activity
20232026
most citedORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs

Hossein Rajoli, Fatemeh Lotfi, Niloufar Alipour Talemi +3

Pre-trained Vision-Language Models (VLMs) like CLIP have proven highly effective as foundation models for various downstream applications. However, prompt learning in VLMs encounte…

cs.AI2025

Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning

Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah

Next-generation networks utilize the Open Radio Access Network (O-RAN) architecture to enable dynamic resource management, facilitated by the RAN Intelligent Controller (RIC). Whil…

cs.LG2025★ 1 cited

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing

Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah

Advanced wireless networks must support highly dynamic and heterogeneous service demands. Open Radio Access Network (O-RAN) architecture enables this flexibility by adopting modula…

cs.LG2025

Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing

Fatemeh Lotfi, Hossein Rajoli, Fatemeh Afghah

Modern wireless networks must adapt to dynamic conditions while efficiently managing diverse service demands. Traditional deep reinforcement learning (DRL) struggles in these envir…

cs.CV2024

FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric Learning

Hossein Rajoli, Sahand Khoshdel, Fatemeh Afghah +1

FlameFinder is a deep metric learning (DML) framework designed to accurately detect flames, even when obscured by smoke, using thermal images from firefighter drones during wildfir…

cs.CV2024

Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks

Hossein Rajoli, Pouya Afshin, Fatemeh Afghah

Unmanned aerial vehicles (UAVs) offer a flexible and cost-effective solution for wildfire monitoring. However, their widespread deployment during wildfires has been hindered by a l…

cs.CV2023

Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios

Hossein Rajoli, Fatemeh Lotfi, Adham Atyabi +1

Facial expressions convey massive information and play a crucial role in emotional expression. Deep neural network (DNN) accompanied by deep metric learning (DML) techniques boost…