Zhongyuan Zhao

Orcid: 0000-0003-0346-8015

Affiliations:

Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA
University of Nebraska-Lincoln, Department of Computer Science and Engineering, Lincoln, NE, USA (PhD 2019)
Ericsson Communications Co. Ltd., China (2011-2013)
ArrayComm LLC, Digital Signal Processing Software Engineering, Chicago, IL, USA (2009-2011)

According to our database¹, Zhongyuan Zhao authored at least 19 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns.

[BibT_eX]

[DOI]

Negar Erfaniantaghvayi

CoRR, 2024

Biased Backpressure Routing Using Link Features and Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Congestion-Aware Distributed Task Offloading in Wireless Multi-Hop Networks Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Link Scheduling Using Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., June, 2023

Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems.

[BibT_eX]

[DOI]

Zhongyuan Zhao

Ananthram Swami

Santiago Segarra

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Delay-Aware Backpressure Routing Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Enhanced Backpressure Routing Using Wireless Link Features.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Delay-Oriented Distributed Scheduling Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks.

[BibT_eX]

[DOI]

Zhongyuan Zhao

Ananthram Swami

Santiago Segarra

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

A city-wide experimental testbed for the next generation wireless networks.

[BibT_eX]

[DOI]

Ad Hoc Networks, 2021

Distributed Scheduling Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Shades of White: Impacts of Population Dynamics and TV Viewership on Available TV Spectrum.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

Dynamic Pricing of Wireless Internet Based on Usage and Stochastically Changing Capacity.

[BibT_eX]

[DOI]

Manuf. Serv. Oper. Manag., 2019

2018

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Meeting Real-Time Constraint of Spectrum Management in TV Black-Space Access.

[BibT_eX]

[DOI]

Zhongyuan Zhao

CoRR, 2018

Vehicle-to-barrier communication during real-world vehicle crash tests.

[BibT_eX]

[DOI]

Comput. Commun., 2018

2017

A cognitive radio TV prototype for effective TV spectrum sharing.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Dynamic Spectrum Access Networks, 2017

2014

Ratings for spectrum: Impacts of TV viewership on TV whitespace.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2014

Zhongyuan Zhao

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