Face Shape Extraction and Recognition Using 3D Morphing and Distance Mapping. - Chongzhen Zhang; Fernand S. Cohen (FG, 2000)

3-D face structure extraction and recognition from images using 3-D morphing and distance mapping. - Chongzhen Zhang; Fernand S. Cohen (IEEE Trans. Image Process., 2002)

Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview. - Yang Tang; Chaoqiang Zhao; Jianrui Wang; Chongzhen Zhang; Qiyu Sun; Feng Qian 004 (CoRR, 2020)

Monocular Depth Estimation Based On Deep Learning: An Overview. - Chaoqiang Zhao; Qiyu Sun; Chongzhen Zhang; Yang Tang; Feng Qian 004 (CoRR, 2020)

Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency. - Chaoqiang Zhao; Gary G. Yen; Qiyu Sun; Chongzhen Zhang; Yang Tang (CoRR, 2020)

Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency. - Chongzhen Zhang; Yang Tang; Chaoqiang Zhao; Qiyu Sun; Zhencheng Ye; Jürgen Kurths (CoRR, 2020)

When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey. - Chongzhen Zhang; Jianrui Wang; Gary G. Yen; Chaoqiang Zhao; Qiyu Sun; Yang Tang; Feng Qian 004; Jürgen Kurths (Patterns, 2020)

A Novel Framework Design of Network Intrusion Detection Based on Machine Learning Techniques. - Chongzhen Zhang; Yanli Chen; Yang Meng; Fangming Ruan; Runze Chen; Yidan Li; Yaru Yang (Secur. Commun. Networks, 2021)

Multitask GANs for Semantic Segmentation and Depth Completion With Cycle Consistency. - Chongzhen Zhang; Yang Tang; Chaoqiang Zhao; Qiyu Sun; Zhencheng Ye; Jürgen Kurths (IEEE Trans. Neural Networks Learn. Syst., 2021)

Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency. - Chaoqiang Zhao; Gary G. Yen; Qiyu Sun; Chongzhen Zhang; Yang Tang (IEEE Trans. Neural Networks Learn. Syst., 2021)

Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks. - Qiyu Sun; Yang Tang; Chongzhen Zhang; Chaoqiang Zhao; Feng Qian 004; Jürgen Kurths (IEEE Trans. Neural Networks Learn. Syst., 2022)

Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey. - Yang Tang; Chaoqiang Zhao; Jianrui Wang; Chongzhen Zhang; Qiyu Sun; Wei Xing Zheng 001; Wenli Du; Feng Qian 004; Jürgen Kurths (IEEE Trans. Neural Networks Learn. Syst., 2023)

FedHGL: Cross-Institutional Federated Heterogeneous Graph Learning for IoT. - Xiangyu Wei; Guorong Chen; Yongsheng Zhu; Fuqiang Hu; Chongzhen Zhang; Zhen Han 001; Wei Wang 012 (IEEE Internet Things J., 2024)

A heterogeneous transfer learning method for fault prediction of railway track circuit. - Lan Na; Baigen Cai; Chongzhen Zhang; Jiang Liu 007; Zhengjiao Li (Eng. Appl. Artif. Intell., 2025)

DMRP: Privacy-Preserving Deep Learning Model with Dynamic Masking and Random Permutation. - Chongzhen Zhang; Zhiwang Hu; Xiangrui Xu 001; Yong Liu; Bin Wang 062; Jian Shen 001; Tao Li 022; Yu Huang; Baigen Cai; Wei Wang 012 (J. Inf. Secur. Appl., 2025)

Enhancing Privacy in Distributed Intelligent Vehicles With Information Bottleneck Theory. - Xiangrui Xu 001; Pengrui Liu; Yiwen Zhao; Lei Han; Wei Wang 012; Yongsheng Zhu; Chongzhen Zhang; Bin Wang 062; Jian Shen 001; Zhen Han 001 (IEEE Internet Things J., 2025)