孙宇璇(Sun, Yuxuan)

Postdoctoral Researcher
Niulab
Department of Electronic Engineering
Tsinghua University

Google  Scholar

Biography
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 at the Information Processing and Communications (IPC) Lab, Department of Electrical and Electronic Engineering, Imperial College London. From October 2018 to April 2019, she has been a visiting student at the IPC Lab. She was the recipient of the Best Student Award of Tsinghua - Intel collaborative research institute - mobile networking and computing center in 2018. She has been serving as the assistant to the editor-in-chief of IEEE Transactions on Green Communications and Networking since August 2020. Her research interests lie in the areas of mobile edge computing, edge learning and vehicular networks.

Education
• 2015.08-2020.07   Ph.D in Information and Communication Engineering, Tsinghua University
• 2011.09-2015.07     B.S. in Telecommunications Engineering, Tianjin University

Working and Visiting Experience
• 2020.07-  Postdoctoral Researcher, NIULAB, Department of Electronic Engineering, Tsinghua University
• 2020.07-  Visiting Researcher, Information Processing and Communications Lab, Department of Electrical and Electronic Engineering, Imperial College London
• 2020.08-   Assistant to the Editor-in-Chief, IEEE Trans. Green Commun. Netw.
• 2018.10-2019.04  Visiting Student, Information Processing and Communications Lab, Department of Electrical and Electronic Engineering, Imperial College London

Selected Publications   (Full List)
Journal Papers
• Y. Sun, F. Zhang, J. Zhao, S. Zhou, Z. Niu, and D. Gunduz, "Coded Computation across Shared Heterogeneous Workers with Communication Delay," IEEE Trans. Signal Process., revised. [arXiv:2109.11246]
• Y. Sun, S. Zhou, Z. Niu, and D. Gunduz, "Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints", IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 227-242, Jan. 2022.
• Z. Niu, S. Zhou, Y. Sun, "Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions," Journal on Communications, 2022, 43(2): 1-14. [In Chinese]
• F. Zhang, Y. Sun*, and S. Zhou, "Coded Computation over Heterogeneous Workers with Random Task Arrivals," IEEE Commun. Lett., vol. 25, no. 7, pp. 2338-2342, July 2021.
• Y. Sun, S. Zhou, and Z. Niu, "Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm," IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 1138-1151, Feb. 2021.
• Y. Sun, W. Shi, X. Huang, S. Zhou, and Z. Niu, "Edge Learning with Timeliness Constraints: Challenges and Solutions," IEEE Commun. Mag., vol. 58, no. 12, pp. 27-33, Dec. 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.
• 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.

Conference Papers
• Y. Sun, S. Zhou, Z. Niu, and D. Gunduz, "Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning," IEEE Int. Conf. Commun. (ICC), May 2022. [arXiv:2202.08420]
• Y. Jia, R. Mao, Y. Sun, S. Zhou, and Z. Niu, "Online V2X Scheduling for Raw-Level Cooperative Perception," IEEE Int. Conf. Commun. (ICC), May 2022. [arXiv:2202.06085]
• 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.
• 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, X. Guo, S. Zhou, Z. Jiang, X. Liu, and Z. Niu, "Learning-Based Task Offloading for Vehicular Cloud Computing Systems," IEEE Int. Conf. Commun. (ICC), Kansas City, MO, USA, May 2018.

Contact
Room 3-326, FIT Building,
Tsinghua University, Beijing 100084, China.
Tel: +86-10-62773634
Email: sunyuxuan@tsinghua.edu.cn; yxsun@bjtu.edu.cn