Ahsan Bilal

According to our database, Ahsan Bilal authored at least 14 papers between 2018 and 2025.

Collaborative distances:

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

2025

Transformer-Based Sparse CSI Estimation for Non-Stationary Channels.

Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Hassan Rizwan, Sagnik Bhattacharya, Muhammad Ali Jamshed, John M. Cioffi

CoRR, November, 2025

6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks.

Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Muhammad Ali Jamshed, Dean F. Hougen, John M. Cioffi

CoRR, September, 2025

Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization.

Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Muhammad Ibtsaam Qadir, Muhammad Ali Jamshed, Dean F. Hougen, John M. Cioffi

CoRR, September, 2025

Conditional Prior-based Non-stationary Channel Estimation Using Accelerated Diffusion Models.

Muhammad Ahmed Mohsin, Ahsan Bilal, Muhammad Umer, Asad Aali, Muhammad Ali Jamshed, Dean F. Hougen, John M. Cioffi

CoRR, September, 2025

Neural Gaussian Radio Fields for Channel Estimation.

Muhammad Umer, Muhammad Ahmed Mohsin, Ahsan Bilal, John M. Cioffi

CoRR, August, 2025

Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks.

Oluwaseyi Giwa, Tobi Awodunmila, Muhammad Ahmed Mohsin, Ahsan Bilal, Muhammad Ali Jamshed

CoRR, July, 2025

Continual Learning for Wireless Channel Prediction.

Muhammad Ahmed Mohsin, Muhammad Umer, Ahsan Bilal, Muhammad Ali Jamshed, John M. Cioffi

CoRR, June, 2025

ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model.

Sagnik Bhattacharya, Abhiram Rao Gorle, Ahsan Bilal, Connor Ding, Amit Kumar Singh Yadav, Tsachy Weissman

CoRR, May, 2025

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey.

Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer, Muhammad Awais Khan Bangash, Muhammad Ali Jamshed

CoRR, April, 2025

LLMs for Explainable AI: A Comprehensive Survey.

Ahsan Bilal, David Ebert, Beiyu Lin

CoRR, April, 2025

Task and Perception-aware Distributed Source Coding for Correlated Speech under Bandwidth-constrained Channels.

Sagnik Bhattacharya, Muhammad Ahmed Mohsin, Ahsan Bilal, John M. Cioffi

CoRR, January, 2025

Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments.

Muhammad Ahmed Mohsin, Ahsan Bilal, Sagnik Bhattacharya, John M. Cioffi

Proceedings of the IEEE International Conference on Communications, 2025

2021

Social Sensing for Sentiment Analysis of Policing Authority Performance in Smart Cities.

Tariq Malik, Ahsen Tahir, Ahsan Bilal, Kia Dashtipour, Muhammad Ali Imran, Qammer H. Abbasi

Frontiers Commun. Networks, 2021

2018

Big Data Analytics for Obesity Prediction.

Ahsan Bilal, Alfredo Vellido, Vicent J. Ribas

Proceedings of the Artificial Intelligence Research and Development, 2018