Self-supervised temporal graph learning with temporal and structural intensity alignment M Liu, K Liang, Y Zhao, W Tu, S Zhou, X Gan, X Liu, K He IEEE Transactions on Neural Networks and Learning Systems, 2024 | 69 | 2024 |
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 | 53 | 2020 |
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 8 (5), 3444-3457, 2022 | 36 | 2022 |
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 |
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 | 26 | 2018 |
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 | 26 | 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 | 25 | 2019 |
Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data D Hu, K Liang, Z Dong, J Wang, Y Zhao, K He Briefings in Bioinformatics 25 (2), bbae102, 2024 | 19 | 2024 |
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 | 15 | 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 | 14 | 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 | 13 | 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 | 11 | 2020 |
From observation to concept: A flexible multi-view paradigm for medical report generation Z Liu, Z Zhu, S Zheng, Y Zhao, K He, Y Zhao IEEE Transactions on Multimedia 26, 5987-5995, 2023 | 9 | 2023 |
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 | 9 | 2020 |
Proximal online gradient is optimum for dynamic regret Y Zhao, S Qiu, J Liu arXiv preprint arXiv:1810.03594, 2018 | 9 | 2018 |
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 |
The devil is in the boundary: Boundary-enhanced polyp segmentation Z Liu, S Zheng, X Sun, Z Zhu, Y Zhao, X Yang, Y Zhao IEEE Transactions on Circuits and Systems for Video Technology 34 (7), 5414-5423, 2024 | 7 | 2024 |
Sgt++: Improved scene graph-guided transformer for surgical report generation C Lin, Z Zhu, Y Zhao, Y Zhang, K He, Y Zhao IEEE transactions on medical imaging 43 (4), 1337-1346, 2023 | 7 | 2023 |
Medical federated model with mixture of personalized and shared components Y Zhao, Q Liu, P Liu, X Liu, K He IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 6 | 2024 |