| Software defect prediction via LSTM J Deng, L Lu, S Qiu IET software 14 (4), 443-450, 2020 | 59 | 2020 |
| Transfer convolutional neural network for cross-project defect prediction S Qiu, H Xu, J Deng, S Jiang, L Lu Applied Sciences 9 (13), 2660, 2019 | 37 | 2019 |
| An abstract syntax tree encoding method for cross-project defect prediction Z Cai, L Lu, S Qiu IEEE Access 7, 170844-170853, 2019 | 35 | 2019 |
| Joint feature representation learning and progressive distribution matching for cross-project defect prediction Q Zou, L Lu, Z Yang, X Gu, S Qiu Information and Software Technology 137, 106588, 2021 | 33 | 2021 |
| An investigation of imbalanced ensemble learning methods for cross-project defect prediction S Qiu, L Lu, S Jiang, Y Guo International Journal of Pattern Recognition and Artificial Intelligence 33 …, 2019 | 32 | 2019 |
| A suitable AST node granularity and multi-kernel transfer convolutional neural network for cross-project defect prediction J Deng, L Lu, S Qiu, Y Ou IEEE Access 8, 66647-66661, 2020 | 28 | 2020 |
| A decomposition-based constrained multi-objective evolutionary algorithm with a local infeasibility utilization mechanism for UAV path planning C Peng, S Qiu Applied Soft Computing 118, 108495, 2022 | 27 | 2022 |
| Multiple-components weights model for cross-project software defect prediction S Qiu, L Lu, S Jiang IET Software 12 (4), 345-355, 2018 | 26 | 2018 |
| Multi-label metric transfer learning jointly considering instance space and label space distribution divergence S Jiang, Y Xu, T Wang, H Yang, S Qiu, H Yu, H Song IEEE Access 7, 10362-10373, 2019 | 18 | 2019 |
| Cross-Project Defect Prediction via Transferable Deep Learning-Generated and Handcrafted Features. S Qiu, L Lu, Z Cai, S Jiang SEKE, 431-552, 2019 | 16 | 2019 |
| Joint distribution matching model for distribution–adaptation‐based cross‐project defect prediction S Qiu, L Lu, S Jiang IET software 13 (5), 393-402, 2019 | 14 | 2019 |
| Sentiment key frame extraction in user-generated micro-videos via low-rank and sparse representation X Gu, L Lu, S Qiu, Q Zou, Z Yang Neurocomputing 410, 441-453, 2020 | 12 | 2020 |
| Defect prediction via tree-based encoding with hybrid granularity for software sustainability S Qiu, H Huang, W Jiang, F Zhang, W Zhou IEEE Transactions on Sustainable Computing, 2023 | 9 | 2023 |
| Correlation feature and instance weights transfer learning for cross project software defect prediction Q Zou, L Lu, S Qiu, X Gu, Z Cai IET Software 15 (1), 55-74, 2021 | 9 | 2021 |
| Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation S Jiang, Y Xu, H Song, Q Wu, MK Ng, H Min, S Qiu Neurocomputing 321, 49-60, 2018 | 8 | 2018 |
| Cross-project clone consistent-defect prediction via transfer-learning method W Jiang, S Qiu, T Liang, F Zhang Information Sciences 635, 138-150, 2023 | 7 | 2023 |
| 基于物联网体系结构的智能家居系统设计 马乐， 燕炜， 姜思羽， 张可然， 邱少健 北京师范大学学报 (自然科学版), 458-461, 2013 | 4 | 2013 |
| Coordinated control strategy of EPS and TCS for four-wheel drive vehicle L Jiang, H Qiu, J Yang, S Huang, L Ma, S Qiu 2016 9th International Symposium on Computational Intelligence and Design …, 2016 | 3 | 2016 |
| BAFLineDP: Code Bilinear Attention Fusion Framework for Line-Level Defect Prediction S Qiu, H Huang, J Luo, Y Kuang, H Luo arXiv preprint arXiv:2402.07132, 2024 | 1 | 2024 |
| Trade filtering method for trend following strategy based on LSTM-extracted feature and machine learning J Liang, K Huang, S Qiu, H Lin, K Lian Journal of Intelligent & Fuzzy Systems 44 (4), 6131-6149, 2023 | 1 | 2023 |
Quanyi Zou （邹全义）South China University of Technology在 mail.scut.edu.cn 的电子邮件经过验证
