Raheeb Hassan

According to our database, Raheeb Hassan authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

<i>n</i>-Musketeers: Reinforcement Learning Shapes Collaboration Among Language Models.

Ryozo Masukawa, Sanggeon Yun, Hyunwoo Oh, SuhgHeon Jeong, Raheeb Hassan, Hanning Chen, Wenjun Huang, Mahdi Imani, Pietro Mercati, Nathaniel D. Bastian, Mohsen Imani

CoRR, February, 2026

HopFormer: Sparse Graph Transformers with Explicit Receptive Field Control.

Sanggeon Yun, Raheeb Hassan, Ryozo Masukawa, Sungheon Jeong, Mohsen Imani

CoRR, February, 2026

Contextual Fusion Strategies for Multimodal GNN-Based Reasoning: Performance and Computational Trade-Offs.

Sanggeon Yun, Ryozo Masukawa, Raheeb Hassan, Minhyoung Na, Mohsen Imani

IEEE Access, 2026

2025

MissionHD: Data-Driven Refinement of Reasoning Graph Structure through Hyperdimensional Causal Path Encoding and Decoding.

Sanggeon Yun, Raheeb Hassan, Ryozo Masukawa, Mohsen Imani

CoRR, August, 2025

2024

DePAint: a decentralized safe multi-agent reinforcement learning algorithm considering peak and average constraints.

Raheeb Hassan, K. M. Shadman Wadith, Md. Mamun-Or-Rashid, Md. Mosaddek Khan

Appl. Intell., April, 2024

Reinforcement Learning-Based Formulations With Hamiltonian-Inspired Loss Functions for Combinatorial Optimization Over Graphs.

Redwan Ahmed Rizvee, Raheeb Hassan, Md. Mosaddek Khan

IEEE Access, 2024

2023

A Graph Neural Network-Based QUBO-Formulated Hamiltonian-Inspired Loss Function for Combinatorial Optimization using Reinforcement Learning.

Redwan Ahmed Rizvee, Raheeb Hassan, Md. Mosaddek Khan

CoRR, 2023