Publications

The up-to-date list is available on my Google Scholar. * denotes equal contribution

2025

  1. CVPR
    Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
    Nanye Ma*, Shangyuan Tong*, Haolin Jia, Hexiang Hu, Yu-Chuan Su, Mingda Zhang, Xuan Yang, Yandong Li, Tommi Jaakkola, Xuhui Jia, and Saining Xie
    In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2025
    Highlight

2024

  1. ICML Workshop
    Diffusion Domain Expansion: Learning to Coordinate Pre-Trained Diffusion Models
    Egor Lifar*, Semyon Savkin*, Timur Garipov, Shangyuan Tong, and Tommi Jaakkola
    In ICML Workshop on Structured Probabilistic Inference & Generative Modeling, 2024

2023

  1. ICML
    PFGM++: Unlocking the Potential of Physics-Inspired Generative Models
    Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, and Tommi Jaakkola
    In International Conference on Machine Learning (ICML), 2023
  2. ICLR
    Stable Target Field for Reduced Variance Score Estimation in Diffusion Models
    Yilun Xu*, Shangyuan Tong*, and Tommi Jaakkola
    In International Conference on Learning Representations (ICLR), 2023

2022

  1. Thesis
    Learning to Align the Supports of Distributions
    Shangyuan Tong
    Massachusetts Institute of Technology, 2022
  2. ICLR
    Adversarial Support Alignment
    Shangyuan Tong*, Timur Garipov*, Yang Zhang, Shiyu Chang, and Tommi Jaakkola
    In International Conference on Learning Representations (ICLR), 2022
    Spotlight

2021

  1. ICML Workshop
    Adversarial Support Alignment via Relaxed 1D Optimal Transport
    Shangyuan Tong*, Timur Garipov*, Yang Zhang, Shiyu Chang, and Tommi Jaakkola
    In ICML Workshop on Uncertainty & Robustness in Deep Learning, 2021

2020

  1. arXiv
    The Benefits of Pairwise Discriminators for Adversarial Training
    Shangyuan Tong*, Timur Garipov*, and Tommi Jaakkola
    arXiv preprint arXiv:2002.08621, 2020

2019

  1. DATE
    “Unobserved Corner” Prediction: Reducing Timing Analysis Effort for Faster Design Convergence in Advanced-Node Design
    Andrew B Kahng, Uday Mallappa, Lawrence Saul, and Shangyuan Tong
    In Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019
    Best Paper Award Nomination