publications

2026

  1. Selective inference
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    Adaptive discovery of effect modification in matched observational studies
    Yu Gui, Dylan S Small, and Zhimei Ren
    arXiv preprint arXiv:2605.09741, 2026

2025

  1. Selective inference
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    ACS: An interactive framework for conformal selection
    Yu Gui*, Ying Jin*, Yash Nair*, and Zhimei Ren*
    arXiv preprint arXiv:2507.15825, 2025
  2. (Multi-modal) AI/ML
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    Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
    Yu Gui, Cong Ma, and Zongming Ma
    Advances in Neural Information Processing Systems (NeurIPS), 2025
  3. (Multi-modal) AI/ML
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    IndiSeek learns information-guided disentangled representations
    Yu Gui, Cong Ma, and Zongming Ma
    arXiv preprint arXiv:2509.21584, 2025
  4. Distribution-free UQ
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    Statistical Equilibrium of Optimistic Beliefs
    Yu Gui, and Bahar Taşkesen
    arXiv preprint arXiv:2502.09569, 2025

2024

  1. Distribution-free UQ
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    Distributionally robust risk evaluation with an isotonic constraint
    Yu Gui, Rina Foygel Barber, and Cong Ma
    Information and Inference: A Journal of IMA, to appear (2026+)
    IMS Lawrence D. Brown Ph.D. Award
  2. Selective inference
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    Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
    Yu Gui*, Ying Jin*, and Zhimei Ren*
    Advances in Neural Information Processing Systems (NeurIPS), 2024
  3. Distribution-free UQ
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    Conformal Prediction: A Data Perspective
    Xiaofan Zhou, Baiting Chen, Yu Gui, and Lu Cheng
    ACM Computing Surveys (2025)

2023

  1. Distribution-free UQ
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    Conformalized matrix completion
    Yu Gui, Rina Barber, and Cong Ma
    Advances in Neural Information Processing Systems (NeurIPS), 2023
    ICSDS travel award
  2. Distribution-free UQ
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    Conformalized survival analysis with adaptive cut-offs
    Yu Gui*, Rohan Hore*, Zhimei Ren*, and Rina Foygel Barber
    Biometrika (2023)
  3. (Multi-modal) AI/ML
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    Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage
    Yu Gui, Cong Ma, and Yiqiao Zhong
    arXiv preprint arXiv:2306.03335, 2023
    IMS Hannan Graduate Student Travel Award

2020

  1. Selective inference
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    NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks
    Xin Xing*, Yu Gui*, Chenguang Dai, and Jun S Liu
    In 2020 19th IEEE International Conference on Machine Learning and Applications , 2020
* = alphabetical ordering or equal contribution