A Many Objective-Based Feature Selection Model for Anomaly Detection in Cloud Environment. - Zhixia Zhang; Jie Wen 008; Jiangjiang Zhang; Xingjuan Cai; Liping Xie (IEEE Access, 2020)

Communication-efficient federated recommendation model based on many-objective evolutionary algorithm. - Zhihua Cui; Jie Wen 008; Yang Lan; Zhixia Zhang; Jianghui Cai (Expert Syst. Appl., 2022)

A many-objective optimization algorithm with dual criteria and mixed distribution correction strategy. - Zhixia Zhang; Jie Wen 008; Xingjuan Cai; Zhihua Cui (Concurr. Comput. Pract. Exp., 2023)

A Many-Objective Optimization Based Federal Deep Generation Model for Enhancing Data Processing Capability in IoT. - Xingjuan Cai; Yang Lan; Zhixia Zhang; Jie Wen 008; Zhihua Cui; Wensheng Zhang 002 (IEEE Trans. Ind. Informatics, 2023)

A survey on federated learning: challenges and applications. - Jie Wen 008; Zhixia Zhang; Yang Lan; Zhihua Cui; Jianghui Cai; Wensheng Zhang 002 (Int. J. Mach. Learn. Cybern., 2023)

A multi-objective sequential three-way decision approach for real-time malware detection. - Zhuoxuan Lan; Binquan Zhang; Jie Wen 008; Zhihua Cui; Xiao-Zhi Gao 001 (Appl. Intell., 2023)

A Progressive Skip Reasoning Fusion Method for Multi-Modal Classification. - Qian Guo; Xinyan Liang; Yuhua Qian; Zhihua Cui; Jie Wen 008 (ACM Multimedia, 2024)

A game theory based many-objective hybrid tensor decomposition for skin cancer prediction. - Jianghui Cai; Jinqian Yang; Jie Wen 008; Haochen Zhao; Zhihua Cui (Expert Syst. Appl., 2024)

Resource-aware multi-criteria vehicle participation for federated learning in Internet of vehicles. - Jie Wen 008; Jingbo Zhang; Zhixia Zhang; Zhihua Cui; Xingjuan Cai; Jinjun Chen (Inf. Sci., 2024)

A many-objective optimization-based local tensor factorization model for skin cancer detection. - Haochen Zhao; Jie Wen 008; Jinqian Yang; Xingjuan Cai; Chunxia Liu (Concurr. Comput. Pract. Exp., 2024)

Many-objective emergency aided decision making based on knowledge graph. - Xiaoxuan Li; Tianhao Zhao; Jie Wen 008; Xingjuan Cai (Appl. Intell., 2024)

A joint vehicular device scheduling and uncertain resource management scheme for Federated Learning in Internet of Vehicles. - Jianghui Cai; Bujia Chen; Jie Wen 008; Zhihua Cui; Jinjun Chen; Wensheng Zhang 002 (Inf. Sci., 2025)

Tensor joint framework enhanced by game-theoretic constrained optimization for skin cancer forecasting. - Jinqian Yang; Jie Wen 008; Haochen Zhao; Jianghui Cai; Xingjuan Cai (Swarm Evol. Comput., 2025)

A Fairness-Aware Resource Management Model With Many-Objective Optimization in Uncertain Resource-Constrained Internet of Vehicles. - Jianghui Cai; Bujia Chen; Mian Zhang; Jie Wen 008; Zhihua Cui; Jinjun Chen (IEEE Internet Things J., 2025)