| 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 Proceedings of the AAAI conference on artificial intelligence 34 (04), 6965-6972, 2020 | 44 | 2020 |
| Distributed and asynchronous stochastic gradient descent with variance reduction Y Ming, Y Zhao, C Wu, K Li, J Yin Neurocomputing 281, 27-36, 2018 | 27 | 2018 |
| 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 | 26 | 2019 |
| 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 | 24 | 2018 |
| 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 | 23 | 2018 |
| Self-supervised temporal graph learning with temporal and structural intensity alignment M Liu, K Liang, Y Zhao, W Tu, S Zhou, X Liu, K He arXiv preprint arXiv:2302.07491, 2023 | 22 | 2023 |
| Secure task offloading for MEC-aided-UAV system P Chen, X Luo, D Guo, Y Sun, J Xie, Y Zhao, R Zhou IEEE Transactions on Intelligent Vehicles, 2022 | 22 | 2022 |
| MCFsyn: A multi-party set reconciliation protocol with the marked cuckoo filter L Luo, D Guo, Y Zhao, O Rottenstreich, RTB Ma, X Luo IEEE Transactions on Parallel and Distributed Systems 32 (11), 2705-2718, 2021 | 15 | 2021 |
| 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 | 14 | 2016 |
| 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 | 12 | 2020 |
| Proximal online gradient is optimum for dynamic regret: A general lower bound Y Zhao, S Qiu, K Li, L Luo, J Yin, J Liu IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7755-7764, 2021 | 10 | 2021 |
| 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 | 10 | 2020 |
| Proximal online gradient is optimum for dynamic regret Y Zhao, S Qiu, J Liu arXiv preprint arXiv:1810.03594, 2018 | 9 | 2018 |
| Efficient risk-averse request allocation for multi-access edge computing Y Li, D Guo, Y Zhao, X Cao, H Chen IEEE Communications Letters 25 (2), 533-537, 2020 | 8 | 2020 |
| 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 | 8 | 2017 |
| ProLFA: Representative prototype selection for local feature aggregation X Zhang, Z Zhu, Y Zhao, Y Zhao Neurocomputing 381, 336-347, 2020 | 4 | 2020 |
| Multiset synchronization with counting cuckoo filters S Li, L Luo, D Guo, Y Zhao Wireless Algorithms, Systems, and Applications: 15th International …, 2020 | 4 | 2020 |
| Simultaneous clustering and optimization for evolving datasets Y Zhao, E Zhu, X Liu, C Tang, D Guo, J Yin IEEE Transactions on Knowledge and Data Engineering 33 (1), 259-270, 2019 | 4 | 2019 |
| Stable cuckoo filter for data streams S Li, L Luo, D Guo, Y Zhao 2021 IEEE 27th International Conference on Parallel and Distributed Systems …, 2021 | 3 | 2021 |
| Decentralized online learning: Take benefits from others’ data without sharing your own to track global trend W Wu, Z Li, Y Zhao, C Yu, P Zhao, J Liu, K He ACM Transactions on Intelligent Systems and Technology 14 (1), 1-22, 2022 | 2 | 2022 |
Xinwang LiuSenior Member of IEEE and CCF, NUDTVerified email at nudt.edu.cn
