Xiangyi Chen

Xiangyi Chen

Ph.D in Computer Science

Northeastern University

Biography

Xiangyi Chen received the Ph.D. degree in computer science from Northeastern University, Shenyang, China, in 2023, supervised by Prof. Hai Zhao and Yuanguo Bi. She was also a Visiting Ph.D. Student in the institute for Computing Systems Architecture, School of Informatics, University of Edinburgh, UK from 2022 to 2023, supervised by Prof. Mahesh K. Marina. She is currently an assistant professor at the School of Computer Science and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China. Her research interests include edge computing, edge AI, software-defined networking, deep reinforcement learning, federated learning, etc.

Interests
  • Artificial Intelligence
  • Mobile Edge Computing
  • Software-Defined Networking
  • Deep Reinforcement Learning
  • Federated Learning
Education
  • Ph.D. student in computing science, 09/2019-07/2023

    Northeastern University

  • visiting Ph.D. student with the Institute for Computing Systems Architecture (ICSA) School of Informatics, 02/2022-01/2023

    University of Edinburgh, Edinburgh, UK.

  • M.S. degree in computer science, 09/2017-07/2019

    Northeastern University

Publications

See more in Google Scholar.
(2023). Federated Learning with Dynamic Epoch Adjustment and Collaborative Training in Mobile Edge Computing. In IEEE Transactions on Mobile Computing.

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(2022). Online content caching and delivery method based on edge horizontal collaboration. In Journal of Northeastern University (Natural Science) (Accepted).

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(2020). Multi-characteristic Subnets Discovery and Analysis Based on Traceroute. In Journal of Northeastern University (Natural Science).

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(2019). ICN Cache Capacity Allocation Mechanism Based on t-SNE Algorithm. In Journal of Zhengzhou University (Natural Science).

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