| 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 | 262 | 2014 |
| Online feature selection for high-dimensional class-imbalanced data P Zhou, X Hu, P Li, X Wu Knowledge-Based Systems 136, 187-199, 2017 | 174 | 2017 |
| Learning from concept drifting data streams with unlabeled data X Wu, P Li, X Hu Neurocomputing 92, 145-155, 2012 | 122 | 2012 |
| Mining recurring concept drifts with limited labeled streaming data P Li, X Wu, X Hu ACM Transactions on Intelligent Systems and Technology (TIST) 3 (2), 1-32, 2012 | 110 | 2012 |
| 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 | 101 | 2015 |
| Online streaming feature selection using adapted neighborhood rough set P Zhou, X Hu, P Li, X Wu Information Sciences 481, 258-279, 2019 | 96 | 2019 |
| OFS-Density: A novel online streaming feature selection method P Zhou, X Hu, P Li, X Wu Pattern Recognition 86, 48-61, 2019 | 94 | 2019 |
| A survey on online feature selection with streaming features X Hu, P Zhou, P Li, J Wang, X Wu Frontiers of Computer Science 12, 479-493, 2018 | 82 | 2018 |
| 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 | 74 | 2013 |
| Feature interaction for streaming feature selection P Zhou, P Li, S Zhao, X Wu IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4691-4702, 2020 | 73 | 2020 |
| Learning concept-drifting data streams with random ensemble decision trees P Li, X Wu, X Hu, H Wang Neurocomputing 166, 68-83, 2015 | 71 | 2015 |
| Dissociable cognitive patterns related to depression and anxiety in multiple sclerosis VM Leavitt, R Brandstadter, M Fabian, I Katz Sand, S Klineova, S Krieger, ... Multiple Sclerosis Journal 26 (10), 1247-1255, 2020 | 65 | 2020 |
| Three-layer concept drifting detection in text data streams Y Zhang, G Chu, P Li, X Hu, X Wu Neurocomputing 260, 393-403, 2017 | 51 | 2017 |
| Clustering web services for automatic categorization Q Liang, P Li, PCK Hung, X Wu 2009 IEEE International Conference on Services Computing, 380-387, 2009 | 48 | 2009 |
| An effective confidence-based early classification of time series J Lv, X Hu, L Li, P Li IEEE Access 7, 96113-96124, 2019 | 44 | 2019 |
| 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 | 42 | 2010 |
| Learning from short text streams with topic drifts P Li, L He, H Wang, X Hu, Y Zhang, L Li, X Wu IEEE transactions on cybernetics 48 (9), 2697-2711, 2017 | 40 | 2017 |
| 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 | 35 | 2016 |
| 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 | 35 | 2015 |
| 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 | 35 | 2015 |
