Li, Geoffrey Ye

Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems

Ye, H., Li, G. Y., & Juang, B.-H. (2018) · IEEE Wireless Communications Letters

Advanced Wireless Communication TechniquesPAPR reduction in OFDM

Cited by 2,000

Deep Learning Enabled Semantic Communication Systems

Xie, H., Qin, Z., Li, G. Y., & Juang, B.-H. (2021) · IEEE Transactions on Signal Processing

Advanced Wireless Communication TechnologiesWireless Signal Modulation Classification

Cited by 1,602

Deep Reinforcement Learning Based Resource Allocation for V2V Communications

Ye, H., Li, G. Y., & Juang, B.-H. F. (2019) · IEEE Transactions on Vehicular Technology

Vehicular Ad Hoc Networks (VANETs)Traffic control and management

Cited by 870

Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems

He, H., Wen, C.-K., Jin, S., & Li, G. Y. (2018) · IEEE Wireless Communications Letters

Millimeter-Wave Propagation and ModelingAdvanced Wireless Communication Techniques

Cited by 823

Deep Learning-based Channel Estimation for Beamspace mmWave Massive MIMO Systems

He, H., Wen, C.-K., Jin, S., & Li, G. Y. (2018) · arXiv

Millimeter-Wave Propagation and ModelingAdvanced Wireless Communication Techniques

Cited by 823

Deep Learning in Physical Layer Communications

Qin, Z., Ye, H., Li, G. Y., & Juang, B.-H. F. (2019) · IEEE Wireless Communications

Wireless Signal Modulation ClassificationAdvanced Wireless Communication Technologies

Cited by 692

Deep Learning in Physical Layer Communications

Qin, Z., Ye, H., Li, G. Y., & Juang, B.-H. F. (2018) · arXiv

Wireless Signal Modulation ClassificationAdvanced Wireless Communication Technologies

Cited by 692

Collaborative Cloud and Edge Computing for Latency Minimization

Ren, J., Yu, G., He, Y., & Li, G. Y. (2019) · IEEE Transactions on Vehicular Technology

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 685

Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning

Liang, L., Ye, H., & Li, G. Y. (2019) · IEEE Journal on Selected Areas in Communications

Vehicular Ad Hoc Networks (VANETs)Cognitive Radio Networks and Spectrum Sensing

Cited by 559

Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks

Liang, L., Ye, H., Yu, G., & Li, G. Y. (2020) · Proceedings of the IEEE

Advanced Wireless Network OptimizationVehicular Ad Hoc Networks (VANETs)

Cited by 282

Sparse Representation for Wireless Communications: A Compressive Sensing Approach

Qin, Z., Fan, J., Liu, Y., Gao, Y., & Li, G. Y. (2018) · IEEE Signal Processing Magazine

Sparse and Compressive Sensing TechniquesAdvanced Wireless Communication Technologies

Cited by 247

Channel Agnostic End-to-End Learning Based Communication Systems with Conditional GAN

Ye, H., Li, G. Y., Juang, B.-H. F., & Sivanesan, K. (2018) · 2018 IEEE Globecom Workshops (GC Wkshps)

Wireless Signal Modulation ClassificationAdvanced Wireless Communication Techniques

Cited by 244

Deep Reinforcement Learning for Resource Allocation in V2V Communications

Ye, H., & Li, G. Y. (2018) · 2018 IEEE International Conference on Communications (ICC)

Vehicular Ad Hoc Networks (VANETs)Traffic control and management

Cited by 222

Decentralized Federated Learning With Unreliable Communications

Ye, H., Liang, L., & Li, G. Y. (2022) · IEEE Journal of Selected Topics in Signal Processing

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 184