Zhengxin Yu

30 papers A* 1B 2Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Cost-Aware Model Orchestration for LLM-based Systems.
EuroMLSys@EuroSys
Daria Smirnova, Hamid Nasiri, Marta Adamska, Zhengxin Yu, Peter Garraghan
2026 J jnl
Trust-aware caching-constrained tasks offloading in multi-access edge computing.
Future Gener. Comput. Syst.
Xinyuan Zhu, Fei Hao, Ming Lei, Aziz Nasridinov, Jiaxing Shang, Zhengxin Yu, Longjiang Guo
2025 J jnl
Energy-Aware Data-Driven Model Selection in LLM-Orchestrated AI Systems.
CoRR
Daria Smirnova, Hamid Nasiri, Marta Adamska, Zhengxin Yu, Peter Garraghan
2025 J jnl
Game Theory Empowered Carbon-Intelligent Federated Multiedge Caching for Industrial Internet of Things.
IEEE Internet Things J.
Jie Liang, Zhengxin Yu, Haris Pervaiz, Guhan Zheng, Neeraj Suri
2025 J jnl
Green Prompting.
CoRR
Marta Adamska, Daria Smirnova, Hamid Nasiri, Zhengxin Yu, Peter Garraghan
2025 — conf
Path Planning for Coverage Spraying of Plants in Outdoor Wheeled Mobile Robots.
ICRCA
Weixin Zhang, Zhengxin Yu, Shixin Mao, Xuefeng Zhou, Jia Pan, Haifei Zhu
2025 — conf
Reconfigurable Intelligent Surface Optimized Over-The-Air Control of Networked Dynamic Systems.
INFOCOM WKSHPS
Zhuangkun Wei, Zhengxin Yu, Chenguang Liu, Wenxiu Hu, Prabhat Gautam, Hongjian Sun, Julie A. McCann
2025 J jnl
Resilient Collaborative Caching for Multi-Edge Systems With Robust Federated Deep Learning.
IEEE Trans. Netw.
Zheyi Chen, Jie Liang, Zhengxin Yu, Hongju Cheng, Geyong Min, Jie Li
2025 — conf
Towards Fairness and Green Semantic Communication System: An Anti-Discrimination Federated Learning Approach.
ICC
Guhan Zheng, Zhengxin Yu, Haris Pervaiz, Luyao Zhang, Haejoon Jung, Syed Ali Hassan
2024 J jnl
Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach.
Future Gener. Comput. Syst.
Zheyi Chen, Junjie Zhang, Zhiqin Huang, Pengfei Wang, Zhengxin Yu, Wang Miao
2024 — conf
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection.
ICANN (6)
Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri
2024 J jnl
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection.
CoRR
Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri
2024 J jnl
Performance Analytical Modeling of Mobile Edge Computing for Mobile Vehicular Applications: A Worst-Case Perspective.
IEEE Trans. Mob. Comput.
Wang Miao, Geyong Min, Zhengxin Yu, Xu Zhang
2024 A* conf
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation.
INFOCOM
Luying Zhong, Yueyang Pi, Zheyi Chen, Zhengxin Yu, Wang Miao, Xing Chen, Geyong Min
2024 J jnl
SpreadFGL: Edge-Client Collaborative Federated Graph Learning with Adaptive Neighbor Generation.
CoRR
Luying Zhong, Yueyang Pi, Zheyi Chen, Zhengxin Yu, Wang Miao, Xing Chen, Geyong Min
2023 J jnl
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks.
ACM Trans. Knowl. Discov. Data
Xin Jiang, Zhengxin Yu, Chao Hai, Hongbo Liu, Xindong Wu, Tomás Ward
2023 J jnl
Intelligent Offloading in Blockchain-Based Mobile Crowdsensing Using Deep Reinforcement Learning.
IEEE Commun. Mag.
Zheyi Chen, Zhengxin Yu
2023 — conf
Load Prediction in Edge Computing Using Deep Auto-Regressive Recurrent Networks.
ICC
Zhanghui Liu, Lixian Chen, Zheyi Chen, Yifan Huang, Jie Liang, Zhengxin Yu, Wang Miao
2023 J jnl
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph.
ACM Trans. Priv. Secur.
Yang Lu, Zhengxin Yu, Neeraj Suri
2022 J jnl
PINCH: An Adversarial Extraction Attack Framework for Deep Learning Models.
CoRR
William Hackett, Stefan Trawicki, Zhengxin Yu, Neeraj Suri, Peter Garraghan
2022 — conf
PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework.
MSN
Zhengxin Yu, Yang Lu, Plamen Angelov, Neeraj Suri
2022 J jnl
Privacy-Preserving Federated Deep Learning for Cooperative Hierarchical Caching in Fog Computing.
IEEE Internet Things J.
Zhengxin Yu, Jia Hu, Geyong Min, Zi Wang, Wang Miao, Shancang Li
2022 J jnl
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph.
CoRR
Yang Lu, Zhengxin Yu, Neeraj Suri
2021 — —
Intelligent edge caching based on federated deep learning
Zhengxin Yu
2021 J jnl
Location-Based Robust Beamforming Design for Cellular-Enabled UAV Communications.
IEEE Internet Things J.
Wang Miao, Chunbo Luo, Geyong Min, Yang Mi, Zhengxin Yu
2021 J jnl
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning.
IEEE Trans. Intell. Transp. Syst.
Zhengxin Yu, Jia Hu, Geyong Min, Zhiwei Zhao, Wang Miao, M. Shamim Hossain
2020 J jnl
Edge-Computing-Based Channel Allocation for Deadline-Driven IoT Networks.
IEEE Trans. Ind. Informatics
Weifeng Gao, Zhiwei Zhao, Zhengxin Yu, Geyong Min, Minghang Yang, Wenjie Huang
2020 B conf
Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning.
ICPADS
Zhengxin Yu, Jia Hu, Geyong Min, Han Xu, Jed Mills
2018 B conf
Federated Learning Based Proactive Content Caching in Edge Computing.
GLOBECOM
Zhengxin Yu, Jia Hu, Geyong Min, Haochuan Lu, Zhiwei Zhao, Haozhe Wang, Nektarios Georgalas
2017 J jnl
A Secure Collaborative Spectrum Sensing Strategy in Cyber-Physical Systems.
IEEE Access
Hui Lin, Jia Hu, Jianfeng Ma, Li Xu, Zhengxin Yu