Urmăriți
Qiuwei Li
Qiuwei Li
DAMO Academy, Alibaba Group US
Adresă de e-mail confirmată pe math.ucla.edu - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Global optimality in low-rank matrix optimization
Z Zhu, Q Li, G Tang, MB Wakin
IEEE Transactions on Signal Processing 66 (13), 3614 - 3628, 2018
1532018
The nonconvex geometry of low-rank matrix optimization
Q Li, Z Zhu, G Tang
Information and Inference: A Journal of the IMA 8 (1), 51-96, 2018
132*2018
Handbook of robust low-rank and sparse matrix decomposition: Applications in image and video processing
T Bouwmans, NS Aybat, E Zahzah
Chapman and Hall/CRC, 2016
1182016
The global optimization geometry of low-rank matrix optimization
Z Zhu, Q Li, G Tang, MB Wakin
IEEE Transactions on Information Theory 67 (2), 1308-1331, 2021
95*2021
JFB: Jacobian-free backpropagation for implicit networks
SW Fung, H Heaton, Q Li, D McKenzie, S Osher, W Yin
Proceedings of the AAAI Conference on Artificial Intelligence, 2022
92*2022
Alternating optimization of sensing matrix and sparsifying dictionary for compressed sensing
H Bai, G Li, S Li, Q Li, Q Jiang, L Chang
IEEE Transactions on Signal Processing 63 (6), 1581-1594, 2015
672015
Alternating minimizations converge to second-order optimal solutions
Q Li, Z Zhu, G Tang
International Conference on Machine Learning, 3935-3943, 2019
582019
Approximate support recovery of atomic line spectral estimation: A tale of resolution and precision
Q Li, G Tang
Applied and Computational Harmonic Analysis 48 (3), 891-948, 2020
512020
Dropping symmetry for fast symmetric nonnegative matrix factorization
Z Zhu, X Li, K Liu, Q Li
Proceedings of the 32nd International Conference on Neural Information …, 2018
442018
Geometry of factored nuclear norm regularization
Q Li, Z Zhu, G Tang
arXiv preprint arXiv:1704.01265, 2017
322017
Provable Bregman-divergence based methods for nonconvex and non-Lipschitz problems
Q Li, Z Zhu, G Tang, MB Wakin
arXiv preprint arXiv:1904.09712, 2019
272019
Optimized structured sparse sensing matrices for compressive sensing
T Hong, X Li, Z Zhu, Q Li
Signal processing 159, 119-129, 2019
262019
Learn to predict equilibria via fixed point networks
H Heaton, D McKenzie, Q Li, SW Fung, S Osher, W Yin
arXiv preprint arXiv:2106.00906 3, 2021
252021
Overcomplete tensor decomposition via convex optimization
Q Li, A Prater, L Shen, G Tang
2015 IEEE 6th International Workshop on Computational Advances in Multi …, 2015
222015
Distributed low-rank matrix factorization with exact consensus
Z Zhu, Q Li, X Yang, G Tang, MB Wakin
Advances in Neural Information Processing Systems 32, 2019
19*2019
The global geometry of centralized and distributed low-rank matrix recovery without regularization
S Li, Q Li, Z Zhu, G Tang, MB Wakin
IEEE Signal Processing Letters 27, 1400-1404, 2020
172020
Spherical principal component analysis
K Liu, Q Li, H Wang, G Tang
Proceedings of the 2019 SIAM international conference on data mining, 387-395, 2019
132019
On collaborative compressive sensing systems: The framework, design, and algorithm
Z Zhu, G Li, J Ding, Q Li, X He
SIAM Journal on imaging sciences 11 (2), 1717-1758, 2018
132018
Convex and nonconvex geometries of symmetric tensor factorization
Q Li, G Tang
2017 51st Asilomar Conference on Signals, Systems, and Computers, 305-309, 2017
122017
Projection matrix optimization for block-sparse compressive sensing
S Li, Z Zhu, G Li, L Chang, Q Li
2013 IEEE International Conference on Signal Processing, Communication and …, 2013
92013
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–20