Shuchen Xue - RankMe

20 papers A* 5Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models. CoRR Shuchen Xue, Chongjian Ge, Shilong Zhang, Yichen Li, Zhi-Ming Ma
2025	J	`jnl`	Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture. CoRR Shuchen Xue, Tianyu Xie, Tianyang Hu, Zijin Feng, Jiacheng Sun, Kenji Kawaguchi, Zhenguo Li, Zhi-Ming Ma
2025	J	`jnl`	Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing. CoRR Shilong Zhang, He Zhang, Zhifei Zhang, Chongjian Ge, Shuchen Xue, Shaoteng Liu, Mengwei Ren, Soo Ye Kim, Yuqian Zhou, Qing Liu, Daniil Pakhomov, Kai Zhang, Zhe Lin, Ping Luo
2025	J	`jnl`	Fast-dLLM v2: Efficient Block-Diffusion LLM. CoRR Chengyue Wu, Hao Zhang, Shuchen Xue, Shizhe Diao, Yonggan Fu, Zhijian Liu, Pavlo O. Molchanov, Ping Luo, Song Han, Enze Xie
2025	J	`jnl`	Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding. CoRR Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie
2025	J	`jnl`	Graffe: Graph Representation Learning via Diffusion Probabilistic Models. CoRR Dingshuo Chen, Shuchen Xue, Liuji Chen, Yingheng Wang, Qiang Liu, Shu Wu, Zhi-Ming Ma, Liang Wang
2025	A*	`conf`	Improved Diffusion-based Generative Model with Better Adversarial Robustness. ICLR Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma
2025	J	`jnl`	Improved Diffusion-based Generative Model with Better Adversarial Robustness. CoRR Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma
2025	A*	`conf`	Learning Single Index Models with Diffusion Priors. ICML Anqi Tang, Youming Chen, Shuchen Xue, Zhaoqiang Liu
2025	J	`jnl`	Learning Single Index Models with Diffusion Priors. CoRR Anqi Tang, Youming Chen, Shuchen Xue, Zhaoqiang Liu
2025	J	`jnl`	LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. CoRR Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo
2025	J	`jnl`	Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls. CoRR Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang
2025	J	`jnl`	SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation. CoRR Junsong Chen, Shuchen Xue, Yuyang Zhao, Jincheng Yu, Sayak Paul, Junyu Chen, Han Cai, Enze Xie, Song Han
2025	J	`jnl`	Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling. CoRR Tianyu Xie, Shuchen Xue, Zijin Feng, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Cheng Zhang
2024	A*	`conf`	Accelerating Diffusion Sampling with Optimized Time Steps. CVPR Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li
2024	J	`jnl`	Accelerating Diffusion Sampling with Optimized Time Steps. CoRR Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li
2024	A*	`conf`	The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. ICML Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
2024	J	`jnl`	The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. CoRR Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi
2023	A*	`conf`	SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
2023	J	`jnl`	SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma