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Geyong Min

Accelerating Federated Learning with a Global Biased Optimiser


Aug 20, 2021
Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang

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Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks


Aug 20, 2021
Chenyuan Feng, Howard H. Yang, Deshun Hu, Zhiwei Zhao, Tony Q. S. Quek, Geyong Min

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Online Service Migration in Edge Computing with Incomplete Information: A Deep Recurrent Actor-Critic Method


Dec 17, 2020
Jin Wang, Jia Hu, Geyong Min

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Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning


Sep 14, 2020
Jin Wang, Jia Hu, Geyong Min, Albert Y. Zomaya, Nektarios Georgalas

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* Accepted by IEEE Transaction on Parallel and Distributed Systems 
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User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing


Jul 17, 2020
Jed Mills, Jia Hu, Geyong Min

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Routing-Led Placement of VNFs in Arbitrary Networks


Jan 30, 2020
Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas

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Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points


Sep 30, 2019
Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao

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* 32 pages, 22 figures 
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Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework


Jan 27, 2019
He Zhang, Xingrui Yu, Peng Ren, Chunbo Luo, Geyong Min

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* 10 pages, 4 figures 
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Social Computing for Mobile Big Data in Wireless Networks


Sep 30, 2016
Xing Zhang, Zhenglei Yi, Zhi Yan, Geyong Min, Wenbo Wang, Sabita Maharjan, Yan Zhang

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* Computer, vol.49, no. 9, pp. 86-90, Sept. 2016 
 * 8 papges, 3 figures, 1 tables 
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