Hengjin Ke

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Wavelet Self-Attention Non-negative Tensor Factorization for non-linear analysis and classification of fMRI data.
Appl. Soft Comput.
Fengqin Wang, Hengjin Ke, Cang Cai
2025 J jnl
Deep Wavelet Temporal-Frequency Attention for nonlinear fMRI factorization in ASD.
Pattern Recognit.
Fengqin Wang, Hengjin Ke, Hongyin Ma, Yunbo Tang
2025 J jnl
Fusion of generative adversarial networks and non-negative tensor decomposition for depression fMRI data analysis.
Inf. Process. Manag.
Fengqin Wang, Hengjin Ke, Yunbo Tang
2024 J jnl
Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI.
IEEE Trans. Comput. Biol. Bioinform.
Hengjin Ke, Dan Chen, Quanming Yao, Yunbo Tang, Jia Wu, Jessica Monaghan, Paul F. Sowman, David McAlpine
2024 J jnl
Unsupervised deep frequency-channel attention factorization to non-linear feature extraction: A case study of identification and functional connectivity interpretation of Parkinson's disease.
Expert Syst. Appl.
Hengjin Ke, Fengqin Wang, Hongliang Bi, Hongying Ma, Guangshuai Wang, Bo Yin
2022 J jnl
ADHD identification and its interpretation of functional connectivity using deep self-attention factorization.
Knowl. Based Syst.
Hengjin Ke, Fengqin Wang, Hongying Ma, Zixian He
2021 J jnl
A lightweight solution to epileptic seizure prediction based on EEG synchronization measurement.
J. Supercomput.
Shasha Zhang, Dan Chen, Rajiv Ranjan, Hengjin Ke, Yunbo Tang, Albert Y. Zomaya
2021 J jnl
Interpretation of Frequency Channel-Based CNN on Depression Identification.
Frontiers Comput. Neurosci.
Hengjin Ke, Cang Cai, Fengqin Wang, Fang Hu, Jiawei Tang, Yuxin Shi
2021 J jnl
Subject sensitive EEG discrimination with fast reconstructable CNN driven by reinforcement learning: A case study of ASD evaluation.
Neurocomputing
Heyou Dong, Dan Chen, Lei Zhang, Hengjin Ke, Xiaoli Li
2020 J jnl
Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN.
Softw. Pract. Exp.
Hengjin Ke, Dan Chen, Tejal Shah, Xianzeng Liu, Xinhua Zhang, Lei Zhang, Xiaoli Li
2020 J jnl
Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization.
IEEE Trans. Serv. Comput.
Hengjin Ke, Dan Chen, Benyun Shi, Jindong Zhang, Xianzeng Liu, Xinhua Zhang, Xiaoli Li
2019 — conf
Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement.
ICANN (Workshop)
Hengjin Ke, Dan Chen, Lei Zhang, Xinhua Zhang, Xianzeng Liu, Xiaoli Li
2018 J jnl
Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC.
IEEE Access
Hengjin Ke, Dan Chen, Xiaoli Li, Yunbo Tang, Tejal Shah, Rajiv Ranjan