publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. arXiv
    FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling
    Yitong Li, Junsong Chen, Shuchen Xue, and 8 more authors
    arXiv preprint, 2026
    arXiv
  2. ICML
    Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and Editing
    Shilong Zhang, He Zhang, Zhifei Zhang, and 8 more authors
    International Conference on Machine Learning, 2026
    arXiv
  3. ICLR
    Fast-dLLM v2: Efficient Block-Diffusion LLM
    Chengyue Wu, Hao Zhang, Shuchen Xue, and 7 more authors
    International Conference on Learning Representations, 2026
    arXiv Code
  4. ICML
    Advantage Weighted Matching: Aligning RL with Pretraining in Diffusion Models
    Shuchen Xue, Chongjian Ge, Shilong Zhang, and 2 more authors
    International Conference on Machine Learning, 2026
    arXiv Code
  5. ICMLOral
    Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
    Shuchen Xue, Tianyu Xie, Tianyang Hu, and 5 more authors
    International Conference on Machine Learning (Oral Presentation, Top 0.70%), 2026
    Abridged in the ICML 2025 ES-FoMo workshop Oral Presentation (Top 3.42%)
    arXiv Code
  6. ICLR
    Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
    Chengyue Wu*, Hao Zhang*, Shuchen Xue, and 6 more authors
    International Conference on Learning Representations, 2026
    arXiv Code Website
  7. ICLR
    Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
    Tianyu Xie, Shuchen Xue, Zijin Feng, and 4 more authors
    International Conference on Learning Representations, 2026
    arXiv

2025

  1. NeurIPS
    Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls
    Yihong Luo*, Shuchen Xue*, Tianyang Hu, and 1 more author
    Advances in Neural Information Processing Systems, 2025
    arXiv Code
  2. ICML
    Learning Single Index Models with Diffusion Priors
    Anqi Tang*, Youming Chen*, Shuchen Xue, and 1 more author
    International Conference on Machine Learning, 2025
    arXiv
  3. arXiv
    Graffe: Graph Representation Learning via Diffusion Probabilistic Models
    Dingshuo Chen*, Shuchen Xue*, Liuji Chen, and 5 more authors
    arXiv preprint, 2025
    arXiv
  4. ICCVHighlight
    SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
    Junsong Chen*, Shuchen Xue*, Yuyang Zhao, and 6 more authors
    IEEE/CVF International Conference on Computer Vision (Highlight), 2025
    arXiv Code Website
  5. ICLR
    Improved Diffusion-based Generative Model with Better Adversarial Robustness
    Zekun Wang*, Mingyang Yi*, Shuchen Xue, and 4 more authors
    International Conference on Learning Representations, 2025
    arXiv
  6. ICCV
    LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation
    Jiahao Wang, Ning Kang, Lewei Yao, and 8 more authors
    IEEE/CVF International Conference on Computer Vision, 2025
    arXiv

2024

  1. ICML
    The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
    Jiajun Ma*, Shuchen Xue*, Tianyang Hu, and 5 more authors
    International Conference on Machine Learning, 2024
    arXiv
  2. CVPR
    Accelerating Diffusion Sampling with Optimized Time Steps
    Shuchen Xue, Zhaoqiang Liu, Fei Chen, and 4 more authors
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
    arXiv Code

2023

  1. NeurIPS
    SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
    Shuchen Xue, Mingyang Yi, Weijian Luo, and 4 more authors
    Advances in Neural Information Processing Systems, 2023
    arXiv Code