Ratings for spectrum: Impacts of TV viewership on TV whitespace. - Zhongyuan Zhao 002; Mehmet C. Vuran; Demet Batur; Eylem Ekici (GLOBECOM, 2014)

A cognitive radio TV prototype for effective TV spectrum sharing. - Davis Rempe; Mitchell Snyder; Andrew Pracht; Andrew Schwarz; Tri Nguyen; Mitchel Vostrez; Zhongyuan Zhao 002; Mehmet C. Vuran (DySPAN, 2017)

Vehicle-to-barrier communication during real-world vehicle crash tests. - Samil Temel; Mehmet C. Vuran; Mohammad M. R. Lunar; Zhongyuan Zhao 002; Abdul Salam; Ronald K. Faller; Cody Stolle (Comput. Commun., 2018)

Meeting Real-Time Constraint of Spectrum Management in TV Black-Space Access. - Zhongyuan Zhao 002 (CoRR, 2018)

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks. - Zhongyuan Zhao 002; Mehmet C. Vuran; Fujuan Guo; Stephen D. Scott 001 (CoRR, 2018)

Dynamic Pricing of Wireless Internet Based on Usage and Stochastically Changing Capacity. - Demet Batur; Jennifer K. Ryan; Zhongyuan Zhao 002; Mehmet C. Vuran (Manuf. Serv. Oper. Manag., 2019)

Shades of White: Impacts of Population Dynamics and TV Viewership on Available TV Spectrum. - Zhongyuan Zhao 002; Mehmet C. Vuran; Demet Batur; Eylem Ekici (IEEE Trans. Veh. Technol., 2019)

Distributed Scheduling Using Graph Neural Networks. - Zhongyuan Zhao 002; Gunjan Verma; Chirag Rao; Ananthram Swami; Santiago Segarra (ICASSP, 2021)

A city-wide experimental testbed for the next generation wireless networks. - Zhongyuan Zhao 002; Mehmet C. Vuran; Baofeng Zhou; Mohammad M. R. Lunar; Zahra Aref; David P. Young; Warren Humphrey; Steve Goddard; Garhan Attebury; Blake France (Ad Hoc Networks, 2021)

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks. - Zhongyuan Zhao 002; Mehmet Can Vuran; Fujuan Guo; Stephen D. Scott 001 (IEEE J. Sel. Areas Commun., 2021)

Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks. - Zhongyuan Zhao 002; Ananthram Swami; Santiago Segarra (ICASSP, 2022)

Delay-Oriented Distributed Scheduling Using Graph Neural Networks. - Zhongyuan Zhao 002; Gunjan Verma; Ananthram Swami; Santiago Segarra (ICASSP, 2022)

Enhanced Backpressure Routing Using Wireless Link Features. - Zhongyuan Zhao 002; Gunjan Verma; Ananthram Swami; Santiago Segarra (CAMSAP, 2023)

Delay-Aware Backpressure Routing Using Graph Neural Networks. - Zhongyuan Zhao 002; Bojan Radojicic; Gunjan Verma; Ananthram Swami; Santiago Segarra (ICASSP, 2023)

Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems. - Zhongyuan Zhao 002; Ananthram Swami; Santiago Segarra (ICLR, 2023)

Link Scheduling Using Graph Neural Networks. - Zhongyuan Zhao 002; Gunjan Verma; Chirag Rao; Ananthram Swami; Santiago Segarra (IEEE Trans. Wirel. Commun., 2023)

Congestion-Aware Distributed Task Offloading in Wireless Multi-Hop Networks Using Graph Neural Networks. - Zhongyuan Zhao 002; Jake B. Perazzone; Gunjan Verma; Santiago Segarra (ICASSP, 2024)

Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns. - Negar Erfaniantaghvayi; Zhongyuan Zhao 002; Kevin S. Chan; Gunjan Verma; Ananthram Swami; Santiago Segarra (MILCOM, 2024)

Biased Backpressure Routing Using Link Features and Graph Neural Networks. - Zhongyuan Zhao 002; Bojan Radojicic; Gunjan Verma; Ananthram Swami; Santiago Segarra (CoRR, 2024)

Fully Distributed Online Training of Graph Neural Networks in Networked Systems. - Rostyslav Olshevskyi; Zhongyuan Zhao 002; Kevin S. Chan; Gunjan Verma; Ananthram Swami; Santiago Segarra (CoRR, 2024)

Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm. - Zhongyuan Zhao 002; Jake B. Perazzone; Gunjan Verma; Kevin S. Chan; Ananthram Swami; Santiago Segarra (ICASSP, 2025)

Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces. - Zhongyuan Zhao 002; Yujun Ming; Ananthram Swami; Kevin S. Chan; Fikadu Dagefu; Santiago Segarra (CoRR, 2025)

SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge. - Negar Erfaniantaghvayi; Zhongyuan Zhao 002; Kevin S. Chan; Ananthram Swami; Santiago Segarra (CoRR, 2025)