Artykuły udostępnione publicznie: - Ji LiuWięcej informacji
Niedostępne w żadnym miejscu: 6
Adaptive greedy dictionary selection for web media summarization
Y Cong, J Liu, G Sun, Q You, Y Li, J Luo
IEEE Transactions on Image Processing 26 (1), 185-195, 2016
Upoważnienia: Chinese Academy of Sciences, National Natural Science Foundation of China
Differentially private gossip gradient descent
Y Liu, J Liu, T Basar
2018 IEEE Conference on Decision and Control (CDC), 2777-2782, 2018
Upoważnienia: US Department of Defense
Seeing All From a Few: -Norm-Induced Discriminative Prototype Selection
X Zhang, Z Zhu, Y Zhao, D Chang, J Liu
IEEE transactions on neural networks and learning systems 30 (7), 1954-1966, 2018
Upoważnienia: National Natural Science Foundation of China
User attribute discovery with missing labels
Y Cong, G Sun, J Liu, H Yu, J Luo
Pattern Recognition 73, 33-46, 2018
Upoważnienia: National Natural Science Foundation of China
Anomaly detection via adaptive greedy model
D Hou, Y Cong, G Sun, J Liu, X Xu
Neurocomputing 330, 369-379, 2019
Upoważnienia: Chinese Academy of Sciences, National Natural Science Foundation of China
Purify and generate: Learning faithful item-to-item graph from noisy user-item interaction behaviors
Y He, Y Dong, P Cui, Y Jiao, X Wang, J Liu, PS Yu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Upoważnienia: National Natural Science Foundation of China
Dostępne w jakimś miejscu: 62
Tensor Completion for Estimating Missing Values in Visual Data
J Liu, P Musialski, P Wonka, J Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (1), 208-220, 2013
Upoważnienia: Austrian Science Fund
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent
X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu
Advances in neural information processing systems 30, 2017
Upoważnienia: US National Science Foundation, Swiss National Science Foundation
Gradient sparsification for communication-efficient distributed optimization
J Wangni, J Wang, J Liu, T Zhang
Advances in Neural Information Processing Systems 31, 2018
Upoważnienia: US National Science Foundation
Asynchronous decentralized parallel stochastic gradient descent
X Lian, W Zhang, C Zhang, J Liu
International Conference on Machine Learning, 3043-3052, 2018
Upoważnienia: US National Science Foundation, Swiss National Science Foundation
Imram: Iterative matching with recurrent attention memory for cross-modal image-text retrieval
H Chen, G Ding, X Liu, Z Lin, J Liu, J Han
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Upoważnienia: National Natural Science Foundation of China
: Decentralized Training over Decentralized Data
H Tang, X Lian, M Yan, C Zhang, J Liu
International Conference on Machine Learning, 4848-4856, 2018
Upoważnienia: US National Science Foundation, Swiss National Science Foundation
High-entropy pyrochlores with low thermal conductivity for thermal barrier coating materials
F Li, L Zhou, JX Liu, Y Liang, GJ Zhang
Journal of Advanced Ceramics 8, 576-582, 2019
Upoważnienia: National Natural Science Foundation of China
Communication compression for decentralized training
H Tang, S Gan, C Zhang, T Zhang, J Liu
Advances in Neural Information Processing Systems 31, 2018
Upoważnienia: US National Science Foundation
Doublesqueeze: Parallel stochastic gradient descent with double-pass error-compensated compression
H Tang, C Yu, X Lian, T Zhang, J Liu
International Conference on Machine Learning, 6155-6165, 2019
Upoważnienia: US National Science Foundation
Data poisoning attacks on federated machine learning
G Sun, Y Cong, J Dong, Q Wang, L Lyu, J Liu
IEEE Internet of Things Journal 9 (13), 11365-11375, 2021
Upoważnienia: National Natural Science Foundation of China
ZipML: Training linear models with end-to-end low precision, and a little bit of deep learning
H Zhang, J Li, K Kara, D Alistarh, J Liu, C Zhang
International Conference on Machine Learning, 4035-4043, 2017
Upoważnienia: Swiss National Science Foundation
Resrep: Lossless cnn pruning via decoupling remembering and forgetting
X Ding, T Hao, J Tan, J Liu, J Han, Y Guo, G Ding
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Upoważnienia: National Natural Science Foundation of China
Global sparse momentum sgd for pruning very deep neural networks
X Ding, X Zhou, Y Guo, J Han, J Liu
Advances in neural information processing systems 32, 2019
Upoważnienia: National Natural Science Foundation of China
Accelerating stochastic composition optimization
M Wang, J Liu, EX Fang
Journal of Machine Learning Research 18 (105), 1-23, 2017
Upoważnienia: US National Science Foundation, US National Institutes of Health
Informacje na temat publikacji i finansowania automatycznie określa program komputerowy