Yu Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Millimeter Wave

Unsupervised Feature Learning

Reinforced Concrete

Top Venues

IEEE Trans. Commun.

IEEE Wirel. Commun. Lett.

Publications

Yu Zhang, Ahmed Alkhateeb
Decentralized Interference-Aware Codebook Learning in Millimeter Wave MIMO Systems. CoRR (2024)
Yuqiang Heng, Yu Zhang, Ahmed Alkhateeb, Jeffrey G. Andrews
Site-Specific Beam Alignment in 6G via Deep Learning. IEEE Commun. Mag. 62 (8) (2024)
Yu Zhang, Ahmed Alkhateeb
Zone-Specific CSI Feedback for Massive MIMO: A Situation-Aware Deep Learning Approach. CoRR (2024)
Yuqiang Heng, Yu Zhang, Ahmed Alkhateeb, Jeffrey G. Andrews
Site-Specific Beam Alignment in 6G via Deep Learning. CoRR (2024)
Yu Zhang, Tawfik Osman, Ahmed Alkhateeb
Online Beam Learning With Interference Nulling for Millimeter Wave MIMO Systems. IEEE Trans. Wirel. Commun. 23 (5) (2024)
Yu Zhang, Tawfik Osman, Ahmed Alkhateeb
A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems. ICC Workshops (2023)
Ian P. Roberts, Yu Zhang, Tawfik Osman, Ahmed Alkhateeb
Steer+: Robust Beam Refinement for Full-Duplex Millimeter Wave Communication Systems (Invited Paper). ACSSC (2023)
Yu Zhang, Ahmed Alkhateeb
Deep Learning of Near Field Beam Focusing in Terahertz Wideband Massive MIMO Systems. IEEE Wirel. Commun. Lett. 12 (3) (2023)
Muhammad Alrabeiah, Yu Zhang, Ahmed Alkhateeb
Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams That Adapt to Deployment and Hardware. IEEE Trans. Commun. 70 (6) (2022)
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems. IEEE Trans. Commun. 70 (2) (2022)
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems. CoRR (2021)
Yu Zhang, Ahmed Alkhateeb
Learning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels. CoRR (2021)
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems. CoRR (2021)
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO. SPAWC (2020)
Abdelrahman Taha, Yu Zhang, Faris B. Mismar, Ahmed Alkhateeb
Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation. SPAWC (2020)
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Deep Learning for Massive MIMO With 1-Bit ADCs: When More Antennas Need Fewer Pilots. IEEE Wirel. Commun. Lett. 9 (8) (2020)
Abdelrahman Taha, Yu Zhang, Faris B. Mismar, Ahmed Alkhateeb
Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation. CoRR (2020)
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO. CoRR (2020)
Muhammad Alrabeiah, Yu Zhang, Ahmed Alkhateeb
Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware. CoRR (2020)
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems. ACSSC (2020)
Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb
Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots. CoRR (2019)