Zhengyuan Wei

Orcid: 0000-0001-5966-1338

According to our database1, Zhengyuan Wei authored at least 21 papers between 2008 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HiCert: Toward Patch Robustness Certification and Detection for Deep Learning Systems Beyond Consistent Samples.
IEEE Trans. Reliab., 2026

2025
Toward Patch Robustness Certification and Detection for Deep Learning Systems Beyond Consistent Samples.
CoRR, December, 2025

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models.
ACM Trans. Softw. Eng. Methodol., January, 2025

Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top- $k$ Predictions.
Proceedings of the 25th International Conference on Software Quality, 2025

AugOracle: In-Capability Raw Input Validation for Deep Learning Models in Deployment.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024
CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models.
Proc. ACM Softw. Eng., 2024

A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models.
CoRR, 2024

Toward AI-facilitated Learning Cycle in Integration Course Through Pair Programming with AI Agents.
Proceedings of the 36th International Conference on Software Engineering Education and Training, 2024

2023
DeepPatch: Maintaining Deep Learning Model Programs to Retain Standard Accuracy with Substantial Robustness Improvement.
ACM Trans. Softw. Eng. Methodol., November, 2023

Gearbox Compound Fault Diagnosis in Edge-IoT Based on Legendre Multiwavelet Transform and Convolutional Neural Network.
Sensors, October, 2023

Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2022
Predictive Mutation Analysis of Test Case Prioritization for Deep Neural Networks.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

SEbox4DL: A Modular Software Engineering Toolbox for Deep Learning Models.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

2021
Execution Repair for Spark Programs by Active Maintenance of Partition Dependency.
IEEE Access, 2021

Fuzzing Deep Learning Models against Natural Robustness with Filter Coverage<sup>‡</sup>.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

2020
BlockRace: A Big Data Approach to Dynamic Block-based Data Race Detection for Multithreaded Programs.
Proceedings of the AST@ICSE 2020: IEEE/ACM 1st International Conference on Automation of Software Test, 2020

2018
Discontinuous Legendre wavelet Galerkin method for the generalised Burgers-Fisher equation.
Int. J. Comput. Sci. Math., 2018

2017
Discontinuous Legendre wavelet Galerkin method for reaction-diffusion equation.
Int. J. Comput. Math., 2017

2008
Second order exponential differential operator and generalized Hermite polynomials.
Appl. Math. Comput., 2008


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