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Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices, , , and . CoRR, (2009)Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications, , , , , and . (2020)cite arxiv:2001.06970Comment: QQ and ZZ contributed equally to the work. Invited review paper for IEEE Signal Processing Magazine Special Issue on non-convex optimization for signal processing and machine learning. This article contains 26 pages with 11 figures.Efficient quantum tomography II., and . CoRR, (2016)Efficient quantum tomography., and . CoRR, (2015)MIP*=RE, , , , and . (2020)cite arxiv:2001.04383Comment: 206 pages. v2: Updated to use arXiv:2009.12982. New appendix.Decision trees, protocols and the entropy-influence conjecture., , and . ITCS, page 67-80. ACM, (2014)Exploring the implementation of an electronic record into a maternity unit: a qualitative study using Normalisation Process Theory., , , , , and . BMC Medical Informatics Decis. Mak., 17 (1): 4:1-4:10 (2017)ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction., , , , , and . CoRR, (2021)Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization., , , , and . NIPS, page 2080-2088. Curran Associates, Inc., (2009)Endogenous Fluorescence Lifetime Imaging (FLIM) Endoscopy For Early Detection Of Oral Cancer And Dysplasia., , , , , , , , , and . EMBC, page 3009-3012. IEEE, (2018)