Haipeng Wang

According to our database, Haipeng Wang authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HiCert: Toward Patch Robustness Certification and Detection for Deep Learning Systems Beyond Consistent Samples.

Qilin Zhou, Zhengyuan Wei, Haipeng Wang, Zhuo Wang, Wing-Kwong Chan

IEEE Trans. Reliab., 2026

2025

Toward Patch Robustness Certification and Detection for Deep Learning Systems Beyond Consistent Samples.

Qilin Zhou, Zhengyuan Wei, Haipeng Wang, Zhuo Wang, Wing Kwong Chan

CoRR, December, 2025

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models.

Haipeng Wang, Zhengyuan Wei, Qilin Zhou, Wing-Kwong Chan

ACM Trans. Softw. Eng. Methodol., January, 2025

Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top- $k$ Predictions.

Qilin Zhou, Haipeng Wang, Zhengyuan Wei, Wing Kwong Chan

Proceedings of the 25th International Conference on Software Quality, 2025

2024

CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models.

Qilin Zhou, Zhengyuan Wei, Haipeng Wang, Bo Jiang, Wing-Kwong Chan

Proc. ACM Softw. Eng., 2024

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

Zhengyuan Wei, Haipeng Wang, Qilin Zhou, W. K. Chan

CoRR, 2024

2023

DeepPatch: Maintaining Deep Learning Model Programs to Retain Standard Accuracy with Substantial Robustness Improvement.

Zhengyuan Wei, Haipeng Wang, Imran Ashraf, Wing-Kwong Chan

ACM Trans. Softw. Eng. Methodol., November, 2023

Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models.

Haipeng Wang, Zhengyuan Wei, Qilin Zhou, Bo Jiang, Wing Kwong Chan

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models.

Qilin Zhou, Zhengyuan Wei, Haipeng Wang, W. K. Chan

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.

Zhengyuan Wei, Haipeng Wang, Imran Ashraf, W. K. Chan

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

SEbox4DL: A Modular Software Engineering Toolbox for Deep Learning Models.

Zhengyuan Wei, Haipeng Wang, Zhen Yang, W. K. Chan

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.

Xiupei Mei, Imran Ashraf, Xiaoxue Ma, Hao Zhang, Zhengyuan Wei, Haipeng Wang, W. K. Chan

IEEE Access, 2021

Orchid: Building Dynamic Test Oracles with Training Bias for Improving Deep Neural Network Models ^†.

Haipeng Wang, W. K. Chan

Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021