publications

2023

  1. ICLR
    WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations
    Tribhuvanesh Orekondy, Pratik Kumar, Shreya Kadambi, Hao Ye, and 2 more authors
    In The Eleventh International Conference on Learning Representations, 2023

2022

  1. JSTSP
    Decentralized federated learning with unreliable communications
    Hao Ye, Le Liang, and Geoffrey Ye Li
    IEEE Journal of Selected Topics in Signal Processing, 2022

2021

  1. WCM
    Federated learning and wireless communications
    Zhijin Qin, Geoffrey Ye Li, and Hao Ye
    IEEE Wireless Communications, 2021
  2. TCCN
    Deep learning based end-to-end wireless communication systems without pilots
    Hao Ye, Geoffrey Ye Li, and Biing-Hwang Juang
    IEEE Transactions on Cognitive Communications and Networking, 2021

2020

  1. TWC
    Deep learning-based end-to-end wireless communication systems with conditional GANs as unknown channels
    Hao Ye, Le Liang, Geoffrey Ye Li, and Biing-Hwang Juang
    IEEE Transactions on Wireless Communications, 2020
  2. TCOM
    Learn to compress CSI and allocate resources in vehicular networks
    Liang Wang, Hao Ye, Le Liang, and Geoffrey Ye Li
    IEEE Transactions on Communications, 2020
  3. GLOBECOM
    Deep over-the-air computation
    Hao Ye, Geoffrey Ye Li, and Biing-Hwang Fred Juang
    In GLOBECOM 2020-2020 IEEE Global Communications Conference, 2020
  4. GLOBECOM
    Resource allocation based on graph neural networks in vehicular communications
    Ziyan He, Liang Wang, Hao Ye, Geoffrey Ye Li, and 1 more author
    In GLOBECOM 2020-2020 IEEE Global Communications Conference, 2020
  5. ICC
    Bilinear convolutional auto-encoder based pilot-free end-to-end communication systems
    Hao Ye, Geoffrey Ye Li, and Biing-Hwang Fred Juang
    In ICC 2020-2020 IEEE International Conference on Communications (ICC), 2020

2019

  1. TVT
    Deep reinforcement learning based resource allocation for V2V communications
    Hao Ye, Geoffrey Ye Li, and Biing-Hwang Fred Juang
    IEEE Transactions on Vehicular Technology, 2019
  2. WCM
    Deep learning in physical layer communications
    Zhijin Qin, Hao Ye, Geoffrey Ye Li, and Biing-Hwang Fred Juang
    IEEE Wireless Communications, 2019
  3. JSAC
    Spectrum sharing in vehicular networks based on multi-agent reinforcement learning
    Le Liang, Hao Ye, and Geoffrey Ye Li
    IEEE Journal on Selected Areas in Communications, 2019
  4. Proc. IEEE
    Deep-learning-based wireless resource allocation with application to vehicular networks
    Le Liang, Hao Ye, Guanding Yu, and Geoffrey Ye Li
    Proceedings of the IEEE, 2019
  5. SPAWC
    Circular convolutional auto-encoder for channel coding
    Hao Ye, Le Liang, and Geoffrey Ye Li
    In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019
  6. SPAWC
    Multi-agent reinforcement learning for spectrum sharing in vehicular networks
    Le Liang, Hao Ye, and Geoffrey Ye Li
    In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019

2018

  1. VTM
    Machine learning for vehicular networks: Recent advances and application examples
    Hao Ye, Le Liang, Geoffrey Ye Li, JoonBeom Kim, and 2 more authors
    ieee vehicular technology magazine, 2018
  2. IoT-J
    Toward intelligent vehicular networks: A machine learning framework
    Le Liang, Hao Ye, and Geoffrey Ye Li
    IEEE Internet of Things Journal, 2018
  3. GC Wkshps
    Channel agnostic end-to-end learning based communication systems with conditional GAN
    Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, and Kathiravetpillai Sivanesan
    In 2018 IEEE Globecom Workshops (GC Wkshps), 2018
  4. ICC
    Deep reinforcement learning for resource allocation in V2V communications
    Hao Ye, and Geoffrey Ye Li
    In 2018 IEEE International Conference on Communications (ICC), 2018

2017

  1. WCL
    Power of deep learning for channel estimation and signal detection in OFDM systems
    Hao Ye, Geoffrey Ye Li, and Biing-Hwang Juang
    IEEE Wireless Communications Letters, 2017
  2. TVC
    Initial results on deep learning for joint channel equalization and decoding
    Hao Ye, and Geoffrey Ye Li
    In 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017