Thermal Image Calibration and Correction using Unpaired Cycle-Consistent Adversarial Networks. - Hossein Rajoli; Pouya Afshin; Fatemeh Afghah (ACSSC, 2023)

Cooperative Perception for Connected Autonomous Vehicles Under Constrained V2V Networking. - Ahmad Sarlak; Sayed Pedram Haeri Boroujeni; Hazim Alzorgan; Rahul Amin; Abolfazl Razi; Hossein Rajoli (ACSSC, 2023)

Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios. - Hossein Rajoli; Fatemeh Lotfi; Adham Atyabi; Fatemeh Afghah (CISS, 2023)

FlameFinder: Illuminating Obscured Fire Through Smoke With Attentive Deep Metric Learning. - Hossein Rajoli; Sahand Khoshdel; Fatemeh Afghah; Xiaolong Ma (IEEE Trans. Geosci. Remote. Sens., 2024)

LLM-Augmented Deep Reinforcement Learning for Dynamic O-RAN Network Slicing. - Fatemeh Lotfi; Hossein Rajoli; Fatemeh Afghah (ICC, 2025)

DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models. - Niloufar Alipour Talemi; Hossein Kashiani; Hossein Rajoli Nowdeh; Fatemeh Afghah (KDD (2), 2025)

Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning. - Hossein Rajoli Nowdeh; Jie Ji; Xiaolong Ma; Fatemeh Afghah (NeurIPS, 2025)

Prompt-Tuned LLM-Augmented DRL for Dynamic O-RAN Network Slicing. - Fatemeh Lotfi; Hossein Rajoli; Fatemeh Afghah (CoRR, 2025)

ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing. - Fatemeh Lotfi; Hossein Rajoli; Fatemeh Afghah (CoRR, 2025)

Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning. - Fatemeh Lotfi; Hossein Rajoli; Fatemeh Afghah (CoRR, 2025)