Hengjin Ke

According to our database, Hengjin Ke authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Deep Wavelet Temporal-Frequency Attention for nonlinear fMRI factorization in ASD.

Fengqin Wang, Hengjin Ke, Hongyin Ma, Yunbo Tang

Pattern Recognit., 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 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

2024

Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI.

Hengjin Ke, Dan Chen, Quanming Yao, Yunbo Tang, Jia Wu, Jessica Monaghan, Paul F. Sowman, David McAlpine

IEEE Trans. Comput. Biol. Bioinform., 2024

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

2022

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

2021

A lightweight solution to epileptic seizure prediction based on EEG synchronization measurement.

Shasha Zhang, Dan Chen, Rajiv Ranjan, Hengjin Ke, Yunbo Tang, Albert Y. Zomaya

J. Supercomput., 2021

Subject sensitive EEG discrimination with fast reconstructable CNN driven by reinforcement learning: A case study of ASD evaluation.

Heyou Dong, Dan Chen, Lei Zhang, Hengjin Ke, Xiaoli Li

Neurocomputing, 2021

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

2020

Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization.

Hengjin Ke, Dan Chen, Benyun Shi, Jindong Zhang, Xianzeng Liu, Xinhua Zhang, Xiaoli Li

IEEE Trans. Serv. Comput., 2020

Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN.

Hengjin Ke, Dan Chen, Tejal Shah, Xianzeng Liu, Xinhua Zhang, Lei Zhang, Xiaoli Li

Softw. Pract. Exp., 2020

2019

Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement.

Hengjin Ke, Dan Chen, Lei Zhang, Xinhua Zhang, Xianzeng Liu, Xiaoli Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

Towards Brain Big Data Classification: Epileptic EEG Identification With a Lightweight VGGNet on Global MIC.

Hengjin Ke, Dan Chen, Xiaoli Li, Yunbo Tang, Tejal Shah, Rajiv Ranjan

IEEE Access, 2018