3 papers
math.OC2025
Learning based convex approximation for constrained parametric optimization
Kang Liu, Wei Peng, Jianchen Hu
We propose an input convex neural network (ICNN)-based self-supervised learning framework to solve continuous constrained optimization problems. By integrating the augmented Lagran…
eess.SP2024
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method
Wei Peng, Kang Liu, Jiaxi Shi +1
The electroencephalography (EEG)-based motor imagery (MI) classification is a critical and challenging task in brain-computer interface (BCI) technology, which plays a significant…
eess.IV2024
Reconstructing Visual Stimulus Images from EEG Signals Based on Deep Visual Representation Model
Hongguang Pan, Zhuoyi Li, Yunpeng Fu +2
Reconstructing visual stimulus images is a significant task in neural decoding, and up to now, most studies consider the functional magnetic resonance imaging (fMRI) as the signal…