Fast instance selection for speeding up support vector machines. - Jingnian Chen; Caiming Zhang 001; Xiaoping Xue 002; Cheng-Lin Liu (Knowl. Based Syst., 2013)

Misbehavior Detection Based on Support Vector Machine and Dempster-Shafer Theory of Evidence in VANETs. - Chunhua Zhang 006; Kangqiang Chen; Xin Zeng; Xiaoping Xue 002 (IEEE Access, 2018)

Group-Signature and Group Session Key Combined Safety Message Authentication Protocol for VANETs. - Chunhua Zhang 006; Xiaoping Xue 002; Lijuan Feng; Xin Zeng; Jingxiao Ma (IEEE Access, 2019)

Physical Layer Secret Key Generation Based on Autoencoder for Weakly Correlated Channels. - Jingyuan Han; Xin Zeng; Xiaoping Xue 002; Jingxiao Ma (ICCC, 2020)

Outage Constrained Secure Beamforming for IRS-Assisted Cognitive Radio Networks. - Xuewen Wu; Jingxiao Ma; Xiaoping Xue 002; Qiangqiang Cai (PIMRC, 2022)

Secure and Energy Efficient Transmission for IRS-Assisted Cognitive Radio Networks. - Xuewen Wu; Jingxiao Ma; Zhe Xing; Chenwei Gu; Xiaoping Xue 002; Xin Zeng (IEEE Trans. Cogn. Commun. Netw., 2022)

LSTM-Based Intrusion Detection System for VANETs: A Time Series Classification Approach to False Message Detection. - Yantao Yu; Xin Zeng; Xiaoping Xue 002; Jingxiao Ma (IEEE Trans. Intell. Transp. Syst., 2022)

Robust Secure Transmission Design for IRS-Assisted mmWave Cognitive Radio Networks. - Xuewen Wu; Jingxiao Ma; Chenwei Gu; Xiaoping Xue 002; Xin Zeng (IEEE Trans. Veh. Technol., 2022)

Joint beamforming for secure communication in RIS-assisted cognitive radio networks. - Xuewen Wu; Jingxiao Ma; Xiaoping Xue 002 (J. Commun. Networks, 2022)

Reliable Federated Learning with Mobility-Aware Reputation Mechanism for Internet of Vehicles. - Xing Chang; Xiaoping Xue 002; Baojing Yao; Aojie Li; Jingxiao Ma; Yantao Yu (ITSC, 2023)

User fairness-enhanced beamforming for IRS-assisted cognitive radio networks based on prior judgment mechanism. - Xuewen Wu; Jingxiao Ma; Qiangqiang Cai; Xiaoping Xue 002; Xin Zeng (Digit. Signal Process., 2023)

A trade-off strategy and correlation analysis for secrecy rate and power consumption in IRS-assisted cognitive radio networks. - Qiangqiang Cai; Jingxiao Ma; Baojing Yao; Xuewen Wu; Xiaoping Xue 002 (Phys. Commun., 2023)

Mobility-Aware Vehicle Selection Strategy for Federated Learning in the Internet of Vehicles. - Xing Chang; Mohammad S. Obaidat; Xiaoping Xue 002; Jingxiao Ma; Xiaowen Duan (CCCI, 2024)

Efficient Privacy-Preserving Edge-based Dynamic Aggregation Query Over Crowdsensed Data. - Yantao Yu; Yunguo Guan; Xiaoping Xue 002; Rongxing Lu (GLOBECOM, 2024)

Efficient Privacy-Preserving Multi-Location Task Allocation in Fog-Assisted Vehicular Crowdsourcing. - Yantao Yu; Yunguo Guan; Xiaoping Xue 002; Jingxiao Ma; Ellen Z. Zhang; Rongxing Lu (ICC, 2024)

A low-complexity ADMM-based secure beamforming for IRS-assisted uplink cognitive radio networks with NOMA. - Xuewen Wu; Jingxiao Ma; Chenbin Xu; Qiangqiang Cai; Xiaoping Xue 002; Shousheng Sun; Xing Chang (Digit. Signal Process., 2024)

Efficient Privacy-Preserving Task Allocation With Secret Sharing for Vehicular Crowdsensing. - Yantao Yu; Xiaoping Xue 002; Jingxiao Ma; Ellen Z. Zhang; Yunguo Guan; Rongxing Lu (IEEE Internet Things J., 2024)

Achieving Efficient and Privacy-Preserving Worker Selection With Arbitrary Spatial Ranges for Vehicular Crowdsensing. - Yantao Yu; Xiaoping Xue 002; Jingxiao Ma; Songnian Zhang; Yunguo Guan; Rongxing Lu (IEEE Trans. Veh. Technol., 2024)

EPTS: Efficient and Privacy-Preserving Outsourced Task Scheduling in Vehicular Crowdsourcing. - Yantao Yu; Yunguo Guan; Xiaoping Xue 002; Jingxiao Ma; Rongxing Lu (IEEE Internet Things J., 2024)

Efficient Federated Learning via Adaptive Model Pruning for Internet of Vehicles With a Constrained Latency. - Xing Chang; Mohammad S. Obaidat; Jingxiao Ma; Xiaoping Xue 002; Yantao Yu; Xuewen Wu (IEEE Trans. Sustain. Comput., 2025)

Grid-Assisted Federated Learning in Vehicular Crowdsensing: A Mobility-Aware and Probabilistic Vehicle Selection Approach. - Xing Chang; Mohammad S. Obaidat; Jingxiao Ma; Xiaoping Xue 002 (IEEE Trans. Veh. Technol., 2025)