Yawei Zhao
Yawei Zhao
PhD candidate of Computer Science, National University of Defense Technology
Verified email at nudt.edu.cn
TitleCited byYear
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
92018
Distributed and asynchronous Stochastic Gradient Descent with variance reduction
Y Ming, Y Zhao, C Wu, K Li, J Yin
Neurocomputing 281, 27-36, 2018
72018
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
72016
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
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Y Zhao, C Yu, P Zhao, J Liu
arXiv preprint arXiv:1901.10593, 2019
32019
Proximal Online Gradient is Optimum for Dynamic Regret
Y Zhao, S Qiu, J Liu
arXiv preprint arXiv:1810.03594, 2018
22018
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
22018
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
ProLFA: Representative prototype selection for local feature aggregation
X Zhang, Z Zhu, Y Zhao, Y Zhao
Neurocomputing, 2019
2019
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
2019
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
Variance Reduced K-means Clustering
Y Zhao, Y Ming, X Liu, E Zhu, J Yin
Thirty-Second AAAI Conference on Artificial Intelligence, 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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Articles 1–13