Double Perturbation-Based Privacy-Preserving Federated Learning against Inference Attack. - Yongqi Jiang; Yanhang Shi; Siguang Chen (GLOBECOM, 2022)

Real-Time Efficient Trajectory Planning for Quadrotor Based on Hard Constraints. - Peng Chen 008; Yongqi Jiang; Yuanjie Dang; Tianwei Yu; Ronghua Liang (J. Intell. Robotic Syst., 2022)

Adaptive SOSM Controller Design Based on a Fixed-Time ESO for PMSM Speed Drives. - Yincong Hu; Lu Liu; Shihong Ding; Yonggui Zha; Yongqi Jiang (INDIN, 2024)

Finite-time Output-feedback Control for Path Following of Unmanned Agricultural Tractors. - Wenhao Yang; Jinlin Sun; Lu Liu; Gaoyong Xing; Yonggui Zha; Yongqi Jiang (INDIN, 2024)

A Binary Multi-objective Grey Wolf Optimization for Feature Selection. - Yongqi Jiang; Chu Jin; Quan Zhang; Biao Hu; Zhenzhou Tang (KSEM (2), 2024)

Intellectual Property Protection for Deep Learning Model and Dataset Intelligence. - Yongqi Jiang; Yansong Gao 001; Chunyi Zhou; Hongsheng Hu; Anmin Fu; Willy Susilo (CoRR, 2024)

Amplitude-Aligned Personalization and Robust Aggregation for Federated Learning. - Yongqi Jiang; Siguang Chen; Xiangwen Bao (IEEE Trans. Sustain. Comput., 2024)

Time-Optimal trajectory Planning for Tool-Changing robots based on the Hybrid Search Algorithm of Sparrow-Osprey. - Yongyi Yuan; Wei Ji 001; Haode Fang; Hao Yuan; Shihong Ding; Yongqi Jiang; Yonggui Zha (Int. J. Robotics Autom., 2025)