Li Shen(沈力)
Li Shen(沈力)
Tencent AI Lab
Verified email at tencent.com - Homepage
Title
Cited by
Cited by
Year
A Sufficient Condition for Convergences of Adam and RMSProp
F Zou*, L Shen*, Z Jie, W Zhang, W Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
542019
Weighted AdaGrad with unified momentum
F Zou, L Shen, Z Jie, J Sun, W Liu
arXiv preprint arXiv:1808.03408, 2018
26*2018
Weighted iteration complexity of the sPADMM on the KKT residuals for convex composite optimization
L Shen, S Pan
arXiv preprint arXiv:1611.03167, 2016
52016
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem
G Yuan, L Shen, WS Zheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
42019
Inexact indefinite proximal ADMMs for 2-block separable convex programs and applications to 4-block DNNSDPs
L Shen, S Pan
arXiv preprint arXiv:1505.04519, 2015
42015
Linear convergence of the generalized PPA and several splitting methods for the composite inclusion problem
L Shen, S Pan
arXiv preprint arXiv:1508.05156, 2015
32015
A Block Decomposition Algorithm for Sparse Optimization
G Yuan, L Shen, WS Zheng
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
2*2020
Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, M Zhang, H Wang, X Wang, P Vepakomma, A Singh, ...
arXiv preprint arXiv:2007.13518, 2020
22020
GSOS: Gauss-Seidel operator splitting algorithm for multi-term nonsmooth convex composite optimization
L Shen, W Liu, G Yuan, S Ma
Proceedings of the 34th International Conference on Machine Learning (ICML), 2017
22017
Over relaxed hybrid proximal extragradient algorithm and its application to several operator splitting methods
L Shen
Journal of Mathematical Analysis and Applications 448 (2), 727-749, 2017
22017
Adaptive proximal average approximation for composite convex minimization
L Shen, W Liu, J Huang, YG Jiang, S Ma
Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017
22017
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Y Tian, L Shen, L Shen, G Su, Z Li, W Liu
arXiv preprint arXiv:2006.09134, 2020
12020
Enhanced Balanced Min Cut
X Chen, W Hong, F Nie, JZ Huang, L Shen
International Journal of Computer Vision, 1-14, 2020
12020
MAP Inference Via -Sphere Linear Program Reformulation
B Wu, L Shen, T Zhang, B Ghanem
International Journal of Computer Vision, 1-24, 2020
12020
Discrete Trust-aware Matrix Factorization for Fast Recommendation
G Guo, E Yang, L Shen, X Yang, X He
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
12019
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method
L Shen, P Sun, Y Wang, W Liu, T Zhang
Proceedings of the 35th International Conference on Machine Learning (ICML), 2018
12018
A corrected semi-proximal ADMM for multi-block convex optimization and its application to DNN-SDPs
L Shen, S Pan
arXiv preprint arXiv:1502.03194, 2015
12015
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Z Guo, M Liu, Z Yuan, L Shen, W Liu, T Yang
Proceedings of the 37th International Conference on Machine Learning (ICML), 2020
2020
Task-agnostic Temporally Consistent Facial Video Editing
M Cao, H Huang, H Wang, X Wang, L Shen, S Wang, L Bao, Z Li, J Luo
arXiv preprint arXiv:2007.01466, 2020
2020
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning
J An, T Li, H Huang, L Shen, X Wang, Y Tang, J Ma, W Liu, J Luo
arXiv preprint arXiv:2006.09029, 2020
2020
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