Yiming Fei
Orcid: 0000-0001-8102-9726
According to our database1,
Yiming Fei
authored at least 17 papers
between 2021 and 2025.
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Bibliography
2025
Real-Time Progressive Learning: Accumulate Knowledge From Control With Neural-Network-Based Selective Memory.
IEEE Trans. Neural Networks Learn. Syst., August, 2025
Privacy-Aware Edge Computation Offloading With Federated Learning in Healthcare Consumer Electronics System.
IEEE Trans. Consumer Electron., May, 2025
Optimization of Persistent Excitation Level of Training Trajectories in Deterministic Learning.
IEEE Trans. Syst. Man Cybern. Syst., April, 2025
Selective Memory Recursive Least Squares: Recast Forgetting Into Memory in RBF Neural Network-Based Real-Time Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2025
OARecon: Object-Aware Viewpoint Augmentation for Indoor Compositional Reconstruction.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Memory-Enhanced Neural Network Control of Piezoelectric Actuators With a Rate-Amplitude-Dependent Hysteresis Model.
IEEE Trans. Ind. Electron., November, 2024
CLFR-M: Continual Learning Framework for Robots via Human Feedback and Dynamic Memory.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024
2023
Deterministic learning-based neural network control with adaptive phase compensation.
Neural Networks, March, 2023
Real-Time Progressive Learning: Mutually Reinforcing Learning and Control with Neural-Network-Based Selective Memory.
CoRR, 2023
2022
Selective Memory Recursive Least Squares: Uniformly Allocated Approximation Capabilities of RBF Neural Networks in Real-Time Learning.
CoRR, 2022
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022
Deterministic Learning-based Generalizable Trajectory Tracking Control for Permanent-Magnet Synchronous Motors Driven Two-Axis X-Y Table.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Linear-nonlinear Learning Feedforward Control for PMSM Based on Deterministic Learning.
Proceedings of the IEEE International Conference on Industrial Technology, 2022
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022
2021
Secur. Commun. Networks, 2021
Analysis the use of machine learning algorithm-based methods in predicting COVID-19 infection.
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021
Research on Horizontal Integration Scheme for Mass Customization Data Quantity and Quality Problem: Horizontal Integration Scheme for MC.
Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021