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Li Shen
Li Shen
SCUT / Tencent AI Lab / JD Explore Academy
Verified email at jd.com
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2152019
Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ...
arXiv preprint arXiv:2007.13518, 2020
181*2020
Weighted AdaGrad with unified momentum
F Zou*, L Shen*, Z Jie, J Sun, W Liu
arXiv preprint arXiv:1808.03408, 2018
60*2018
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
162020
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Y Tian, L Shen, L Shen, G Su, Z Li, W Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
152021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ...
The Thirty-Fifth Annual Conference on Neural Information Processing Systems …, 2021
152021
A Class of Variable Metric Over-relaxed Hybrid Proximal Extra-gradient Algorithm
L Shen
SCUT, 2017
12*2017
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
112019
Enhanced Balanced Min Cut
X Chen, W Hong, F Nie, JZ Huang, L Shen
International Journal of Computer Vision 128 (7), 2020
102020
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
102019
A Block Decomposition Algorithm for Sparse Optimization
G Yuan, L Shen, WS Zheng
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
9*2020
DAG-GAN: Causal structure learning with generative adversarial nets
Y Gao, L Shen, ST Xia
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
72021
Stochastic Client Selection for Federated Learning with Volatile Clients
T Huang, W Lin, L Shen, K Li, AY Zomaya
IEEE Internet of Things Journal, 2022
62022
Quantized Adam with Error Feedback
C Chen, L Shen, H Huang, W Liu
ACM Transactions on Intelligent Systems and Technology 12 (5), 1–26, 2021
62021
Lightweight image super-resolution with hierarchical and differentiable neural architecture search
H Huang, L Shen, C He, W Dong, H Huang, G Shi
arXiv preprint arXiv:2105.03939, 2021
62021
Attacking adversarial attacks as a defense
B Wu, H Pan, L Shen, J Gu, S Zhao, Z Li, D Cai, X He, W Liu
arXiv preprint arXiv:2106.04938, 2021
52021
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
52020
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
52017
Fedcv: a federated learning framework for diverse computer vision tasks
C He, AD Shah, Z Tang, DFAN Sivashunmugam, K Bhogaraju, M Shimpi, ...
arXiv preprint arXiv:2111.11066, 2021
42021
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
42017
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Articles 1–20