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职业迁徙
个人简介
My research focuses on efficient machine learning, embedded sensing and edge computing. I am interested in both theoretical beauty of algorithm and model design, and in solving real-world challenges. I serve on program committees of international conferences. My publications have been accepted at top conferences and journals in machine learning and IoT communities, including ICLR, IEEE/ACM IPSN and ACM ToSN. I received best paper awards at IEEE SECON in 2021, IEEE ICPADS in 2017, at ACM/IEEE IPSN in 2011 and in 2015, and at IEEE PerCom in 2014.
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ERCIM Newsno. 133 (2023): 29-30
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PROCEEDINGS OF THE 2023 THE 2ND ACM WORKSHOP ON DATA PRIVACY AND FEDERATED LEARNING TECHNOLOGIES FOR MOBILE EDGE NETWORK, FEDEDGE 2023pp.131-136, (2023)
arxiv(2023)
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European Conference/Workshop on Wireless Sensor Networkspp.311-312, (2023)
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