Publications and Preprints

Deep Learning Theory

  • Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice in Cybersecurity (2024+).
    Tian-Yi Zhou*, Matthew Lau*, Jizhou Chen, Wenke Lee, and Xiaoming Huo.
    Submitted. ArXiv

  • Approximation of RKHS Functionals by Neural Networks (2024+).
    Tian-Yi Zhou, Namjoon Suh, Guang Cheng, and Xiaoming Huo.
    Under Revision at Journal of Machine Learning Research (JMLR). ArXiv

  • Classification of Unbounded Data generated by Gaussian Mixture Models via deep ReLU Networks (2024).
    Tian-Yi Zhou and Xiaoming Huo.
    Journal of Machine Learning Research (JMLR). Paper Link
    • ARC-ACO (Algorithms and Randomness Center) Fellowship at Georgia Tech (2023)
  • Learning Ability of Interpolating Deep Convolutional Neural Networks (2023).
    Tian-Yi Zhou and Xiaoming Huo.
    Applied and Computational Harmonic Analysis (ACHA). Paper Link
    • Second Place, The 13th American Institute of Mathematical Sciences (AIMS) Conference Student Paper Competition (2023)
    • Selected to present at Association for Women in Mathematics (AWM) Research Symposium (2023) (1 out of 35 female PhD students selected nationwide)
    • Runner-up, Alice and John Jarvis Ph.D. student paper competition at Georgia Tech (2022)
  • Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks (2023).
    Namjoon Suh, Tian-Yi Zhou, and Xiaoming Huo.
    ICLR 2023. Paper Link

Computational Sociology

  • Drink like a Man? Modified Poisson Analysis of Adolescent Binge Drinking in the US, 1976–2022 (2024+).
    Jiaxin Gu, Minheng Chen, Xin Guo, Yushu Zhu, Tian-Yi Zhou, Yue Yuan, and Qiang Fu.
    Under Revision at Social Science & Medicine.

  • Gone with the Weed: Incidents of Adolescent Marijuana Use in the United States, 1976-2021 (2023).
    Jiaxin Gu, Xin Guo, Xiaoxi Liu, Yue Yuan, Yushu Zhu, Minheng Chen, Tian-Yi Zhou, and Qiang Fu.
    Annals of Epidemiology. Paper Link

  • Modified Poisson regression analysis of grouped and right‐censored counts (2021).
    Qiang Fu, Tian-Yi Zhou, and Xin Guo.
    Journal of the Royal Statistical Society: Series A (Statistics in Society). Paper Link