Preserving the knowledge of long clinical texts using aggregated ensembles of large language models. - Mohammad Junayed Hasan; Suhra Noor; Mohammad Ashrafuzzaman Khan (CoRR, 2023)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation. - Mohammad Junayed Hasan; M. R. C. Mahdy (CoRR, 2023)

Shadow: A Novel Loss Function for Efficient Training in Siamese Networks. - Alif Elham Khan; Mohammad Junayed Hasan; Humayra Anjum; Nabeel Mohammed (CoRR, 2023)

DeepMarkerNet: Leveraging supervision from the Duchenne Marker for spontaneous smile recognition. - Mohammad Junayed Hasan; Kazi Rafat; Fuad Rahman 001; Nabeel Mohammed; Shafin Rahman (Pattern Recognit. Lett., 2024)

Deployable Deep Learning for Cross-Domain Plant Leaf Disease Detection via Ensemble Learning, Knowledge Distillation, and Quantization. - Mohammad Junayed Hasan; Suvodeep Mazumdar; Sifat Momen (IEEE Access, 2025)

OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization. - Mohammad Junayed Hasan; Fuad Rahman 001; Nabeel Mohammed (Int. J. Medical Informatics, 2025)

CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRI. - Mominul Islam; Mohammad Junayed Hasan; M. R. C. Mahdy (CoRR, 2025)