most citedQuantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems

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

collaborators

5 papers

cs.CV2026

GST-VLA: Structured Gaussian Spatial Tokens for 3D Depth-Aware Vision-Language-Action Models

Md Selim Sarowar, Omer Tariq, Sungho Kim

VLA models encode visual observations as 2D patch tokens with no intrinsic geometric structure. We introduce GST-VLA with two contributions. First, the Gaussian Spatial Tokenizer (…

cs.LG20262 cited

Quantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems

Muhammad Bilal Akram Dastagir, Omer Tariq, Shahid Mumtaz +2

Modern supply chains must balance high-speed logistics with environmental impact and security constraints, prompting a surge of interest in AI-enabled Internet of Things (AIoT) sol…

cs.LG2025

ConvXformer: Differentially Private Hybrid ConvNeXt-Transformer for Inertial Navigation

Omer Tariq, Muhammad Bilal, Muneeb Ul Hassan +2

Data-driven inertial sequence learning has revolutionized navigation in GPS-denied environments, offering superior odometric resolution compared to traditional Bayesian methods. Ho…

cs.LG2025

Learning to Undo: Rollback-Augmented Reinforcement Learning with Reversibility Signals

Andrejs Sorstkins, Omer Tariq, Muhammad Bilal

This paper proposes a reversible learning framework to improve the robustness and efficiency of value based Reinforcement Learning agents, addressing vulnerability to value overest…

quant-ph2025

QSCL-EWIL: Quantum Stochastic Contrast Learning for Enhanced WiFi-Based Indoor Localization

Muhammad Bilal Akram Dastagir, Omer Tariq, Dongsoo Han +3

WiFi-based indoor localization is essential for asset tracking, healthcare monitoring, and smart buildings. However, existing systems face challenges such as data variability, envi…