| Deadline-constrained cost optimization approaches for workflow scheduling in clouds Q Wu, F Ishikawa, Q Zhu, Y Xia, J Wen IEEE Transactions on Parallel and Distributed Systems 28 (12), 3401-3412, 2017 | 179 | 2017 |
| Energy and migration cost-aware dynamic virtual machine consolidation in heterogeneous cloud datacenters Q Wu, F Ishikawa, Q Zhu, Y Xia IEEE transactions on Services Computing 12 (4), 550-563, 2016 | 128 | 2016 |
| A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors J Li, Q Zhu, Q Wu, Z Fan Information Sciences 565, 438-455, 2021 | 113 | 2021 |
| MOELS: Multiobjective evolutionary list scheduling for cloud workflows Q Wu, MC Zhou, Q Zhu, Y Xia, J Wen IEEE Transactions on Automation Science and Engineering 17 (1), 166-176, 2019 | 113 | 2019 |
| Transactional and QoS-aware dynamic service composition based on ant colony optimization Q Wu, Q Zhu Future Generation Computer Systems 29 (5), 1112-1119, 2013 | 106 | 2013 |
| A novel outlier cluster detection algorithm without top-n parameter J Huang, Q Zhu, L Yang, DD Cheng, Q Wu Knowledge-Based Systems 121, 32-40, 2017 | 94 | 2017 |
| A novel cluster validity index based on local cores D Cheng, Q Zhu, J Huang, Q Wu, L Yang IEEE transactions on neural networks and learning systems 30 (4), 985-999, 2018 | 91 | 2018 |
| Clustering with local density peaks-based minimum spanning tree D Cheng, Q Zhu, J Huang, Q Wu, L Yang IEEE Transactions on Knowledge and Data Engineering 33 (2), 374-387, 2019 | 76 | 2019 |
| Natural neighbor-based clustering algorithm with local representatives D Cheng, Q Zhu, J Huang, L Yang, Q Wu Knowledge-Based Systems 123, 238-253, 2017 | 71 | 2017 |
| QoS-aware multigranularity service composition: Modeling and optimization Q Wu, F Ishikawa, Q Zhu, DH Shin IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (11), 1565-1577, 2016 | 71 | 2016 |
| A hybrid probabilistic multiobjective evolutionary algorithm for commercial recommendation systems G Wei, Q Wu, M Zhou IEEE Transactions on Computational Social Systems 8 (3), 589-598, 2021 | 66 | 2021 |
| SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution J Li, Q Zhu, Q Wu, Z Zhang, Y Gong, Z He, F Zhu Knowledge-Based Systems 223, 107056, 2021 | 60 | 2021 |
| VCG auction-based dynamic pricing for multigranularity service composition Q Wu, MC Zhou, Q Zhu, Y Xia IEEE Transactions on Automation Science and Engineering 15 (2), 796-805, 2017 | 60 | 2017 |
| A correlation-driven optimal service selection approach for virtual enterprise establishment Q Wu, Q Zhu, M Zhou Journal of Intelligent Manufacturing 25, 1441-1453, 2014 | 56 | 2014 |
| A self-training method based on density peaks and an extended parameter-free local noise filter for k nearest neighbor J Li, Q Zhu, Q Wu Knowledge-Based Systems 184, 104895, 2019 | 40 | 2019 |
| A local cores-based hierarchical clustering algorithm for data sets with complex structures D Cheng, Q Zhu, J Huang, Q Wu, L Yang Neural Computing and Applications 31, 8051-8068, 2019 | 39 | 2019 |
| A novel data clustering algorithm using heuristic rules based on k-nearest neighbors chain J Lu, Q Zhu, Q Wu Engineering applications of artificial intelligence 72, 213-227, 2018 | 35 | 2018 |
| QCC: A novel clustering algorithm based on quasi-cluster centers J Huang, Q Zhu, L Yang, D Cheng, Q Wu Machine Learning 106, 337-357, 2017 | 34 | 2017 |
| An effective framework based on local cores for self-labeled semi-supervised classification J Li, Q Zhu, Q Wu, D Cheng Knowledge-Based Systems 197, 105804, 2020 | 31 | 2020 |
| A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors J Li, Q Zhu, Q Wu Applied Intelligence 50, 1527-1541, 2020 | 25 | 2020 |
