Learning Ability of Interpolating Convolutional Neural Networks. - Tian-Yi Zhou 009; Xiaoming Huo (CoRR, 2022)

Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. - Namjoon Suh; Tian-Yi Zhou 009; Xiaoming Huo (ICLR, 2023)

Approximation of RKHS Functionals by Neural Networks. - Tian-Yi Zhou 009; Namjoon Suh; Guang Cheng 003; Xiaoming Huo (CoRR, 2024)

Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practice. - Tian-Yi Zhou 009; Matthew Lau; Jizhou Chen; Wenke Lee; Xiaoming Huo (CoRR, 2024)

Classification of Data Generated by Gaussian Mixture Models Using Deep ReLU Networks. - Tian-Yi Zhou 009; Xiaoming Huo (J. Mach. Learn. Res., 2024)

Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies. - Matthew Lau; Tian-Yi Zhou 009; Xiangchi Yuan; Jizhou Chen; Wenke Lee; Xiaoming Huo (CoRR, 2025)