conf.researchr.org / Xiaofei Xie
Registered user since Fri 13 Sep 2019
Name:Xiaofei Xie
Country:Singapore
Affiliation:Singapore Management University
Personal website: https://xiaofeixie.bitbucket.io/
Research interests:Program Analysis, Software Testing
Contributions
2025
ICSE
2024
APSEC
ASE
- Committee Member in Program Committee within the Journal-first Papers-track
- Author of ASE 2024 Artifact Submission: Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality within the Artifact Evaluation Track-track
- Author of Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality within the Research Papers-track
- Author of Neuron Sensitivity Guided Test Case Selection within the Journal-first Papers-track
- Author of AdvSCanner: Generating Adversarial Smart Contracts to Exploit Reentrancy Vulnerabilities Using LLM and Static Analysis within the Research Papers-track
- Author of An Empirical Study to Evaluate AIGC Detectors on Code Content within the Research Papers-track
ISSTA
- Author of Enhancing Multi-agent System Testing with Diversity-Guided Exploration and Adaptive Critical State Exploitation within the Technical Papers-track
- Author of FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion within the Technical Papers-track
- Author of Bugs in Pods: Understanding Bugs in Container Runtime Systems within the Technical Papers-track
- Committee Member in Program Committee within the Technical Papers-track
- Author of How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation within the Technical Papers-track
2023
Mining Software Repositories
ESEC/FSE
ASE
ICSE
- Committee Member in Posters within the Posters-track
- Author of Widget Detection-based Testing for Industrial Mobile Games within the SEIP - Software Engineering in Practice-track
- Author of GameRTS: A Regression Testing Framework for Video Games within the Technical Track-track
- Author of Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation within the Technical Track-track
- Author of CodeS: Towards Code Model Generalization Under Distribution Shift within the NIER - New Ideas and Emerging Results-track
- Author of ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning within the Technical Track-track
2022
ASE
- Committee Member in Program Committee within the Student Research Competition-track
- Author of Demystifying Performance Regressions in String Solvers within the Journal-first Papers-track
- Author of Towards Understanding the Faults of JavaScript-Based Deep Learning Systems within the Research Papers-track
- Author of TransRepair: Context-aware Program Repair for Compilation Errors within the Research Papers-track
AISTA
2021
ASE
AISTA
2020
ASE
- Author of Audee: Automated Testing for Deep Learning Frameworks within the Research Papers-track
- Author of Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness within the Research Papers-track
- Author of MARBLE: Model-Based Robustness Analysis of Stateful Deep Learning Systems within the Research Papers-track
ICSE
- Author of Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty within the Technical Papers-track
- Author of Typestate-Guided Fuzzer for Discovering Use-after-Free Vulnerabilities within the Technical Papers-track
- Author of MemLock: Memory Usage Guided Fuzzing within the Technical Papers-track
International Conference on Program Comprehension
2019
ASE
- Author of Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning within the Research Papers-track
- Author of A Quantitative Analysis Framework for Recurrent Neural Network within the Demonstrations-track
- Author of DeepHunter: A Coverage-Guided Fuzzer for Deep Neural Networks within the Demonstrations-track
- Author of DeepMutation++: a Mutation Testing Framework for Deep Learning Systems within the Demonstrations-track
- Author of An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms within the Research Papers-track