Emotion Recognition with the Feature extracted from brain Networks. - Cunbo Li; Peiyang Li; Lin Jiang 004; Xuyang Zhu; Yajing Si; Ying Zeng; Dezhong Yao 001; Peng Xu 001 (CIVEMSA, 2019)

Separated channel convolutional neural network to realize the training free motor imagery BCI systems. - Xuyang Zhu; Peiyang Li; Cunbo Li; Dezhong Yao 001; Rui Zhang 018; Peng Xu 001 (Biomed. Signal Process. Control., 2019)

Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy. - Dennis Joe Harmah; Cunbo Li; Fali Li; Yuanyuan Liao; Jiuju Wang; Walid Mohammed Ahmed Ayedh; Joyce Chelangat Bore; Dezhong Yao 001; Wentian Dong; Peng Xu 001 (Frontiers Comput. Neurosci., 2019)

EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations. - Peiyang Li; Huan Liu; Yajing Si; Cunbo Li; Fali Li; Xuyang Zhu; Xiaoye Huang; Ying Zeng; Dezhong Yao 001; Yangsong Zhang; Peng Xu 001 (IEEE Trans. Biomed. Eng., 2019)

Robust brain causality network construction based on Bayesian multivariate autoregression. - Peiyang Li; Xiaoye Huang; Xuyang Zhu; Cunbo Li; Huan Liu; Weiwei Zhou; Joyce Chelangat Bore; Tao Zhang 017; Yangsong Zhang; Dezhong Yao 001; Peng Xu 001 (Biomed. Signal Process. Control., 2020)

Separated Channel Attention Convolutional Neural Network (SC-CNN-Attention) to Identify ADHD in Multi-Site Rs-fMRI Dataset. - Tao Zhang 017; Cunbo Li; Peiyang Li; Yueheng Peng; Xiaodong Kang; Chenyang Jiang; Fali Li; Xuyang Zhu; Dezhong Yao 001; Bharat B. Biswal; Peng Xu 001 (Entropy, 2020)

Predicting individual decision-making responses based on single-trial EEG. - Yajing Si; Fali Li; Keyi Duan; Qin Tao; Cunbo Li; Zehong Cao; Yangsong Zhang; Bharat B. Biswal; Peiyang Li; Dezhong Yao 001; Peng Xu 001 (NeuroImage, 2020)

Multimodal collaborative BCI system based on the improved CSP feature extraction algorithm. - Cunbo Li; Ning Li 030; Yuan Qiu 010; Yueheng Peng; Yifeng Wang; Lili Deng; Teng Ma; Fali Li; Dezhong Yao 001; Peng Xu 001 (Virtual Real. Intell. Hardw., 2022)

A novel robust Student's t-based Granger causality for EEG based brain network analysis. - Xiaohui Gao; Weijie Huang; Yize Liu; Yinuo Zhang; Jiamin Zhang; Cunbo Li; Joyce Chelangat Bore; Zhenyu Wang; Yajing Si; Yin Tian; Peiyang Li (Biomed. Signal Process. Control., 2023)

A Wearable Master-Slave Rehabilitation Robot Based on an Epidermal Array Electrode Sleeve and Multichannel Electromyography Network. - Xiabing Zhang; Xiaoyi Mo; Cunbo Li; Fali Li; Jing Jin; Ping Xie; Guang Yao; Yuan Lin; Dezhong Yao 001; Peng Xu 001 (Adv. Intell. Syst., 2023)

A Novel Robust Sparse Granger Causality Inference Method and Its Application in MI EEG. - Pengcheng Zhu; Cunbo Li; Peiyang Li; Fali Li; Dezhong Yao 001; Peng Xu 001 (CIVEMSA, 2024)

Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks. - Cunbo Li; Peiyang Li; Yangsong Zhang; Ning Li 030; Yajing Si; Fali Li; Zehong Cao; Huafu Chen; Badong Chen; Dezhong Yao 001; Peng Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification. - Peiyang Li; Xiaohui Gao; Cunbo Li; Chanlin Yi; Weijie Huang; Yajing Si; Fali Li; Zehong Cao; Yin Tian; Peng Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition. - Cunbo Li; Peiyang Li; Zhaojin Chen; Lei Yang; Fali Li; Feng Wan; Zehong Cao; Dezhong Yao 001; Bao-Liang Lu; Peng Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Robust Supervised Graph Embedding Method For EEG-Based Brain Network Emotion Recognition. - Pengcheng Zhu; Cunbo Li; Peiyang Li; Fali Li; Dezhong Yao 001; Peng Xu 001 (ICASSP, 2025)

An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network. - Cunbo Li; Tian Tang; Yue Pan; Lei Yang; Shuhan Zhang; Zhaojin Chen; Peiyang Li; Dongrui Gao; Huafu Chen; Fali Li; Dezhong Yao 001; Zehong Cao; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)