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ORCIDMing Hu 0003
Person information
- unicode name: 胡铭
- affiliation: Nanyang Technological University (NTU), School of Computer Science and Engineering, Singapore
- affiliation (PhD 2022): East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China
Other persons with the same name
- Ming Hu — disambiguation page
- Ming Hu 0001
![[0000-0003-0987-2916]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0987-2916")
— Cleveland Clinic, Department of Quantitative Health Sciences, Lerner Research Institute, OH, USA (and 3 more) - Ming Hu 0002 — University of Toronto, Rotman School of Management, Ontario, Canada (and 1 more)
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2020 – today
- 2024
[j13]Kaixuan Li, Yue Xue, Sen Chen, Han Liu, Kairan Sun, Ming Hu, Haijun Wang, Yang Liu, Yixiang Chen:
Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We? Proc. ACM Softw. Eng. 1(FSE): 1447-1470 (2024)- [j12]Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen:
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4057-4068 (2024) - [j11]Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen:
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4069-4080 (2024) - [j10]Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu:
Texture Re-Scalable Universal Adversarial Perturbation. IEEE Trans. Inf. Forensics Secur. 19: 8291-8305 (2024) - [j9]Anran Li, Guangjing Wang, Ming Hu, Jianfei Sun, Lan Zhang, Luu Anh Tuan, Han Yu:
Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization. IEEE Trans. Mob. Comput. 23(12): 15196-15209 (2024) - [j8]Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, Wenrui Ma:
FOSS: Towards Fine-Grained Unknown Class Detection Against the Open-Set Attack Spectrum With Variable Legitimate Traffic. IEEE/ACM Trans. Netw. 32(5): 3945-3960 (2024) - [c15]Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu:
FedMut: Generalized Federated Learning via Stochastic Mutation. AAAI 2024: 12528-12537 - [c14]Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu:
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. AAAI 2024: 21169-21178 - [c13]Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen:
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. DAC 2024: 84:1-84:6 - [c12]Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu:
Architecture-Agnostic Iterative Black-Box Certified Defense Against Adversarial Patches. ICASSP 2024: 5985-5989 - [c11]Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen:
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. ICDE 2024: 2137-2150 - [c10]Maoyi Xie, Ming Hu, Ziqiao Kong, Cen Zhang, Yebo Feng, Haijun Wang, Yue Xue, Hao Zhang, Ye Liu, Yang Liu:
DeFort: Automatic Detection and Analysis of Price Manipulation Attacks in DeFi Applications. ISSTA 2024: 402-414 - [c9]Liming Nie, Kabir Sulaiman Said, Ming Hu:
SoK: An Exhaustive Taxonomy of Display Issues for Mobile Applications. IUI 2024: 537-548 - [c8]Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen:
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. KDD 2024: 1096-1107 - [c7]Jiawen Weng, Zeke Xia, Ran Li, Ming Hu, Mingsong Chen:
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation. SEKE 2024: 375-380 - [i25]Pengyu Zhang, Yingbo Zhou, Ming Hu, Junxian Feng, Jiawen Weng, Mingsong Chen:
Personalized Federated Instruction Tuning via Neural Architecture Search. CoRR abs/2402.16919 (2024) - [i24]Peiheng Zhou, Ming Hu, Xiaofei Xie, Yihao Huang, Kangjie Chen, Mingsong Chen:
MIP: CLIP-based Image Reconstruction from PEFT Gradients. CoRR abs/2403.07901 (2024) - [i23]Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen:
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. CoRR abs/2404.12846 (2024) - [i22]Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen:
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. CoRR abs/2404.12850 (2024) - [i21]Kaixuan Li, Yue Xue, Sen Chen, Han Liu, Kairan Sun, Ming Hu, Haijun Wang, Yang Liu, Yixiang Chen:
Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We? CoRR abs/2404.18186 (2024) - [i20]Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu:
Texture Re-scalable Universal Adversarial Perturbation. CoRR abs/2406.06089 (2024) - [i19]Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen:
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. CoRR abs/2407.12729 (2024) - [i18]Jiawen Weng, Zeke Xia, Ran Li, Ming Hu, Mingsong Chen:
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation. CoRR abs/2411.15847 (2024) - [i17]Peiheng Zhou, Ming Hu, Xingrun Quan, Yawen Peng, Xiaofei Xie, Yanxin Yang, Chengwei Liu, Yueming Wu, Mingsong Chen:
An Empirical Study of Vulnerability Detection using Federated Learning. CoRR abs/2411.16099 (2024) - [i16]Fei Gao, Ming Hu, Zhiyu Xie, Peichang Shi, Xiaofei Xie, Guodong Yi, Huaimin Wang:
NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing. CoRR abs/2412.04868 (2024) - 2023
- [j7]Ming Hu, Min Zhang, Frédéric Mallet, Xin Fu, Mingsong Chen:
Accelerating Reinforcement Learning-Based CCSL Specification Synthesis Using Curiosity-Driven Exploration. IEEE Trans. Computers 72(5): 1431-1446 (2023) - [j6]Ming Hu, E. Cao, Hongbing Huang, Min Zhang, Xiaohong Chen, Mingsong Chen:
AIoTML: A Unified Modeling Language for AIoT-Based Cyber-Physical Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3545-3558 (2023) - [j5]Ming Hu, Jun Xia, Min Zhang, Xiaohong Chen, Frédéric Mallet, Mingsong Chen:
Automated Synthesis of Safe Timing Behaviors for Requirements Models Using CCSL. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 5127-5140 (2023) - [c6]Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen:
Model-Contrastive Learning for Backdoor Elimination. ACM Multimedia 2023: 8869-8880 - [c5]Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen:
GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control. RTSS 2023: 145-157 - [i15]Pengyu Zhang, Yingbo Zhou, Ming Hu, Xin Fu, Xian Wei, Mingsong Chen:
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning. CoRR abs/2301.12193 (2023) - [i14]Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu:
Towards Interpretable Federated Learning. CoRR abs/2302.13473 (2023) - [i13]Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen:
FedMR: Federated Learning via Model Recombination. CoRR abs/2305.10730 (2023) - [i12]Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu:
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches. CoRR abs/2305.10929 (2023) - [i11]Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen:
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation. CoRR abs/2308.11333 (2023) - [i10]Dengke Yan, Ming Hu, Zeke Xia, Yanxin Yang, Jun Xia, Xiaofei Xie, Mingsong Chen:
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning. CoRR abs/2311.13163 (2023) - [i9]Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen:
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. CoRR abs/2311.13166 (2023) - [i8]Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen:
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems. CoRR abs/2311.14037 (2023) - 2022
- [c4]Jun Xia, Ming Hu, Xin Chen, Mingsong Chen:
Accelerated synthesis of neural network-based barrier certificates using collaborative learning. DAC 2022: 1201-1206 - [c3]Yanhong Fei, Ming Hu, Xian Wei, Mingsong Chen:
Orthogonal Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. SSCI 2022: 71-76 - [i7]Ming Hu, Tian Liu, Zhiwei Ling, Zhihao Yue, Mingsong Chen:
FedCAT: Towards Accurate Federated Learning via Device Concatenation. CoRR abs/2202.12751 (2022) - [i6]Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen:
Model-Contrastive Learning for Backdoor Defense. CoRR abs/2205.04411 (2022) - [i5]Zhiwei Ling, Zhihao Yue, Jun Xia, Ming Hu, Ting Wang, Mingsong Chen:
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment. CoRR abs/2205.12038 (2022) - [i4]Ming Hu, Zhihao Yue, Zhiwei Ling, Xian Wei, Mingsong Chen:
FedMR: Fedreated Learning via Model Recombination. CoRR abs/2208.07677 (2022) - [i3]Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Yang Liu, Mingsong Chen:
FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation. CoRR abs/2210.08285 (2022) - [i2]Ming Hu, Zeke Xia, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen:
GitFL: Adaptive Asynchronous Federated Learning using Version Control. CoRR abs/2211.12049 (2022) - [i1]Jun Xia, Yi Zhang, Zhihao Yue, Ming Hu, Xian Wei, Mingsong Chen:
HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation. CoRR abs/2212.02006 (2022) - 2021
- [j4]Tian Liu, Yunfei Song, Ming Hu, Jun Xia, Jianning Zhang, Mingsong Chen:
An Ensemble Learning-Based Cooperative Defensive Architecture Against Adversarial Attacks. J. Circuits Syst. Comput. 30(2): 2150025:1-2150025:16 (2021) - [j3]Xinqian Zhang, Ming Hu, Jun Xia, Tongquan Wei, Mingsong Chen, Shiyan Hu:
Efficient Federated Learning for Cloud-Based AIoT Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(11): 2211-2223 (2021) - [c2]Ming Hu, Jiepin Ding, Min Zhang, Frédéric Mallet, Mingsong Chen:
Enumeration and Deduction Driven Co-Synthesis of CCSL Specifications using Reinforcement Learning. RTSS 2021: 227-239 - 2020
- [j2]Ming Hu, Wenxue Duan, Min Zhang, Tongquan Wei, Mingsong Chen:
Quantitative Timing Analysis for Cyber-Physical Systems Using Uncertainty-Aware Scenario-Based Specifications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4006-4017 (2020) - [j1]Haifeng Gu, Jianning Zhang, Tian Liu, Ming Hu, Junlong Zhou, Tongquan Wei, Mingsong Chen:
DIAVA: A Traffic-Based Framework for Detection of SQL Injection Attacks and Vulnerability Analysis of Leaked Data. IEEE Trans. Reliab. 69(1): 188-202 (2020)
2010 – 2019
- 2019
- [c1]Ming Hu, Tongquan Wei, Min Zhang, Frédéric Mallet, Mingsong Chen:
Sample-Guided Automated Synthesis for CCSL Specifications. DAC 2019: 98
Coauthor Index
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