Privacy Preserving Average Consensus with Different Privacy Guarantee. - Xin Wang 044; Jianping He 001; Peng Cheng 001; Jiming Chen 001 (ACC, 2018)

Differential Privacy-preserving Distributed Machine Learning. - Xin Wang 044; Hideaki Ishii; Linkang Du; Peng Cheng 001; Jiming Chen 001 (CDC, 2019)

Differentially Private Maximum Consensus: Design, Analysis and Impossibility Result. - Xin Wang 044; Jianping He 001; Peng Cheng 001; Jiming Chen 001 (IEEE Trans. Netw. Sci. Eng., 2019)

Privacy Preserving Collaborative Computing: Heterogeneous Privacy Guarantee and Efficient Incentive Mechanism. - Xin Wang 044; Jianping He 001; Peng Cheng 001; Jiming Chen 001 (IEEE Trans. Signal Process., 2019)

A Novel Pseudonym Linking Scheme for Privacy Inference in VANETs. - Rui Zhang 080; Xin Wang 044; Peng Cheng 001; Jiming Chen 001 (VTC Spring, 2020)

Privacy-Preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation. - Xin Wang 044; Hideaki Ishii; Linkang Du; Peng Cheng 001; Jiming Chen 001 (IEEE Trans. Signal Process., 2020)

Dynamic Privacy-Aware Collaborative Schemes for Average Computation: A Multi-Time Reporting Case. - Xin Wang 044; Hideaki Ishii; Jianping He 001; Peng Cheng 001 (IEEE Trans. Inf. Forensics Secur., 2021)

Stealthy Attack Detection for Privacy-preserving Real-time Pricing in Smart Grids. - Fazong Wu; Xin Wang 044; Ming Yang 023; Heng Zhang 001; Xiaoming Wu; Jia Yu 003 (ASCC, 2022)

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data. - Ming Yang 023; Yanhan Wang; Xin Wang 044; Zhenyong Zhang; Xiaoming Wu; Peng Cheng 001 (CoRR, 2022)

Energy-efficient DoS attack against remote state estimation. - Ruimeng Gan; Yangyang Wang; Zhe Xiao; Heng Zhang 001; Xin Wang 044; Ming Yang 023 (Internet Technol. Lett., 2022)

Impact Analysis of Moving Target Defense on the Small-Signal Stability in Power Systems. - Bingdong Wang; Junjie Song; Liang Wan; Youliang Tian; Xin Wang 044; Zhenyong Zhang (ICPS, 2023)

Leveraging UAV-RIS Reflects to Improve the Security Performance of Wireless Network Systems. - Jianwei Sun; Heng Zhang 001; Xin Wang 044; Ming Yang 023; Jian Zhang 082; Hongran Li; Chenglong Gong (IEEE Netw. Lett., 2023)

Wind Speed Prediction Based on Error Compensation. - Xuguo Jiao; Daoyuan Zhang; Xin Wang 044; Yanbing Tian; Wenfeng Liu; Liping Xin (Sensors, 2023)

Resilient Distributed Classification Learning Against Label Flipping Attack: An ADMM-Based Approach. - Xin Wang 044; Chongrong Fang; Ming Yang 023; Xiaoming Wu; Heng Zhang 001; Peng Cheng 001 (IEEE Internet Things J., 2023)

Achieving Physical Layer Security Against Location Unknown Eavesdroppers via Friendly Jammer. - Heng Zhang 001; Jianwei Sun; Xin Wang 044; Chenglong Gong (IEEE CAA J. Autom. Sinica, 2023)

FedTweet: Two-fold Knowledge Distillation for non-IID Federated Learning. - Yanhan Wang; Wenting Wang; Xin Wang 044; Heng Zhang 001; Xiaoming Wu; Ming Yang 023 (Comput. Electr. Eng., 2024)

Data pricing with privacy loss compensation for cyber-physical systems: A Stackelberg game based approach. - Ming Yang 023; Honglin Feng; Xin Wang 044; Xiaoming Wu; Yunfei Wang; Chuanxu Ren (Internet Technol. Lett., 2024)

Privacy-Preserving Collaborative Learning: A Scheme Providing Heterogeneous Protection. - Xin Wang 044; Heng Zhang 001; Ming Yang 023; Xiaoming Wu; Peng Cheng 001 (IEEE Internet Things J., 2024)

Neural Network-Based State Estimation for Nonlinear Systems with Denial-of-Service Attack Under Try-Once-Discard Protocol. - Xueli Wang; Shangwei Zhao; Ming Yang 023; Xin Wang 044; Xiaoming Wu (IEEE CAA J. Autom. Sinica, 2024)

FedSiam-DA: Dual-Aggregated Federated Learning via Siamese Network for Non-IID Data. - Xin Wang 044; Yanhan Wang; Ming Yang 023; Feng Li 002; Xiaoming Wu; Lisheng Fan; Shibo He (IEEE Trans. Mob. Comput., 2025)

FDTA: A Value-Guaranteed Fair Data Trading Approach With a Three-Stage Stackelberg Game. - Junyan Zhu; Zhenyong Zhang; Bingdong Wang; Kuan Shao; Zheqiu Hetu; Xin Wang 044 (IEEE Internet Things J., 2025)

An adaptive length-variation based evolutionary multitasking algorithm for feature selection of high-dimensional classification. - Lingjie Li; Yuze Zhang; Zhijiao Xiao; Qiuzhen Lin; Xin Wang 044; Xiuqiang He 002; Zhong Ming 001 (Expert Syst. Appl., 2026)