Shen Nie - RankMe

18 papers A* 6Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. CoRR Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Hu, Jun Zhou, Jianfei Chen, Yankai Lin, Ji-Rong Wen, Chongxuan Li
2025	J	`jnl`	LLaDA-Rec: Discrete Diffusion for Parallel Semantic ID Generation in Generative Recommendation. CoRR Teng Shi, Chenglei Shen, Weijie Yu, Shen Nie, Chongxuan Li, Xiao Zhang, Ming He, Yan Han, Jun Xu
2025	J	`jnl`	LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning. CoRR Zebin You, Shen Nie, Xiaolu Zhang, Jun Hu, Jun Zhou, Zhiwu Lu, Ji-Rong Wen, Chongxuan Li
2025	J	`jnl`	Large Language Diffusion Models. CoRR Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li
2025	J	`jnl`	Masked Diffusion Models as Energy Minimization. CoRR Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li
2025	A*	`conf`	Scaling up Masked Diffusion Models on Text. ICLR Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li
2025	J	`jnl`	UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models. CoRR Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan
2025	A*	`conf`	Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. ICLR Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li
2024	J	`jnl`	Real-time Identity Defenses against Malicious Personalization of Diffusion Models. CoRR Hanzhong Guo, Shen Nie, Chao Du, Tianyu Pang, Hao Sun, Chongxuan Li
2024	J	`jnl`	Scaling up Masked Diffusion Models on Text. CoRR Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang, Qian Liu, Guangtao Zeng, Min Lin, Chongxuan Li
2024	A*	`conf`	The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. ICLR Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li
2024	A*	`conf`	Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. ICML Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li
2024	J	`jnl`	Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. CoRR Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li
2024	J	`jnl`	Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. CoRR Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li
2023	A*	`conf`	All are Worth Words: A ViT Backbone for Diffusion Models. CVPR Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu
2023	A*	`conf`	One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. ICML Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
2023	J	`jnl`	One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. CoRR Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
2023	J	`jnl`	The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing. CoRR Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li