Lei Ma

Registered user since Sun 1 Apr 2018

Name: Lei Ma

Country: Japan

Affiliation: Kyushu University

Personal website: https://www.malei.xyz

Research interests: Quality Assurance and Security for Machine Learning, Software Testing, MSR

Contributions

DeepTest 2021 Committee Member in Program Committee within the deeptest2021-track
MODELS 2021 Student Volunteers Chairs in Organizing Committee
ASE 2021 Committee Member in Program Committee within the Research Papers-track
ICPC 2021 Committee Member in Program Committee within the Research-track
ESEC/FSE 2021 Committee Member in Program Committee within the Research Papers-track
ECOOP and ISSTA 2021 Co-chair in Organizing Committee within the AISTA-track
ASE 2020 Author of Cats Are Not Fish: Deep Learning Testing Calls for Out-Of-Distribution Awareness within the Research Papers-track
Committee Member in Program Committee within the Research Papers-track
Author of MARBLE: Model-Based Robustness Analysis of Stateful Deep Learning Systems within the Research Papers-track
ESEC/FSE 2020 Author of Machine Learning Testing: Survey, Landscapes and Horizons within the Journal First-track
Author of A First Look at the Integration of Machine Learning Models in Complex Autonomous Driving Systems: A Case Study on Apollo within the Industry 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
Celebration of ASE 2019 Author of Quality and Reliability for Machine Learning Systems within the Celebration of ASE 2019-track
ICSE 2021 Author of Automatic Web Testing using Curiosity-Driven Reinforcement Learning within the Technical Track-track
ASE 2019 Author of DeepHunter: A Coverage-Guided Fuzzer for Deep Neural Networks within the Demonstrations-track
Committee Member in Program Committee within the Research Papers-track
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 An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms within the Research Papers-track
Author of DeepMutation++: a Mutation Testing Framework for Deep Learning Systems within the Demonstrations-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
ICSE 2019 Author of VULTRON: Catching Vulnerable Smart Contracts Once and for All within the New Ideas and Emerging Results-track
MSR 2018 Author of Characterising Deprecated Android APIs within the Technical Papers-track