Yuxuan Sun received the B.S. degree in telecommunications engineering from Tianjin University, Tianjin, China in 2015, and the Ph.D degree in information and communication engineering from Tsinghua University, Beijing, China in 2020. She is currently a postdoctoral researcher at the Department of Electronic Engineering, Tsinghua University, and a visiting researcher of the Intelligent Systems and Networks (ISN) group at Imperial College London. From Oct. 2018 to Apr. 2019, she was a visiting student at the ISN group. She is the recipient of the Best Student Award of Tsinghua - Intel collaborative research institute - mobile networking and computing center in 2018. She serves as the Assistant to the editor-in-chief of IEEE Transactions on Green Communications and Networking, and a reviewer of the IEEE TWC, TVT, TCCN, TMC, TGCN and CL. Her research interests lie in the areas of mobile edge computing and edge learning.
Publications
- Y. Sun, S. Zhou, and Z. Niu, “Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm,” IEEE. Trans. Wireless Commun., under revision. [Online] https://arxiv.org/abs/2002.08833
- W. Shi, Y. Sun, X. Huang, S. Zhou, and Z. Niu, “Scheduling Policies for Federated Learning in Wireless Networks: An Overview,” ZTE Communications, vol. 18, no. 2, pp. 11-19, Jun. 2020.
- S. Zhou, Y. Sun, Z. Jiang, and Z. Niu, “Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks,” IEEE Commun. Mag., vol. 57, no. 5, pp. 49-55, May 2019.
- Y. Sun, X. Guo, J. Song, S. Zhou, Z. Jiang, X. Liu, and Z. Niu, “Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems,” IEEE Trans. Veh. Technol., vol. 68, no. 4, pp. 3061-3074, Apr. 2019.
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Y. Sun, S. Zhou, and J. Xu, “EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks,” IEEE J. Sel. Areas Commun., vol. 35, no. 11, pp. 2637-2646, Nov. 2017.
- Y. Sun, S. Zhou, and D. Gunduz, “Energy-Aware Analog Aggregation for Federated Learning with Redundant Data,” IEEE Int. Conf. Commun. (ICC), Dublin, Ireland, Jun. 2020.
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Y. Sun, J. Zhao, S. Zhou, and D. Gunduz, “Heterogeneous Coded Computation across Heterogeneous Workers,” IEEE Global Commun. Conf. (GLOBECOM), Waikoloa, HI, USA, Dec. 2019. (IEEE Comsoc Student Travel Grants)
- Y. Sun, J. Song, S. Zhou, X. Guo, and Z. Niu, “Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach,” IEEE Global Commun. Conf. (GLOBECOM), Abu Dhabi, UAE, Dec. 2018.
- Y. Sun, J. Song, S. Zhou, X. Guo, and Z. Niu, “Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach,” IEEE Global Commun. Conf. (GLOBECOM), Abu Dhabi, UAE, Dec. 2018.
- J. Xu, Y. Sun, L. Chen, and S. Zhou, “E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing,” IEEE Int. Conf. Commun. (ICC), Paris, France, May 2017.
