Zhongyuan Zhao, Yujun Ming, Ananthram Swami, Kevin Chan, Fikadu Dagefu, Santiago Segarra, " Link-Sharing Backpressure Routing In Wireless Multi-Hop Networks," IEEE ICASSP, 2026, under review
Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin Chan, Ananthram Swami, Santiago Segarra, " SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge," PrePrint arXiv: 2505.00848, manuscript under preparation
Zhongyuan Zhao, Yujun Ming, Ananthram Swami, Kevin Chan, Fikadu Dagefu, Santiago Segarra, " Generalizing Biased Backpressure Routing and Scheduling to Wireless Multi-hop Networks with Advanced Air-interfaces," PrePrint arXiv: 2504.21721, manuscript under preparation
Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, and Santiago Segarra, " Distributed Link Sparsification for Scalable Scheduling using Graph Neural Networks," IEEE Transactions on Wireless Communications, accepted for publication, DOI: 10.1109/TWC.2025.3606741
Eli Chien, Mufei Li, Anthony Aportela, Kerr Ding, Shuyi Jia, Supriyo Maji, Zhongyuan Zhao, Javier Duarte, Victor Fung, Callie Hao, Yunan Luo, Olgica Milenkovic, David Pan, and Santiago Segarra, Li Pan, " Opportunities and Challenges of Graph Neural Networks in Electrical Engineering," Nature Reviews Electrical Engineering, Vol. 1, pp 529-546, August 2024
Zhongyuan Zhao, Bojan Radojičić, Gunjan Verma, Ananthram Swami, Santiago Segarra, " Distributed Link Sparsification for Scalable Scheduling using Graph Neural Networks," IEEE Transactions on Machine Learning in Communications and Networking, Vol. 2, pp1424-1439, Sep. 2024
Brandt Bessell, Josh Loecker, Zhongyuan Zhao, Sara Sadat Aghamiri, Sabyasachi Mohanty, Rada Amin, Tomáš Helikar, Bhanwar Lal Puniya, "COMO: a pipeline for multi-omics data integration in metabolic modeling and drug discovery," Briefings in Bioinformatics, Volume 24, Issue 6, November 2023, bbad387.
Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra, " Link Scheduling Using Graph Neural Networks," in IEEE Transactions on Wireless Communications, vol. 22, no. 6, pp. 3997-4012, June 2023, doi: 10.1109/TWC.2022.3222781 .
Zhongyuan Zhao, Mehmet C. Vuran, Fujuan Guo, and Stephen Scott, "Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks," in IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, pp. 2407-2420, Aug. 2021, doi: 10.1109/JSAC.2021.3087241.
Zhongyuan Zhao, Mehmet C. Vuran, Baofeng Zhou, Mohammad M.R. Lunar, Zahra Aref, David P. Young, Warren Humphrey, Steve Goddard, Garhan Attebury, Blake France, " A city-wide experimental testbed for the next generation wireless networks," Ad Hoc Networks, Vol. 111, pp102305, ISSN 1570-8705, 2021.
Zhongyuan Zhao, Mehmet C. Vuran, Demet Batur, and Eylem Ekici, "Shades of White: Impacts of Population Dynamics and TV Viewership on Available TV Spectrum," IEEE Transactions on Vehicular Technology, Vol. 68, No. 3, pp2427-2442, March 2019.
Demet Batur, Jennifer Ryan, Zhongyuan Zhao, and Mehmet C. Vuran, "Dynamic Pricing of Wireless Internet Based on Usage and Stochastically Changing Capacity," Manufacturing and Service Operations Management, Vol. 21, No.4, Publised Online, Feb. 2019.
S. Tamel, M. C. Vuran, M.M.R. Lunar, Z. Zhao, A. Salam, R. K. Faller, and C. Stolle, "Vehicle-to-Barrier Communication During Real-World Vehicle Crash Tests," Computer Communications, Vol 127, Sep. 2018, pp. 172-186.
Haihong Tang, Zhongyuan Zhao, "DSP and CPLD-based Digital AC Soft Starter." Automation Information, 2007 (5), pp53-55, May 2007.
Zhongyuan Zhao, Yujun Ming, Kevin Chan, Ananthram Swami, Santiago Segarra, " A Differentiable Digital Twin of Distributed Link Scheduling for Contention-Aware Networking," In Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Oct. 2025
Narjes Nourzad, Jared Coleman, Zhongyuan Zhao, Bhaskar Krishnamachari, Gunjan Verma, and Santiago Segarra, " Actor-Twin Framework for Task Graph Scheduling," The Seventeenth Workshop on Adaptive and Learning Agents, AAMAS 2025, pp 1-10, April 2025
Rostyslav Olshevskyi, Zhongyuan Zhao, Kevin Chan, Gunjan Verma, Ananthram Swami, and Santiago Segarra, " Fully Distributed Online Training of Graph Neural Networks in Networked Systems," in Proc. IEEE International Conference on Machine Learning for Communicatio and Networking (ICMLCN) 2025, pp 1-6, Barcelona, Spain, May 2025
Zhongyuan Zhao, Jake Perazzone, Gunjan Verma, Kevin Chan, Ananthram Swami, and Santiago Segarra, " Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm," IEEE ICASSP 2025, Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSP49660.2025.10888598.
Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin Chan, Gunjan Verma, Ananthram Swami, Santiago Segarra, " Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns," IEEE Military Communications Conference, 28 October – 1 November 2024, Washington, DC, USA
Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra, " Enhanced Backpressure with Wireless Link Features," IEEE CAMSAP 2023, Herradura, Costa Rica, 2023, pp. 271-275, doi: 10.1109/CAMSAP58249.2023.10403470.
Zhongyuan Zhao, Jake Perazzone, Gunjan Verma, Santiago Segarra, " Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks," IEEE ICASSP 2024, Seoul, Republic of Korea, 2024, pp. 8951-8955, doi: 10.1109/ICASSP48485.2024.10447302.
Zhongyuan Zhao, Ananthram Swami, Santiago Segarra, " Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems," The 11th International Conference on Learning Representations (ICLR) 2023, pp. 1-21.
Zhongyuan Zhao, Bojan Radojičić, Gunjan Verma, Ananthram Swami, Santiago Segarra, " Delay-aware Backpressure Routing Using Graph Neural Networks," IEEE ICASSP 2023, Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095267.
Zhongyuan Zhao, Ananthram Swami, Santiago Segarra, " Distributed Link Sparsification for Scalable Scheduling using Graph Neural Networks," IEEE ICASSP 2022, pp. 5308-5312, doi: 10.1109/ICASSP43922.2022.9747437.
Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra, " Delay-Oriented Distributed Scheduling Using Graph Neural Networks," IEEE ICASSP 2022, pp. 8902-8906, doi: 10.1109/ICASSP43922.2022.9746926.
Zhongyuan Zhao, Gunjan Verma, Chirag Rao, Ananthram Swami, Santiago Segarra, " Distributed Scheduling Using Graph Neural Networks," IEEE ICASSP 2021, pp. 4720-4724, doi: 10.1109/ICASSP39728.2021.9414098.
Zhongyuan Zhao and Mehmet C. Vuran, "Modeling Aggregate Interference with Heterogeneous Secondary Users and Passive Primary Users for Dynamic Admission and Power Control in TV Spectrum," in Proc. Int. Balkan Conference on Communications and Networking (BalkanCom 18), Podgorica, Montenegro, Jun. 2018.
Zhongyuan Zhao, Mehmet C. Vuran, Demet Batur, and Eylem Ekici, "Ratings for Spectrum: Impacts of TV Viewership on TV Whitespace," in Proc. IEEE Global Communications Conference (GlobeCom), pp.941-947, Austin, TX, Dec. 2014
Hongping Hu, Zhongyuan Zhao, "A Real-Time High Resolution Image Compression System Based on ADV212," in Proc. 2nd International Congress on Image and Signal Processing (CISP 09) , Tianjin, China, pp.1-4, Oct. 2009.
Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin Chan, Ananthram Swami, Santiago Segarra, " Poster: Sparsity-enhanced Lagrangian Relaxation (SeLR) for Computation Offloading at the Edge," ACM Mobihoc, 2025, Best Poster Award.
Davis Rempe, Mitchell Snyder, Andrew Pracht, Andrew Schwarz, Tri Nguyen, Mitchel Vostrez, Zhongyuan Zhao, and Mehmet C. Vuran, "A Cognitive Radio TV Prototype For Effective TV Spectrum Sharing," in Proceedings of IEEE DySPAN, Baltimore, MD, May. 2017, pp.1-2
Zhongyuan Zhao, Weixu Wang, Luping Pan, "PLL and Adaptive Compensation Method in PLL," International Patent, US9496881 B2, EP3047573 A4, CN105580278A, Issued Date: May. 11, 2016.
Zishu He, Zhongyuan Zhao, Jianzhong Zhang, Ting Chen, and Kexin Jia, "Method and Apparatus for An Implementation of Polyphase Filter Structure," NIPA, CN101958697B, Issued Date: Nov. 14, 2012.
Zhongyuan Zhao, (2019). "Improving Spectrum Efficiency by Exploiting User and Channel Behaviors for Next Generation Wireless Networks," Ph.D. dissertation, University of Nebraska-Lincoln.
Zhongyuan Zhao, (2009). "Design and Implementation of Channelized Digital Receiver based on PCI-Express," M.S. Thesis. University of Electronic Science and Technology of China, P.R.China.
Zhongyuan Zhao, (2006). "Design of Motor Soft Starter based on DSP and CPLD," B.S. Thesis. University of Electronic Science and Technology of China, P.R.China.