publications

2025

  1. ICLR
    Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
    Sichen Zhu*, Yuchen Zhu*, Molei Tao, and Peng Qiu
    International Conference on Learning Representations (ICLR), 2025
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  2. ICLR
    Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
    Yuchen Zhu*, Tianrong Chen*, Lingkai Kong, Evangelos Theodorou, and Molei Tao
    International Conference on Learning Representations (ICLR), 2025
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  3. arXiv
    Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
    Yinuo Ren*, Haoxuan Chen*, Yuchen Zhu*, Wei Guo*, Yongxin Chen, Grant M Rotskoff, Molei Tao, and Lexing Ying
    ICLR FPI Workshop, 2025
    Long version under review
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2024

  1. arXiv
    Plug-and-Play Controllable Generation for Discrete Masked Models
    Wei Guo*, Yuchen Zhu*, Molei Tao, and Yongxin Chen
    Preprint, 2024
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  2. arXiv
    Deep Learning Algorithms for Mean Field Optimal Stopping in Finite Space and Discrete Time
    Yuchen Zhu*, Lorenzo Magnino*, and Mathieu Lauriere
    Preprint, 2024
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  3. arXiv
    Competitive Reinforcement Learning when Minimax Theorem Does Not Hold: Multi-Objective Markov Games, Multi-Calibration, and Beyond
    Jingchu Gai, Yuchen Zhu, Chuanhao Li, Shuang Qiu, and Zhuoran Yang
    Preprint, 2024
  4. arXiv
    Quantum Generation with Structure Preserving Diffusion Model
    Yuchen Zhu, Tianrong Chen, Evangelos A Theodorou, Xie Chen, and Molei Tao
    Preprint, 2024
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  5. arXiv
    A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization
    Yuchen Zhu, Yufeng Zhang, Zhaoran Wang, Zhuoran Yang, and Xiaohong Chen
    Preprint, 2024
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  6. ESAIM
    Deep Learning for Mean Field Optimal Transport
    Sebastian Baudelet†, Brieuc Frenais†, Mathieu Lauriere†, Amal Machtalay†, and Yuchen Zhu†
    ESAIM: PROCEEDINGS AND SURVEYS 77, 2024
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