Minimal data rate for quantized consensus of multi-agent systems. - Ji Ma 002; Ziqin Chen; Haibo Ji; Hongsheng Xi; Xiao Yu 002 (ASCC, 2017)

Detection of Weld Cracks Using Magneto-optical Imaging. - Xiangdong Gao; Yilong Xie; Liangliang Du; Ziqin Chen; Yaowu Song; Perry P. Gao (CASE, 2018)

Distributed Optimization of Continuous-time Multi-agent Systems over Directed Graph. - Ziqin Chen; Ji Ma 002; Xinghu Wang; Haibo Ji (ICCA, 2018)

Tree-Shaped Sampling Based Hybrid Multi-Scale Feature Extraction for Texture Classification. - Dongdong Ma; Ziqin Chen; Qingmin Liao (ICIP, 2018)

Adaptive local-fitting-based active contour model for medical image segmentation. - Dongdong Ma; Qingmin Liao; Ziqin Chen; Ran Liao; Hui Ma 003 (Signal Process. Image Commun., 2019)

Distributed Quantized Optimization Design of Continuous-Time Multiagent Systems Over Switching Graphs. - Ziqin Chen; Haibo Ji (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Exponential Convergence of Abstract Dynamics without Strong Monotonicity. - Shu Liang; Ziqin Chen; Wen Deng (ASCC, 2022)

Distributed Nash equilibrium seeking under quantization communication. - Ziqin Chen; Ji Ma 002; Shu Liang; Li Li (Autom., 2022)

Distributed aggregative optimization with quantized communication. - Ziqin Chen; Shu Liang (Kybernetika, 2022)

Locally Differentially Private Distributed Online Learning with Guaranteed Optimality. - Ziqin Chen; Yongqiang Wang (CoRR, 2023)

Locally Differentially Private Gradient Tracking for Distributed Online Learning over Directed Graphs. - Ziqin Chen; Yongqiang Wang (CoRR, 2023)

Distributed Nash equilibrium tracking via the alternating direction method of multipliers. - Ji Ma 002; Zheng Yang; Ziqin Chen (Kybernetika, 2023)

Distributed Time-Varying Convex Optimization With Dynamic Quantization. - Ziqin Chen; Peng Yi 001; Li Li 008; Yiguang Hong (IEEE Trans. Cybern., 2023)

Distributed Optimization and Learning with Automated Stepsizes. - Ziqin Chen; Yongqiang Wang (CDC, 2024)

Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy. - Ziqin Chen; Yongqiang Wang (ICML, 2024)

Privacy-Preserving Distributed Optimization and Learning. - Ziqin Chen; Yongqiang Wang (CoRR, 2024)

Quantized cooperative output regulation of continuous-time multi-agent systems over switching graph. - Ji Ma 002; Bo Yang; Jiayu Qiu; Ziqin Chen; Wenfeng Hu (Kybernetika, 2024)

Quantized Primal-Dual Algorithms for Network Optimization With Linear Convergence. - Ziqin Chen; Shu Liang; Li Li 008; Shuming Cheng (IEEE Trans. Autom. Control., 2024)

Defense for Advanced Persistent Threat with Inadvertent and Malicious Insider Threats. - Ziqin Chen; Guanpu Chen; Yiguang Hong (Unmanned Syst., 2024)

Ensuring Truthfulness in Distributed Aggregative Optimization. - Ziqin Chen; Magnus Egerstedt; Yongqiang Wang (CoRR, 2025)

Locally Differentially Private Distributed Online Learning With Guaranteed Optimality. - Ziqin Chen; Yongqiang Wang 001 (IEEE Trans. Autom. Control., 2025)

Locally Differentially Private Gradient Tracking for Distributed Online Learning Over Directed Graphs. - Ziqin Chen; Yongqiang Wang 001 (IEEE Trans. Autom. Control., 2025)

Local Differential Privacy for Distributed Stochastic Aggregative Optimization with Guaranteed Optimality. - Ziqin Chen; Yongqiang Wang (CoRR, 2025)

Local Differential Privacy for Decentralized Online Stochastic Optimization With Guaranteed Optimality and Convergence Speed. - Ziqin Chen; Yongqiang Wang 001 (IEEE Trans. Autom. Control., 2025)