Xiaofei Xie

Registered user since Fri 13 Sep 2019

Name:Xiaofei Xie
Country:Japan
Affiliation:Kyushu University
Research interests:Program Analysis, Software Testing

Contributions

AISTA 2021 Session Chair of Main Session (part of AISTA)
Co-chair in Organizing Committee within the AISTA-track
ASE 2021 Author of A First Look at the Effect of Deep Learning inCoverage-guided Fuzzing within the Late Breaking Results-track
Author of Towards Exploring the Limitations of Active Learning: An Empirical Study within the Research Papers-track
ESEC/FSE 2021 Author of An Empirical Study of GUI Widget Detection for Industrial Mobile Games within the Industry Papers-track
ECOOP and ISSTA 2021 Committee Member in Program Committee within the Doctoral Symposium-track
ASE 2020 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
ICPC 2020 Author of How are Deep Learning Models Similar? An Empirical Study on Clone Analysis of Deep Learning Software within the Research-track
ICSE 2021 Author of Automatic Web Testing using Curiosity-Driven Reinforcement Learning within the Technical Track-track
ASE 2019 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
ISSTA 2019 Author of DeepHunter: A Coverage-Guided Fuzz Testing Framework for Deep Neural Networks within the Technical Papers-track
ICSE 2020 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