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Shuchen Xue
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2020 – today
- 2025
- [c4]Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma:
Improved Diffusion-based Generative Model with Better Adversarial Robustness. ICLR 2025 - [i12]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:
LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. CoRR abs/2501.12976 (2025) - [i11]Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin
, Zhi-Ming Ma:
Improved Diffusion-based Generative Model with Better Adversarial Robustness. CoRR abs/2502.17099 (2025) - [i10]Junsong Chen, Shuchen Xue, Yuyang Zhao, Jincheng Yu, Sayak Paul, Junyu Chen, Han Cai, Enze Xie, Song Han:
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation. CoRR abs/2503.09641 (2025) - [i9]Dingshuo Chen, Shuchen Xue, Liuji Chen, Yingheng Wang, Qiang Liu, Shu Wu, Zhi-Ming Ma, Liang Wang:
Graffe: Graph Representation Learning via Diffusion Probabilistic Models. CoRR abs/2505.04956 (2025) - [i8]Tianyu Xie, Shuchen Xue, Zijin Feng, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Cheng Zhang:
Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling. CoRR abs/2505.17384 (2025) - [i7]Anqi Tang, Youming Chen, Shuchen Xue, Zhaoqiang Liu:
Learning Single Index Models with Diffusion Priors. CoRR abs/2505.21135 (2025) - [i6]Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie:
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding. CoRR abs/2505.22618 (2025) - [i5]Yihong Luo, Shuchen Xue, Tianyang Hu, Jing Tang:
Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls. CoRR abs/2506.19741 (2025) - [i4]Shuchen Xue, Tianyu Xie, Tianyang Hu, Zijin Feng, Jiacheng Sun, Kenji Kawaguchi, Zhenguo Li, Zhi-Ming Ma:
Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture. CoRR abs/2506.19935 (2025) - 2024
- [c3]Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li:
Accelerating Diffusion Sampling with Optimized Time Steps. CVPR 2024: 8292-8301 - [c2]Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi:
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. ICML 2024 - [i3]Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi:
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling. CoRR abs/2402.15170 (2024) - [i2]Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li:
Accelerating Diffusion Sampling with Optimized Time Steps. CoRR abs/2402.17376 (2024) - 2023
- [c1]Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS 2023 - [i1]Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR abs/2309.05019 (2023)
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