Publications and Preprints

Preprints

Optimal Classification-based Unsupervised Anomaly Detection with Neural Networks: Theory and Practice. (2024). Tian-Yi Zhou, Matthew Lau, Jizhou Chen, Wenke Lee, and Xiaoming Huo. Pre-print (Draft upon request).
Approximation of RKHS Functionals by Neural Networks. (2024). Tian-Yi Zhou, Namjoon Suh, Guang Cheng, and Xiaoming Huo. Pre-print. ArXiv

Classification of Unbounded Data by Gaussian Mixture Models via deep ReLU Networks (2023+). Tian-Yi Zhou and Xiaoming Huo. Journal of Machine Learning Research (JMLR). ArXiv
- ARC-ACO (Algorithms and Randomness Center) Fellowship at Georgia Tech (2023)
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
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
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