Hao Ye

发表

Towards Intelligent Vehicular Networks: A Machine Learning Framework

Geoffrey Y. Li, L. Liang, Hao Ye, 2019 .

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

Geoffrey Ye Li, Hao Ye, Biing-Hwang Juang, 2017, IEEE Wireless Communications Letters.

Deep Reinforcement Learning based Resource Allocation for V 2 V Communications

Geoffrey Ye Li, Biing-Hwang Fred Juang, Geoffrey Y. Li, 2018 .

Federated Learning and Wireless Communications pdf

Geoffrey Ye Li, Zhijin Qin, Hao Ye, 2020, IEEE Wireless Communications.

Deep Reinforcement Learning Based Resource Allocation for V2V Communications

Geoffrey Ye Li, Hao Ye, Biing-Hwang Fred Juang, 2018, IEEE Transactions on Vehicular Technology.

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

Geoffrey Ye Li, Le Liang, Hao Ye, 2019, IEEE Journal on Selected Areas in Communications.

Deep Learning in Physical Layer Communications

Biing-Hwang Juang, Geoffrey Ye Li, Zhijin Qin, 2018, IEEE Wireless Communications.

Deep Over-the-Air Computation

Geoffrey Y. Li, B. Juang, Hao Ye, 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.

Decentralized Federated Learning With Unreliable Communications pdf

Le Liang, Hao Ye, Geoffrey Li, 2021, IEEE Journal of Selected Topics in Signal Processing.

Resource Allocation based on Graph Neural Networks in Vehicular Communications

Geoffrey Y. Li, B. Juang, Hao Ye, 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.

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

Geoffrey Ye Li, Hao Ye, Le Liang, 2019, Proceedings of the IEEE.

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

Biing-Hwang Juang, Geoffrey Ye Li, Hao Ye, 2018, 2018 IEEE Globecom Workshops (GC Wkshps).

Toward Intelligent Vehicular Networks: A Machine Learning Framework

Geoffrey Ye Li, Le Liang, Hao Ye, 2018, IEEE Internet of Things Journal.

Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels

Biing-Hwang Juang, Geoffrey Ye Li, Le Liang, 2019, IEEE Transactions on Wireless Communications.

Deep Reinforcement Learning for Resource Allocation in V2V Communications

Geoffrey Ye Li, Hao Ye, Geoffrey Y. Li, 2017, 2018 IEEE International Conference on Communications (ICC).

Learn to Compress CSI and Allocate Resources in Vehicular Networks

Geoffrey Ye Li, Le Liang, Liang Wang, 2019, IEEE Transactions on Communications.

Machine Learning for Vehicular Networks: Recent Advances and Application Examples

Geoffrey Ye Li, Le Liang, Hao Ye, 2018, IEEE Vehicular Technology Magazine.

Learning Assisted Estimation for Time- Varying Channels

Geoffrey Ye Li, Xiaoli Ma, Hao Ye, 2018, 2018 15th International Symposium on Wireless Communication Systems (ISWCS).

Deep Learning Based End-to-End Wireless Communication Systems Without Pilots

Biing-Hwang Juang, Geoffrey Ye Li, Geoffrey Y. Li, 2021, IEEE Transactions on Cognitive Communications and Networking.

Deep Reinforcement Learning based Distributed Resource Allocation for V2V Broadcasting

Geoffrey Ye Li, Hao Ye, Geoffrey Y. Li, 2018, 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC).

Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel

Geoffrey Ye Li, Le Liang, Hao Ye, 2019 .

Machine Learning for Vehicular Networks: Recent Advances and Application Examples

Geoffrey Y. Li, Lu Lu, Hao Ye, 2017, IEEE Vehicular Technology Magazine.

Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks

Geoffrey Ye Li, Le Liang, Hao Ye, 2019, 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations

Joseph B. Soriaga, Tribhuvanesh Orekondy, Shreya Kadambi, 2023, ICLR.