Optimal learning rates for distribution regression. - Zhiying Fang; Zheng-Chu Guo; Ding-Xuan Zhou (J. Complex., 2020)

Theory of deep convolutional neural networks II: Spherical analysis. - Zhiying Fang; Han Feng; Shuo Huang 003; Ding-Xuan Zhou (Neural Networks, 2020)

Towards Understanding the Spectral Bias of Deep Learning. - Yuan Cao 006; Zhiying Fang; Yue Wu; Ding-Xuan Zhou; Quanquan Gu (IJCAI, 2021)

Optimal Learning Rates of Deep Convolutional Neural Networks: Additive Ridge Functions. - Zhiying Fang; Guang Cheng 003 (CoRR, 2022)

Attention Enables Zero Approximation Error. - Zhiying Fang; Yidong Ouyang; Ding-Xuan Zhou; Guang Cheng 003 (CoRR, 2022)

Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions. - Zhiying Fang; Guang Cheng 003 (Trans. Mach. Learn. Res., 2023)

Generalization analysis of deep CNNs under maximum correntropy criterion. - Yingqiao Zhang; Zhiying Fang; Jun Fan (Neural Networks, 2024)

Learning Korobov Functions by Correntropy and Convolutional Neural Networks. - Zhiying Fang; Tong Mao; Jun Fan (Neural Comput., 2024)