Multi-Level Two-Sided Rating Protocol Design for Service Exchange Contest Dilemma in Crowdsensing. - Jianfeng Lu 002; Shasha Yang 001; Zhao Zhang 002; Jianmin Han; Hao Peng 002; Zhao-Long Hu; Tian Wang 001 (IEEE Access, 2019)

Online Task Allocation in Mobile Crowdsensing with Sweep Coverage and Stability Control. - Jiaang Duan; Shasha Yang 001; Jianfeng Lu 002; Wenchao Jiang; Haibo Liu; Shuo Zhang (ML4CS (2), 2020)

Multi-term Multi-task Allocation for Mobile Crowdsensing with Weighted Max-Min Fairness. - Haibo Liu; Wenchao Jiang; Shasha Yang 001; Jianfeng Lu 002; Dongjun Ning (ML4CS (2), 2020)

Max-Min Fairness Multi-task Allocation in Mobile Crowdsensing. - Shasha Yang 001; Wenchao Jiang; Jiaang Duan; Zhengjie Huang; Jianfeng Lu 002 (ML4CS (2), 2020)

Incentivizing fairness-aware task allocation in mobile crowdsensing with sweep coverage and stability control. - Jiaang Duan; Jianfeng Lu 002; Wenchao Jiang; Shasha Yang 001 (Appl. Soft Comput., 2020)

An Improved Genetic Algorithm for Safety and Availability Checking in Cyber-Physical Systems. - Zheng Wang 061; Yanan Jin; Shasha Yang 001; Jianmin Han; Jianfeng Lu 002 (IEEE Access, 2021)

FedBoost: Bayesian Estimation Based Client Selection for Federated Learning. - Yuhang Sheng; Lingguo Zeng; Shuqin Cao; Qing Dai; Shasha Yang 001; Jianfeng Lu 002 (IEEE Access, 2024)

Contribution Matching-Based Hierarchical Incentive Mechanism Design for Crowd Federated Learning. - Hangjian Zhang; Yanan Jin; Jianfeng Lu 002; Shuqin Cao; Qing Dai; Shasha Yang 001 (IEEE Access, 2024)

RATE: Game-Theoretic Design of Sustainable Incentive Mechanism for Federated Learning. - Bing Li 014; Jianfeng Lu 002; Shuqin Cao; Lijuan Hu; Qing Dai; Shasha Yang 001; Zhiwei Ye (IEEE Internet Things J., 2025)