Ji Wang
Real-time tasks oriented energy-aware scheduling in virtualized clouds
X Zhu, LT Yang, H Chen, J Wang, S Yin, X Liu
IEEE Transactions on Cloud Computing 2 (2), 168-180, 2014
Adversarial attack and defense on graph data: A survey
L Sun, Y Dou, C Yang, K Zhang, J Wang, SY Philip, L He, B Li
IEEE Transactions on Knowledge and Data Engineering, 2022
Not just privacy: Improving performance of private deep learning in mobile cloud
J Wang, J Zhang, W Bao, X Zhu, B Cao, PS Yu
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
Fault-tolerant scheduling for real-time scientific workflows with elastic resource provisioning in virtualized clouds
X Zhu, J Wang, H Guo, D Zhu, LT Yang, L Liu
IEEE Transactions on Parallel and Distributed Systems 27 (12), 3501-3517, 2016
Deep learning towards mobile applications
J Wang, B Cao, P Yu, L Sun, W Bao, X Zhu
2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018
FESTAL: fault-tolerant elastic scheduling algorithm for real-time tasks in virtualized clouds
J Wang, W Bao, X Zhu, LT Yang, Y Xiang
IEEE Transactions on Computers 64 (9), 2545-2558, 2014
Private model compression via knowledge distillation
J Wang, W Bao, L Sun, X Zhu, B Cao, SY Philip
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1190-1197, 2019
SP-Partitioner: A novel partition method to handle intermediate data skew in spark streaming
G Liu, X Zhu, J Wang, D Guo, W Bao, H Guo
Future Generation Computer Systems 86, 1054-1063, 2018
Fault-tolerant scheduling for real-time tasks on multiple earth-observation satellites
X Zhu, J Wang, X Qin, J Wang, Z Liu, E Demeulemeester
IEEE Transactions on Parallel and Distributed Systems 26 (11), 3012-3026, 2014
Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks
X Zhang, X Zhu, J Wang, H Yan, H Chen, W Bao
Information Sciences 540, 242-262, 2020
Layerwise perturbation-based adversarial training for hard drive health degree prediction
J Zhang, J Wang, L He, Z Li, SY Philip
2018 IEEE international conference on data mining (ICDM), 1428-1433, 2018
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning
L Sun, B Cao, J Wang, W Srisa-an, SY Philip, AD Leow, S Checkoway
IEEE Transactions on Mobile Computing 20 (4), 1465-1476, 2020
Meccas: Collaborative storage algorithm based on alternating direction method of multipliers on mobile edge cloud
G Wu, J Chen, W Bao, X Zhu, W Xiao, J Wang, L Liu
2017 IEEE International Conference on Edge Computing (EDGE), 40-46, 2017
Towards collaborative storage scheduling using alternating direction method of multipliers for mobile edge cloud
G Wu, J Chen, W Bao, X Zhu, W Xiao, J Wang
Journal of Systems and Software 134, 29-43, 2017
An attention-augmented deep architecture for hard drive status monitoring in large-scale storage systems
J Wang, W Bao, L Zheng, X Zhu, PS Yu
ACM Transactions on Storage (TOS) 15 (3), 1-26, 2019
A utility-aware approach to redundant data upload in cooperative mobile cloud
J Wang, X Zhu, W Bao, L Liu
2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 384-391, 2016
Flee: A hierarchical federated learning framework for distributed deep neural network over cloud, edge, and end device
Z Zhong, W Bao, J Wang, X Zhu, X Zhang
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (5), 1-24, 2022
Optimal dynamic reserved bandwidth allocation for cloud-integrated cyber-physical systems
G Wu, W Bao, X Zhu, W Xiao, J Wang
IEEE Access 5, 26224-26236, 2017
Analysis and design of fault-tolerant scheduling for real-time tasks on earth-observation satellites
X Zhu, J Wang, J Wang, X Qin
2014 43rd International Conference on Parallel Processing, 491-500, 2014
Distributed learning on mobile devices: a new approach to data mining in the Internet of things
X Zhang, X Zhu, W Bao, LT Yang, J Wang, H Yan, H Chen
IEEE Internet of Things Journal 8 (13), 10264-10279, 2020
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