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Liu Liu (Member, IEEE) received the Ph.D. degree in stochastic optimization in artificial intelligence from the University of Sydney, Sydney, NSW, Australia, in 2019.
She is currently an Associate Professor with the Institute of Artificial Intelligence, Beihang University, Beijing, China. Her research interests cover stochastic optimization theory and the design of effective algorithms in machine learning and deep learning, and their applications including distributed learning, low-rank matrix, label analysis, continual learning, curriculum learning, reinforcement learning, and quantum machine learning. She has published more than 30 papers on the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Image Processing, International Journal of Computer Vision, IEEE Transactions on Multimedia, ICML, NeurIPS, CVPR, ICCV, AAAI, and ICDM.
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSno. 8 (2023): 5149-5160
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