Shuchen Xue

scxue.jpg

I am a final-year Ph.D. student in Statistics at the University of Chinese Academy of Sciences (UCAS) and Academy of Mathematics and Systems Science (AMSS), CAS, advised by Prof. Zhi-Ming Ma. My work aims to bridge the theory and practice of scalable generative models, with a focus on efficient training and inference algorithms. I’m currently working on post-training of diffusion models.

Currently, I am a research intern at Adobe Research, supervised by Chongjian Ge. I was previously a visiting student at Columbia University and a research intern at the AI Theory Group in Noah’s Ark Lab, where I worked closely with Mingyang Yi, Tianyang Hu, Zhaoqiang Liu, Enze Xie. I received my B.S. degree in Mathematics from the University of Chinese Academy of Sciences (UCAS).

I will be graduating in Summer 2026 and am actively seeking full-time positions. I’m excited to connect and discuss potential opportunities.

news

Jul 23, 2025 One paper was selected as Highlight by ICCV 2025.
Jul 07, 2025 One paper was selected as Oral Presentation by ICML 2025 (ES-FoMo workshop) (Top 3.42%).
Jun 25, 2025 Two papers were accepted by ICCV 2025.
Jun 16, 2025 Thrilled to begin my internship at Adobe Research.
May 01, 2025 One paper was accepted by ICML 2025.

selected publications

  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
    arXiv Code
  2. 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
    arXiv Code Website
  3. arXiv
    Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
    Tianyu Xie, Shuchen Xue, Zijin Feng, and 4 more authors
    2025
    arXiv
  4. arXiv
    Graffe: Graph Representation Learning via Diffusion Probabilistic Models
    Dingshuo Chen*, Shuchen Xue*, Liuji Chen, and 5 more authors
    2025
    arXiv
  5. ICCVHighlight
    SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
    Junsong Chen*, Shuchen Xue*, Yuyang Zhao, and 6 more authors
    2025
    arXiv Code Website
  6. CVPR
    Accelerating Diffusion Sampling with Optimized Time Steps
    Shuchen Xue, Zhaoqiang Liu, Fei Chen, and 4 more authors
    2024
    arXiv Code
  7. NeurIPS
    SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
    Shuchen Xue, Mingyang Yi, Weijian Luo, and 4 more authors
    2023
    arXiv Code
 

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