Ming Hu

According to our database, Ming Hu authored at least 32 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MIP: CLIP-based Image Reconstruction from PEFT Gradients.

Peiheng Zhou, Ming Hu, Xiaofei Xie, Yihao Huang, Kangjie Chen, Mingsong Chen

CoRR, 2024

Personalized Federated Instruction Tuning via Neural Architecture Search.

Pengyu Zhang, Yingbo Zhou, Ming Hu, Junxian Feng, Jiawen Weng, Mingsong Chen

CoRR, 2024

FedMut: Generalized Federated Learning via Stochastic Mutation.

Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models.

Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Automated Synthesis of Safe Timing Behaviors for Requirements Models Using CCSL.

Ming Hu, Jun Xia, Min Zhang, Xiaohong Chen, Frédéric Mallet, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2023

AIoTML: A Unified Modeling Language for AIoT-Based Cyber-Physical Systems.

Ming Hu, E. Cao, Hongbing Huang, Min Zhang, Xiaohong Chen, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

Accelerating Reinforcement Learning-Based CCSL Specification Synthesis Using Curiosity-Driven Exploration.

Ming Hu, Min Zhang, Frédéric Mallet, Xin Fu, Mingsong Chen

IEEE Trans. Computers, May, 2023

AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems.

Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2023

AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems.

Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen

CoRR, 2023

Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning.

Dengke Yan, Ming Hu, Zeke Xia, Yanxin Yang, Jun Xia, Xiaofei Xie, Mingsong Chen

CoRR, 2023

Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation.

Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2023

Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches.

Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu

CoRR, 2023

FedMR: Federated Learning via Model Recombination.

Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen

CoRR, 2023

Towards Interpretable Federated Learning.

Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu

CoRR, 2023

CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning.

Pengyu Zhang, Yingbo Zhou, Ming Hu, Xin Fu, Xian Wei, Mingsong Chen

CoRR, 2023

GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control.

Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

Proceedings of the IEEE Real-Time Systems Symposium, 2023

Model-Contrastive Learning for Backdoor Elimination.

Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation.

Jun Xia, Yi Zhang, Zhihao Yue, Ming Hu, Xian Wei, Mingsong Chen

CoRR, 2022

GitFL: Adaptive Asynchronous Federated Learning using Version Control.

Ming Hu, Zeke Xia, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2022

FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation.

Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Yang Liu, Mingsong Chen

CoRR, 2022

FedMR: Fedreated Learning via Model Recombination.

Ming Hu, Zhihao Yue, Zhiwei Ling, Xian Wei, Mingsong Chen

CoRR, 2022

FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment.

Zhiwei Ling, Zhihao Yue, Jun Xia, Ming Hu, Ting Wang, Mingsong Chen

CoRR, 2022

Model-Contrastive Learning for Backdoor Defense.

Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen

CoRR, 2022

FedCAT: Towards Accurate Federated Learning via Device Concatenation.

Ming Hu, Tian Liu, Zhiwei Ling, Zhihao Yue, Mingsong Chen

CoRR, 2022

Orthogonal Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting.

Yanhong Fei, Ming Hu, Xian Wei, Mingsong Chen

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Accelerated synthesis of neural network-based barrier certificates using collaborative learning.

Jun Xia, Ming Hu, Xin Chen, Mingsong Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Efficient Federated Learning for Cloud-Based AIoT Applications.

Xinqian Zhang, Ming Hu, Jun Xia, Tongquan Wei, Mingsong Chen, Shiyan Hu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

An Ensemble Learning-Based Cooperative Defensive Architecture Against Adversarial Attacks.

Tian Liu, Yunfei Song, Ming Hu, Jun Xia, Jianning Zhang, Mingsong Chen

J. Circuits Syst. Comput., 2021

Enumeration and Deduction Driven Co-Synthesis of CCSL Specifications using Reinforcement Learning.

Ming Hu, Jiepin Ding, Min Zhang, Frédéric Mallet, Mingsong Chen

Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

2020

DIAVA: A Traffic-Based Framework for Detection of SQL Injection Attacks and Vulnerability Analysis of Leaked Data.

Haifeng Gu, Jianning Zhang, Tian Liu, Ming Hu, Junlong Zhou, Tongquan Wei, Mingsong Chen

IEEE Trans. Reliab., 2020

Quantitative Timing Analysis for Cyber-Physical Systems Using Uncertainty-Aware Scenario-Based Specifications.

Ming Hu, Wenxue Duan, Min Zhang, Tongquan Wei, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2019

Sample-Guided Automated Synthesis for CCSL Specifications.

Ming Hu, Tongquan Wei, Min Zhang, Frédéric Mallet, Mingsong Chen

Proceedings of the 56th Annual Design Automation Conference 2019, 2019