Chong Yu

Dr. Yu's research interests include wireless and mobile networks, data analytics and processing, and the Internet of Things.

Homepage: https://homepages.uc.edu/~yuc5/
 

Bachelor of Science in Communication Engineering: Northeastern University, Shenyang, China, 2015

Master of Science in Communication and Information System: Northeastern University, Shenyang, China, 2017

Ph.D. in Electrical and Computer Engineering: University of Nebraska-Lincoln, Lincoln, USA, 2023

Peer Reviewed Publications

C. Yu, S. Shen, H. Yang, K. Zhang and H. Zhao (2022. ) Leveraging Energy, Latency and Robustness for Routing Path Selection in Internet of Battlefield Things . IEEE Internet of Things Journal, , 9 (14 ) ,12601 -12613

C. Yu, S. Shen, K. Zhang, H. Zhao, and Y. Shi (2022. ) Energy-Aware Device Scheduling for Joint Federated Learning in Edge-assisted Internet of Agriculture Things . in Proc. of IEEE WCNC'22, , 1140 -1145

C. Yu, S. Shen, S. Wang, K. Zhang, and H. Zhao (2022. ) Efficient Multi-Layer Stochastic Gradient Descent Algorithm for Federated Learning in E-health . in Proc. of IEEE ICC'22, , 1263 -1268

S. Shen, C. Yu, K. Zhang, and S. Ci (2022. ) Collaborative Edge Caching with Personalized Modeling of Content Popularity over Indoor Mobile Social Networks . in Proc. of IEEE ICC'22, , 4114 -4119

S. Shen, C. Yu, K. Zhang, J. Ni, and S. Ci (2021. ) Adaptive Artificial Intelligence for Resource-Constrained Connected Vehicles in Cybertwin-Driven 6G Network . IEEE Internet of Things Journal, , 8 (22 ) ,16269 -16278

S. Shen, C. Yu, K. Zhang, J. Ni, and S. Ci (2021. ) Adaptive and Dynamic Security in AI-Empowered 6G: From an Energy Efficiency Perspective . IEEE Communications Standards Magazine, , 5 (3 ) ,80 -88

S. Shen, C. Yu, K. Zhang, X. Chen, H. Chen, and S. Ci (2021. ) Communication-Efficient Federated Learning for Connected Vehicles with Constrained Resources . in Proc. of IEEE IWCMC'21, , 1636 -1641

W. Yao, K. Zhang, C. Yu, and H. Zhao (2021. ) Exploiting Ensemble Learning for Edge-assisted Anomaly Detection Scheme in e-healthcare System . in Proc. of IEEE Globecom'21, , 1 -7

S. Shen, C. Yu, K. Zhang, and S. Ci (2021. ) Exploiting Feature Interactions for Malicious Website Detection with Overhead-accuracy Tradeoff . in Proc. of IEEE ICC'21, , 1 -7

C. Yu, S. Si, H. Guo, and H. Zhao (2018. ) Modeling and Performance of the IEEE 802.11p Broadcasting for Intra-Platoon Communication . Sensors, , 18 (9 ) ,2971 -2986

C. Yu, S. Shen, S. Wang, K. Zhang, and H. Zhao, (2024. ) Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning .IEEE Transactions on Neural Networks and Learning Systems, ,

Data Structures Level:Undergraduate

Rhodes Hall 887
yuc5@ucmail.uc.edu