About Me

Hi, I am Zhihui Gao, a final-year Ph.D. student of electrical and computer engineering at Duke University, co-advised by Prof. Tingjun Chen and Prof. Yiran Chen.

Previously, I obtained my bachelor’s degree in electrical engineering at Fudan University in 2020, advised by Prof. Yuedong Xu.

My Research Interests include, but are not limited to (i) Next-Generation Network Systems, (ii) Machine Learning Acceleration, (iii) Cyber-Physical Systems, and (iv) Simulation-to-Reality.

I am on the job market for tenure-track faculty positions in ECE and CS starting in Fall 2026!

News

• Nov, 2025 One paper (as the first author) is accepted in Science Advances!

• Nov, 2025 One paper is conditionally accepted in ACM MobiCom’26!

• Oct, 2025 Deliver a talk at the Athena Seminar Series!

• Sept, 2025 One paper is accepted in MobiCom Workshop WiNTECH’25!

• Sept, 2025 One paper (as the first author) is accepted in NeurIPS Workshop AI4NextG’25!

• Aug, 2025 Three papers are now available on ArXiv.

Selected Publications

Disaggregated machine learning via in-physics computing at radio frequency.
Zhihui Gao, Sri Krishna Vadlamani, Kfir Sulimany, Dirk Englund, Tingjun Chen.
Science Advances, 2026.
[bibtex] [code] [paper]

    @article{gao2025disaggregated,
      title = {Disaggregated deep learning via in-physics computing at radio frequency},
      author = {Gao, Zhihui and Vadlamani, Sri Krishna and Sulimany, Kfir and Englund, Dirk and Chen, Tingjun},
      journal = {Science Advances},
      year = {2026},
      publisher = {American Association for the Advancement of Science},
    }
  

Mambas: Maneuvering analog multi-user beamforming using an array of subarrays in mmWave networks.
Zhihui Gao, Zhenzhou Qi, Tingjun Chen.
Proc. ACM International Conference on Mobile Computing and Networking (MobiCom’24), 2024.
[bibtex] [code] [testbed] [paper]

    @inproceedings{gao2024mambas,
      title={Mambas: Maneuvering analog multi-user beamforming using an array of subarrays in {mmWave} networks},
      author={Gao, Zhihui and Qi, Zhenzhou and Chen, Tingjun},
      booktitle={Proc. ACM MobiCom'24},
      year={2024}
    }
  

Swirls: Sniffing Wi-Fi using radios with low sampling rates.
Zhihui Gao, Yiran Chen, Tingjun Chen.
Proc. ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc’23), 2023.
[bibtex] [code] [paper]

    @inproceedings{gao2023swirls,
      title={Swirls: Sniffing {Wi-Fi} using radios with low sampling rates},
      author={Gao, Zhihui and Chen, Yiran and Chen, Tingjun},
      booktitle={Proc. ACM MobiHoc'23},
      year={2023}}
    }
  

Mom: Microphone based 3D orientation measurement.
Zhihui Gao, Ang Li, Dong Li, Jialin Liu, Jie Xiong, Yu Wang, Bing Li, Yiran Chen.
Proc. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN’22), 2022.
[bibtex] [code] [paper]

    @inproceedings{gao2022mom,
      title={Mom: Microphone based {3D} orientation measurement},
      author={Gao, Zhihui and Li, Ang and Li, Dong and Liu, Jialin and Xiong, Jie and Wang, Yu and Li, Bing and Chen, Yiran},
      booktitle={Proc. ACM/IEEE IPSN'22},
      year={2022},
    }
  

CRISLoc: Reconstructable CSI fingerprinting for indoor smartphone localization.
Zhihui Gao*, Yunfan Gao*, Sulei Wang, Dan Li, Yuedong Xu.
IEEE Internet of Things Journal (IoT Journal), 2020.
[bibtex] [dataset] [paper]

    @article{gao2020crisloc,
      title={CRISLoc: Reconstructable {CSI} fingerprinting for indoor smartphone localization},
      author={Gao, Zhihui and Gao, Yunfan and Wang, Sulei and Li, Dan and Xu, Yuedong},
      journal={IEEE Internet of Things Journal},
      volume={8},
      number={5},
      pages={3422--3437},
      year={2020},
      publisher={IEEE}
    }