| Get another label? improving data quality and data mining using multiple, noisy labelers VS Sheng, F Provost, PG Ipeirotis Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 1151 | 2008 |
| Incremental support vector learning for ordinal regression B Gu, VS Sheng, KY Tay, W Romano, S Li IEEE Transactions on Neural networks and learning systems 26 (7), 1403-1416, 2014 | 695 | 2014 |
| A Robust Regularization Path Algorithm for -Support Vector Classification B Gu, VS Sheng IEEE Transactions on neural networks and learning systems 28 (5), 1241-1248, 2016 | 479 | 2016 |
| Incremental learning for ν-support vector regression B Gu, VS Sheng, Z Wang, D Ho, S Osman, S Li Neural networks 67, 140-150, 2015 | 425 | 2015 |
| Structural minimax probability machine B Gu, X Sun, VS Sheng IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1646-1656, 2016 | 340 | 2016 |
| Cost-sensitive learning and the class imbalance problem CX Ling, VS Sheng Encyclopedia of machine learning 2011, 231-235, 2008 | 316* | 2008 |
| Learning weighted naive Bayes with accurate ranking H Zhang, S Sheng Fourth IEEE International Conference on Data Mining (ICDM'04), 567-570, 2004 | 225 | 2004 |
| " Missing is useful": Missing values in cost-sensitive decision trees S Zhang, Z Qin, CX Ling, S Sheng IEEE transactions on knowledge and data engineering 17 (12), 1689-1693, 2005 | 219 | 2005 |
| A Comparative Study of SIFT and its Variants J Wu, Z Cui, VS Sheng, P Zhao, D Su, S Gong Measurement science review 13 (3), 122-131, 2013 | 179 | 2013 |
| Repeated labeling using multiple noisy labelers PG Ipeirotis, F Provost, VS Sheng, J Wang Data Mining and Knowledge Discovery 28 (2), 402-441, 2014 | 166 | 2014 |
| Test strategies for cost-sensitive decision trees CX Ling, VS Sheng, Q Yang IEEE Transactions on Knowledge and Data Engineering 18 (8), 1055-1067, 2006 | 153 | 2006 |
| Thresholding for making classifiers cost-sensitive VS Sheng, CX Ling AAAI 6, 476-481, 2006 | 143 | 2006 |
| An abnormal network flow feature sequence prediction approach for DDoS attacks detection in big data environment J Cheng, R Xu, X Tang, VS Sheng, C Cai Comput. Mater. Continua 55 (1), 95-119, 2018 | 99 | 2018 |
| Learning from crowdsourced labeled data: a survey J Zhang, X Wu, VS Sheng Artificial Intelligence Review 46 (4), 543-576, 2016 | 75 | 2016 |
| Feature value acquisition in testing: a sequential batch test algorithm VS Sheng, CX Ling Proceedings of the 23rd international conference on Machine learning, 809-816, 2006 | 72 | 2006 |
| A method for improving CNN-based image recognition using DCGAN W Fang, F Zhang, VS Sheng, Y Ding Comput. Mater. Continua 57 (1), 167-178, 2018 | 63 | 2018 |
| Bi-parameter space partition for cost-sensitive SVM B Gu, VS Sheng, S Li Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 58 | 2015 |
| Where to go next: A spatio-temporal gated network for next poi recommendation P Zhao, A Luo, Y Liu, F Zhuang, J Xu, Z Li, VS Sheng, X Zhou IEEE Transactions on Knowledge and Data Engineering, 2020 | 57 | 2020 |
| Active learning with imbalanced multiple noisy labeling J Zhang, X Wu, VS Shengs IEEE transactions on cybernetics 45 (5), 1095-1107, 2014 | 57 | 2014 |
| Graph Contextualized Self-Attention Network for Session-based Recommendation. C Xu, P Zhao, Y Liu, VS Sheng, J Xu, F Zhuang, J Fang, X Zhou IJCAI 19, 3940-3946, 2019 | 50 | 2019 |
Charles X. LingProfessor of Computer Science, University of Western OntarioVerified email at csd.uwo.ca
