| Posterior probability support vector machines for unbalanced data Q Tao, GW Wu, FY Wang, J Wang IEEE Transactions on Neural Networks 16 (6), 1561-1573, 2005 | 151 | 2005 |
| A novel scheme for domain-transfer problem in the context of sentiment analysis S Tan, G Wu, H Tang, X Cheng Proceedings of the sixteenth ACM conference on Conference on information and …, 2007 | 123 | 2007 |
| Recursive deep learning for sentiment analysis over social data C Li, B Xu, G Wu, S He, G Tian, H Hao 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014 | 57 | 2014 |
| Integrated analysis of multiple data sources reveals modular structure of biological networks H Lu, B Shi, G Wu, Y Zhang, X Zhu, Z Zhang, C Liu, Y Zhao, T Wu, J Wang, ... Biochemical and biophysical research communications 345 (1), 302-309, 2006 | 42 | 2006 |
| A general soft method for learning SVM classifiers with L1-norm penalty Q Tao, GW Wu, J Wang Pattern Recognition 41 (3), 939-948, 2008 | 41 | 2008 |
| Adapting centroid classifier for document categorization S Tan, Y Wang, G Wu Expert Systems with Applications 38 (8), 10264-10273, 2011 | 32 | 2011 |
| A generalized S–K algorithm for learning ν-SVM classifiers Q Tao, G Wu, J Wang Pattern Recognition Letters 25 (10), 1165-1171, 2004 | 32 | 2004 |
| A new maximum margin algorithm for one-class problems and its boosting implementation Q Tao, G Wu, J Wang Pattern Recognition 38 (7), 1071-1077, 2005 | 30 | 2005 |
| The strength of Nesterov’s extrapolation in the individual convergence of nonsmooth optimization W Tao, Z Pan, G Wu, Q Tao IEEE transactions on neural networks and learning systems 31 (7), 2557-2568, 2019 | 23 | 2019 |
| Primal averaging: A new gradient evaluation step to attain the optimal individual convergence W Tao, Z Pan, G Wu, Q Tao IEEE transactions on cybernetics 50 (2), 835-845, 2018 | 23 | 2018 |
| AdaSum: an adaptive model for summarization J Zhang, X Cheng, G Wu, H Xu Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 22 | 2008 |
| Stochastic coordinate descent methods for regularized smooth and nonsmooth losses Q Tao, K Kong, D Chu, G Wu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 20 | 2012 |
| The role of momentum parameters in the optimal convergence of adaptive Polyak's heavy-ball methods W Tao, S Long, G Wu, Q Tao arXiv preprint arXiv:2102.07314, 2021 | 19 | 2021 |
| Parallel recursive deep model for sentiment analysis C Li, B Xu, G Wu, S He, G Tian, Y Zhou Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 18 | 2015 |
| Stochastic learning via optimizing the variational inequalities Q Tao, QK Gao, DJ Chu, GW Wu IEEE transactions on neural networks and learning systems 25 (10), 1769-1778, 2014 | 17 | 2014 |
| Using unlabeled data to handle domain-transfer problem of semantic detection S Tan, Y Wang, G Wu, X Cheng Proceedings of the 2008 ACM symposium on Applied computing, 896-903, 2008 | 14 | 2008 |
| The theoretical analysis of FDA and applications Q Tao, G Wu, J Wang Pattern recognition 39 (6), 1199-1204, 2006 | 14 | 2006 |
| Momentum acceleration in the individual convergence of nonsmooth convex optimization with constraints W Tao, GW Wu, Q Tao IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1107-1118, 2020 | 13 | 2020 |
| A fast matching method based on semantic similarity for short texts J Xu, P Liu, G Wu, Z Sun, B Xu, H Hao Natural Language Processing and Chinese Computing: Second CCF Conference …, 2013 | 12 | 2013 |
| Learning linear PCA with convex semi-definite programming Q Tao, G Wu, J Wang Pattern Recognition 40 (10), 2633-2640, 2007 | 10 | 2007 |
