Publications

Research in information theory, generative modeling, and statistical learning.

2026

  1. arXiv
    One-Step Generative Modeling via Unbalanced Optimal Transport
    Yirong Shen, Mengfei Xia, Junpeng Jing, and 2 more authors
    arXiv preprint arXiv:2609.32708, Sep 2026
  2. ICML
    Rényi Diffusion Models
    Yirong Shen, Lu Gan, and Cong Ling
    In Proceedings of the 43rd International Conference on Machine Learning, Jul 2026
  3. ISIT
    Smoothing Linear Codes by Rényi Divergence and Applications to Security Reduction
    Hao Yan, Yirong Shen, and Cong Ling
    In 2026 IEEE International Symposium on Information Theory (ISIT), Jun 2026

2025

  1. NeurIPS
    Information Theoretic Learning for Diffusion Models with Warm Start
    Yirong Shen, Lu Gan, and Cong Ling
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), Dec 2025
  2. ISIT
    Generalized Score Matching: Bridging f-Divergence and Statistical Estimation Under Correlated Noise
    Yirong Shen, Lu Gan, and Cong Ling
    In 2025 IEEE International Symposium on Information Theory (ISIT), Jun 2025