Hao Ye

Assistant Professor, UC Santa Cruz

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I am an Assistant Professor in Electrical and Computer Engineering at UC Santa Cruz. I completed my Ph.D. in Electrical and Computer Engineering at the Georgia Institute of Technology. Before joining UC Santa Cruz, I worked as a Machine Learning Researcher at Qualcomm AI Research.

I am interested in upgrading the communication network with machine learning methodology, especially for accommodating AI applications involving a large number of edge devices (e.g. autonomous vehicles).

I’m looking for highly self-motivated Ph.D. students. If you are interested in working with me, please send an email to yehao@ucsc.edu with your CV and transcripts attached.

news

Apr 1, 2023 I recently joined UC Santa Cruz as an assistant professor
Jan 20, 2023 Our paper “WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations” got accepted by ICLR 2023
Apr 10, 2022 Fred W. Ellersick Prize Paper Award for our paper Deep learning in physical layer communications

selected publications

  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. 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
  3. 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
  4. 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
  5. JSTSP
    Decentralized federated learning with unreliable communications
    Hao Ye, Le Liang, and Geoffrey Ye Li
    IEEE Journal of Selected Topics in Signal Processing, 2022
  6. 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