Yawei Zhao
Yawei Zhao
PhD candidate of Computer Science, National University of Defense Technology
Verified email at nudt.edu.cn
Title
Cited by
Cited by
Year
Large-scale k-means clustering via variance reduction
Y Zhao, Y Ming, X Liu, E Zhu, K Zhao, J Yin
Neurocomputing 307, 184-194, 2018
132018
Distributed and asynchronous stochastic gradient descent with variance reduction
Y Ming, Y Zhao, C Wu, K Li, J Yin
Neurocomputing 281, 27-36, 2018
132018
CATS: Cooperative allocation of tasks and scheduling of sampling intervals for maximizing data sharing in WSNs
Y Zhao, D Guo, J Xu, P Lv, T Chen, J Yin
ACM Transactions on Sensor Networks (TOSN) 12 (4), 1-26, 2016
122016
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Y Zhao, C Yu, P Zhao, H Tang, S Qiu, J Liu
arXiv preprint arXiv:1901.10593, 2019
82019
SVRG with adaptive epoch size
E Min, Y Zhao, J Long, C Wu, K Li, J Yin
2017 International Joint Conference on Neural Networks (IJCNN), 2935-2942, 2017
62017
Proximal Online Gradient is Optimum for Dynamic Regret
Y Zhao, S Qiu, J Liu
arXiv preprint arXiv:1810.03594, 2018
42018
Triangle lasso for simultaneous clustering and optimization in graph datasets
Y Zhao, K Xu, E Zhu, X Liu, X Zhu, J Yin
IEEE Transactions on Knowledge and Data Engineering 31 (8), 1610-1623, 2018
32018
ProLFA: Representative prototype selection for local feature aggregation
X Zhang, Z Zhu, Y Zhao, Y Zhao
Neurocomputing 381, 336-347, 2020
12020
Understand Dynamic Regret with Switching Cost for Online Decision Making
Y Zhao, Q Zhao, X Zhang, E Zhu, X Liu, J Yin
arXiv preprint arXiv:1911.12595, 2019
12019
Simultaneous clustering and optimization for evolving datasets
Y Zhao, E Zhu, LIU Xinwang, C Tang, D Guo, J Yin
IEEE Transactions on Knowledge and Data Engineering, 2019
12019
Variance reduced k-means clustering
Y Zhao, Y Ming, X Liu, E Zhu, J Yin
AAAI, 2018
12018
OD-SGD: One-Step Delay Stochastic Gradient Descent for Distributed Training
Y Xu, D Dong, Y Zhao, W Xu, X Liao
ACM Transactions on Architecture and Code Optimization (TACO) 17 (4), 1-26, 2020
2020
Understand Dynamic Regret with Switching Cost for Online Decision Making
Y Zhao, Q Zhao, X Zhang, E Zhu, X Liu, J Yin
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (3), 1-21, 2020
2020
Multi-View Spectral Clustering with Optimal Neighborhood Laplacian Matrix.
S Zhou, X Liu, J Liu, X Guo, Y Zhao, E Zhu, Y Zhai, J Yin, W Gao
AAAI, 6965-6972, 2020
2020
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
Y Zhao, E Zhu, X Liu, J Yin
arXiv preprint arXiv:1812.10186, 2018
2018
A Novel Distributed Variant of Stochastic Gradient Descent and Its Optimization
Y WANG, Y ZHAO, SHI Zhan, J YIN
DEStech Transactions on Computer Science and Engineering, 2016
2016
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