Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing. - Zheng Liu 010; Botao Xiao; Muhammad Alrabeiah; Keyan Wang; Jun Chen 005 (CoRR, 2018)

Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency. - Muhammad Alrabeiah; Ahmed Alkhateeb (ACSSC, 2019)

Image Retrieval via Canonical Correlation Analysis. - Kangdi Shi; Xiaohong Liu 001; Muhammad Alrabeiah; Xintong Guo; Jie Lin; Huan Liu 014; Jun Chen 005 (CWIT, 2019)

Deep Learning for Large Intelligent Surfaces in Millimeter Wave and Massive MIMO Systems. - Abdelrahman Taha; Muhammad Alrabeiah; Ahmed Alkhateeb (GLOBECOM, 2019)

Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels. - Muhammad Alrabeiah; Ahmed Alkhateeb (CoRR, 2019)

Single Image Dehazing with a Generic Model-Agnostic Convolutional Neural Network. - Zheng Liu 010; Botao Xiao; Muhammad Alrabeiah; Keyan Wang; Jun Chen 005 (IEEE Signal Process. Lett., 2019)

Vision Aided URLL Communications: Proactive Service Identification and Coexistence. - Muhammad Alrabeiah; Umut Demirhan; Andrew Hredzak; Ahmed Alkhateeb (ACSSC, 2020)

Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems. - Yu Zhang 123; Muhammad Alrabeiah; Ahmed Alkhateeb (ACSSC, 2020)

Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO. - Yu Zhang 123; Muhammad Alrabeiah; Ahmed Alkhateeb (SPAWC, 2020)

Millimeter Wave Base Stations with Cameras: Vision-Aided Beam and Blockage Prediction. - Muhammad Alrabeiah; Andrew Hredzak; Ahmed Alkhateeb (VTC Spring, 2020)

ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications. - Muhammad Alrabeiah; Andrew Hredzak; Zhenhao Liu; Ahmed Alkhateeb (VTC Spring, 2020)

ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions. - Muhammad Alrabeiah; Jayden Booth; Andrew Hredzak; Ahmed Alkhateeb (CoRR, 2020)

Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels. - Muhammad Alrabeiah; Ahmed Alkhateeb (IEEE Trans. Commun., 2020)

Deep Learning for Massive MIMO With 1-Bit ADCs: When More Antennas Need Fewer Pilots. - Yu Zhang 123; Muhammad Alrabeiah; Ahmed Alkhateeb (IEEE Wirel. Commun. Lett., 2020)

Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction. - Nof Abuzainab; Muhammad Alrabeiah; Ahmed Alkhateeb; Yalin E. Sagduyu (ICC Workshops, 2021)

Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks. - Gouranga Charan; Muhammad Alrabeiah; Ahmed Alkhateeb (ICC Workshops, 2021)

Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning. - Abdelrahman Taha; Muhammad Alrabeiah; Ahmed Alkhateeb (IEEE Access, 2021)

Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements. - Shunyao Wu; Muhammad Alrabeiah; Andrew Hredzak; Chaitali Chakrabarti; Ahmed Alkhateeb (CoRR, 2021)

Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence. - Muhammad Alrabeiah; Umut Demirhan; Andrew Hredzak; Ahmed Alkhateeb (CoRR, 2021)

Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff. - Gouranga Charan; Muhammad Alrabeiah; Ahmed Alkhateeb (IEEE Trans. Veh. Technol., 2021)

Deep Learning for Moving Blockage Prediction using Real mmWave Measurements. - Shunyao Wu; Muhammad Alrabeiah; Andrew Hredzak; Chaitali Chakrabarti; Ahmed Alkhateeb (ICC, 2022)

Sky Imager Data Reduction Using Autoencoder and Internet of Things Computing. - Ziyad N. Alotaibi; Saeed A. Khouli; Ahmed B. Ibrahim; Muhammad Alrabeiah; Amr M. Ragheb; Ahmed Almaiman; Saleh A. Alshebeili (IEEE Access, 2022)

Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing. - Kangdi Shi; Xiaohong Liu 001; Muhammad Alrabeiah; Xintong Guo; Jie Lin; Huan Liu 014; Jun Chen 005 (Inf., 2022)

Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. - Shunyao Wu; Muhammad Alrabeiah; Chaitali Chakrabarti; Ahmed Alkhateeb (IEEE Open J. Commun. Soc., 2022)

Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams That Adapt to Deployment and Hardware. - Muhammad Alrabeiah; Yu Zhang 123; Ahmed Alkhateeb (IEEE Trans. Commun., 2022)

Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems. - Yu Zhang 123; Muhammad Alrabeiah; Ahmed Alkhateeb (IEEE Trans. Commun., 2022)

Progressive With Purpose: Guiding Progressive Inpainting DNNs Through Context and Structure. - Kangdi Shi; Muhammad Alrabeiah; Jun Chen 005 (IEEE Access, 2023)

Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios. - Gouranga Charan; Muhammad Alrabeiah; Tawfik Osman; Ahmed Alkhateeb (IEEE Trans. Veh. Technol., 2025)