most citedAQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditions

9 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Spectral Initialization and Scheduled Graph Smoothness for Uncertain Knowledge Graph Completion

Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1

Uncertain knowledge graphs (UKGs) extend knowledge graphs by assigning each triple a continuous confidence score. Since most possible triples lack observed confidences, recent meth…

cs.LG2026

RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection

Taufikur Rahman Fuad, Md Abrar Jahin, Amir Hussain

Zero-shot graph anomaly detection seeks to deploy a detector trained on source graphs to unseen, unlabeled targets, yet domain shift can make source-derived notions of normality un…

cs.LG2026

ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs

Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1

Dynamic graph representation learning requires capturing both structural relations and temporal evolution, yet existing approaches face a core trade-off: attention-based methods of…

cs.LG2025

AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing

Md Abrar Jahin, Taufikur Rahman Fuad, M. F. Mridha +2

Federated Learning (FL) faces inherent challenges in balancing model performance, privacy preservation, and communication efficiency, especially in non-IID decentralized environmen…

cs.CV2025★ 9 cited

AQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditions

Taufikur Rahman Fuad, Sabbir Ahmed, Shahriar Ivan

Robust visual recognition in underwater environments remains a significant challenge due to complex distortions such as turbidity, low illumination, and occlusion, which severely d…