A Fuzzy Membership Model for FSVR-Based Image Coding. - Qingshan She; Zhizeng Luo; Yaping Zhu (ICNC (2), 2008)

Error Resilient Design for Transmission Control in Wireless Networks. - Qingshan She; Zhizeng Luo; Yaping Zhu (ICNC (6), 2009)

Multiple kernel learning SVM-based EMG pattern classification for lower limb control. - Qingshan She; Zhizeng Luo; Ming Meng; Ping Xu (ICARCV, 2010)

Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification. - Qingshan She; Yuliang Ma 002; Ming Meng; Zhizeng Luo (Comput. Intell. Neurosci., 2015)

Neighborhood coarse graining based Lempel-Ziv complexity for analysis on center of pressure. - Yao Sun; Wei Wei; Zhizeng Luo; Zhongming Ji (BioCAS, 2016)

Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization. - Yuliang Ma 002; Xiaohui Ding; Qingshan She; Zhizeng Luo; Tom Potter 001; Yingchun Zhang (Comput. Math. Methods Medicine, 2016)

Towards designing risk-based safe Laplacian Regularized Least Squares. - Haitao Gan; Zhizeng Luo; Yao Sun; Xugang Xi; Nong Sang; Rui Huang 001 (Expert Syst. Appl., 2016)

Towards a probabilistic semi-supervised Kernel Minimum Squared Error algorithm. - Haitao Gan; Rui Huang 001; Zhizeng Luo; Yingle Fan; Farong Gao (Neurocomputing, 2016)

A risk degree-based safe semi-supervised learning algorithm. - Haitao Gan; Zhizeng Luo; Ming Meng; Yuliang Ma 002; Qingshan She (Int. J. Mach. Learn. Cybern., 2016)

Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors. - Xugang Xi; Minyan Tang; Seyed M. Miran; Zhizeng Luo (Sensors, 2017)

Dual Learning-Based Safe Semi-Supervised Learning. - Haitao Gan; Zhenhua Li; Yingle Fan; Zhizeng Luo (IEEE Access, 2018)

Local homogeneous consistent safe semi-supervised clustering. - Haitao Gan; Yingle Fan; Zhizeng Luo; Qizhong Zhang (Expert Syst. Appl., 2018)

Safety-aware Graph-based Semi-Supervised Learning. - Haitao Gan; Zhenhua Li; Wei Wu; Zhizeng Luo; Rui Huang 001 (Expert Syst. Appl., 2018)

On using supervised clustering analysis to improve classification performance. - Haitao Gan; Rui Huang 001; Zhizeng Luo; Xugang Xi; Yunyuan Gao (Inf. Sci., 2018)

An entropy fusion method for feature extraction of EEG. - Shunfei Chen; Zhizeng Luo; Haitao Gan (Neural Comput. Appl., 2018)

Feature-Level Fusion of Surface Electromyography for Activity Monitoring. - Xugang Xi; Minyan Tang; Zhizeng Luo (Sensors, 2018)

Driving Fatigue Detection from EEG Using a Modified PCANet Method. - Yuliang Ma 002; Bin Chen; Rihui Li; Chushan Wang; Jun Wang; Qingshan She; Zhizeng Luo; Yingchun Zhang (Comput. Intell. Neurosci., 2019)

Confidence-weighted safe semi-supervised clustering. - Haitao Gan; Yingle Fan; Zhizeng Luo; Rui Huang 001; Zhi Yang 006 (Eng. Appl. Artif. Intell., 2019)

Time-Frequency-Domain Copula-Based Granger Causality and Application to Corticomuscular Coupling in Stroke. - Qingshan She; Hang Zheng; Tongcai Tan; Botao Zhang; Yingle Fan; Zhizeng Luo (Int. J. Humanoid Robotics, 2019)

A hierarchical semi-supervised extreme learning machine method for EEG recognition. - Qingshan She; Bo Hu; Zhizeng Luo; Thinh Nguyen; Yingchun Zhang (Medical Biol. Eng. Comput., 2019)

Surface Electromyography-Based Daily Activity Recognition Using Wavelet Coherence Coefficient and Support Vector Machine. - Xugang Xi; Chen Yang; Jiahao Shi; Zhizeng Luo; Yun-Bo Zhao (Neural Process. Lett., 2019)

Enhanced EEG-EMG coherence analysis based on hand movements. - Xugang Xi; Cunbin Ma; Changmin Yuan; Seyed M. Miran; Xian Hua; Yun-Bo Zhao; Zhizeng Luo (Biomed. Signal Process. Control., 2020)

Double-Criteria Active Learning for Multiclass Brain-Computer Interfaces. - Qingshan She; Kang Chen; Zhizeng Luo; Thinh Nguyen; Thomas Potter; Yingchun Zhang (Comput. Intell. Neurosci., 2020)

Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure. - Xugang Xi; Wenjun Jiang; Zhong Lü; Seyed M. Miran; Zhizeng Luo (Complex., 2020)

sEMG-MMG State-Space Model for the Continuous Estimation of Multijoint Angle. - Xugang Xi; Chen Yang; Seyed M. Miran; Yun-Bo Zhao; Shuliang Lin; Zhizeng Luo (Complex., 2020)

Facial expression distribution prediction based on surface electromyography. - Xugang Xi; Yan Zhang; Xian Hua; Seyed M. Miran; Yun-Bo Zhao; Zhizeng Luo (Expert Syst. Appl., 2020)

Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine. - Qingshan She; Jie Zou; Zhizeng Luo; Thinh Nguyen; Rihui Li; Yingchun Zhang (Medical Biol. Eng. Comput., 2020)

Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network. - Xugang Xi; Wenjun Jiang; Seyed M. Miran; Xian Hua; Yun-Bo Zhao; Chen Yang; Zhizeng Luo (Neural Comput., 2020)

Construction and analysis of cortical-muscular functional network based on EEG-EMG coherence using wavelet coherence. - Xugang Xi; Ziyang Sun; Xian Hua; Changmin Yuan; Yun-Bo Zhao; Seyed M. Miran; Zhizeng Luo; Zhong Lü (Neurocomputing, 2021)

Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification. - Qingshan She; Jie Zou; Ming Meng; Yingle Fan; Zhizeng Luo (Int. J. Mach. Learn. Cybern., 2021)

Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network. - Wenguo Li; Zhizeng Luo; Yan Jin; Xugang Xi (Sensors, 2021)

A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition. - Ming Meng; Jiahao Hu; Yunyuan Gao; Wanzeng Kong; Zhizeng Luo (Biomed. Signal Process. Control., 2022)

ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation. - Yuliang Ma 002; Liping Wu; Yunyuan Gao; Farong Gao; Jianhai Zhang; Zhizeng Luo (IEEE J. Biomed. Health Informatics, 2023)

Application of a multi-source multi-task weight adaptation framework for cross-domain EEG emotion recognition(MS-MWA). - Yijun Zhu; Yuliang Ma 002; Ming Meng; Zhizeng Luo; Yunyuan Gao; Mingxu Sun (Signal Image Video Process., 2024)

Research on the effects of Superimposed functional electrical stimulation on motor imagery in motor rehabilitation. - Li Wenyu; Zhizeng Luo (Biomed. Signal Process. Control., 2025)

Multi-domain feature analysis of MI-EEG signals using tensor train decomposition and projected gradient Non-negative Matrix Factorization. - Yunyuan Gao; Wang Xie; Zhizeng Luo; Michael Houston; Yingchun Zhang (Neurocomputing, 2025)