Xiaofei Xie (谢肖飞)

Xiaofei Xie (谢肖飞)

Assistant Professor, School of Computing and Information Systems (SCIS), Singapore Management University (SMU)

Publications

You can also find my articles on Google Scholar.

2026

  1. (NDSS 2026) Jiongchi Yu, Xiaofei Xie, Qiang Hu, Yuhan Ma, Ziming Zhao. “Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation”. In Proceedings 2026 Network and Distributed System Security Symposium.
  2. (TSE 2026) Longtian Wang, Xiaofei Xie, Tianlin Li, Yuhan Zhi, Chao Shen. “Robustness Testing of Refusal Mechanisms in Text-to-Image Models with Fine-Grained Word Impact Analysis”. In IEEE Transactions on Software Engineering.
  3. (TSE 2026) Shiwen Song, Xiaofei Xie, Ruitao Feng, Qi Guo, Sen Chen. “FCGHUNTER: Towards Evaluating Robustness of Graph-Based Android Malware Detection”. In IEEE Transactions on Software Engineering.
  4. (FSE 2026) Jixiang Zhou, Mingfei Cheng, Shuncheng Tang, An Guo, Xiaofei Xie, Yinxing Xue, Lijun Zhang. “OdoTest: An Automated Testing Approach for Odometry Systems”. In Proceedings of the ACM International Conference on the Foundations of Software Engineering.
  5. (ICSE 2026) Shihao Weng, Yang Feng, Jincheng Li, Yining Yin, Xiaofei Xie, Jia Liu. “AtPatch: Debugging Transformers via Hot-Fixing Over-Attention”. In Proceedings of the 48th IEEE/ACM International Conference on Software Engineering.
  6. (ICSE 2026) Yuelin Wang, Yuqiao Ning, Yanbang Sun, Xiaofei Xie, Zhihua Xie, Yang Chen, Zhen Guo, Shihao Xue, Junjie Wang, Sen Chen. “Towards Understanding and Characterizing Vulnerabilities in Intelligent Connected Vehicles through Real-World Exploits”. In Proceedings of the 48th IEEE/ACM International Conference on Software Engineering. ACM SIGSOFT Distinguished Paper Award
  7. (ICSE 2026) Wenjie Zhang, Yun Lin, Kwok Chun Fung Amos, Xiwen Teoh, Xiaofei Xie, Frank Liauw, Hongyu Zhang, Jin Song Dong. “MINES: Explainable Anomaly Detection through Web API Invariant Inference”. In Proceedings of the 48th IEEE/ACM International Conference on Software Engineering.
  8. (SIGIR 2026) Guoqing Wang, Zhao Zhang, Zeyu Sun, Xiaofei Xie, Yizhou Chen, Yanchao Tan, Dan Hao. “PurifAI: Detecting and Fixing Search-Induced Distortions in Web-Augmented LLMs”. In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval.
  9. (AAAI 2026) Weipeng Jiang, Juan Zhai, Shiqing Ma, Ziyan Lei, Xiaofei Xie, Yige Wang, Chao Shen. “From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning” In Proceedings of the 40th AAAI Conference on Artificial Intelligence
  10. (AAAI 2026) Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Yuanzhe Hu, Qing Wang, Fanjiang Xu. “Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation” In Proceedings of the 40th AAAI Conference on Artificial Intelligence
  11. (TOSEM 2026) Hao Shen, Ming Hu, Xiaofei Xie, Jiaye Li, and Mingsong Chen, “Separate Bombs from Firecrackers: Intention-guided Vulnerability Assessment via LLM”. ACM Transactions on Software Engineering and Methodology.
  12. (TOSEM 2026) Wu, Xiongfei; Cheng, Mingfei; Ren, Xiaoning; Hu, Qiang; Chen, Jianlang; Huang, Yuheng; Cordy, Maxime; Zhang, Yao, Xiaofei Xie, Ma, Lei; Le Traon, Yves. “Foundation Models for Autonomous Driving Systems: An Initial Roadmap”. ACM Transactions on Software Engineering and Methodology.
  13. (TOSEM 2026) Yakun Zhang, Chen Liu, Xiaofei Xie, Yun Lin, Jin Song Dong, Dan Hao, Lu Zhang. “GUI Test Migration via Abstraction and Concretization”. In ACM Transactions on Software Engineering and Methodology.
  14. (ICPC 2026) Jie Gao, Yue Xue, Xiaofei Xie, SoeMin Thant, Erika Lee, Bowen Xu. “Understanding Codebase like a Professional! Human-AI Collaboration for Code Comprehension”. In Proceedings of the 34st IEEE/ACM International Conference on Program Comprehension. ACM SIGSOFT Distinguished Paper Award
  15. (ASE 2026) Yuekun Wang, Lili Quan, Xiaofei Xie. “Refine2Diff: Detecting Protocol Specification–Implementation Inconsistencies via Specification-Driven Code Refinement”. In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering.
  16. (ASE 2026) Yiheng Xiong, Shiwen Song, Bo Ma, Ting Su, Xiaofei Xie. “PropGen: Automated Property Generation for Property-Based Testing of Mobile Apps”. In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering.
  17. (ASE 2026) Yuelin Wang, Jiongchi Yu, Xiaofei Xie, Yaohui Sun, Tianyu Shi, Yanbang Sun, Qiang Hu, Junjie Wang. “IntOAgent: A Practical Framework for Automated Detection and Triggering of Integer Overflow Vulnerabilities”. In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering.
  18. (ASE 2026) Kai Huang, Ling Zhu, Jian Zhang, Xiaofei Xie, Chunyang Chen. “A11YRepair: Bridging Web Accessibility Barriers via Knowledge-Enhanced Divide-and-Conquer Repair”. In Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering.
  19. (ISSTA 2026) Mingfei Cheng, Xiaofei Xie, Lili Quan, Yuan Zhou. “Are We Stuck? Modeling and Detecting Deadlocks in Multi-Autonomous Vehicle Systems”. In Proceedings of the 35th ACM SIGSOFT International Symposium on Software Testing and Analysis.
  20. (ISSTA 2026) Shiwen Song, Yiheng Xiong, Wenbo Guo, Manqi Sun, Jiaolong Kong, Xiaofei Xie. “Characterizing and Repairing Obsolete Android GUI Tests under UI Evolution”. In Proceedings of the 35th ACM SIGSOFT International Symposium on Software Testing and Analysis.
  21. (OOPSLA 2026) Xitao Li, Xiaofei Xie, Jiang Wu, Ting Liu, Haijun Wang. “Code–Test Co-Translation: Towards Practical and Effective Program Migration in the Wild”. In Proceedings of the ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications.
  22. (ECCV 2026) Longtian Wang, Chenhao Lin, Zhengyu Zhao, Le Yang, Shiwei Wang, Yuhan Zhi, Xiaofei Xie, Chao Shen. “Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift”. In Proceedings of the 19th European Conference on Computer Vision.
  23. (TOSEM 2026) Jiongchi Yu, Xiaolin Wen, Sizhe Cheng, Xiaofei Xie, Qiang Hu, Yong Wang. “Human in the Loop for Fuzz Testing: Literature Review and the Road Ahead”. ACM Transactions on Software Engineering and Methodology.

2025

  1. (ASE 2025) Yuekun Wang, Lili Quan, Xiaofei Xie, Junjie Wang, Jianjun Chen. “SPEC2CODE: Mapping Protocol Specification to Function-Level Code Implementation”. In Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering.
  2. (ASE 2025) Kai Huang, Jian Zhang, Xiaofei Xie, Chunyang Chen. “Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing”. In Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering. ACM SIGSOFT Distinguished Paper Award
  3. (ASE 2025) Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Kong, Yi Li. “Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs”. In Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering.
  4. (FSE 2025) Jiaolong Kong, Xiaofei Xie, Shangqing Liu. “Demystifying Memorization in LLM-based Program Repair via a General Hypothesis Testing Framework”. In Proceedings of the ACM International Conference on the Foundations of Software Engineering.
  5. (FSE 2025) Jiongchi Yu, Xie Xiaofei, Qiang Hu, Bowen Zhang, Ziming Zhao, Yun Lin, Lei Ma, Ruitao Feng, Frank Liau “CAShift: Benchmarking Log-Based Cloud Attack Detection under Normality Shift”. In Proceedings of the ACM International Conference on the Foundations of Software Engineering.
  6. (FSE 2025) Junming Cao, Xuwen Xiang, Mingfei Cheng, Bihuan Chen, Xinyan Wang, You Lu, Chaofeng Sha, Xiaofei Xie, Xin Peng. “RegTrieve: Reducing System-Level Regression Errors for Machine Learning Systems via Retrieval-Enhanced Ensemble”. In Proceedings of the ACM International Conference on the Foundations of Software Engineering.
  7. (ISSTA 2025) Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou and Lei Ma, “MoDitector: Module-Directed Testing for Autonomous Driving Systems”, In Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis
  8. (ICSE 2025) Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Junjie Wang, Guozhu Meng, Kairui Yang. “Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems”. In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025.
  9. (ICSE 2025) Qi Guo, Xiaofei Xie, Shangqing Liu, Ming Hu, Xiaohong Li, Lei Bu. “Intention is All You Need: Refining Your Code from Your Intention.”. In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025.
  10. (ICSE 2025) Lili Quan, Tianlin Li, Xiaofei Xie, Zhenpeng Chen, Sen Chen, Lingxiao Jiang, Xiaohong Li. “Dissecting Global Search: A Simple Yet Effective Method to Boost Individual Discrimination Testing and Repair”. In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025.
  11. (ICSE 2025) Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu. “SpecGen: Automated Generation of Formal Program Specifications via Large Language Models”. In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025.
  12. (ICSE 2025) Yuxin Zhang, Sen Chen, Xiaofei Xie, Zibo Liu, and Lingling Fan. “Scenario-Driven and Context-Aware Automated Accessibility Testing for Android Apps”. In Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025.
  13. (TOSEM 2025) Jiaolong Kong, Xiaofei Xie, Mingfei Cheng, Shangqing Liu, Xiaoning Du, Qi Guo. “ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs”. In ACM Transactions on Software Engineering and Methodology.
  14. (TOSEM 2025) Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Dandan Wang, Qing Wang, and Fanjiang Xu. “Demo2Test: Transfer Testing of Agent in Competitive Environment with Failure Demonstrations”. ACM Transactions on Software Engineering and Methodology.
  15. (TOSEM 2025) Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Lei Ma, Yves Le Traon, “Assessing the Robustness of Test Selection Methods for Deep Neural Networks” ACM Transactions on Software Engineering and Methodology.
  16. (TOSEM 2025) Chunlian Wu, Sen Chen, Jiaming Li, Renchao Chai, Lingling Fan, Xiaofei Xie, Ruitao Feng. “Beyond Decision: Android Malware Description Generation through Profiling Malicious Behavior Trajectory”. ACM Transactions on Software Engineering and Methodology.
  17. (TSE 2025) Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie, Boyu Wu, Yiguang Yan, Shoubin Li, Fanjiang Xu, Qing Wang. “Diversity-Oriented Testing for Competitive Game Agent via Constraint-Guided Adversarial Agent Training”. IEEE Transactions on Software Engineering, Accepted
  18. (TSE 2025) Jingyun Zhu, Kaixuan Li, Sen Chen, Lingling Fan, Junjie Wang, Xiaofei Xie, “A Comprehensive Study on Static Application Security Testing (SAST) Tools for Android”. IEEE Transactions on Software Engineering.
  19. (TDSC 2025) Xiyue Zhang , Xiaoyong Xue , Xiaoning Du , Xiaofei Xie , Yang Liu , Meng Sun. “Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis”. In IEEE Transactions on Dependable and Secure Computing.
  20. (S&P 2025) Ruofan Zhu, Ganhao Chen, Wenbo Shen, Xiaofei Xie, Rui Chang. “My Model is Malware to You: Transforming AI Models into Malware by Abusing TensorFlow APIs”. In Proceedings of the 46th IEEE Symposium on Security and Privacy.
  21. (CCS 2025) Yanxin Yang, Ming Hu, Xiaofei Xie, Yue Cao, Pengyu Zhang, Yihao Huang, and Mingsong Chen. “FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning”. In Proceedings of ACM Conference on Computer and Communications Security
  22. (WWW 2025) Lili Quan, Xiaofei Xie, Qianyu Guo, Lingxiao Jiang, Sen Chen, Junjie Wang, and Xiaohong Li, “TensorJSFuzz: Effective Testing of Web-Based Deep Learning Frameworks via Input-Constraint Extraction”, In Proceedings of the Web Conference.
  23. (KDD 2025) Ziming Zhao, Zhuoxue Song, Xiaofei Xie, Zhaoxuan Li, Jiongchi Yu, Fan Terry Zhang and Tingting Li. “Towards Context-Aware Traffic Classification via Time-Wavelet Fusion Network”. In Proceedings of SIGKDD Conference on Knowledge Discovery and Data Mining, 2025.
  24. (AAAI 2025) Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Jun Hu, Qing Wang and Fanjiang Xu. “Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning”. In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence.
  25. (TOSEM 2025) Dong Huang, Jie M. Zhang, Qingwen Bu, Xiaofei Xie, Junjie Chen, Heming Cui. “Bias Testing and Mitigation in LLM-based Code Generation”. ACM Transactions on Software Engineering and Methodology.

2024

  1. (ASE 2024) Yin Wu, Xiaofei Xie, Chenyang Peng, Dijun Liu, Hao Wu, Ming Fan, Ting Liu, Haijun Wang. “AdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysis”. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024.
  2. (ASE 2024) Jian Wang, Shangqing Liu, Xiaofei Xie, Yi Li. “An Empirical Study to Evaluate AIGC Detectors on Code Content”. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024.
  3. (ASE 2024) Yifan Liao, Ming Xu, Yun Lin, Xiwen Teoh, Xiaofei Xie, Ruitao Feng Frank Liauw, Hongyu Zhang, Jin Song Dong. “Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality”. In Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024.
  4. (ISSTA 2024）Jiongchi Yu, Xiaofei Xie, Cen Zhang, Sen Chen, Yuekang Li, Wenbo Shen. “Bugs in Pods: Understanding Bugs in Container Runtime Systems”. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024.
  5. (ISSTA 2024）Qi Guo, Shangqing Liu, Xiaofei Xie, Ze Tang, Ruitao Feng, Junjie Wang, Xiaohong Li, Jidong Ge, Lei Bu. “FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion”. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024.
  6. (ISSTA 2024）Xuyan Ma, Yawen Wang, Junjie Wang, Xiaofei Xie, Boyu Wu, Shoubin Li, Fanjiang Xu, Qing Wang. “Enhancing Multi-Agent System Testing with Diversity-Guided Exploration and Adaptive Critical State Exploitation”. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024.
  7. (ISSTA 2024）Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie, Yuekang Li, Limin Sun, Yang Liu. “How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation”. In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024.
  8. (ICSE 2024）Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, Xin Peng. “Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study”. In Proceedings of the 46th International Conference on Software Engineering, 2024.
  9. (ICSE 2024) Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, and Yang Liu. “GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis”. In Proceedings of the 46th International Conference on Software Engineering, 2024.
  10. (NeurIPS 2024) 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, 2024.
  11. (KDD 2024）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”. In Proceedings of SIGKDD Conference on Knowledge Discovery and Data Mining, 2024.
  12. (AIES 2024) Jose Luna, Ivan Tan, Xiaofei Xie, Lingxiao Jiang. “Navigating Governance Paradigms: A Cross-Regional Comparative Study of Generative AI Governance Processes & Principles”. In Proceedings of the 7th AAAI Conference on AI, Ethics, and Society, 2024.
  13. (ISSRE 2024) Jian Wang, Shangqing Liu, Xiaofei Xie, SiowJing Kai, Kui Liu, Yi Li. “RATCHET: Retrieval AugmentedTransformer for Program Repair”. In Proceedings of the 35th International Symposium on Software Reliability Engineering.
  14. (ISSRE 2024) Dong Huang, Tsz On Li, Xiaofei Xie, Heming Cui. “Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability”. In Proceedings of the 35th International Symposium on Software Reliability Engineering.
  15. (TOSEM 2024) Hu, Qiang, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, and Yves Le Traon. “Test Optimization in DNN Testing: A Survey”. In ACM Transactions on Software Engineering and Methodology.
  16. (TON 2024) Zhao, Ziming, Li, Zhaoxuan, Xiaofei Xie, Yu, Jiongchi, Zhang, Fan, Zhang, Rui, Chen, Binbin, Luo, Xiangyang, Hu, Ming and Ma, Wenrui. “FOSS: Towards Fine-Grained Unknown Class Detection against the Open-Set Attack Spectrum with Variable Legitimate Traffic”. In IEEE/ACM Transactions on Networking.
  17. (C&S 2024) Ziming Zhao, Zhaoxuan Li, Zhihao Zhou, Jiongchi Yu, Zhuoxue Song, Xiaofei Xie, Fan Zhang, Rui Zhang. “DDoS family: A novel perspective for massive types of DDoS attacks”. Computers & Security.

2023

  1. (ESEC/FSE 2023) Longtian Wang, Xiaofei Xie, Xiaoning Du, Meng Tian, Qing Guo, Zheng Yang, Chao Shen. “DistXplore: Distribution-guided Testing for Evaluating and Enhancing Deep Learning Systems”. In Proceedings of the 31th the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023.
  2. (ASE 2023) Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, and Xiaohong Li. “EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software”. In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023. ACM SIGSOFT Distinguished Paper Award
  3. (ASE 2023) Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao. “Generative Model-Based Testing on Decision-Making Policies”. In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023.
  4. (TOSEM 2023) Yuhan Zhi, Xiaofei Xie, Chao Shen, Jun Sun, Xiaoyu Zhang, Xiaohong Guan. “Seed Selection for Testing Deep Neural Networks”. In ACM Transactions on Software Engineering and Methodology.
  5. (TOSEM 2023) Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma, Yang Liu. “Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis”. In ACM Transactions on Software Engineering and Methodology.
  6. (ISSTA 2023) Mingfei Cheng, Yuan Zhou, Xiaofei Xie. “BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems”. In Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023.
  7. (TMC 2023) Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Xiaofei Xie, Haitao Xu and Binbin Chen. “CMD: Co-analyzed IoT Malware Detection and Forensics via Network and Hardware Domains”. In IEEE Transactions on Mobile Computing 2023.
  8. (TSE 2023) Shangqing Liu, Xiaofei Xie, Jingkai Siow, Lei Ma, Guozhu Meng, Yang Liu. “GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search”. In IEEE Transactions on Software Engineering, 2023.
  9. (ICSE 2023) Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Yujing Hu and Fan Zhang. “GameRTS: A Regression Testing Framework for Video Games” In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
  10. (ICSE 2023) Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng and Yang Liu. “ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning” In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
  11. (CVPR 2023) Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao. “Evading DeepFake Detectors via Adversarial Statistical Consistency”. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  12. (ICLR 2023) Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao. “Neural Episodic Control with State Abstraction”. In Proceedings of the 11th International Conference on Learning Representations, 2023.
  13. (USENIX Security 2023) Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma. “Decompiling x86 Deep Neural Network Executables” In Proceedings of the 32nd USENIX Security Symposium, 2023.
  14. (USENIX Security 2023) Cen Zhang, Yuekang Li, Hao Zhou, Xiaohan Zhang, Yaowen Zheng, Xian Zhan, Xiaofei Xie, Xiapu Luo, Xinghua Li, Yang Liu and Sheikh Mahbub Habib. “Automata-Guided Control-Flow-Sensitive Fuzz Driver Generation” In Proceedings of the 32nd USENIX Security Symposium, 2023.
  15. (ICSE 2023) Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon. “Aries: Efficient testing of deep neural networks via labeling-free accuracy estimation”. In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering.
  16. (ACSAC 2023) Mingtian Tan, Xiaofei Xie, Jun Sun, Tianhao Wang. “Mitigating membership inference attacks via weighted smoothing”. In Proceedings of the 39th Annual Computer Security Applications Conference.

2022

  1. (ESEC/FSE 2022) Xiuhan Shi, Xiaofei Xie, Yi Li, Yao Zhang, Sen Chen and Xiaohong Li. “Large-Scale Analysis of Non-Termination Bugs in Real-World OSS Projects”. In Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2022.
  2. (TSE 2022) Zhang, Yao, Xiaofei Xie, Yi Li, Yun Lin, Sen Chen, Yang Liu, and Xiaohong Li. “Demystifying Performance Regressions in String Solvers”. IEEE Transactions on Software Engineering (2022).
  3. (TPAMI 2022) Tian, Chris Xing, Haoliang Li, Xiaofei Xie, Yang Liu, and Shiqi Wang. “Neuron Coverage-Guided Domain Generalization”. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).
  4. (TOSEM 2022) Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu and Yang Liu. “NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks” in ACM Transactions on Software Engineering and Methodology, no. 3 (2022): 1-27
  5. (TDSC 2022) Siqi Li, Xiaofei Xie, Yun Lin, Yuekang Li, Ruitao Feng, Xiaohong Li, Weimin Ge, and Jin Song Dong. “Deep Learning for Coverage-Guided Fuzzing: How Far Are We?” In Transactions on Dependable and Secure Computing.
  6. (TOSEM 2022) Hu, Qiang, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, and Yves Le Traon. “An empirical study on data distribution-aware test selection for deep learning enhancement”. ACM Transactions on Software Engineering and Methodology (2022).
  7. (EMSE 2022) Li, Zhuo, Yuechen Wu, Lei Ma, Xiaofei Xie, Yingfeng Chen and Changjie Fan. “GBGallery : A Benchmark and Framework for Game Testing”. Empirical Software Engineering (2022).
  8. (MSR 2022) Ma, Wei, Mengjie Zhao, Ezekiel Soremekun, Qiang Hu, Jie Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, and Yves Le Traon. “GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses”. In Proceedings of the 19th International Conference on Mining Software Repositories (2022).
  9. (TCSVT 2022) Shangwei Guo, Tianwei Zhang, Han Yu, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu. “Byzantine-Resilient Decentralized Stochastic Gradient Descent”. IEEE Transactions on Circuits and Systems for Video Technology.

2021

  1. (ICML 2021) Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, and Xinyu Xing. “RNNrepair: Automatic RNN repair via model-based analysis”. In International Conference on Machine Learning, pp. 11383-11392. PMLR, 2021
  2. (CCS 2021) Xiaoyu He, Xiaofei Xie, Yuekang Li, Jianwen Sun, Feng Li, Wei Zou, Yang Liu, Lei Yu, Jianhua Zhou, Wenchang Shi and Wei Huo, “SoFi: Reflection-Augmented Fuzzing for JavaScript Engines”, In the ACM Conference on Computer and Communications Security (CCS), 2021
  3. (ASE 2021) Hu, Qiang, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, and Yves Le Traon. “Towards Exploring the Limitations of Active Learning: An Empirical Study”. In 2021 36th IEEE/ACM International Conference on Automated Software Engineering, pp. 917-929. IEEE, 2021.
  4. (IEEE TR 2021) Yu, Bing, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, and Jianjun Zhao. “DeepRepair: Style-Guided Repairing for Deep Neural Networks in the Real-World Operational Environment”. IEEE Transactions on Reliability, 2021.
  5. (TIFS 2021) Fan, Ming, Ziliang Si, Xiaofei Xie, Yang Liu, and Ting Liu. “Text Backdoor Detection Using an Interpretable RNN Abstract Model”. IEEE Transactions on Information Forensics and Security (TIFS), pp. 4117-4132, 2021.
  6. (TNNLS 2021) Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu and Yew Soon Ong “Breaking Neural Reasoning Architectures with Metamorphic Relation-Based Adversarial Examples” In IEEE Transactions on Neural Networks and Learning Systems
  7. (AsiaCCS 2021) Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie and Yang Liu “Stealing Deep Reinforcement Learning Models for Fun and Profit” In Proceedings of 16th ACM ASIA Conference on Computer and Communications Security
  8. (ICLR 2021) Shangqing Liu, Yu Chen, Xiaofei Xie, Jingkai Siow and Yang Liu, “Retrieval-Augmented Generation for Code Summarization via Hybrid GNN” In Proceedings of the 9th International Conference on Learning Representations (spotlight)
  9. (ICSE 2021) Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, and Yang Liu, “Automatic Web Testing using Curiosity-Driven Reinforcement Learning” In Proceedings of the 43rd International Conference on Software Engineering
  10. (AAAI 2021) Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun. “Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks” In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence
  11. (AAAI 2021) Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, and Jianjun Zhao. “EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining” In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence
  12. (Information Sciences 2021) Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang and Xiaofei Xie, “Understanding adversarial robustness via critical attacking route” In Information Sciences, Volume 547, PP 568-578

2020

  1. (NeurIPS 2020) Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu. “Watch out! Motion is Blurring the Vision of Your Deep Neural Networks” In Proceedings of the Thirty-fourth Conference on Neural Information Processing Systems
  2. (TIFS 2020) Ruitao Feng, Sen Chen, Xiaofei Xie, Guozhu Meng, Shang-Wei Lin, Yang Liu, “A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices” In IEEE Transactions on Information Forensics and Security
  3. (TIFS 2020) Ming Fan, Wenying Wei, Xiaofei Xie, Yang Liu, Xiaohong Guan, Ting Liu.”Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis” In IEEE Transactions on Information Forensics and Security
  4. (ASE 2020) David Berend, Xiaofei Xie, Lei Ma, Lingjun Zhou, Yang Liu, Chi Xu, Jianjun Zhao. “Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness” In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
  5. (ASE 2020) Qianyu Guo, Xiaofei Xie, Yi Li, Xiaoyu Zhang, Yang Liu, Xiaohong Li, Chao Shen. “Audee: Automated Testing for Deep Learning Frameworks” In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
  6. (ASE 2020) Xiaoning Du, Yi Li, Xiaofei Xie, Lei Ma, Yang Liu, Jianjun Zhao. “Marble: Model-Based Robustness Analysis of Stateful Deep Learning Systems” In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering (PDF)
  7. (ASE 2020) Lili Quan, Qianyu Guo, Hongxu Chen, Xiaofei Xie, Xiaohong Li, Yang Liu, Jing Hu. “SADT: Syntax-Aware Differential Testing of Certificate Validation in SSL/TLS Implementions” In Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
  8. (ACM MM 2020) Run Wang,Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu. “Amora: Black-box Adversarial Morphing Attack” In Proceedings of the 28th ACM International Conference on Multimedia
  9. (ACM MM 2020) Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwei Li, Weikai Miao, Yang Liu, and Geguang Pu. “FakePolisher: Making DeepFakes More Detection- Evasive by Shallow Reconstruction” In Proceedings of the 28th ACM International Conference on Multimedia
  10. (ACM MM 2020) Run Wang,Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, Yang Liu. “DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices” In Proceedings of the 28th ACM International Conference on Multimedia
  11. (ACM MM 2020) Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Wei Feng, Yang Liu, Jianjun Zhao. “DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms” In Proceedings of the 28th ACM International Conference on Multimedia
  12. (TDSC 2020) Guangquan Xu, Xiaofei Xie, Shuhan Huang, Jun Zhang, Lei Pan, Wei Lou, Kaitai Liang. “JSCSP: a Novel Policy-Based XSS Defense Mechanism for Browsers” In IEEE Transactions on Dependable and Secure Computing
  13. (ICSE 2020) Haijun Wang, Xiaofei Xie, Yi Li, Cheng Wen, Yuekang Li, Yang Liu, Shengchao Qin, Hongxu Chen and Yulei Sui. “Typestate-Guided Fuzzer for Discovering Use-after-Free Vulnerabilities” In Proceedings of the 42nd International Conference on Software Engineering
  14. (ICSE 2020) Xiyue Zhang#, Xiaofei Xie#, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun. “Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty” In Proceedings of the 42nd International Conference on Software Engineering
  15. (ICSE 2020) Cheng Wen, Haijun Wang, Yuekang Li, Shengchao Qin, Yang Liu, Zhiwu Xu, Hongxu Chen, Xiaofei Xie, Geguang Pu and Ting Liu. “MemLock: Memory Usage Guided Fuzzing” In Proceedings of the 42nd International Conference on Software Engineering
  16. (ECCV 2020) Qing Guo#, Xiaofei Xie#, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng and Yang Liu. “SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking” In Proceedings of the 16th European Conference on Computer Vision
  17. (IJCAI 2020) Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang and Yang Liu. “FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces” In Proceedings of the 29th International Joint Conference on Artificial Intelligence
  18. (AAAI 2020) Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen and Yang Liu. “Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning.” In Proceedings of the 34th AAAI Conference on Artificial Intelligence
  19. (ICPC 2020) Xiongfei Wu, Liangyu Qin, Bing Yu, Xiaofei Xie, Lei Ma, Yinxing Xue, Yang Liu, Jianjun Zhao, “How are Deep Learning Models Similar? An Empirical Study on Clone Analysis of Deep Learning Software” In Proceedings of the 28th International Conference on Program Comprehension

2019

  1. (TSE 2019) Xiaofei Xie, Bihuan Chen, Liang Zou, Yang Liu, Wei Le, and Xiaohong Li. X. Xie, B. Chen, L. Zou, Y. Liu, W. Le and X. Li, “Automatic Loop Summarization via Path Dependency Analysis.” In IEEE Transactions on Software Engineering, vol. 45, no. 6, pp. 537-557
  2. (ISSTA 2019) Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, and Simon See. “DeepHunter: a coverage-guided fuzz testing framework for deep neural networks.” In Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, pp. 146-157
  3. (IJCAI 2019) Xiaofei Xie, Lei Ma, Haijun Wang, Yuekang Li, Yang Liu, and Xiaohong Li. “DiffChaser: Detecting Disagreements for Deep Neural Networks.” In Proceedings of the 28th International Joint Conference on Artificial Intelligence. pp. 5772-5778
  4. (ASE 2019) Yan Zheng#, Xiaofei Xie#, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yinfeng Chen and Changjie Fan “Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning”. In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, ACM SIGSOFT Distinguished Paper Award
  5. (ESEC/FSE 2019) Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu and Jianjun Zhao. “DeepStellar: Model-Based Quantitative Analysis of Stateful Deep Learning Systems.” In Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 477-487
  6. (ASE Tool Demo 2019) Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Yang Liu and Jianjun Zhao. “A Quantitative Analysis Framework for Recurrent Neural Network.”In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering
  7. (ASE Tool Demo 2019) Qiang Hu, Lei Ma,Xiaofei Xie, Yu Bing, Yang Liu and Jianjun Zhao. “DeepMutation++: a Mutation Testing Framework for Deep Learning Systems.” In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering
  8. (ESEC/FSE 2019) Yuekang Li, Yinxing Xue, Hongxu Chen, Xiuheng Wu,Xiaofei Xie, Haijun Wang,Yang Liu and Jianwei Yin. “CEREBRO: Context-aware adaptive fuzzing for effective vulnerability detection.” ” In Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 533–544
  9. (ASE 2019, Tool Demo) Xiaofei Xie, Hongxu Chen, Yi Li, Lei Ma, Yang Liu, Jianjun Zhao. “Coverage-guided fuzzing for feedforward neural networks”. In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering.
  10. (ASE 2019) Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li. “An empirical study towards characterizing deep learning development and deployment across different frameworks and platforms”. In Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering.

2018

  1. (CCS 2018) Hongxu Chen, Yinxing Xue, Yuekang Li, Bihuan Chen, Xiaofei Xie, Xiuheng Wu and Yang Liu. “Hawkeye: towards a desired directed grey-box fuzzer.” In Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, pp. 2095-2108

2017

  1. (ESEC/FSE 2017) Xiaofei Xie, Bihuan Chen, Liang Zou, Shang-Wei Lin, Yang Liu, and Xiaohong Li. “Loopster: static loop termination analysis.” In Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, pp. 84-94. ACM

2016

  1. (FSE 2016) Xiaofei Xie, Bihuan Chen, Yang Liu, Wei Le, and Xiaohong Li. “Proteus: Computing disjunctive loop summary via path dependency analysis.” In Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, pp. 61-72. ACM, ACM SIGSOFT Distinguished Paper Award
  2. (FSE SRC 2016) Xiaofei Xie. “Static loop analysis and its applications.” In Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, pp. 1130-1132

2015

  1. (ISSTA 2015) Xiaofei Xie, Yang Liu, Wei Le, Xiaohong Li, and Hongxu Chen. “S-looper: automatic summarization for multipath string loops.” In Proceedings of the 2015 International Symposium on Software Testing and Analysis, pp. 188-198