Shuchen Xue

According to our database, Shuchen Xue authored at least 14 papers between 2023 and 2025.

Collaborative distances:

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

2025

Fast-dLLM v2: Efficient Block-Diffusion LLM.

Chengyue Wu, Hao Zhang, Shuchen Xue, Shizhe Diao, Yonggan Fu, Zhijian Liu, Pavlo O. Molchanov, Ping Luo, Song Han, Enze Xie

CoRR, September, 2025

Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models.

Shuchen Xue, Chongjian Ge, Shilong Zhang, Yichen Li, Zhi-Ming Ma

CoRR, September, 2025

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture.

Shuchen Xue, Tianyu Xie, Tianyang Hu, Zijin Feng, Jiacheng Sun, Kenji Kawaguchi, Zhenguo Li, Zhi-Ming Ma

CoRR, June, 2025

Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls.

Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang

CoRR, June, 2025

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

CoRR, May, 2025

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling.

Tianyu Xie, Shuchen Xue, Zijin Feng, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Cheng Zhang

CoRR, May, 2025

Graffe: Graph Representation Learning via Diffusion Probabilistic Models.

Dingshuo Chen, Shuchen Xue, Liuji Chen, Yingheng Wang, Qiang Liu, Shu Wu, Zhi-Ming Ma, Liang Wang

CoRR, May, 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, Enze Xie, Song Han

CoRR, March, 2025

LiT: Delving into a Simplified 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

CoRR, January, 2025

Learning Single Index Models with Diffusion Priors.

Anqi Tang, Youming Chen, Shuchen Xue, Zhaoqiang Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Improved Diffusion-based Generative Model with Better Adversarial Robustness.

Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerating Diffusion Sampling with Optimized Time Steps.

Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023