publications

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

2025

  1. ICML WorkshopOral
    Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
    Shuchen Xue, Tianyu Xie, Tianyang Hu, and 5 more authors
    ICML 2025 ES-FoMo workshop Oral Presentation (Top 3.42%) , 2025
  2. arXiv
    Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls
    Yihong Luo*, Shuchen Xue*, Tianyang Hu, and 1 more author
    2025
  3. arXiv
    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
    2025
  4. ICML
    Learning Single Index Models with Diffusion Priors
    Anqi Tang*, Youming Chen*, Shuchen Xue, and 1 more author
    2025
  5. arXiv
    Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
    Tianyu Xie, Shuchen Xue, Zijin Feng, and 4 more authors
    2025
  6. arXiv
    Graffe: Graph Representation Learning via Diffusion Probabilistic Models
    Dingshuo Chen*, Shuchen Xue*, Liuji Chen, and 5 more authors
    2025
  7. ICCVHighlight
    SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
    Junsong Chen*, Shuchen Xue*, Yuyang Zhao, and 6 more authors
    2025
  8. ICLR
    Improved Diffusion-based Generative Model with Better Adversarial Robustness
    Zekun Wang*, Mingyang Yi*, Shuchen Xue, and 4 more authors
    2025
  9. ICCV
    LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation
    Jiahao Wang, Ning Kang, Lewei Yao, and 8 more authors
    2025

2024

  1. ICML
    The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
    Jiajun Ma*, Shuchen Xue*, Tianyang Hu, and 5 more authors
    2024
  2. CVPR
    Accelerating Diffusion Sampling with Optimized Time Steps
    Shuchen Xue, Zhaoqiang Liu, Fei Chen, and 4 more authors
    2024

2023

  1. NeurIPS
    SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
    Shuchen Xue, Mingyang Yi, Weijian Luo, and 4 more authors
    2023