conf.researchr.org / Lei Ma
Registered user since Sun 1 Apr 2018
Name:Lei Ma
Country:Japan
Affiliation:The University of Tokyo & University of Alberta
Personal website: https://www.malei.org
Research interests:Quality Assurance for Machine Learning, Machine Learning System engineering, Software Testing and Analysis, Debugging, Repair, etc.
Contributions
2026
2025
SE4ADS
- Author of Conflict-based Scenario Generation for Autonomous Driving System Validation within the SE for Autonomous Driving Systems-track
- Author of Evaluating the Robustness of Uncertainty Quantification-Based Misbehavior Predictors for Autonomous Driving Systems: A Case Study within the SE for Autonomous Driving Systems-track
ICSE
- Author of Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models within the Research Track-track
- Committee Member in Research Track within the Research Track-track
- Committee Member in ACM Student Research Competition within the SRC - ACM Student Research Competition-track
- Author in Software Engineering in Practice within the SE In Practice (SEIP)-track
- Author of LUNA: A Model-Based Universal Analysis Framework for Large Language Models within the Journal-first Papers-track
- Author of Are LLMs Correctly Integrated into Software Systems? within the Research Track-track
2024
ASE
ESEC/FSE
- Author of Do Code Generation Models Think Like Us? - A Study of Attention Alignment between Large Language Models and Human Programmers within the Research Papers-track
- Author of Test Input Prioritization for 3D Point Clouds within the Journal First-track
- Author of Do Code Generation Models Think Like Us? - A Study of Attention Alignment between Large Language Models and Human Programmers within the Posters-track
- Committee Member in Program Committee within the Posters-track
ICSE
- Author of MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems within the Research Track-track
- Session Chair of Technical Briefings 3 (part of Technical Briefings)
- Author of SIEGE: A Semantics-Guided Safety Enhancement Framework for AI-enabled Cyber-Physical Systems within the Journal-first Papers-track
- Author of Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation within the Software Engineering in Practice-track
- Author of Technical Briefing on Deep Neural Network Repair within the Technical Briefings-track
International Conference on Program Comprehension
2023
ESEC/FSE
- Author of [Remote] Demystifying Dependency Bugs in Deep Learning Stack within the Research Papers-track
- Committee Member in Program Committee within the Research Papers-track
- Author of Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities within the Research Papers-track
- Author of [Remote] DeepRover: A Query-efficient Blackbox Attack for Deep Neural Networks within the Research Papers-track
ASE
- Author of Towards Robustness of Deep Program Processing Models -- Detection, Estimation and Enhancement within the Journal-first Papers-track
- Author of QuraTest: Integrating Quantum Specific Features in Quantum Program Testing within the Research Papers-track
- Author of Aster: Automatic Speech Recognition System Accessibility Testing for Stutterers within the Research Papers-track
- Committee Member in Program Committee within the Tutorials-track
- Committee Member in Program Committee within the Research Papers-track
- Author of Generative Model-Based Testing on Decision-Making Policies within the Research Papers-track
ICSE
- Author of Towards Understanding Quality Challenges of the Federated Learning for Neural Networks: A First Look from the Lens of Robustness within the Journal-First Papers-track
- Author of CodeS: Towards Code Model Generalization Under Distribution Shift within the NIER - New Ideas and Emerging Results-track
- Program Committee Member in Technical Track 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 FalsifAI: Falsification of AI-Enabled Hybrid Control Systems Guided by Time-Aware Coverage Criteria within the Journal-First Papers-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 An Empirical Study of the Impact of Hyperparameter Tuning and Model Optimization on the Performance Properties of Deep Neural Networks within the Journal-First Papers-track
International Conference on Program Comprehension
2022
ASE
AISTA
ICSE
- Committee Member in Mentors within the SMeW - Student Mentoring Workshop-track
- Author of When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward within the SEIP - Software Engineering in Practice-track
- Session Chair of Machine Learning with and for SE 7 (part of Technical Track)
2021
ASE
MODELS
ESEC/FSE
- Author of An Empirical Study of GUI Widget Detection for Industrial Mobile Games within the Industry Papers-track
- Committee Member in Program Committee within the Research Papers-track
- Session Chair of Testing—Fuzzing (part of Research Papers)
- Session Chair of SE & AI—Software Engineering for Machine Learning 1 (part of Research Papers)
AISTA
International Conference on Program Comprehension
2020
ESEC/FSE
ASE
- 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
International Conference on Program Comprehension
2019
ASE
- 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