A Low-complexity Structured Neural Network to Realize States of Dynamical Systems.
CoRR, March, 2025
A Low-complexity Structured Neural Network Approach to Intelligently Realize Wideband Multi-beam Beamformers.
CoRR, March, 2025
Similarity-based context aware continual learning for spiking neural networks.
Neural Networks, 2025
seUNet-Trans: A Simple Yet Effective UNet-Transformer Model for Medical Image Segmentation.
IEEE Access, 2024
A Low-Complexity LSTM Network to Realize Multibeam Beamforming.
Proceedings of the IEEE International Conference on Wireless for Space and Extreme Environments, 2024
A Comprehensive Review of Generative AI in Healthcare.
CoRR, 2023
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks.
CoRR, 2023
Deep Learning-based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment.
CoRR, 2023
A State Evaluation Method of Metal Oxide Arrester Based on EEMD-FCM.
Proceedings of the 8th International Conference on Control, Mechatronics and Automation, 2020
Corrections to "Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions".
IEEE Trans. Signal Process., 2019
Low Rank and Structured Modeling of High-Dimensional Vector Autoregressions.
IEEE Trans. Signal Process., 2019
An integrated inverse space sparse representation framework for tumor classification.
Pattern Recognit., 2019
Breast Tumor Classification Based on Decision Information Genes and Inverse Projection Sparse Representation.
CoRR, 2018