Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC. - Hengjin Ke; Dan Chen 001; Xiaoli Li 002; Yunbo Tang; Tejal Shah; Rajiv Ranjan 001 (IEEE Access, 2018)

Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement. - Hengjin Ke; Dan Chen 001; Lei Zhang; Xinhua Zhang; Xianzeng Liu; Xiaoli Li 002 (ICANN (Workshop), 2019)

Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN. - Hengjin Ke; Dan Chen 001; Tejal Shah; Xianzeng Liu; Xinhua Zhang; Lei Zhang; Xiaoli Li 002 (Softw. Pract. Exp., 2020)

Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization. - Hengjin Ke; Dan Chen 001; Benyun Shi; Jindong Zhang; Xianzeng Liu; Xinhua Zhang; Xiaoli Li 002 (IEEE Trans. Serv. Comput., 2020)

Interpretation of Frequency Channel-Based CNN on Depression Identification. - Hengjin Ke; Cang Cai; Fengqin Wang; Fang Hu; Jiawei Tang; Yuxin Shi (Frontiers Comput. Neurosci., 2021)

Subject sensitive EEG discrimination with fast reconstructable CNN driven by reinforcement learning: A case study of ASD evaluation. - Heyou Dong; Dan Chen 001; Lei Zhang; Hengjin Ke; Xiaoli Li 002 (Neurocomputing, 2021)

A lightweight solution to epileptic seizure prediction based on EEG synchronization measurement. - Shasha Zhang; Dan Chen 001; Rajiv Ranjan 001; Hengjin Ke; Yunbo Tang; Albert Y. Zomaya (J. Supercomput., 2021)

ADHD identification and its interpretation of functional connectivity using deep self-attention factorization. - Hengjin Ke; Fengqin Wang; Hongying Ma; Zixian He (Knowl. Based Syst., 2022)

Unsupervised deep frequency-channel attention factorization to non-linear feature extraction: A case study of identification and functional connectivity interpretation of Parkinson's disease. - Hengjin Ke; Fengqin Wang; Hongliang Bi; Hongying Ma; Guangshuai Wang; Bo Yin (Expert Syst. Appl., 2024)

Deep Wavelet Self-Attention Non-negative Tensor Factorization for non-linear analysis and classification of fMRI data. - Fengqin Wang; Hengjin Ke; Cang Cai (Appl. Soft Comput., 2025)

Fusion of generative adversarial networks and non-negative tensor decomposition for depression fMRI data analysis. - Fengqin Wang; Hengjin Ke; Yunbo Tang (Inf. Process. Manag., 2025)

Deep Wavelet Temporal-Frequency Attention for nonlinear fMRI factorization in ASD. - Fengqin Wang; Hengjin Ke; Hongyin Ma; Yunbo Tang (Pattern Recognit., 2025)