Hao Ye

Orcid: 0000-0003-1544-1768

Affiliations:
  • University of California Santa Cruz, Department of Electrical and Computer Engineering, CA, USA
  • Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA (former)


According to our database1, Hao Ye authored at least 42 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
Large Language Models for Wireless Communications: From Adaptation to Autonomy.
CoRR, July, 2025

A Wireless Foundation Model for Multi-Task Prediction.
CoRR, July, 2025

Hierarchical Multi-Agent Reinforcement Learning-based Coordinated Spatial Reuse for Next Generation WLANs.
CoRR, June, 2025

A Simplified Realization for Data-Driven MIMO Detector With Product Quantization.
IEEE Wirel. Commun. Lett., May, 2025

Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach.
CoRR, May, 2025

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning.
CoRR, May, 2025

Deep Reinforcement Learning-Based User Scheduling for Collaborative Perception.
CoRR, February, 2025

On Purely Data-Driven Massive MIMO Detectors.
IEEE Trans. Signal Process., 2025

MCMC-Based Sparse Bayesian Learning for Channel Estimation Using Gaussian Mixture Models.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

2024
Semantic communication for cooperative perception based on importance map.
J. Frankl. Inst., 2024

Semantic Communication for Cooperative Perception using HARQ.
CoRR, 2024

Cooperative Multi-Agent Reinforcement Learning-Based Wi-Fi Multiple Access.
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

Semantic Communication for Cooperative Perception with HARQ.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

V2I Interference Management for Collaborative Perception Based on Hierarchical Reinforcement Learning.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

2023
Semantic Communication for Cooperative Perception Based on the Importance Map.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023

Sparse Graph Neural Networks for Two-Timescale Wireless Resource Allocation.
Proceedings of the IEEE Globecom Workshops 2023, 2023

2022
Decentralized Federated Learning With Unreliable Communications.
IEEE J. Sel. Top. Signal Process., 2022

2021
Federated Learning and Wireless Communications.
IEEE Wirel. Commun., 2021

Deep Learning Based End-to-End Wireless Communication Systems Without Pilots.
IEEE Trans. Cogn. Commun. Netw., 2021

2020
Deep Learning-Based End-to-End Wireless Communication Systems With Conditional GANs as Unknown Channels.
IEEE Trans. Wirel. Commun., 2020

Learn to Compress CSI and Allocate Resources in Vehicular Networks.
IEEE Trans. Commun., 2020

Deep-Learning-Based Wireless Resource Allocation With Application to Vehicular Networks.
Proc. IEEE, 2020

Bilinear Convolutional Auto-encoder based Pilot-free End-to-end Communication Systems.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Deep Over-the-Air Computation.
Proceedings of the IEEE Global Communications Conference, 2020

Resource Allocation based on Graph Neural Networks in Vehicular Communications.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Deep Learning in Physical Layer Communications.
IEEE Wirel. Commun., 2019

Deep Reinforcement Learning Based Resource Allocation for V2V Communications.
IEEE Trans. Veh. Technol., 2019

Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning.
IEEE J. Sel. Areas Commun., 2019

Toward Intelligent Vehicular Networks: A Machine Learning Framework.
IEEE Internet Things J., 2019

Learn to Allocate Resources in Vehicular Networks.
CoRR, 2019

Deep Learning based End-to-End Wireless Communication Systems with Conditional GAN as Unknown Channel.
CoRR, 2019

Circular Convolutional Auto-Encoder for Channel Coding.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

2018
Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems.
IEEE Wirel. Commun. Lett., 2018

Machine Learning for Vehicular Networks: Recent Advances and Application Examples.
IEEE Veh. Technol. Mag., 2018

Towards Intelligent Vehicular Networks: A Machine Learning Framework.
CoRR, 2018

Deep Reinforcement Learning based Distributed Resource Allocation for V2V Broadcasting.
Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Learning Assisted Estimation for Time-Varying Channels.
Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

Deep Reinforcement Learning for Resource Allocation in V2V Communications.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Channel Agnostic End-to-End Learning Based Communication Systems with Conditional GAN.
Proceedings of the IEEE Globecom Workshops, 2018

2017
Machine Learning for Vehicular Networks.
CoRR, 2017

Initial Results on Deep Learning for Joint Channel Equalization and Decoding.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017


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