Zhengxin Yu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Recurrent Networks

Learning Models

Naive Bayesian Classification

Top Venues

IEEE Internet Things J.

Future Gener. Comput. Syst.

Publications

Luying Zhong, Yueyang Pi, Zheyi Chen, Zhengxin Yu, Wang Miao, Xing Chen, Geyong Min
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation. INFOCOM (2024)
Wang Miao, Geyong Min, Zhengxin Yu, Xu Zhang
Performance Analytical Modeling of Mobile Edge Computing for Mobile Vehicular Applications: A Worst-Case Perspective. IEEE Trans. Mob. Comput. 23 (9) (2024)
Luying Zhong, Yueyang Pi, Zheyi Chen, Zhengxin Yu, Wang Miao, Xing Chen, Geyong Min
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation. CoRR (2024)
Zheyi Chen, Junjie Zhang, Zhiqin Huang, Pengfei Wang, Zhengxin Yu, Wang Miao
Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach. Future Gener. Comput. Syst. 153 (2024)
Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. CoRR (2024)
Zheyi Chen, Zhengxin Yu
Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning. IEEE Commun. Mag. 61 (6) (2023)
Yang Lu, Zhengxin Yu, Neeraj Suri
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. ACM Trans. Priv. Secur. 26 (3) (2023)
Zhanghui Liu, Lixian Chen, Zheyi Chen, Yifan Huang, Jie Liang, Zhengxin Yu, Wang Miao
Load Prediction in Edge Computing Using Deep Auto-Regressive Recurrent Networks. ICC (2023)
Xin Jiang, Zhengxin Yu, Chao Hai, Hongbo Liu, Xindong Wu, Tomás Ward
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks. ACM Trans. Knowl. Discov. Data 17 (3) (2023)
Zhengxin Yu, Yang Lu, Plamen Angelov, Neeraj Suri
PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. MSN (2022)
Zhengxin Yu, Jia Hu, Geyong Min, Zi Wang, Wang Miao, Shancang Li
Privacy-Preserving Federated Deep Learning for Cooperative Hierarchical Caching in Fog Computing. IEEE Internet Things J. 9 (22) (2022)
William Hackett, Stefan Trawicki, Zhengxin Yu, Neeraj Suri, Peter Garraghan
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models. CoRR (2022)
Yang Lu, Zhengxin Yu, Neeraj Suri
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph. CoRR (2022)
Zhengxin Yu, Jia Hu, Geyong Min, Zhiwei Zhao, Wang Miao, M. Shamim Hossain
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning. IEEE Trans. Intell. Transp. Syst. 22 (8) (2021)
Wang Miao, Chunbo Luo, Geyong Min, Yang Mi, Zhengxin Yu
Location-Based Robust Beamforming Design for Cellular-Enabled UAV Communications. IEEE Internet Things J. 8 (12) (2021)
Zhengxin Yu, Jia Hu, Geyong Min, Han Xu, Jed Mills
Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning. ICPADS (2020)
Weifeng Gao, Zhiwei Zhao, Zhengxin Yu, Geyong Min, Minghang Yang, Wenjie Huang
Edge-Computing-Based Channel Allocation for Deadline-Driven IoT Networks. IEEE Trans. Ind. Informatics 16 (10) (2020)
Zhengxin Yu, Jia Hu, Geyong Min, Haochuan Lu, Zhiwei Zhao, Haozhe Wang, Nektarios Georgalas
Federated Learning Based Proactive Content Caching in Edge Computing. GLOBECOM (2018)
Hui Lin, Jia Hu, Jianfeng Ma, Li Xu, Zhengxin Yu
A Secure Collaborative Spectrum Sensing Strategy in Cyber-Physical Systems. IEEE Access 5 (2017)