About Me

I am a Research Scientist in group of Assistant Professor Xiaofei Xie (谢肖飞), Singapore Management University, Singapore (2024.6-). Previously, I was a Research Fellow in group of Prof. Yang Liu (刘杨) at Nanyang Technological University, Singapore (2022.09-2024.05). I received my Bachelor’s Degree in June 2017, and my Ph.D. Degree in June 2022 from East China Normal University, China (华东师范大学). My research interest mainly include：

• Cyber Physical Systems (信息物理融合系统)
• Federated Learning (联邦学习)
• Program Analysis and Testing (程序分析和测试)

• Trustworthy AI (可信人工智能)

  I have published 30+ papers at top conferences and journals such as RTSS, DAC, KDD, ICDE, AAAI, ISSTA, FSE, TCAD, TC, ToN.

🔥 News

2024:

• 2024.12 🎉 One paper got accepted by ICASSP 2025 (CCF-B)!
• 2024.12 🎉 One paper got accepted by AAAI 2025 (CCF-A)! Congrats to Zeke!
• 2024.09 🎉 One paper got accepted by NeurIPS 2024 (CCF-A)! Congrats to Yanxin!
• 2024.08 🎉 One paper got accepted by TMC (CCF-A)!
• 2024.07 🎉 One paper got accepted by CODES+ISSS 2024 (Published in TCAD (CCF-A))! Congrats to Zekai!
• 2024.07 🎉 One paper got accepted by EMSOFT 2024 (Published in TCAD (CCF-A))! Congrats to Zeke!
• 2024.06 🎉 Our paper “Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?” won FSE2024 ACM SIGSOFT Distinguished Paper Award! Congrats to Kaixuan!
• 2024.06 🎉 One paper got accepted by TIFS (CCF-A)!
• 2024.05 🎉 One paper got accepted by KDD 2024 (CCF-A)!
• 2024.05 🎉 One paper got accepted by ToN (CCF-A)!
• 2024.04 🎉 One paper got accepted by FSE 2024 (CCF-A)!
• 2024.03 🎉 One paper got accepted by ISSTA 2024 (CCF-A)! Congrats to Maoyi!
• 2024.02 🎉 One paper got accepted by DAC 2024 (CCF-A)! Congrats to Chentao!

💻 Work Experience

• 2024.6 - present Research Scientist in the group of Assistant Professor Xiaofei Xie at Singapore Management University, Singapore.
• 2022.9 - 2024.5 Research Fellow in the group of Professor Yang Liu at Nanyang Technological University, Singapore.

🎓 Educations

• 2017.09 - 2022.06, Ph.D (Software Engineering) supervised by Prof. Mingsong Chen at East China Normal University, Shanghai, China.
• 2013.09 - 2017.06, B.E (Software Engineering) at East China Normal University, Shanghai, China.

📝 Publications

* Corresponding Author

# Equal Contribution

2025

• ICASSP 2025 (CCF-B) Pengyu Zhang, Yingjie Liu, Yingbo Zhou, Ming Hu, Xian Wei, and Mingsong Chen, CE-FFT: Communication-Efficient Federated Fine-Tuning for Large Language Models via Quantization and In-Context Learning. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.

• AAAI 2025 (CCF-A) Zeke Xia#, Ming Hu#, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, and Mingsong Chen, MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2025.

2024

• NeurIPS 2024 (CCF-A) Yanxin Yang, Chentao Jia, Dengke Yan, Ming Hu*, Tianlin Li, Xiaofei Xie, Xian Wei, and Mingsong Chen*, SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification. In Proceedings of Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

• TMC (CCF-A) Anran Li, Guangjing Wang, Ming Hu, Jianfei Sun, Lan Zhang, Anh Tuan Luu, and Han Yu, Joint Client-and-Sample Selection for Federated Learning via Bi-level Optimization. IEEE Transactions on Mobile Computing (TMC), 32(12): 15196-15209, 2024.

• SEKE 2024 (CCF-C) Jiawen Weng, Zeke Xia, Ran Li, Ming Hu, and Mingsong Chen, FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation. In Proceedings of International Conference on Software Engineering and Knowledge Engineering (SEKE), 2024.

• TCAD (CCF-A) Zekai Chen, Chentao Jia, Ming Hu*, Xiaofei Xie, Anran Li, and Mingsong Chen, FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 43(11): 4069-4080, 2024. CODE

• TCAD (CCF-A) Zeke Xia, Ming Hu, Dengke Yan, Xiaofei Xie, Tianlin Li, Anran Li, Junlong Zhou, and Mingsong Chen, CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 43(11): 4057-4068, 2024.

• TIFS (CCF-A) Yihao Huang, Qing Guo, Felix Juefei Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, and Yang Liu, Texture Re-scalable Universal Adversarial Perturbation. IEEE Transactions on Information Forensics & Security (TIFS), 19: 8291-8305, 2024.

• KDD 2024 (CCF-A) Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, and Mingsong Chen, Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. In Proceedings of SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 1096-1107, 2024. CODE

• ToN (CCF-A) Ziming Zhao, Zhaoxuan Li, Xiaofei Xie, Jiongchi Yu, Fan Zhang, Rui Zhang, Binbin Chen, Xiangyang Luo, Ming Hu, and Wenrui Ma, FOSS: Towards Fine-Grained Unknown Class Detection against the Open-Set Attack Spectrum with Variable Legitimate Traffic. IEEE/ACM Transactions on Networking (ToN), 32(5): 3945-3960, 2024.

• FSE 2024 (CCF-A) Kaixuan Li, Yue Xue, Sen Chen, Han Liu, Kairan Sun, Ming Hu, Haijun Wang, Yang Liu, and Yixiang Chen, Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?. In Proceedings of ACM SIGSOFT Symposium on the Foundation of Software Engineering (FSE), 1447-1470, 2024. ACM SIGSOFT Distinguished Paper Award

• ISSTA 2024 (CCF-A) Maoyi Xie, Ming Hu*, Ziqiao Kong, Cen Zhang, Yebo Feng, Haijun Wang, Yue Xue, Hao Zhang, Ye Liu, and Yang Liu, DeFort: Automatic Detection and Analysis of Price Manipulation Attacks in DeFi Applications. In Proceedings of International Symposium on Software Testing and Analysis (ISSTA), 402-414, 2024.

• DAC 2024 (CCF-A) Chentao Jia, Ming Hu*, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, and Mingsong Chen*, AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. In Proceedings of Design Automation Conference (DAC), 1-6, 2024. CODE

• ICDE 2024 (CCF-A) Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, and Mingsong Chen, FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. In Proceedings of IEEE International Conference on Data Engineering (ICDE), 2137-2150, 2024. CODE

• IUI 2024 (CCF-B) Liming Nie, and Kabir Sulaiman Said*, Ming Hu*, SoK: An Exhaustive Taxonomy of Display Issues for Mobile Applications. In Proceedings of ACM International Conference on Intelligent User Interfaces (IUI), 537-548, 2024.

• ICASSP 2024 (CCF-B) Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, and Geguang Pu, Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5985-5989, 2024.

• AAAI 2024 (CCF-A) Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang Yutong Wu,Ming Hu, Tianlin Li, Geguang Pu, and Yang Liu, Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 38(19): 21169-21178, 2024.

• AAAI 2024 (CCF-A) Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, and Yang Liu, FedMut: Generalized Federated Learning via Stochastic Mutation. In Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 38(11): 12528-12537, 2024. (Oral) CODE

2023

• RTSS 2023 (CCF-A) Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, and Mingsong Chen, GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning using Version Control. In Proceedings of IEEE Real-Time Systems Symposium (RTSS), 145-157, 2023. CODE

• MM 2023 (CCF-A) Zhihao Yue, Jun Xia, Zhiwei Ling, Ming Hu, Ting Wang, Xian Wei, Mingsong Chen, Model-Contrastive Learning for Backdoor Elimination, In Proceedings of ACM Multimedia, 8869-8880, 2023.

• TCAD (CCF-A) Ming Hu, Jun Xia, Min Zhang, Xiaohong Chen, Frédéric Mallet, and Mingsong Chen, Automated Synthesis of Safe Timing Behaviors for Requirements Models using CCSL. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 42(12): 5127-5140, 2023.

• TCAD (CCF-A) Ming Hu, E Cao, Hongbing Huang, Min Zhang, Xiaohong Chen, and Mingsong Chen, AIoTML: A Unified Modeling Language for AIoT-Based Cyber-Physical Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 42(11): 3545-3558, 2023.

• TC (CCF-A) Ming Hu, Min Zhang, Frédéric Mallet, Xin Fu, and Mingsong Chen, Accelerating Reinforcement Learning-Based CCSL Specification Synthesis Using Curiosity-Driven Exploration. IEEE Transactions on Computers (TC), 72(5): 1431-1446, 2023.

2022

• DAC 2022 (CCF-A) Jun Xia, Ming Hu, Xin Chen, and Mingsong Chen. Accelerated synthesis of neural network-based barrier certificates using collaborative learning. In Proceedings of Design Automation Conference (DAC), 1201–1206, 2022.

2021

• RTSS 2021 (CCF-A) Ming Hu, Jiepin Ding, Min Zhang, Frédéric Mallet, and Mingsong Chen, Enumeration and Deduction Driven Co-Synthesis of CCSL Specifications Using Reinforcement Learning. In Proceedings of IEEE Real-Time Systems Symposium (RTSS), 227-239, 2021.

• TCAD (CCF-A) Xinqian Zhang, Ming Hu, Jun Xia, Tongquan Wei, Mingsong Chen, and Shiyan Hu, Efficient Federated Learning for Cloud-Based AIoT Applications. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 40(11): 2211-2223, 2021.

• JCSC 2021 (SCI) Tian Liu, Yunfei Song, Ming Hu, Jun Xia, Jianning Zhang, and Mingsong Chen, An Ensemble Learning-Based Cooperative Defensive Architecture Against Adversarial Attacks. Journal of Circuits, Systems and Computers, 30(2): 2150025:1-2150025:16, 2021.

• JOS 2021 (Chinese-list CCF-A) Mingli Shao, E Cao, Ming Hu, Yue Zhang, Wenjie Chen, and Mingsong Chen. Traffic Light Optimization Control Method for Priority Vehicle Awareness. Journal of Software, 32(8): 2425-2438, 2021. (in Chinese)

2020

• TCAD (CCF-A) Ming Hu, Wenxue Duan, Min Zhang, Tongquan Wei, and Mingsong Chen, Quantitative Timing Analysis for Cyber-Physical Systems Using Uncertainty-Aware Scenario-Based Specifications. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 39(11): 4006-4017, 2020.

• TR (CCF-C) Haifeng Gu, Jianning Zhang, Tian Liu, Ming Hu, Junlong Zhou, Tongquan Wei, and Mingsong Chen, DIAVA: A Traffic-Based Framework for Detection of SQL Injection Attacks and Vulnerability Analysis of Leaked Data. IEEE Transactions on Reliability, 69(1): 188-202, 2020.

• JCRD (Chinese-list CCF-A) Wenxue Duan, Ming Hu, Qiong Zhou, Tingming Wu, Junlong Zhou, Xiao Liu, Tongquan Wei, and Mingsong Chen. Reliability in Cloud Computing System: A Review. Journal of Computer Research and Development 57(1):102-123, 2020. (in Chinese)

2019

• DAC 2019 (CCF-A) Ming Hu, Tongquan Wei, Min Zhang, Frédéric Mallet, and Mingsong Chen, Sample-Guided Automated Synthesis for CCSL Specifications. In Proceedings of Design Automation Conference (DAC). 98: 1–6, 2019.

🏅 Honors and Awards

• 2024 Outstanding Doctoral Dissertation Award, CCF Embedded Systems Technical Committee
• 2024 ACM SIGSOFT Distinguished Paper Award, FSE2024
• 2022 Outstanding Graduates, Shanghai
• 2021 National Scholarship
• 2021 Excellent Student of ECNU
• 2018 Excellent Student Cadres of ECNU

🏛️ Reserch Projects

• 2023-2024, (Co-PI) Efficient and Trustworthy Federated Learning System Design, MoE International Joint Lab of Trustworthy Software Open Research Project, 13K RMB
• 2020-2022, (PI) Design Automation for Cyber-Physical Systems, ECNU Academic Innovation Promotion Program for Excellent Doctoral Students, 50K RMB