Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin Chan, Ananthram Swami, Santiago Segarra, " SeLR: Sparsity-enhanced Lagrangian Relaxation for Computation Offloading at the Edge," ACM Mobihoc, 2025, under review
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," ACM Mobihoc, 2025, under review
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, 2025, accepted for publications
Rostyslav Olshevskyi, Zhongyuan Zhao, Kevin Chan, Gunjan Verma, Ananthram Swami, and Santiago Segarra, " Fully Distributed Online Training of Graph Neural Networks in Networked Systems," IEEE International Conference on Machine Learning for Communicatio and Networking (ICMLCN) 2025, accepted for publications
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
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, accepted for publication
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, accepted
Zhongyuan Zhao, Gunjan Verma, Ananthram Swami, Santiago Segarra, " Distributed Link Sparsification for Scalable Scheduling using Graph Neural Networks," IEEE Transactions on Wireless Communications, under review
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, 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, " 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, 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, 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, (2019). "Improving Spectrum Efficiency by Exploiting User and Channel Behaviors for Next Generation Wireless Networks," Ph.D. dissertation, University of Nebraska-Lincoln.
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.
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.
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.
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
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.
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.
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.
Haihong Tang, Zhongyuan Zhao, "DSP and CPLD-based Digital AC Soft Starter." Automation Information, 2007 (5), pp53-55, May 2007.
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.
April 04, 2025
Seminar at CESG seminar, College Station, TX, USA
October 28, 2024
Conference tutorial at IEEE MILCOM 2024, Washington DC, USA
May 05, 2024
Conference tutorial at IEEE ICMLCN 2024, Stockholm, Sweden
April 18, 2024
Conference tutorial at IEEE ICASSP 2024, Seoul, Korea
June 08, 2023
Conference proceedings presentation at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece
May 01, 2023
Conference proceedings presentation at ICLR 2023, Virtual Conference
May 10, 2022
Conference proceedings presentation at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Virtual Conference
May 08, 2022
Conference proceedings presentation at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Virtual Conference
June 08, 2021
Conference proceedings presentation at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), Virtual Conference
November 15, 2018
Course Project at UNL FINA 812: Life Insurance, Lincoln, Nebraska
October 05, 2018
Course Project at UNL CSCE 990: Deep Learning Seminar, Lincoln, Nebraska
May 07, 2017
Course Project at UNL FINA 855: Capital Markets and Financial Institutions, Lincoln, Nebraska
May 06, 2017
Demo presentation at IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Baltimore, Maryland
December 10, 2014
Conference proceedings presentation at IEEE Global Communications Conference (GlobeCom'14), Austin, Texas