Підписатись
Li Shen
Li Shen
Associate Professor, Sun Yat-sen University
Підтверджена електронна адреса в mail.sysu.edu.cn - Домашня сторінка
Назва
Посилання
Посилання
Рік
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
639*2020
A sufficient condition for convergences of adam and rmsprop
F Zou*, L Shen*, Z Jie, W Zhang, W Liu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11127 …, 2019
5402019
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
L Zhang, L Shen, L Ding, D Tao, L Duan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
3482022
Towards Making the Most of ChatGPT for Machine Translation
K Peng, L Ding, Q Zhong, L Shen, X Liu, M Zhang, Y Ouyang, D Tao
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
2832023
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
R Dai, L Shen, F He, X Tian, D Tao
The 39th International Conference on Machine Learning (ICML), 2022
1502022
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
1362021
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
S Liu, T Chen, X Chen, L Shen, DC Mocanu, Z Wang, M Pechenizkiy
The Tenth International Conference on Learning Representations (ICLR), 2022
1282022
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
1272022
A Unified Analysis of AdaGrad with Weighted Aggregation and Momentum Acceleration
L Shen, C Chen, F Zou, Z Jie, J Sun, W Liu
IEEE Transactions on Neural Networks and Learning Systems, 2023
107*2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning
E Yang, Z Wang, L Shen, S Liu, G Guo, X Wang, D Tao
The Twelfth International Conference on Learning Representations (ICLR), 2024
892024
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
S Fu, F He, Y Liu, L Shen, D Tao
The Tenth International Conference on Learning Representations (ICLR), 2022
87*2022
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
862021
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Z Qin, Y Fan, Y Liu, L Shen, Y Zhang, J Wang, B Wu
The Thirty-Sixth Annual Conference on Neural Information Processing Systems …, 2022
842022
Understanding Robust Overfitting of Adversarial Training and Beyond
C Yu, B Han, L Shen, J Yu, C Gong, M Gong, T liu
The 39th International Conference on Machine Learning (ICML), 2022
772022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
L Zhang, L Shen, L Yang, S Chen, B Yuan, X Wang, D Tao
The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022
772022
Make Landscape Flatter in Differentially Private Federated Learning
Y Shi, Y Liu, K Wei, L Shen, X Wang, D Tao
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
712023
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
P Mi, L Shen, T Ren, Y Zhou, X Sun, R Ji, D Tao
The Thirty-Sixth Annual Conference on Neural Information Processing Systems …, 2022
712022
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
C Liu, C Lou, R Wang, AY Xi, L Shen, J Yan
The 39th International Conference on Machine Learning (ICML), 2022
662022
Deep Model Fusion: A Survey
W Li, Y Peng, M Zhang, L Ding, H Hu, L Shen
arXiv preprint arXiv:2309.15698, 2023
602023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
N Yin, L Shen, M Wang, L Lan, Z Ma, C Chen, XS Hua, X Luo
The 40th International Conference on Machine Learning (ICML), 2023
60*2023
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