Zhongjie Shi

According to our database, Zhongjie Shi authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Distributed Composite Optimization With Distributed Composite Block Mirror Descent.

Zhan Yu, Daniel W. C. Ho, Deming Yuan, Zhongjie Shi

IEEE Trans. Autom. Control., June, 2026

Learning Theory of Transformers: Local-to-Global Approximation via Softmax Partition of Unity.

Zhongjie Shi, Wenjing Liao

CoRR, May, 2026

Immersive augmented reality-guided craniofacial surgical navigation: system architecture and feasibility study.

Zhongjie Shi, Zhengbo Yuan, Tianyi Li, Xinfeng Zhang, Xuan Wang, Jiabin Xu, Yameng Si, Zhanxiang Wang, Xin Gao

Virtual Real., March, 2026

Can Overfitted Deep Neural Networks in Adversarial Training Generalize? An Approximation Viewpoint.

Zhongjie Shi, Fanghui Liu, Yuan Cao, Johan A. K. Suykens

SIAM J. Math. Data Sci., 2026

Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs.

Zhongjie Shi, Puyu Wang, Chenyang Zhang, Yuan Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Cross-teaching with dual uncertainty awareness for semi-supervised medical image segmentation.

Qinglong Xu, Haixing Zhu, Yuan Wang, Zhongjie Shi, Weipeng Liu

Multim. Syst., October, 2025

Nonlinear functional regression by functional deep neural network with kernel embedding.

Zhongjie Shi, Jun Fan, Linhao Song, Ding-Xuan Zhou, Johan A. K. Suykens

J. Mach. Learn. Res., 2025

2024

Distributed Gradient Descent for Functional Learning.

Zhan Yu, Jun Fan, Zhongjie Shi, Ding-Xuan Zhou

IEEE Trans. Inf. Theory, September, 2024

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., January, 2023

Learning Theory of Distribution Regression with Neural Networks.

Zhongjie Shi, Zhan Yu, Ding-Xuan Zhou

CoRR, 2023

2021

Theory of deep convolutional neural networks III: Approximating radial functions.

Tong Mao, Zhongjie Shi, Ding-Xuan Zhou

Neural Networks, 2021