Favour Ekong

PhD student, Department of Information and Communication Technology, Griffith University

Joined

May 2026

Names

Favour Ekong (Preferred)

Emails

****@griffithuni.edu.au (Confirmed)

****@gmail.com (Confirmed)

****@griffithuni.edu.au (Confirmed)

****@std.uestc.edu.cn

Personal Links

Career & Education History

PhD student

Department of Information and Communication Technology, Griffith University (griffithuni.edu.au)

Present

MS student

Department of Information and Software Engineering, University of Electronic Science and Technology of China (uestc.edu.cn)

2019 – 2021

Undergrad student

Department of Information and Software Engineering, University of Electronic Science and Technology of China (uestc.edu.cn)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Jun Zhou

Present

Coauthor

Mohammad Aminul Islam

Present

Coauthor

Jing Wang

Present

PhD Advisor

Yongsheng Gao

Present

Coauthor

Edwin Kwadwo Tenagyei

Present

Coauthor

Rutherford Agbeshi Patamia

Present

Coauthor

Kwabena Sarpong

Present

Expertise

Medical imaging

Computer Vision

Artificial Intelligence

Hyperspectral Imaging

Deep Learning

Data Mining

2015 – 2026

Publications

Pixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification
F Ekong, J Zhou, K Sarpong, Y Gao
- 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Readers: Everyone
Distance Learning-Based Prototypical Network With Multi-Domain Adaptation for Few-Shot Hyperspectral Medical Image Classification
F Ekong, J Zhou, J Wang, M A Islam, Y Gao
- IEEE Journal of Biomedical and Health Informatics
- Readers: Everyone
Hyperspectral image classification using Second-Order Pooling with Graph Residual Unit Network
K Sarpong, Z Qin, R Ssemwogerere, R A Patamia, A M Khamis, E O Gyamfi, F Ekong, C C Ukwuoma
- Expert Systems With Applications
- Readers: Everyone
Multimodal Speech Emotion Recognition Using Modality-Specific Self-Supervised Frameworks
R A Patamia, P E Santos, K N Acheampong, F Ekong, K Sarpong, S Kun
- Conference proceedings / IEEE International Conference on Systems, Man, and Cybernetics. IEEE International Conference on Systems, Man, and Cybernetics
- Readers: Everyone
Joint Spatial Similarity-based Attention for Retina Vessel Segmentation with Super Resolution Encoding
F Ekong, Y Yu, R A Patamia, K Sarpong, C C Ukwuoma, J Cai
- 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning Prml 2023
- Readers: Everyone
Semi-Supervised Semantic Segmentation in Remote Sensing Images Using Active Learning and Deep Global Second Order Pooling Network
K Sarpong, Z Qin, D Addo, R A Patamia, F Ekong, A M Khamis
- 2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing Iccwamtip 2023
- Readers: Everyone
EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images
D Addo, S Zhou, J K Jackson, G U Nneji, H N Monday, K Sarpong, R A Patamia, F Ekong, C A Owusu-Agyei
- Diagnostics
- Readers: Everyone
Bayesian Depth-Wise Convolutional Neural Network Design for Brain Tumor MRI Classification
Favour Ekong, Yongbin Yu, Rutherford Agbeshi Patamia, Xiao Feng, Qian Tang, Pinaki Mazumder, Jingye Cai
- Diagnostics
- Readers: Everyone
Parallelistic Convolution Neural Network Approach for Brain Tumor Diagnosis
G T Mgbejime, M A Hossin, G U Nneji, H N Monday, F Ekong
- Diagnostics
- Readers: Everyone
Masked hybrid attention with Laplacian query fusion and tripartite sequence matching for medical image segmentation
Favour Ekong, Yongbin Yu, Rutherford Agbeshi Patamia, Kwabena Sarpong, Chiagoziem Chima Ukwuoma, Xiangxiang Wang, Akpanika Robert Ukot, Jingye Cai
- Neural Comput. Appl. 2025
- Readers: Everyone

View all 23 publications

Co-Authors

View all 71 co-authors