About
I am a researcher at Huawei Technologies CO. LTD. I finished my PhD at the University of Exeter and received both of my B.S. and M.S. from University of Electronic Science and Technology of China (UESTC), majored in Computer Science. My research interest includes cloud and edge computing, learning-based system optimisation, reinforcement learning, and applied machine learning.
Here are some of my recent publications:
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J. Wang, J.Hu, G. Min, Q. Ni, T. El-Ghazawi Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach. IEEE Transactions on Moible Computing 2022.
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J. Wang, J. Hu, J. Mills, G. Min, M. Xia Federated Ensemble Model-based Reinforcement Learning in Edge Computing. arXiv preprint arXiv:2109.05549, 2021.
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J. Wang, J.Hu, G. Min, A. Y. Zomaya, and N. Georgalas, Fast Adaptive Computation Offloading in Edge Computing based on Meta Reinforcement Learning. IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 1, pp. 242–253, 2021.
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J. Wang, J. Hu, G.Min, W. Zhan, Q. Ni, and N. Georgalas, Computation Offloading in Multi-Access Edge Computing Using a Deep Sequential Model Based on Reinforcement Learning. IEEE Communications Magazine, vol. 57, no. 5, pp. 64–69, 2019.
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Z. Wang, J. Hu, G. Min, Z. Zhao, J. Wang, Data Augmentation based Cellular Traffic Prediction in Edge Computing-Enabled Smart City. IEEE Transactions on Industrial Informatics, early access, 2020
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W. Zhan, C. Luo, J. Wang, G. Min, and H. Duan,Deep Reinforcement Learning-based Computation Offloading in Vehicular Edge Computing. IEEE Global Communications Conference (GLOBECOM), 2019.
Here is my google scholar link: https://scholar.google.com/citations?user=3jFEgwQAAAAJ&hl=en-CN.
In normal life, I am a fan of photography and hiking, here is my Instagram.