| Discovering cluster-based local outliers Z He, X Xu, S Deng Pattern recognition letters 24 (9-10), 1641-1650, 2003 | 1328 | 2003 |
| Web services composition: A decade’s overview QZ Sheng, X Qiao, AV Vasilakos, C Szabo, S Bourne, X Xu Information Sciences 280, 218-238, 2014 | 572 | 2014 |
| Squeezer: an efficient algorithm for clustering categorical data Z He, X Xu, S Deng Journal of Computer Science and Technology 17 (5), 611-624, 2002 | 301 | 2002 |
| Security issues and challenges for cyber physical system EK Wang, Y Ye, X Xu, SM Yiu, LCK Hui, KP Chow 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l …, 2010 | 277 | 2010 |
| FP-outlier: Frequent pattern based outlier detection Z He, X Xu, ZJ Huang, S Deng Computer Science and Information Systems 2 (1), 103-118, 2005 | 254 | 2005 |
| TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data X Chen, X Xu, JZ Huang, Y Ye IEEE Transactions on Knowledge and Data Engineering 25 (4), 932-944, 2011 | 220 | 2011 |
| An optimization model for outlier detection in categorical data Z He, S Deng, X Xu International conference on intelligent computing, 400-409, 2005 | 183 | 2005 |
| A feature group weighting method for subspace clustering of high-dimensional data X Chen, Y Ye, X Xu, JZ Huang Pattern Recognition 45 (1), 434-446, 2012 | 180 | 2012 |
| Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimisation algorithm J Lartigau, X Xu, L Nie, D Zhan International Journal of Production Research 53 (14), 4380-4404, 2015 | 178 | 2015 |
| A fast greedy algorithm for outlier mining Z He, S Deng, X Xu, JZ Huang Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia …, 2006 | 158 | 2006 |
| A cluster ensemble method for clustering categorical data Z He, X Xu, S Deng Information Fusion 6 (2), 143-151, 2005 | 141 | 2005 |
| Mining class outliers: concepts, algorithms and applications in CRM Z He, X Xu, JZ Huang, S Deng Expert Systems with applications 27 (4), 681-697, 2004 | 140 | 2004 |
| Low-rank tensor completion with total variation for visual data inpainting X Li, Y Ye, X Xu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 126 | 2017 |
| Enhancing cross-target stance detection with transferable semantic-emotion knowledge B Zhang, M Yang, X Li, Y Ye, X Xu, K Dai Proceedings of the 58th annual meeting of the association for computational …, 2020 | 111 | 2020 |
| From big data to big service X Xu, QZ Sheng, LJ Zhang, Y Fan, S Dustdar Computer 48 (07), 80-83, 2015 | 108 | 2015 |
| Tree2Vector: learning a vectorial representation for tree-structured data H Zhang, S Wang, X Xu, TWS Chow, QMJ Wu IEEE transactions on neural networks and learning systems 29 (11), 5304-5318, 2018 | 105 | 2018 |
| k-ANMI: A mutual information based clustering algorithm for categorical data Z He, X Xu, S Deng Information Fusion 9 (2), 223-233, 2008 | 98 | 2008 |
| Extended QFD and data-mining-based methods for supplier selection in mass customization M Ni, X Xu, S Deng International Journal of Computer Integrated Manufacturing 20 (2-3), 280-291, 2007 | 98 | 2007 |
| Mining action rules from scratch Z He, X Xu, S Deng, R Ma Expert Systems with Applications 29 (3), 691-699, 2005 | 95 | 2005 |
| Scalable algorithms for clustering large datasets with mixed type attributes Z He, X Xu, S Deng International Journal of Intelligent Systems 20 (10), 1077-1089, 2005 | 87 | 2005 |
