Improving bug localization with word embedding and enhanced convolutional neural networks Y Xiao, J Keung, KE Bennin, Q Mi Information and Software Technology 105, 17-29, 2019 | 106 | 2019 |
COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction S Feng, J Keung, X Yu, Y Xiao, KE Bennin, MA Kabir, M Zhang Information and Software Technology 129, 106432, 2021 | 88 | 2021 |
Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction S Feng, J Keung, X Yu, Y Xiao, M Zhang Information and Software Technology 139, 106662, 2021 | 83 | 2021 |
Improving code readability classification using convolutional neural networks Q Mi, J Keung, Y Xiao, S Mensah, Y Gao Information and Software Technology 104, 60-71, 2018 | 69 | 2018 |
Improving bug localization with an enhanced convolutional neural network Y Xiao, J Keung, Q Mi, KE Bennin 2017 24th Asia-Pacific Software Engineering Conference (APSEC), 338-347, 2017 | 62 | 2017 |
Machine translation-based bug localization technique for bridging lexical gap Y Xiao, J Keung, KE Bennin, Q Mi Information and Software Technology 99, 58-61, 2018 | 50 | 2018 |
Centrality-based middlepoint selection for traffic engineering with segment routing G Trimponias, Y Xiao, H Xu, X Wu, Y Geng arXiv preprint arXiv:1703.05907, 2017 | 42 | 2017 |
A gamification technique for motivating students to learn code readability in software engineering Q Mi, J Keung, X Mei, Y Xiao, WK Chan 2018 International Symposium on Educational Technology (ISET), 250-254, 2018 | 40 | 2018 |
Bug localization with semantic and structural features using convolutional neural network and cascade forest Y Xiao, J Keung, Q Mi, KE Bennin Proceedings of the 22nd International Conference on Evaluation and …, 2018 | 39 | 2018 |
Predicting the precise number of software defects: Are we there yet? X Yu, J Keung, Y Xiao, S Feng, F Li, H Dai Information and Software Technology 146, 106847, 2022 | 34 | 2022 |
Adversarial robustness of deep neural networks: A survey from a formal verification perspective MH Meng, G Bai, SG Teo, Z Hou, Y Xiao, Y Lin, JS Dong IEEE Transactions on Dependable and Secure Computing, 2022 | 31 | 2022 |
Self-checking deep neural networks in deployment Y Xiao, I Beschastnikh, DS Rosenblum, C Sun, S Elbaum, Y Lin, JS Dong 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 29 | 2021 |
Improving bug localization with character-level convolutional neural network and recurrent neural network Y Xiao, J Keung 2018 25th Asia-Pacific Software Engineering Conference (APSEC), 703-704, 2018 | 27 | 2018 |
On the significance of category prediction for code-comment synchronization Z Yang, JW Keung, X Yu, Y Xiao, Z Jin, J Zhang ACM Transactions on Software Engineering and Methodology 32 (2), 1-41, 2023 | 26 | 2023 |
Node-constrained traffic engineering: Theory and applications G Trimponias, Y Xiao, X Wu, H Xu, Y Geng IEEE/ACM Transactions on Networking 27 (4), 1344-1358, 2019 | 26 | 2019 |
The effectiveness of data augmentation in code readability classification Q Mi, Y Xiao, Z Cai, X Jia Information and software technology 129, 106378, 2021 | 24 | 2021 |
Self-checking deep neural networks in deployment. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) Y Xiao, I Beschastnikh, DS Rosenblum, C Sun, S Elbaum, Y Lin, JS Dong IEEE, 372ś384, 2021 | 18 | 2021 |
Hydrological big data prediction based on similarity search and improved BP neural network D Wan, Y Xiao, P Zhang, H Leung 2015 IEEE International Congress on Big Data, 343-350, 2015 | 18 | 2015 |
An inception architecture-based model for improving code readability classification Q Mi, J Keung, Y Xiao, S Mensah, X Mei Proceedings of the 22nd International Conference on Evaluation and …, 2018 | 17 | 2018 |
A survey on smart contract vulnerabilities: Data sources, detection and repair H Chu, P Zhang, H Dong, Y Xiao, S Ji, W Li Information and Software Technology, 107221, 2023 | 16 | 2023 |