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Zheng Chen

Associate Professor, Docent

Zheng Chen is an Associate Professor at the Division of Communication Systems, Department of Electrical Engineering, Linköping University, Sweden.

She received her B.Sc. degree in Optoelectronics from Huazhong University of Science and Technology (HUST), China, in 2011. Then she received the M.Sc. degree in 2013 and Ph.D. degree in 2016, both from CentraleSupélec, Université Paris-Saclay, France. She has been working at Linköping University since 2017.

Research interests

Her research interests span over a wide range of areas, including stochastic geometry and its applications, distributed machine learning over wireless networks, and information dissemination over complex networks.

Her publications can be found on the Google Scholar page.

Awards and Activities

• She was the recipient of the 2020 IEEE Communications Society Young Author Best Paper Award
• She is currently an Associate Editor at IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, and IEEE Transactions on Green Communications and Networking

Grants and Projects

Swedish Research Council (VR) starting grant for research on “Next-Generation Communication Design for Distributed Intelligence over Wireless Networks”, 2023-2027.
Wallenberg AI, Autonomous Systems and Software Program (WASP) academic PhD student project on “Decentralized Machine Learning over Large-Scale Wireless Device-to-Device Networks”, 2023-2028.
• Zenith project grant for research on “Wireless Network Design for Decentralized Machine Learning”, since 2021.
Knut and Alice Wallenberg research grant for the project “Turning the air into an AI computer”. The project is led by Erik G. Larsson (LiU).

Teaching

She is currently teaching two Master-level courses as course director and examiner:

TSKS01 Digital Communication
TSIN01 Information Networks

Ph.D. Supervision

She is the main supervisor of:

Adrian Edin
David Nordlund
Yuhang Deng

and co-supervisor of the following Ph.D. students at the Division of Communication Systems:

Chung-Hsuan Hu
Jianan Bai
Daniel Pérez Herrera
Martin Dahl

Research

Publications

Adrian Edin, Zheng Chen,  Over-the-Air Federated Learning with Compressed Sensing: Is Sparsification Necessary?, 2024 IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING FOR COMMUNICATION AND NETWORKING, ICMLCN 2024, pp. 287-292, IEEE (2024)  https://doi.org/10.1109/ICMLCN59089.2024.10625081

Daniel Pérez Herrera, Zheng Chen, Erik G. Larsson, Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks (2024)  https://arxiv.org/abs/2401.13779

David Nordlund, Jialing Liao, Zheng Chen,  Byzantine-Resilient Hierarchical Federated Learning with Clustered Over-The-Air Aggregation, 2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW 2024, pp. 715-719, IEEE (2024)  https://doi.org/10.1109/ICASSPW62465.2024.10626690

Morteza Tavana, Zheng Chen, Emil Bjornson,  Dynamic Queue-Aware RF Charging of Zero-Energy Devices via Reconfigurable Surfaces, IEEE Wireless Communications Letters 13:2551-2555 (2024)  https://doi.org/10.1109/LWC.2024.3426095

Zheng Chen, Erik G Larsson, Carlo Fischione, Mikael Johansson, Yura Malitsky,  Over-the-Air Computation for Distributed Systems: Something Old and Something New, IEEE Network 37:240-246 (2023)  https://doi.org/10.1109/MNET.126.2200205

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