Zhengxin Yu

According to our database, Zhengxin Yu authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Performance Analytical Modeling of Mobile Edge Computing for Mobile Vehicular Applications: A Worst-Case Perspective.

Wang Miao, Geyong Min, Zhengxin Yu, Xu Zhang

IEEE Trans. Mob. Comput., September, 2024

Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach.

Zheyi Chen, Junjie Zhang, Zhiqin Huang, Pengfei Wang, Zhengxin Yu, Wang Miao

Future Gener. Comput. Syst., 2024

SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation.

Luying Zhong, Yueyang Pi, Zheyi Chen, Zhengxin Yu, Wang Miao, Xing Chen, Geyong Min

Proceedings of the IEEE INFOCOM 2024, 2024

Federated Adversarial Learning for Robust Autonomous Landing Runway Detection.

Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph.

Yang Lu, Zhengxin Yu, Neeraj Suri

ACM Trans. Priv. Secur., August, 2023

Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning.

Zheyi Chen, Zhengxin Yu

IEEE Commun. Mag., June, 2023

DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks.

Xin Jiang, Zhengxin Yu, Chao Hai, Hongbo Liu, Xindong Wu, Tomás Ward

ACM Trans. Knowl. Discov. Data, April, 2023

Load Prediction in Edge Computing Using Deep Auto-Regressive Recurrent Networks.

Zhanghui Liu, Lixian Chen, Zheyi Chen, Yifan Huang, Jie Liang, Zhengxin Yu, Wang Miao

Proceedings of the IEEE International Conference on Communications, 2023

2022

Privacy-Preserving Federated Deep Learning for Cooperative Hierarchical Caching in Fog Computing.

Zhengxin Yu, Jia Hu, Geyong Min, Zi Wang, Wang Miao, Shancang Li

IEEE Internet Things J., 2022

PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models.

William Hackett, Stefan Trawicki, Zhengxin Yu, Neeraj Suri, Peter Garraghan

CoRR, 2022

PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework.

Zhengxin Yu, Yang Lu, Plamen Angelov, Neeraj Suri

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021

Intelligent edge caching based on federated deep learning

Zhengxin Yu

PhD thesis, 2021

Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning.

Zhengxin Yu, Jia Hu, Geyong Min, Zhiwei Zhao, Wang Miao, M. Shamim Hossain

IEEE Trans. Intell. Transp. Syst., 2021

Location-Based Robust Beamforming Design for Cellular-Enabled UAV Communications.

Wang Miao, Chunbo Luo, Geyong Min, Yang Mi, Zhengxin Yu

IEEE Internet Things J., 2021

2020

Edge-Computing-Based Channel Allocation for Deadline-Driven IoT Networks.

Weifeng Gao, Zhiwei Zhao, Zhengxin Yu, Geyong Min, Minghang Yang, Wenjie Huang

IEEE Trans. Ind. Informatics, 2020

Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning.

Zhengxin Yu, Jia Hu, Geyong Min, Han Xu, Jed Mills

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2018

Federated Learning Based Proactive Content Caching in Edge Computing.

Zhengxin Yu, Jia Hu, Geyong Min, Haochuan Lu, Zhiwei Zhao, Haozhe Wang, Nektarios Georgalas

Proceedings of the IEEE Global Communications Conference, 2018

2017

A Secure Collaborative Spectrum Sensing Strategy in Cyber-Physical Systems.

Hui Lin, Jia Hu, Jianfeng Ma, Li Xu, Zhengxin Yu

IEEE Access, 2017