Chong Yu
Orcid: 0000-0002-6244-3486Affiliations:
- University of Cincinnati, Department of Computer Science, OH, USA
- University of Nebraska-Lincoln, Department of Electrical and Computer Engineering, Lincoln, NE, USA (PhD 2023)
According to our database1,
Chong Yu authored at least 25 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
IEEE Trans. Intell. Transp. Syst., November, 2025
Secure and Efficient Federated Learning Against Model Poisoning Attacks in Horizontal and Vertical Data Partitioning.
IEEE Trans. Neural Networks Learn. Syst., June, 2025
Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning.
IEEE Trans. Neural Networks Learn. Syst., March, 2025
IEEE Trans. Serv. Comput., 2025
Hide Yourself: Multi-Dimensional Range Queries for Responses-Hiding Over Outsourced Data.
IEEE Trans. Inf. Forensics Secur., 2025
Beyond Access Pattern: Efficient Volume-Hiding Multi-Range Queries Over Outsourced Data Services.
IEEE Trans. Inf. Forensics Secur., 2025
Multidiffusion Information Centrality for the Identification of Influential Spreaders in Temporal Social Networks.
IEEE Internet Things J., 2025
Towards real-time weed detection and segmentation with lightweight CNN models on edge devices.
Comput. Electron. Agric., 2025
2024
LSPSS: Constructing Lightweight and Secure Scheme for Private Data Storage and Sharing in Aerial Computing.
IEEE Trans. Serv. Comput., 2024
Privacy-Preserving Anomaly Detection of Encrypted Smart Contract for Blockchain-Based Data Trading.
IEEE Trans. Dependable Secur. Comput., 2024
Explore Patterns to Detect Sybil Attack during Federated Learning in Mobile Digital Twin Network.
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the IEEE International Conference on Communications, 2024
2023
Privacy-Preserving Task Allocation and Decentralized Dispute Protocol in Mobile Crowdsourcing.
Proceedings of the IEEE International Conference on Communications, 2023
2022
Leveraging Energy, Latency, and Robustness for Routing Path Selection in Internet of Battlefield Things.
IEEE Internet Things J., 2022
Energy-Aware Device Scheduling for Joint Federated Learning in Edge-assisted Internet of Agriculture Things.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
Efficient Multi-Layer Stochastic Gradient Descent Algorithm for Federated Learning in E-health.
Proceedings of the IEEE International Conference on Communications, 2022
Collaborative Edge Caching with Personalized Modeling of Content Popularity over Indoor Mobile Social Networks.
Proceedings of the IEEE International Conference on Communications, 2022
2021
Adaptive Artificial Intelligence for Resource-Constrained Connected Vehicles in Cybertwin-Driven 6G Network.
IEEE Internet Things J., 2021
Adaptive and Dynamic Security in AI-Empowered 6G: From an Energy Efficiency Perspective.
IEEE Commun. Stand. Mag., 2021
Communication-Efficient Federated Learning for Connected Vehicles with Constrained Resources.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
Exploiting Feature Interactions for Malicious Website Detection with Overhead-accuracy Tradeoff.
Proceedings of the ICC 2021, 2021
Exploiting Ensemble Learning for Edge-assisted Anomaly Detection Scheme in e-healthcare System.
Proceedings of the IEEE Global Communications Conference, 2021
2019
Brain Network Modeling Based on Mutual Information and Graph Theory for Predicting the Connection Mechanism in the Progression of Alzheimer's Disease.
Entropy, 2019
2018
Modeling and Performance of the IEEE 802.11p Broadcasting for Intra-Platoon Communication.
Sensors, 2018
Energy-Efficient and Fault-Tolerant Evolution Models Based on Link Prediction for Large-Scale Wireless Sensor Networks.
IEEE Access, 2018