Hengjin Ke

发表

ADHD identification and its interpretation of functional connectivity using deep self-attention factorization

Hengjin Ke, Fengqin Wang, Hongying Ma, 2022, Knowl. Based Syst..

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

Hengjin Ke, Lei Zhang, Dan Chen, 2021, Neurocomputing.

Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement

Xiaoli Li, Lei Zhang, Hengjin Ke, 2019, ICANN.

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

Benyun Shi, Hengjin Ke, Jindong Zhang, 2020, IEEE Transactions on Services Computing.

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

Xiaoli Li, Tejal Shah, Hengjin Ke, 2020, Softw. Pract. Exp..

Global Epileptic Seizure Identification With Affinity Propagation Clustering Partition Mutual Information Using Cross-Layer Fully Connected Neural Network

Hengjin Ke, Fengqin Wang, Hengjin Ke, 2018, Front. Hum. Neurosci..

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

Rajiv Ranjan, Xiaoli Li, Hengjin Ke, 2018, IEEE Access.

A Shallow-Dense Network Approach to Synchronization Pattern Classification of Multivariate Epileptic EEG

Xiaoli Li, Hao Zhang, Hengjin Ke, 2017 .

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

Albert Y. Zomaya, Rajiv Ranjan, Hengjin Ke, 2020, The Journal of Supercomputing.

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

Jessica J. M. Monaghan, D. McAlpine, P. Sowman, 2023, IEEE/ACM transactions on computational biology and bioinformatics.

Interpretation of Frequency Channel-Based CNN on Depression Identification

Hengjin Ke, Jiawei Tang, Fang Hu, 2021, Frontiers in Computational Neuroscience.