Yongqi Jiang

According to our database, Yongqi Jiang authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ArmSSL: Adversarial Robust Black-Box Watermarking for Self-Supervised Learning Pre-trained Encoders.

Yongqi Jiang, Yansong Gao, Boyu Kuang, Chunyi Zhou, Anmin Fu, Liquan Chen

CoRR, April, 2026

Intellectual property protection for deep learning model and dataset intelligence.

Yongqi Jiang, Yansong Gao, Chunyi Zhou, Hongsheng Hu, Si Chen, Anmin Fu, Willy Susilo

Eng. Appl. Artif. Intell., 2026

2025

Time-Optimal trajectory Planning for Tool-Changing robots based on the Hybrid Search Algorithm of Sparrow-Osprey.

Yongyi Yuan, Wei Ji, Haode Fang, Hao Yuan, Shihong Ding, Yongqi Jiang, Yonggui Zha

Int. J. Robotics Autom., 2025

2024

Amplitude-Aligned Personalization and Robust Aggregation for Federated Learning.

Yongqi Jiang, Siguang Chen, Xiangwen Bao

IEEE Trans. Sustain. Comput., 2024

Intellectual Property Protection for Deep Learning Model and Dataset Intelligence.

Yongqi Jiang, Yansong Gao, Chunyi Zhou, Hongsheng Hu, Anmin Fu, Willy Susilo

CoRR, 2024

A Binary Multi-objective Grey Wolf Optimization for Feature Selection.

Yongqi Jiang, Chu Jin, Quan Zhang, Biao Hu, Zhenzhou Tang

Proceedings of the Knowledge Science, Engineering and Management, 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

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Adaptive SOSM Controller Design Based on a Fixed-Time ESO for PMSM Speed Drives.

Yincong Hu, Lu Liu, Shihong Ding, Yonggui Zha, Yongqi Jiang

Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

2022

Real-Time Efficient Trajectory Planning for Quadrotor Based on Hard Constraints.

Peng Chen, Yongqi Jiang, Yuanjie Dang, Tianwei Yu, Ronghua Liang

J. Intell. Robotic Syst., July, 2022

Double Perturbation-Based Privacy-Preserving Federated Learning against Inference Attack.

Yongqi Jiang, Yanhang Shi, Siguang Chen

Proceedings of the IEEE Global Communications Conference, 2022