Xiaofei Xie

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 191

Top Venues

Publications

Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao
Importance Guided Data Augmentation for Neural-Based Code Understanding. CoRR (2024)
Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. CoRR (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. ICSE (2024)
Yuhan Zhi, Xiaofei Xie, Chao Shen, Jun Sun, Xiaoyu Zhang, Xiaohong Guan
Seed Selection for Testing Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Peiheng Zhou, Ming Hu, Xiaofei Xie, Yihao Huang, Kangjie Chen, Mingsong Chen
MIP: CLIP-based Image Reconstruction from PEFT Gradients. CoRR (2024)
Dong Huang, Xiaofei Xie, Heming Cui
Themis: Automatic and Efficient Deep Learning System Testing with Strong Fault Detection Capability. CoRR (2024)
Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis. ICSE (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. Comput. Secur. 138 (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Test Optimization in DNN Testing: A Survey. ACM Trans. Softw. Eng. Methodol. 33 (4) (2024)
Lezhi Ma, Shangqing Liu, Yi Li, Xiaofei Xie, Lei Bu
SpecGen: Automated Generation of Formal Program Specifications via Large Language Models. CoRR (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. IEEE Trans. Software Eng. 50 (5) (2024)
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 (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. KDD (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
NN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33 (2) (2024)
Qiang Hu, Jin Wen, Maxime Cordy, Yuheng Huang, Xiaofei Xie, Lei Ma
Enhancing Fault Detection for Large Language Models via Mutation-Based Confidence Smoothing. CoRR (2024)
Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. CoRR (2024)
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 (2024)
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 (2024)
Jiaolong Kong, Mingfei Cheng, Xiaofei Xie, Shangqing Liu, Xiaoning Du, Qi Guo
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs. CoRR (2024)
Ziming Zhao, Zhaoxuan Li, Jiongchi Yu, Fan Zhang, Xiaofei Xie, Haitao Xu, Binbin Chen
CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains. IEEE Trans. Mob. Comput. 23 (5) (2024)
Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. LCTES (2024)
Bowen Zhang, Xiaofei Xie, Haotian Lu, Na Ma, Tianlin Li, Qing Guo
MAVIN: Multi-Action Video Generation with Diffusion Models via Transition Video Infilling. CoRR (2024)
Tianlin Li, Xiaofei Xie, Jian Wang, Qing Guo, Aishan Liu, Lei Ma, Yang Liu
Faire: Repairing Fairness of Neural Networks via Neuron Condition Synthesis. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Shangqing Liu, Wei Ma, Jian Wang, Xiaofei Xie, Ruitao Feng, Yang Liu
Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. CoRR (2024)
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 (2023)
Cen Zhang, Mingqiang Bai, Yaowen Zheng, Yeting Li, Xiaofei Xie, Yuekang Li, Wei Ma, Limin Sun, Yang Liu
Understanding Large Language Model Based Fuzz Driver Generation. CoRR (2023)
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 (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. CoRR (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. ICSE (2023)
Mingfei Cheng, Yuan Zhou, Xiaofei Xie
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. ISSTA (2023)
Cen Zhang, Yuekang Li, Hao Zhou, Xiaohan Zhang, Yaowen Zheng, Xian Zhan, Xiaofei Xie, Xiapu Luo, Xinghua Li, Yang Liu, Sheikh Mahbub Habib
Automata-Guided Control-Flow-Sensitive Fuzz Driver Generation. USENIX Security Symposium (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. CoRR (2023)
Jian Wang, Shangqing Liu, Xiaofei Xie, Yi Li
Evaluating AIGC Detectors on Code Content. CoRR (2023)
Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao
Widget Detection-based Testing for Industrial Mobile Games. ICSE-SEIP (2023)
Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma
Decompiling x86 Deep Neural Network Executables. USENIX Security Symposium (2023)
Shangqing Liu, Xiaofei Xie, Jing Kai Siow, Lei Ma, Guozhu Meng, Yang Liu
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search. IEEE Trans. Software Eng. 49 (4) (2023)
Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang
Neuron Coverage-Guided Domain Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (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. ASE (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. ICLR (2023)
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. CoRR (2023)
Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu
Multi-target Backdoor Attacks for Code Pre-trained Models. ACL (1) (2023)
Mingfei Cheng, Yuan Zhou, Xiaofei Xie
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems. CoRR (2023)
Maxime Cordy, Xiaofei Xie, Bowen Xu, Bibi Stamatia
MaLTeSQuE 2022 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes 48 (1) (2023)
Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. EMNLP (Findings) (2023)
Mingtian Tan, Xiaofei Xie, Jun Sun, Tianhao Wang
Mitigating Membership Inference Attacks via Weighted Smoothing. ACSAC (2023)
Yuqiang Sun, Daoyuan Wu, Yue Xue, Han Liu, Haijun Wang, Zhengzi Xu, Xiaofei Xie, Yang Liu
When GPT Meets Program Analysis: Towards Intelligent Detection of Smart Contract Logic Vulnerabilities in GPTScan. CoRR (2023)
Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen
A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection. CoRR (2023)
Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang
GameRTS: A Regression Testing Framework for Video Games. ICSE (2023)
Dong Huang, Qingwen Bu, Jie Zhang, Xiaofei Xie, Junjie Chen, Heming Cui
Bias Assessment and Mitigation in LLM-based Code Generation. CoRR (2023)
Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, Xiaohong Li
EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software. CoRR (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. ESEC/SIGSOFT FSE (2023)
Jie Zhang, Wei Ma, Qiang Hu, Xiaofei Xie, Yves Le Traon, Yang Liu
RNNS: Representation Nearest Neighbor Search Black-Box Attack on Code Models. CoRR (2023)
Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. CoRR (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. CoRR (2023)
Yao Zhang, Xiaofei Xie, Yi Li, Sen Chen, Cen Zhang, Xiaohong Li
EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software. ASE (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
CodeS: Towards Code Model Generalization Under Distribution Shift. ICSE (NIER) (2023)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN (2023)
Yao Zhang, Xiaofei Xie, Yi Li, Yun Lin, Sen Chen, Yang Liu, Xiaohong Li
Demystifying Performance Regressions in String Solvers. IEEE Trans. Software Eng. 49 (3) (2023)
Wei Ma, Chenguang Zhu, Ye Liu, Xiaofei Xie, Yi Li
A Comprehensive Study of Governance Issues in Decentralized Finance Applications. CoRR (2023)
Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao
Evading DeepFake Detectors via Adversarial Statistical Consistency. CoRR (2023)
Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi
SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack. ICDM (Workshops) (2023)
Ke Liu, Xiang Chen, Chunyang Chen, Xiaofei Xie, Zhanqi Cui
Automated Question Title Reformulation by Mining Modification Logs From Stack Overflow. IEEE Trans. Software Eng. 49 (9) (2023)
Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. ICSE (2023)
Yang Hou, Qing Guo, Yihao Huang, Xiaofei Xie, Lei Ma, Jianjun Zhao
Evading DeepFake Detectors via Adversarial Statistical Consistency. CVPR (2023)
Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang, Yang Liu
Multi-target Backdoor Attacks for Code Pre-trained Models. CoRR (2023)
Chengwei Zhang, Yu Tian, Zhibin Zhang, Wanli Xue, Xiaofei Xie, Tianpei Yang, Xin Ge, Rong Chen
Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. CoRR (2022)
Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Guangquan Xu, Xiaofei Xie, Shuhan Huang, Jun Zhang, Lei Pan, Wei Lou, Kaitai Liang
JSCSP: A Novel Policy-Based XSS Defense Mechanism for Browsers. IEEE Trans. Dependable Secur. Comput. 19 (2) (2022)
Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie, Yingfeng Chen, Changjie Fan
GBGallery : A benchmark and framework for game testing. Empir. Softw. Eng. 27 (6) (2022)
Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu
TransRepair: Context-aware Program Repair for Compilation Errors. ASE (2022)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. CoRR (2022)
Bozhi Wu, Shangqing Liu, Ruitao Feng, Xiaofei Xie, Jing Kai Siow, Shang-Wei Lin
Enhancing Security Patch Identification by Capturing Structures in Commits. CoRR (2022)
Lili Quan, Qianyu Guo, Xiaofei Xie, Sen Chen, Xiaohong Li, Yang Liu
Towards Understanding the Faults of JavaScript-Based Deep Learning Systems. ASE (2022)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon
An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. CoRR (2022)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Efficient Testing of Deep Neural Networks via Decision Boundary Analysis. CoRR (2022)
Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu
Learning Program Semantics with Code Representations: An Empirical Study. CoRR (2022)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning. CoRR (2022)
Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma
Decompiling x86 Deep Neural Network Executables. CoRR (2022)
Liming Zhai, Qing Guo, Xiaofei Xie, Lei Ma, Yi Estelle Wang, Yang Liu
GAN: Attribute-Aware Anonymization Networks for Face De-identification. ACM Multimedia (2022)
Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon
Labeling-Free Comparison Testing of Deep Learning Models. CoRR (2022)
Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu
Learning Program Semantics with Code Representations: An Empirical Study. SANER (2022)
Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu
TransRepair: Context-aware Program Repair for Compilation Errors. CoRR (2022)
Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu
Is Self-Attention Powerful to Learn Code Syntax and Semantics? CoRR (2022)
Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao
DeepRepair: Style-Guided Repairing for Deep Neural Networks in the Real-World Operational Environment. IEEE Trans. Reliab. 71 (4) (2022)
Xiaofei Xie, Tianlin Li, Jian Wang, Lei Ma, Qing Guo, Felix Juefei-Xu, Yang Liu
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks. ACM Trans. Softw. Eng. Methodol. 31 (3) (2022)
Xiuhan Shi, Xiaofei Xie, Yi Li, Yao Zhang, Sen Chen, Xiaohong Li
Large-scale analysis of non-termination bugs in real-world OSS projects. ESEC/SIGSOFT FSE (2022)
Shangwei Guo, Tianwei Zhang, Han Yu, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu
Byzantine-Resilient Decentralized Stochastic Gradient Descent. IEEE Trans. Circuits Syst. Video Technol. 32 (6) (2022)
Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Xiaofei Xie, Yi Li, Yang Liu
Unveiling Project-Specific Bias in Neural Code Models. CoRR (2022)
Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. MSR (2022)
Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu
Cross-lingual transfer learning for statistical type inference. ISSTA (2022)
Xiaofei Xie, Jingyi Shen, Yifan Zhao, Ruilin Yang
Research and Design of Big Data Relevance Analysis System for Land Development Industry Chain. ICCCS (2021)
Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu
AVA: Adversarial Vignetting Attack against Visual Recognition. IJCAI (2021)
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. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Yingwen Lin, Yao Zhang, Sen Chen, Fu Song, Xiaofei Xie, Xiaohong Li, Lintan Sun
Inferring Loop Invariants for Multi-Path Loops. TASE (2021)
Xiaoyu He, Xiaofei Xie, Yuekang Li, Jianwen Sun, Feng Li, Wei Zou, Yang Liu, Lei Yu, Jianhua Zhou, Wenchang Shi, Wei Huo
SoFi: Reflection-Augmented Fuzzing for JavaScript Engines. CCS (2021)
Binyu Tian, Felix Juefei-Xu, Qing Guo, Xiaofei Xie, Xiaohong Li, Yang Liu
AVA: Adversarial Vignetting Attack against Visual Recognition. CoRR (2021)
Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang
Neuron Coverage-Guided Domain Generalization. CoRR (2021)

Xiaofei Xie.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Xiaofei Xie