peipei li
peipei li
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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
Learning from concept drifting data streams with unlabeled data
X Wu, P Li, X Hu
Neurocomputing 92, 145-155, 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
Online feature selection for high-dimensional class-imbalanced data
P Zhou, X Hu, P Li, X Wu
Knowledge-Based Systems 136, 187-199, 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
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
Learning concept-drifting data streams with random ensemble decision trees
P Li, X Wu, X Hu, H Wang
Neurocomputing 166, 68-83, 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
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
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
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
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
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
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
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
OFS-Density: A novel online streaming feature selection method
P Zhou, X Hu, P Li, X Wu
Pattern Recognition 86, 48-61, 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
Three-layer concept drifting detection in text data streams
Y Zhang, G Chu, P Li, X Hu, X Wu
Neurocomputing 260, 393-403, 2017
Online streaming feature selection using adapted Neighborhood Rough Set
P Zhou, X Hu, P Li, X Wu
Information Sciences 481, 258-279, 2019
Concept drifting detection on noisy streaming data in random ensemble decision trees
P Li, X Hu, Q Liang, Y Gao
International Workshop on Machine Learning and Data Mining in Pattern …, 2009
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