Ke He
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| Department | SigCom | ||||
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Université du Luxembourg 29, avenue JF Kennedy L-1855 Luxembourg |
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| Campus Office | JFK Building, E03-317 | ||||
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Ke He received his Master's degree from Guangzhou University (China), in 2021. His research interests focus mainly on signal processing, statistical machine learning, deep learning, and reinforcement learning, particularly in the domain of inference and sequential decision making with deep learning in large-scale problems. Ke joined the Signal Processing & Satellite Communications research group, SIGCOM, headed by Prof. Symeon Chatzinotas and Prof. Björn Ottersten and he will be advised by the former.
Last updated on: Thursday, 02 December 2021
2022
Efficient Memory-Bounded Optimal Detection for GSM-MIMO Systems; ; ; ; ;
in IEEE Transactions on Communications (2022), 70(7), 4359-4372
Learning-Based Joint Channel Prediction and Antenna Selection for Massive MIMO with Partial CSI; ; ;
in IEEE GLOBECOM 2022 proceedings (2022, December)
Toward Optimally Efficient Search With Deep Learning for Large-Scale MIMO Systems; ; ; ; ;
in IEEE Transactions on Communications (2022), 70(5), 3157-3168
Collaborative Cache-Aided Relaying Networks: Performance Evaluation and System Optimization; ; ; ; ;
in IEEE Journal on Selected Areas In Communications (2022)
