Mitigating Catastrophic Forgetting in Robot Continual Learning: A Guided Policy Search Approach Enhanced With Memory-Aware Synapses.
IEEE Robotics Autom. Lett., December, 2024
Kalman Filter-Based One-Shot Sim-to-Real Transfer Learning.
IEEE Robotics Autom. Lett., January, 2024
Residual-Enhanced Physics-Guided Machine Learning With Hard Constraints for Subsurface Flow in Reservoir Engineering.
IEEE Trans. Geosci. Remote. Sens., 2024
FSNAP: An Ultra-Energy-Efficient Few-Spikes-Neuron Based Reconfigurable SNN Processor Enabling Unified On-Chip Learning and Accuracy-Driven Adaptive Time-Window Tuning.
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Proceedings of the IEEE Symposium on VLSI Technology and Circuits 2024, 2024
Convolutional Shrinkage Neural Networks Based Model-Agnostic Meta-Learning for Few-Shot Learning.
Neural Process. Lett., February, 2023
Deep Learning-Based Prediction of Subsurface Oil Reservoir Pressure Using Spatio-Temporal Data.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
Design and implementation of agent-based robotic system for agile manufacturing: A case study of ARIAC 2021.
Robotics Comput. Integr. Manuf., 2022
Implementation of assembly task based on guided policy search algorithm.
Proceedings of the IECON 2021, 2021
The Analysis of Resource Conflicts Based on Hawk and Dove Game in Multi-projects Management.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012
A new framework for intrusion detection based on rough set theory.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004