Xue, Shuchen

11 publications

ICLR 2026 Fast-dLLM V2: Efficient Block-Diffusion LLM Chengyue Wu, Hao Zhang, Shuchen Xue, Shizhe Diao, Yonggan Fu, Zhijian Liu, Pavlo Molchanov, Ping Luo, Song Han, Enze Xie

ICLR 2026 Fast-dLLM: Training-Free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie

ICLR 2026 Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling Tianyu Xie, Shuchen Xue, Zijin Feng, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Cheng Zhang

ICLR 2025 Improved Diffusion-Based Generative Model with Better Adversarial Robustness Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma

ICML 2025 Learning Single Index Models with Diffusion Priors Anqi Tang, Youming Chen, Shuchen Xue, Zhaoqiang Liu

ICCV 2025 LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation 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

NeurIPS 2025 Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang

ICCV 2025 SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation Junsong Chen, Shuchen Xue, Yuyang Zhao, Jincheng Yu, Sayak Paul, Junyu Chen, Han Cai, Song Han, Enze Xie

CVPR 2024 Accelerating Diffusion Sampling with Optimized Time Steps Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li

ICML 2024 The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi

NeurIPS 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma