activity
20232026
most citedGraph Neural Networks for Supply Chain Management: A Framework and Real World Benchmark

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2026

Feature-Aware Anisotropic Local Differential Privacy for Utility-Preserving Graph Representation Learning in Metal Additive Manufacturing

MD Shafikul Islam, Mahathir Mohammad Bappy, Saifur Rahman Tushar +1

Metal additive manufacturing (AM) enables the fabrication of safety-critical components, but reliable quality assurance depends on high-fidelity sensor streams containing proprieta…

cs.LG2024★ 2 cited

Graph Neural Networks for Supply Chain Management: A Framework and Real World Benchmark

Azmine Toushik Wasi, MD Shafikul Islam, Adipto Raihan Akib +1

Graph Neural Networks (GNNs) have recently gained traction in transportation, bioinformatics, language and image processing, but research on their application to supply chain manag…

cs.CL2024★ 1 cited

Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling

Azmine Toushik Wasi, Wahid Faisal, Mst Rafia Islam +1

Purpose: Bangladesh's legal system struggles with major challenges like delays, complexity, high costs, and millions of unresolved cases, which deter many from pursuing legal actio…

cs.LG2023

DP-SGD-Global-Adapt-V2-S: Triad Improvements of Privacy, Accuracy and Fairness via Step Decay Noise Multiplier and Step Decay Upper Clipping Threshold

Sai Venkatesh Chilukoti, Md Imran Hossen, Liqun Shan +4

Differentially Private Stochastic Gradient Descent (DP-SGD) has become a widely used technique for safeguarding sensitive information in deep learning applications. Unfortunately,…