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Ying Cui received her B.Eng degree in Electronic and Information Engineering from Xi’an Jiao Tong University, China, in 2007, and her Ph.D. degree from the Hong Kong University of Science and Technology, Hong Kong SAR, China, in 2012.
She held visiting positions at Yale University, US, in 2011 and Macquarie University, Australia, in 2012.
From June 2012 to June 2013, she was a postdoctoral research associate at Northeastern University, US. From July 2013 to December 2014, she was a postdoctoral research associate at the Massachusetts Institute of Technology, US.
From January 2015 to July 2022, she was an associate professor at Shanghai Jiao Tong University, China.
Since August 2022, she has been an associate professor with the IoT Thrust at The Hong Kong University of Science and Technology (Guangzhou), China, and an affiliate associate professor with the ECE Department at The Hong Kong University of Science and Technology, Hong Kong SAR, China.
She has published more than 70 papers in prestigious IEEE journals and 70 papers in leading IEEE conferences.
She was selected to the Thousand Talents Plan for Young Professionals of China in 2014.
She received Best Paper Awards from IEEE ICC 2015 and IEEE GLOBECOM 2021.
She serves as an Editor for the IEEE Transactions on Wireless Communications.

[2023.01] “Joint device activity detection, channel estimation and signal detection for massive grant-free access via BiGAMP," to appear in IEEE Trans. Signal Process., 2023.
[2023.01] “Optimization-based block coordinate gradient coding for mitigating partial stragglers in distributed learning," to appear in IEEE Trans. Signal Process., 2023.
[2023.01] “Optimization-based quantized federated learning for general edge computing systems," to appear in IEEE ICC, 2023.
[2022.11] “Analysis and optimization of a double-IRS cooperatively assisted system with a quasi-static phase shift design," to appear in IEEE Trans. Wireless Commun., 2022.
[2022.10] “Statistical device activity detection for OFDM-based massive grant-free access," to appear in IEEE Trans. Wireless Commun., 2022.
[2022.10] "An optimization framework for general rate splitting for general multicast," to appear in IEEE Trans. Wireless Commun., 2022.
[2022.08] “An optimization framework for federated edge learning," to appear in IEEE Trans. Wireless Commun., 2022.
[2022.06] “Energy-efficient cooperative offloading for edge computing-enabled vehicular networks," to appear in IEEE Trans. Wireless Commun., 2022.
[2022.05] Three papers to appear in Proc. of IEEE SPAWC, 2022.

shanghai jiao tong university