth Words: A ViT Backbone for Diffusion Models. CVPR 2023: 22669-22679 - [c1]Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu:
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. ICML 2023: 1692-1717 - [i2]Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu:
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. CoRR abs/2303.06555 (2023) - [i1]Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li:
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. CoRR abs/2311.01410 (2023)
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