Ming Hu

According to our database, Ming Hu authored at least 46 papers between 2019 and 2024.

Collaborative distances:

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

2024

Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization.

Anran Li, Guangjing Wang, Ming Hu, Jianfei Sun, Lan Zhang, Luu Anh Tuan, Han Yu

IEEE Trans. Mob. Comput., December, 2024

CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance.

Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios.

Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

FOSS: Towards Fine-Grained Unknown Class Detection Against the Open-Set Attack Spectrum With Variable Legitimate Traffic.

Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, Wenrui Ma

IEEE/ACM Trans. Netw., October, 2024

Texture Re-Scalable Universal Adversarial Perturbation.

Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu

IEEE Trans. Inf. Forensics Secur., 2024

Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?

Kaixuan Li, Yue Xue, Sen Chen, Han Liu, Kairan Sun, Ming Hu, Haijun Wang, Yang Liu, Yixiang Chen

Proc. ACM Softw. Eng., 2024

NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing.

Fei Gao, Ming Hu, Zhiyu Xie, Peichang Shi, Xiaofei Xie, Guodong Yi, Huaimin Wang

CoRR, 2024

An Empirical Study of Vulnerability Detection using Federated Learning.

Peiheng Zhou, Ming Hu, Xingrun Quan, Yawen Peng, Xiaofei Xie, Yanxin Yang, Chengwei Liu, Yueming Wu, Mingsong Chen

CoRR, 2024

KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting.

Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen

CoRR, 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

FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation.

Jiawen Weng, Zeke Xia, Ran Li, Ming Hu, Mingsong Chen

Proceedings of the 36th International Conference on Software Engineering and Knowledge Engineering, 2024

Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination.

Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SoK: An Exhaustive Taxonomy of Display Issues for Mobile Applications.

Liming Nie, Kabir Sulaiman Said, Ming Hu

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

DeFort: Automatic Detection and Analysis of Price Manipulation Attacks in DeFi Applications.

Maoyi Xie, Ming Hu, Ziqiao Kong, Cen Zhang, Yebo Feng, Haijun Wang, Yue Xue, Hao Zhang, Ye Liu, Yang Liu

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

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

Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

Proceedings of the IEEE International Conference on Acoustics, 2024

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

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

Proceedings of the 61st ACM/IEEE Design Automation Conference, 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

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

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