Automated CVE Analysis: Harnessing Machine Learning In Designing Question-Answering Models For Cybersecurity Information Extraction. - Tanjim Bin Faruk (CoRR, 2024)

Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification. - Tanjim Bin Faruk (CoRR, 2024)

Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract). - Tanjim Bin Faruk; Abdul Matin; Shrideep Pallickara; Sangmi Lee Pallickara (AAAI, 2025)

TerraMAE: Learning Spatial-Spectral Representations from Hyperspectral Earth Observation Data via Adaptive Masked Autoencoders. - Tanjim Bin Faruk; Abdul Matin; Shrideep Pallickara; Sangmi Lee Pallickara (CoRR, 2025)

HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss. - Abdul Matin; Tanjim Bin Faruk; Shrideep Pallickara; Sangmi Lee Pallickara (CoRR, 2025)