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, under review
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
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, " Exploring the Opportunities and Challenges of Graph Neural Networks in Electrical Engineering," Nature Reviews Electrical Engineering, accepted for publication
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, Gunjan Verma, Ananthram Swami, Santiago Segarra, " Enhanced Backpressure with Wireless Link Features," accepted to IEEE CAMSAP 2023.
Zhongyuan Zhao, Jake Perazzone, Gunjan Verma, Santiago Segarra, " Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks," accepted to IEEE ICASSP 2024.
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," accepted to IEEE ICASSP 2023, arXiv 2211.10748 .
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.
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.