| Tackling class imbalance problem in software defect prediction through cluster-based over-sampling with filtering L Gong, S Jiang, L Jiang IEEE Access 7, 145725-145737, 2019 | 82 | 2019 |
| A novel class-imbalance learning approach for both within-project and cross-project defect prediction L Gong, S Jiang, L Bo, L Jiang, J Qian IEEE Transactions on Reliability 69 (1), 40-54, 2019 | 73 | 2019 |
| Empirical evaluation of the impact of class overlap on software defect prediction L Gong, S Jiang, R Wang, L Jiang 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 48 | 2019 |
| Research progress of software defect prediction 宫丽娜， 姜淑娟， 姜丽 Journal of Software 30 (10), 3090-3114, 2019 | 46 | 2019 |
| UTOPIC: Uncertainty‐aware Overlap Prediction Network for Partial Point Cloud Registration Z Chen, H Chen, L Gong, X Yan, J Wang, Y Guo, J Qin, M Wei Computer Graphics Forum 41 (7), 87-98, 2022 | 27 | 2022 |
| Togethernet: Bridging image restoration and object detection together via dynamic enhancement learning Y Wang, X Yan, K Zhang, L Gong, H Xie, FL Wang, M Wei Computer Graphics Forum 41 (7), 465-476, 2022 | 25 | 2022 |
| Revisiting the impact of dependency network metrics on software defect prediction L Gong, GK Rajbahadur, AE Hassan, S Jiang IEEE Transactions on Software Engineering 48 (12), 5030-5049, 2021 | 25 | 2021 |
| The impact of feature selection techniques on effort‐aware defect prediction: An empirical study F Li, W Lu, JW Keung, X Yu, L Gong, J Li IET Software 17 (2), 168-193, 2023 | 24 | 2023 |
| A comprehensive investigation of the impact of class overlap on software defect prediction L Gong, H Zhang, J Zhang, M Wei, Z Huang IEEE transactions on software engineering 49 (4), 2440-2458, 2022 | 23 | 2022 |
| Mobility-aware workflow offloading and scheduling strategy for mobile edge computing J Xu, X Li, X Liu, C Zhang, L Fan, L Gong, J Li Algorithms and Architectures for Parallel Processing: 19th International …, 2020 | 20 | 2020 |
| Unsupervised deep domain adaptation for heterogeneous defect prediction L Gong, S Jiang, Q Yu, L Jiang IEICE TRANSACTIONS on Information and Systems 102 (3), 537-549, 2019 | 19 | 2019 |
| What is the intended usage context of this model? An exploratory study of pre-trained models on various model repositories L Gong, J Zhang, M Wei, H Zhang, Z Huang ACM Transactions on Software Engineering and Methodology 32 (3), 1-57, 2023 | 17 | 2023 |
| An improved transfer adaptive boosting approach for mixed‐project defect prediction L Gong, S Jiang, L Jiang Journal of Software: Evolution and Process 31 (10), e2172, 2019 | 17 | 2019 |
| Predicting Software Quality by Optimized BP Network Based on PSO. K Li, J Kou, L Gong J. Comput. 6 (1), 122-129, 2011 | 17 | 2011 |
| Conditional domain adversarial adaptation for heterogeneous defect prediction L Gong, S Jiang, L Jiang IEEE Access 8, 150738-150749, 2020 | 14 | 2020 |
| Which process metrics are significantly important to change of defects in evolving projects: An empirical study L Jiang, S Jiang, L Gong, Y Dong, Q Yu IEEE Access 8, 93705-93722, 2020 | 12 | 2020 |
| Predicting Software Quality by Fuzzy Neural Network Based in Rough Set K LI, L Gong, J KOU Journal of Computational Information Systems 6 (5), 1439-1448, 2010 | 10 | 2010 |
| An extensive study of the effects of different deep learning models on code vulnerability detection in Python code R Wang, S Xu, X Ji, Y Tian, L Gong, K Wang Automated Software Engineering 31 (1), 15, 2024 | 9 | 2024 |
| An accurate identifier renaming prediction and suggestion approach J Zhang, J Luo, J Liang, L Gong, Z Huang ACM Transactions on Software Engineering and Methodology 32 (6), 1-51, 2023 | 9 | 2023 |
| BTLink: automatic link recovery between issues and commits based on pre-trained BERT model J Lan, L Gong, J Zhang, H Zhang Empirical Software Engineering 28 (4), 103, 2023 | 8 | 2023 |
Mingqiang WeiProfessor at Nanjing University of Aeronautics and AstronauticsEmail verificata su nuaa.edu.cn