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 | 109 | 2019 |
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 | 73 | 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 | 65 | 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 | 52 | 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 | 41 | 2018 |
On the value of a prioritization scheme for resolving self-admitted technical debt S Mensah, J Keung, J Svajlenko, KE Bennin, Q Mi Journal of Systems and Software 135, 37-54, 2018 | 40 | 2018 |
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 | 37 | 2018 |
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 |
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 | 20 | 2018 |
An empirical analysis of reopened bugs based on open source projects Q Mi, J Keung Proceedings of the 20th international conference on evaluation and …, 2016 | 20 | 2016 |
Measuring the stylistic inconsistency in software projects using hierarchical agglomerative clustering Q Mi, J Keung, Y Yu Proceedings of the The 12th International Conference on Predictive Models …, 2016 | 15 | 2016 |
A novel vector-based dynamic path planning method in urban road network Z Cai, X Cui, X Su, Q Mi, L Guo, Z Ding IEEE Access 8, 9046-9060, 2019 | 11 | 2019 |
Bluej-uml: Learning object-oriented programming paradigm using interactive programming environment J Keung, Y Xiao, Q Mi, VCS Lee 2018 international symposium on educational technology (iset), 47-51, 2018 | 11 | 2018 |
Not all bug reopens are negative: A case study on eclipse bug reports Q Mi, J Keung, Y Huo, S Mensah Information and Software Technology 99, 93-97, 2018 | 9 | 2018 |
Towards using visual, semantic and structural features to improve code readability classification Q Mi, Y Hao, L Ou, W Ma Journal of Systems and Software 193, 111454, 2022 | 8 | 2022 |
Improving bug localization with an enhanced convolutional neural network. In 2017 24th Asia-Pacific Software Engineering Conference (APSEC) Y Xiao, J Keung, Q Mi, KE Bennin IEEE, 338ś347, 2017 | 7 | 2017 |
A multimodality-Contribution-Aware tripnet for histologic grading of hepatocellular carcinoma X Jia, Z Sun, Q Mi, Z Yang, D Yang IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 6 | 2021 |
A graph-based code representation method to improve code readability classification Q Mi, Y Zhan, H Weng, Q Bao, L Cui, W Ma Empirical Software Engineering 28 (4), 87, 2023 | 4 | 2023 |
DSC-MDE: Dual structural contexts for monocular depth estimation W Yan, L Dong, W Ma, Q Mi, H Zha Knowledge-Based Systems 263, 110308, 2023 | 4 | 2023 |
An unsupervised person re‐identification approach based on cross‐view distribution alignment X Jia, X Wang, Q Mi IET Image Processing 15 (11), 2693-2704, 2021 | 4 | 2021 |