Volgen
Ming Hu
Titel
Geciteerd door
Geciteerd door
Jaar
DIAVA: a traffic-based framework for detection of SQL injection attacks and vulnerability analysis of leaked data
H Gu, J Zhang, T Liu, M Hu, J Zhou, T Wei, M Chen
IEEE Transactions on Reliability 69 (1), 188-202, 2019
742019
Efficient federated learning for cloud-based AIoT applications
X Zhang, M Hu, J Xia, T Wei, M Chen, S Hu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
702020
Personalization as a shortcut for few-shot backdoor attack against text-to-image diffusion models
Y Huang, F Juefei-Xu, Q Guo, J Zhang, Y Wu, M Hu, T Li, G Pu, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21169 …, 2024
29*2024
AIoTML: A Unified Modeling Language for AIoT-Based Cyber-Physical Systems
M Hu, E Cao, H Huang, M Zhang, X Chen, M Chen
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2023
202023
Towards interpretable federated learning
A Li, R Liu, M Hu, LA Tuan, H Yu
arXiv preprint arXiv:2302.13473, 2023
142023
云计算系统可靠性研究综述
段文雪, 胡铭, 周琼, 吴庭明, 周俊龙, 刘晓, 魏同权, 陈铭松
计算机研究与发展 57 (1), 102-123, 2020
14*2020
GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning using Version Control
M Hu, Z Xia, D Yan, Z Yue, J Xia, Y Huang, Y Liu, M Chen
2023 IEEE Real-Time Systems Symposium (RTSS), 145-157, 2023
12*2023
Fedentropy: Efficient device grouping for federated learning using maximum entropy judgment
Z Ling, Z Yue, J Xia, M Hu, T Wang, M Chen
arXiv preprint arXiv:2205.12038, 2022
122022
Quantitative timing analysis for cyber-physical systems using uncertainty-aware scenario-based specifications
M Hu, W Duan, M Zhang, T Wei, M Chen
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
112020
FedMut: Generalized Federated Learning via Stochastic Mutation
M Hu, Y Cao, A Li, Z Li, C Liu, T Li, M Chen, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12528 …, 2024
82024
Enumeration and deduction driven co-synthesis of CCSL specifications using reinforcement learning
M Hu, J Ding, M Zhang, F Mallet, M Chen
2021 IEEE Real-Time Systems Symposium (RTSS), 227-239, 2021
82021
FedCross: Towards accurate federated learning via multi-model cross-aggregation
M Hu, P Zhou, Z Yue, Z Ling, Y Huang, A Li, Y Liu, X Lian, M Chen
2024 IEEE 40th International Conference on Data Engineering (ICDE), 2137-2150, 2024
72024
AdaptiveFL: Adaptive heterogeneous federated learning for resource-constrained AIoT systems
C Jia, M Hu, Z Chen, Y Yang, X Xie, Y Liu, M Chen
Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024
62024
Protect federated learning against backdoor attacks via data-free trigger generation
Y Yang, M Hu, Y Cao, J Xia, Y Huang, Y Liu, M Chen
arXiv preprint arXiv:2308.11333, 2023
62023
Sample-guided automated synthesis for CCSL specifications
M Hu, T Wei, M Zhang, F Mallet, M Chen
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
62019
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems
R Liu, M Hu, Z Xia, J Xia, P Zhang, Y Huang, Y Liu, M Chen
arXiv preprint arXiv:2311.14037, 2023
52023
Orthogonal spatial-temporal graph convolutional networks for traffic flow forecasting
Y Fei, M Hu, X Wei, M Chen
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 71-76, 2022
52022
面向优先车辆感知的交通灯优化控制方法
邵明莉, 曹鹗, 胡铭, 章玥, 陈闻杰, 陈铭松
软件学报 32 (8), 2425-2438, 2021
5*2021
Accelerating reinforcement learning-based CCSL specification synthesis using curiosity-driven exploration
M Hu, M Zhang, F Mallet, X Fu, M Chen
IEEE Transactions on Computers 72 (5), 1431-1446, 2022
42022
Is aggregation the only choice? federated learning via layer-wise model recombination
M Hu, Z Yue, X Xie, C Chen, Y Huang, X Wei, X Lian, Y Liu, M Chen
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
3*2024
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20