Jialin Liu
Jialin Liu
Algorithm Engineer, Alibaba DAMO Academy
Verified email at alibaba-inc.com - Homepage
Title
Cited by
Cited by
Year
Theoretical linear convergence of unfolded ista and its practical weights and thresholds
X Chen, J Liu, Z Wang, W Yin
Advances in Neural Information Processing Systems, 9061-9071, 2018
1042018
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
EK Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin
International Conference on Machine Learning (ICML), 2019
802019
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
J Liu, X Chen, Z Wang, W Yin
International Conference on Learning Representations (ICLR), 2019
712019
Learning convolutional sparse coding on complex domain for interferometric phase restoration
J Kang, D Hong, J Liu, G Baier, N Yokoya, B Demir
IEEE transactions on neural networks and learning systems, 2020
312020
Online convolutional dictionary learning
J Liu, C Garcia-Cardona, B Wohlberg, W Yin
Image Processing (ICIP), 2017 IEEE International Conference on, 1707-1711, 2017
312017
First-and Second-Order Methods for Online Convolutional Dictionary Learning
J Liu, C Garcia-Cardona, B Wohlberg, W Yin
SIAM Journal on Imaging Sciences 11 (2), 1589-1628, 2018
252018
Multilevel optimal transport: a fast approximation of Wasserstein-1 distances
J Liu, W Yin, W Li, YT Chow
SIAM Journal on Scientific Computing 43 (1), A193-A220, 2021
162021
Learning to optimize: A primer and a benchmark
T Chen, X Chen, W Chen, H Heaton, J Liu, Z Wang, W Yin
arXiv preprint arXiv:2103.12828, 2021
42021
Learning A Minimax Optimizer: A Pilot Study
J Shen, X Chen, H Heaton, T Chen, J Liu, W Yin, Z Wang
International Conference on Learning Representations (ICLR), 2021
22021
Learning-based Optimization for Signal and Image Processing
J Liu
UCLA, 2020
2020
Averaging random projection: A fast online solution for large-scale constrained stochastic optimization
J Liu, Y Gu, M Wang
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
2015
Learning To Combine Quasi-Newton Methods
M Li, J Liu, W Yin
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Articles 1–12