Suivre
Jialin Liu
Jialin Liu
DAMO Academy, Alibaba Group US
Adresse e-mail validée de alibaba-inc.com
Titre
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Année
Plug-and-play methods provably converge with properly trained denoisers
E Ryu, J Liu, S Wang, X Chen, Z Wang, W Yin
International Conference on Machine Learning, 5546-5557, 2019
2392019
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 31, 2018
2022018
ALISTA: Analytic weights are as good as learned weights in LISTA
J Liu, X Chen
International Conference on Learning Representations (ICLR), 2019
1552019
Learning to optimize: A primer and a benchmark
T Chen, X Chen, W Chen, Z Wang, H Heaton, J Liu, W Yin
The Journal of Machine Learning Research 23 (1), 8562-8620, 2022
822022
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 32 (2), 826-840, 2020
592020
Online convolutional dictionary learning
J Liu, C Garcia-Cardona, B Wohlberg, W Yin
2017 IEEE International Conference on Image Processing (ICIP), 1707-1711, 2017
392017
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
362018
Multilevel optimal transport: a fast approximation of Wasserstein-1 distances
J Liu, W Yin, W Li, YT Chow
SIAM Journal on Scientific Computing, 2021
312021
Learned robust pca: A scalable deep unfolding approach for high-dimensional outlier detection
HQ Cai, J Liu, W Yin
Advances in Neural Information Processing Systems 34, 16977-16989, 2021
182021
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, 2021
172021
Hyperparameter tuning is all you need for lista
X Chen, J Liu, Z Wang, W Yin
Advances in Neural Information Processing Systems 34, 11678-11689, 2021
82021
On representing linear programs by graph neural networks
Z Chen, J Liu, X Wang, J Lu, W Yin
arXiv preprint arXiv:2209.12288, 2022
32022
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
32015
On Representing Mixed-Integer Linear Programs by Graph Neural Networks
Z Chen, J Liu, X Wang, J Lu, W Yin
arXiv preprint arXiv:2210.10759, 2022
22022
Coherence-Guided Complex Convolutional Sparse Coding for Interferometric Phase Restoration
X Ding, J Kang, Z Zhang, Y Huang, J Liu, N Yokoya
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022
12022
Towards Constituting Mathematical Structures for Learning to Optimize
J Liu, X Chen, Z Wang, W Yin, HQ Cai
arXiv preprint arXiv:2305.18577, 2023
2023
Learning-based Optimization for Signal and Image Processing
J Liu
University of California, Los Angeles, 2020
2020
Learning To Combine Quasi-Newton Methods
M Li, J Liu, W Yin
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