Yuliang Ma

According to our database, Yuliang Ma authored at least 19 papers between 2015 and 2024.

Collaborative distances:

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

2024

Application of a multi-source multi-task weight adaptation framework for cross-domain EEG emotion recognition(MS-MWA).

Yijun Zhu, Yuliang Ma, Ming Meng, Zhizeng Luo, Yunyuan Gao, Mingxu Sun

Signal Image Video Process., December, 2024

LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation.

Songkai Sun, Qingshan She, Yuliang Ma, Rihui Li, Yingchun Zhang

CoRR, 2024

2023

ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation.

Yuliang Ma, Liping Wu, Yunyuan Gao, Farong Gao, Jianhai Zhang, Zhizeng Luo

IEEE J. Biomed. Health Informatics, June, 2023

Cross-subject EEG emotion recognition using multi-source domain manifold feature selection.

Qingshan She, Xinsheng Shi, Feng Fang, Yuliang Ma, Yingchun Zhang

Comput. Biol. Medicine, June, 2023

EEG-based emotion recognition with cascaded convolutional recurrent neural networks.

Ming Meng, Yu Zhang, Yuliang Ma, Yunyuan Gao, Wanzeng Kong

Pattern Anal. Appl., May, 2023

Single image super-resolution based on multi-scale dense attention network.

Farong Gao, Yong Wang, Zhangyi Yang, Yuliang Ma, Qizhong Zhang

Soft Comput., March, 2023

Multi-Source geometric metric transfer learning for EEG classification.

Xianxiong Zhang, Qingshan She, Tongcai Tan, Yunyuan Gao, Yuliang Ma, Jianhai Zhang

Biomed. Signal Process. Control., March, 2023

Multisource Associate Domain Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition.

Qingshan She, Chenqi Zhang, Feng Fang, Yuliang Ma, Yingchun Zhang

IEEE Trans. Instrum. Meas., 2023

Continuous estimation of multi-DOF movement from sEMG based on non-negative matrix factorization and L2 regulation.

Ming Meng, Guangqian Zhou, Yuliang Ma, Xugang Xi

Medical Biol. Eng. Comput., 2023

2022

A new feature selection approach for driving fatigue EEG detection with a modified machine learning algorithm.

Yun Zheng, Yuliang Ma, Jared Cammon, Songjie Zhang, Jianhai Zhang, Yingchun Zhang

Comput. Biol. Medicine, 2022

2021

Transfer of semi-supervised broad learning system in electroencephalography signal classification.

Yukai Zhou, Qingshan She, Yuliang Ma, Wanzeng Kong, Yingchun Zhang

Neural Comput. Appl., 2021

EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function.

Ziwu Ren, Rihui Li, Bin Chen, Hongmiao Zhang, Yuliang Ma, Chushan Wang, Ying Lin, Yingchun Zhang

Frontiers Neurorobotics, 2021

2020

Retinal Vessel Segmentation by Deep Residual Learning with Wide Activation.

Yuliang Ma, Xue Li, Xiaopeng Duan, Yun Peng, Yingchun Zhang

Comput. Intell. Neurosci., 2020

2019

Generalization improvement for regularized least squares classification.

Haitao Gan, Qingshan She, Yuliang Ma, Wei Wu, Ming Meng

Neural Comput. Appl., 2019

Driving Fatigue Detection from EEG Using a Modified PCANet Method.

Yuliang Ma, Bin Chen, Rihui Li, Chushan Wang, Jun Wang, Qingshan She, Zhizeng Luo, Yingchun Zhang

Comput. Intell. Neurosci., 2019

2018

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.

Qingshan She, Kang Chen, Yuliang Ma, Thinh Nguyen, Yingchun Zhang

Comput. Intell. Neurosci., 2018

2016

A risk degree-based safe semi-supervised learning algorithm.

Haitao Gan, Zhizeng Luo, Ming Meng, Yuliang Ma, Qingshan She

Int. J. Mach. Learn. Cybern., 2016

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization.

Yuliang Ma, Xiaohui Ding, Qingshan She, Zhizeng Luo, Tom Potter, Yingchun Zhang

Comput. Math. Methods Medicine, 2016

2015

Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.

Qingshan She, Yuliang Ma, Ming Meng, Zhizeng Luo

Comput. Intell. Neurosci., 2015