| Predictive mutation analysis of test case prioritization for deep neural networks Z Wei, H Wang, I Ashraf, WK Chan 2022 IEEE 22nd International Conference on Software Quality, Reliability and …, 2022 | 5 | 2022 |
| SEbox4DL: A modular software engineering toolbox for deep learning models Z Wei, H Wang, Z Yang, WK Chan Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 2 | 2022 |
| DeepPatch: Maintaining Deep Learning Model Programs to Retain Standard Accuracy with Substantial Robustness Improvement Z Wei, H Wang, I Ashraf, WK Chan ACM Transactions on Software Engineering and Methodology 32 (6), 1-49, 2023 | 1 | 2023 |
| A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models Q Zhou, Z Wei, H Wang, WK Chan 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 1 | 2023 |
| Orchid: Building Dynamic Test Oracles with Training Bias for Improving Deep Neural Network Models H Wang, WK Chan 2021 8th International Conference on Dependable Systems and Their …, 2021 | 1 | 2021 |
| Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models H Wang, Z Wei, Q Zhou, B Jiang, WK Chan 2023 IEEE 23rd International Conference on Software Quality, Reliability …, 2023 | | 2023 |
| DeepPatch: Maintaining Deep Learning Model Programs to Retain Standard Accuracy with Substantial Robustness Improvement WEI Zhengyuan, W Haipeng, I ASHRAF, C Wing-Kwong ACM Transactions on Software Engineering and Methodology, 2023 | | 2023 |
| Execution Repair for Spark Programs by Active Maintenance of Partition Dependency X Mei, I Ashraf, X Ma, H Zhang, Z Wei, H Wang, WK Chan IEEE Access 9, 101555-101573, 2021 | | 2021 |
