Theory of deep convolutional neural networks III: Approximating radial functions. - Tong Mao; Zhongjie Shi; Ding-Xuan Zhou (Neural Networks, 2021)

Learning Theory of Distribution Regression with Neural Networks. - Zhongjie Shi; Zhan Yu; Ding-Xuan Zhou (CoRR, 2023)

Risk Factors and Prediction of the Probability of Wildfire Occurrence in the China-Mongolia-Russia Cross-Border Area. - Yuheng Li; Shuxing Xu; Zhaofei Fan; Xiao Zhang; Xiaohui Yang; Shuo Wen; Zhongjie Shi (Remote. Sens., 2023)

Nonlinear functional regression by functional deep neural network with kernel embedding. - Zhongjie Shi; Jun Fan; Linhao Song; Ding-Xuan Zhou; Johan A. K. Suykens (CoRR, 2024)

Can overfitted deep neural networks in adversarial training generalize? - An approximation viewpoint. - Zhongjie Shi; Fanghui Liu 001; Yuan Cao; Johan A. K. Suykens (CoRR, 2024)

Distributed Gradient Descent for Functional Learning. - Zhan Yu; Jun Fan; Zhongjie Shi; Ding-Xuan Zhou (IEEE Trans. Inf. Theory, 2024)