Ming Hu - RankMe

76 papers A* 14A 4C 1Misc 2Journal 52Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	JailGuard: A Universal Detection Framework for Prompt-based Attacks on LLM Systems. ACM Trans. Softw. Eng. Methodol. Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Ming Hu, Jie Zhang, Yang Liu, Shiqing Ma, Chao Shen
2026	J	`jnl`	S${}^{2}$2FL: Toward Efficient and Accurate Heterogeneous Split Federated Learning. IEEE Trans. Computers Dengke Yan, Ming Hu, Xiaofei Xie, Yanxin Yang, Mingsong Chen
2026	—	`conf`	Two Heads Are Better Than One: Generalized Cross-Domain Federated Learning via Dual-Prototype. KDD (1) Mingsheng Cao, Tianci Chen, Ming Hu, Zhuang Qi, Yangguang Cui, Junlong Zhou, Xiaofei Xie
2025	J	`jnl`	ADReFT: Adaptive Decision Repair for Safe Autonomous Driving via Reinforcement Fine-Tuning. CoRR Mingfei Cheng, Xiaofei Xie, Renzhi Wang, Yuan Zhou, Ming Hu
2025	Misc	`conf`	CE-FFT: Communication-Efficient Federated Fine-Tuning for Large Language Models via Quantization and In-Context Learning. ICASSP Pengyu Zhang, Yingjie Liu, Yingbo Zhou, Ming Hu, Xian Wei, Mingsong Chen
2025	J	`jnl`	CyclicFL: Efficient Federated Learning with Cyclic Model Pre-training. J. Circuits Syst. Comput. Pengyu Zhang, Yingbo Zhou, Ming Hu, Xian Wei, Mingsong Chen
2025	J	`jnl`	DySTop. CoRR Yizhou Shi, Qianpiao Ma, Yang Xu, Junlong Zhou, Ming Hu, Yunming Liao, Hongli Xu
2025	J	`jnl`	FedGraft: Memory-Aware Heterogeneous Federated Learning via Model Grafting. IEEE Trans. Mob. Comput. Ruixuan Liu, Ming Hu, Zeke Xia, Xiaofei Xie, Jun Xia, Pengyu Zhang, Yihao Huang, Mingsong Chen
2025	A*	`conf`	FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning. CCS Yanxin Yang, Ming Hu, Xiaofei Xie, Yue Cao, Pengyu Zhang, Yihao Huang, Mingsong Chen
2025	—	`conf`	Gradients as An Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing. KDD (2) Zhufeng Lu, Chentao Jia, Ming Hu, Xiaofei Xie, Mingsong Chen
2025	J	`jnl`	Gradients as an Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing. CoRR Zhufeng Lu, Chentao Jia, Ming Hu, Xiaofei Xie, Mingsong Chen
2025	J	`jnl`	Intention is All You Need: Refining Your Code from Your Intention. CoRR Qi Guo, Xiaofei Xie, Shangqing Liu, Ming Hu, Xiaohong Li, Lei Bu
2025	A*	`conf`	Intention is All you Need: Refining your Code from your Intention. ICSE Qi Guo, Xiaofei Xie, Shangqing Liu, Ming Hu, Xiaohong Li, Lei Bu
2025	A*	`conf`	MMDFL: Multi-Model-based Decentralized Federated Learning for Resource-Constrained AIoT Systems. DAC Dengke Yan, Yanxin Yang, Ming Hu, Xin Fu, Mingsong Chen
2025	A*	`conf`	MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. AAAI Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen
2025	A*	`conf`	Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent Vision. ASE Xu Lu, Weisong Sun, Yiran Zhang, Ming Hu, Cong Tian, Zhi Jin, Yang Liu
2025	J	`jnl`	Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent Vision. CoRR Xu Lu, Weisong Sun, Yiran Zhang, Ming Hu, Cong Tian, Zhi Jin, Yang Liu
2025	J	`jnl`	Shedding Light on VLN Robustness: A Black-box Framework for Indoor Lighting-based Adversarial Attack. CoRR Chenyang Li, Wenbing Tang, Yihao Huang, Sinong Simon Zhan, Ming Hu, Xiaojun Jia, Yang Liu
2025	J	`jnl`	Smart Contract Fuzzing Towards Profitable Vulnerabilities. CoRR Ziqiao Kong, Cen Zhang, Maoyi Xie, Ming Hu, Yue Xue, Ye Liu, Haijun Wang, Yang Liu
2025	J	`jnl`	Smart Contract Fuzzing Towards Profitable Vulnerabilities. Proc. ACM Softw. Eng. Ziqiao Kong, Cen Zhang, Maoyi Xie, Ming Hu, Yue Xue, Ye Liu, Haijun Wang, Yang Liu
2025	J	`jnl`	VulStamp: Vulnerability Assessment using Large Language Model. CoRR Hao Shen, Ming Hu, Xiaofei Xie, Jiaye Li, Mingsong Chen
2024	A*	`conf`	AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. DAC Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen
2024	J	`jnl`	An Empirical Study of Vulnerability Detection using Federated Learning. CoRR Peiheng Zhou, Ming Hu, Xingrun Quan, Yawen Peng, Xiaofei Xie, Yanxin Yang, Chengwei Liu, Yueming Wu, Mingsong Chen
2024	Misc	`conf`	Architecture-Agnostic Iterative Black-Box Certified Defense Against Adversarial Patches. ICASSP Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu
2024	J	`jnl`	CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. CoRR Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen
2024	J	`jnl`	CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, Mingsong Chen
2024	A	`conf`	DeFort: Automatic Detection and Analysis of Price Manipulation Attacks in DeFi Applications. ISSTA Maoyi Xie, Ming Hu, Ziqiao Kong, Cen Zhang, Yebo Feng, Haijun Wang, Yue Xue, Hao Zhang, Ye Liu, Yang Liu
2024	J	`jnl`	FOSS: Towards Fine-Grained Unknown Class Detection Against the Open-Set Attack Spectrum With Variable Legitimate Traffic. IEEE/ACM Trans. Netw. Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, Wenrui Ma
2024	A*	`conf`	FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. ICDE Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen
2024	A*	`conf`	FedMut: Generalized Federated Learning via Stochastic Mutation. AAAI Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu
2024	C	`conf`	FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation. SEKE Jiawen Weng, Zeke Xia, Ran Li, Ming Hu, Mingsong Chen
2024	J	`jnl`	FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation. CoRR Jiawen Weng, Zeke Xia, Ran Li, Ming Hu, Mingsong Chen
2024	J	`jnl`	Federated Graph Learning with Adaptive Importance-based Sampling. CoRR Anran Li, Yuanyuan Chen, Chao Ren, Wenhan Wang, Ming Hu, Tianlin Li, Han Yu, Qingyu Chen
2024	J	`jnl`	FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. CoRR Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen
2024	J	`jnl`	FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen
2024	A*	`conf`	Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. KDD Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen
2024	J	`jnl`	Joint Client-and-Sample Selection for Federated Learning via Bi-Level Optimization. IEEE Trans. Mob. Comput. Anran Li, Guangjing Wang, Ming Hu, Jianfei Sun, Lan Zhang, Luu Anh Tuan, Han Yu
2024	J	`jnl`	KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting. CoRR Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen
2024	J	`jnl`	MIP: CLIP-based Image Reconstruction from PEFT Gradients. CoRR Peiheng Zhou, Ming Hu, Xiaofei Xie, Yihao Huang, Kangjie Chen, Mingsong Chen
2024	J	`jnl`	NebulaFL: Effective Asynchronous Federated Learning for JointCloud Computing. CoRR Fei Gao, Ming Hu, Zhiyu Xie, Peichang Shi, Xiaofei Xie, Guodong Yi, Huaimin Wang
2024	A*	`conf`	Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. AAAI Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu
2024	J	`jnl`	Personalized Federated Instruction Tuning via Neural Architecture Search. CoRR Pengyu Zhang, Yingbo Zhou, Ming Hu, Junxian Feng, Jiawen Weng, Mingsong Chen
2024	A*	`conf`	SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification. NeurIPS Yanxin Yang, Chentao Jia, Dengke Yan, Ming Hu, Tianlin Li, Xiaofei Xie, Xian Wei, Mingsong Chen
2024	A	`conf`	SoK: An Exhaustive Taxonomy of Display Issues for Mobile Applications. IUI Liming Nie, Kabir Sulaiman Said, Ming Hu
2024	J	`jnl`	Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We? CoRR Kaixuan Li, Yue Xue, Sen Chen, Han Liu, Kairan Sun, Ming Hu, Haijun Wang, Yang Liu, Yixiang Chen
2024	J	`jnl`	Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We? Proc. ACM Softw. Eng. Kaixuan Li, Yue Xue, Sen Chen, Han Liu, Kairan Sun, Ming Hu, Haijun Wang, Yang Liu, Yixiang Chen
2024	J	`jnl`	Texture Re-Scalable Universal Adversarial Perturbation. IEEE Trans. Inf. Forensics Secur. Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu
2024	J	`jnl`	Texture Re-scalable Universal Adversarial Perturbation. CoRR Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu
2023	J	`jnl`	AIoTML: A Unified Modeling Language for AIoT-Based Cyber-Physical Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ming Hu, E. Cao, Hongbing Huang, Min Zhang, Xiaohong Chen, Mingsong Chen
2023	J	`jnl`	Accelerating Reinforcement Learning-Based CCSL Specification Synthesis Using Curiosity-Driven Exploration. IEEE Trans. Computers Ming Hu, Min Zhang, Frédéric Mallet, Xin Fu, Mingsong Chen
2023	J	`jnl`	AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems. CoRR Ruixuan Liu, Ming Hu, Zeke Xia, Jun Xia, Pengyu Zhang, Yihao Huang, Yang Liu, Mingsong Chen
2023	J	`jnl`	AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. CoRR Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen
2023	J	`jnl`	Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches. CoRR Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu
2023	J	`jnl`	Automated Synthesis of Safe Timing Behaviors for Requirements Models Using CCSL. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ming Hu, Jun Xia, Min Zhang, Xiaohong Chen, Frédéric Mallet, Mingsong Chen
2023	J	`jnl`	CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning. CoRR Pengyu Zhang, Yingbo Zhou, Ming Hu, Xin Fu, Xian Wei, Mingsong Chen
2023	J	`jnl`	FedMR: Federated Learning via Model Recombination. CoRR Ming Hu, Zhihao Yue, Zhiwei Ling, Yihao Huang, Cheng Chen, Xian Wei, Yang Liu, Mingsong Chen
2023	A	`conf`	GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control. RTSS Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen
2023	J	`jnl`	Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning. CoRR Dengke Yan, Ming Hu, Zeke Xia, Yanxin Yang, Jun Xia, Xiaofei Xie, Mingsong Chen
2023	A*	`conf`	Model-Contrastive Learning for Backdoor Elimination. ACM Multimedia Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen
2023	J	`jnl`	Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation. CoRR Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen
2023	J	`jnl`	Towards Interpretable Federated Learning. CoRR Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu
2022	A*	`conf`	Accelerated synthesis of neural network-based barrier certificates using collaborative learning. DAC Jun Xia, Ming Hu, Xin Chen, Mingsong Chen
2022	J	`jnl`	FedCAT: Towards Accurate Federated Learning via Device Concatenation. CoRR Ming Hu, Tian Liu, Zhiwei Ling, Zhihao Yue, Mingsong Chen
2022	J	`jnl`	FedCross: Towards Accurate Federated Learning via Multi-Model Cross Aggregation. CoRR Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Yang Liu, Mingsong Chen
2022	J	`jnl`	FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment. CoRR Zhiwei Ling, Zhihao Yue, Jun Xia, Ming Hu, Ting Wang, Mingsong Chen
2022	J	`jnl`	FedMR: Fedreated Learning via Model Recombination. CoRR Ming Hu, Zhihao Yue, Zhiwei Ling, Xian Wei, Mingsong Chen
2022	J	`jnl`	GitFL: Adaptive Asynchronous Federated Learning using Version Control. CoRR Ming Hu, Zeke Xia, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen
2022	J	`jnl`	HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-Distillation. CoRR Jun Xia, Yi Zhang, Zhihao Yue, Ming Hu, Xian Wei, Mingsong Chen
2022	J	`jnl`	Model-Contrastive Learning for Backdoor Defense. CoRR Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen
2022	—	`conf`	Orthogonal Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. SSCI Yanhong Fei, Ming Hu, Xian Wei, Mingsong Chen
2021	J	`jnl`	An Ensemble Learning-Based Cooperative Defensive Architecture Against Adversarial Attacks. J. Circuits Syst. Comput. Tian Liu, Yunfei Song, Ming Hu, Jun Xia, Jianning Zhang, Mingsong Chen
2021	J	`jnl`	Efficient Federated Learning for Cloud-Based AIoT Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xinqian Zhang, Ming Hu, Jun Xia, Tongquan Wei, Mingsong Chen, Shiyan Hu
2021	A	`conf`	Enumeration and Deduction Driven Co-Synthesis of CCSL Specifications using Reinforcement Learning. RTSS Ming Hu, Jiepin Ding, Min Zhang, Frédéric Mallet, Mingsong Chen
2020	J	`jnl`	DIAVA: A Traffic-Based Framework for Detection of SQL Injection Attacks and Vulnerability Analysis of Leaked Data. IEEE Trans. Reliab. Haifeng Gu, Jianning Zhang, Tian Liu, Ming Hu, Junlong Zhou, Tongquan Wei, Mingsong Chen
2020	J	`jnl`	Quantitative Timing Analysis for Cyber-Physical Systems Using Uncertainty-Aware Scenario-Based Specifications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ming Hu, Wenxue Duan, Min Zhang, Tongquan Wei, Mingsong Chen
2019	A*	`conf`	Sample-Guided Automated Synthesis for CCSL Specifications. DAC Ming Hu, Tongquan Wei, Min Zhang, Frédéric Mallet, Mingsong Chen