Wei Le

Orcid: 0000-0002-6797-0648

According to our database1, Wei Le authored at least 44 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection.
CoRR, 2024

Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

TRACED: Execution-aware Pre-training for Source Code.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Reducing branch divergence to speed up parallel execution of unit testing on GPUs.
J. Supercomput., November, 2023

ActiveClean: Generating Line-Level Vulnerability Data via Active Learning.
CoRR, 2023

Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection.
CoRR, 2023

Towards Causal Deep Learning for Vulnerability Detection.
CoRR, 2023

MixQuant: Mixed Precision Quantization with a Bit-width Optimization Search.
CoRR, 2023

Reproducing Failures in Fault Signatures.
CoRR, 2023

An Effective Data-Driven Approach for Localizing Deep Learning Faults.
CoRR, 2023

Beryllium: Neural Search for Algorithm Implementations.
CoRR, 2023

A Study of Static Warning Cascading Tools (Experience Paper).
CoRR, 2023

Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GameRTS: A Regression Testing Framework for Video Games.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

An Empirical Study of Deep Learning Models for Vulnerability Detection.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

S-SOLVER: Numerically Stable Adaptive Step Size Solver for Neural ODEs.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection.
CoRR, 2022

FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Specifying Callback Control Flow of Mobile Apps Using Finite Automata.
IEEE Trans. Software Eng., 2021

Validating static warnings via testing code fragments.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

DeepLocalize: Fault Localization for Deep Neural Networks.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

RNNRepair: Automatic RNN Repair via Model-based Analysis.
Proceedings of the 38th International Conference on Machine Learning, 2021

An Improved (Adversarial) Reprogramming Technique for Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2019
Automatic Loop Summarization via Path Dependency Analysis.
IEEE Trans. Software Eng., 2019

Testing Criteria for Mobile Apps Based on Callback Sequences.
CoRR, 2019

Invariant Diffs.
CoRR, 2019

Research on the Influence of Airline Service Factors on Purchase Intention: Based on Emotional Perspective.
Proceedings of the 2019 3rd International Conference on Management Engineering, 2019

2017
Generating Predicate Callback Summaries for the Android Framework.
Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

Predicate callback summaries.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
Proteus: computing disjunctive loop summary via path dependency analysis.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Generating performance distributions via probabilistic symbolic execution.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
S-looper: automatic summarization for multipath string loops.
Proceedings of the 2015 International Symposium on Software Testing and Analysis, 2015

2014
A code clone oracle.
Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

Patch verification via multiversion interprocedural control flow graphs.
Proceedings of the 36th International Conference on Software Engineering, 2014

2013
Marple: Detecting faults in path segments using automatically generated analyses.
ACM Trans. Softw. Eng. Methodol., 2013

Segmented symbolic analysis.
Proceedings of the 35th International Conference on Software Engineering, 2013

2011
Generating analyses for detecting faults in path segments.
Proceedings of the 20th International Symposium on Software Testing and Analysis, 2011

Lazy preemption to enable path-based analysis of interrupt-driven code.
Proceedings of the 2nd Workshop on Software Engineering for Sensor Network Applications, 2011

2010
Path-based fault correlations.
Proceedings of the 18th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2010

2008
Marple: a demand-driven path-sensitive buffer overflow detector.
Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2008

2007
Refining buffer overflow detection via demand-driven path-sensitive analysis.
Proceedings of the 7th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering, 2007

2005
Software Assurance by Bounded Exhaustive Testing.
IEEE Trans. Software Eng., 2005


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