Robust face recognition via adaptive sparse representation J Wang, C Lu, M Wang, P Li, S Yan, X Hu IEEE transactions on cybernetics 44 (12), 2368-2378, 2014 | 207 | 2014 |
Learning from concept drifting data streams with unlabeled data X Wu, P Li, X Hu Neurocomputing 92, 145-155, 2012 | 87 | 2012 |
Mining recurring concept drifts with limited labeled streaming data P Li, X Wu, X Hu Proceedings of 2nd Asian conference on machine learning, 241-252, 2010 | 84 | 2010 |
Online feature selection for high-dimensional class-imbalanced data P Zhou, X Hu, P Li, X Wu Knowledge-Based Systems 136, 187-199, 2017 | 76 | 2017 |
Computing term similarity by large probabilistic isa knowledge P Li, H Wang, KQ Zhu, Z Wang, X Wu Proceedings of the 22nd ACM international conference on Information …, 2013 | 60 | 2013 |
Online feature selection with group structure analysis J Wang, M Wang, P Li, L Liu, Z Zhao, X Hu, X Wu IEEE Transactions on Knowledge and Data Engineering 27 (11), 3029-3041, 2015 | 55 | 2015 |
Learning concept-drifting data streams with random ensemble decision trees P Li, X Wu, X Hu, H Wang Neurocomputing 166, 68-83, 2015 | 46 | 2015 |
Clustering web services for automatic categorization Q Liang, P Li, PCK Hung, X Wu 2009 IEEE International Conference on Services Computing, 380-387, 2009 | 44 | 2009 |
A double-window-based classification algorithm for concept drifting data streams Q Zhu, X Hu, Y Zhang, P Li, X Wu 2010 IEEE International Conference on Granular Computing, 639-644, 2010 | 30 | 2010 |
Cross-domain sentiment classification-feature divergence, polarity divergence or both? Y Zhang, X Hu, P Li, L Li, X Wu Pattern recognition letters 65, 44-50, 2015 | 29 | 2015 |
Keyword extraction based on sequential pattern mining J Feng, F Xie, X Hu, P Li, J Cao, X Wu proceedings of the third international conference on internet multimedia …, 2011 | 29 | 2011 |
A large probabilistic semantic network based approach to compute term similarity P Li, H Wang, KQ Zhu, Z Wang, X Hu, X Wu IEEE Transactions on Knowledge and Data Engineering 27 (10), 2604-2617, 2015 | 26 | 2015 |
A random decision tree ensemble for mining concept drifts from noisy data streams P Li, X Wu, X Hu, Q Liang, Y Gao Applied Artificial Intelligence 24 (7), 680-710, 2010 | 25 | 2010 |
Mining concept-drifting data streams with multiple semi-random decision trees P Li, X Hu, X Wu International Conference on Advanced Data Mining and Applications, 733-740, 2008 | 25 | 2008 |
A survey on online feature selection with streaming features X Hu, P Zhou, P Li, J Wang, X Wu Frontiers of Computer Science 12 (3), 479-493, 2018 | 24 | 2018 |
OFS-Density: A novel online streaming feature selection method P Zhou, X Hu, P Li, X Wu Pattern Recognition 86, 48-61, 2019 | 20 | 2019 |
A semi-random multiple decision-tree algorithm for mining data streams XG Hu, PP Li, XD Wu, GQ Wu Journal of Computer Science and Technology 22 (5), 711-724, 2007 | 20 | 2007 |
Three-layer concept drifting detection in text data streams Y Zhang, G Chu, P Li, X Hu, X Wu Neurocomputing 260, 393-403, 2017 | 19 | 2017 |
Online streaming feature selection using adapted Neighborhood Rough Set P Zhou, X Hu, P Li, X Wu Information Sciences 481, 258-279, 2019 | 17 | 2019 |
Domain adaptation via multi-layer transfer learning J Pan, X Hu, P Li, H Li, W He, Y Zhang, Y Lin Neurocomputing 190, 10-24, 2016 | 16 | 2016 |