Peipei Li， Xindong Wu, Xuegang Hu，Hao Wang，An Incremental Decision Tree for Mining Multi-label Data:Applied Artificial Intelligence, 29(10):992-1014,2015

Peipei Li， Xindong Wu, Xuegang Hu,Hao Wang，Learning Concept-Drifting Data Streams with Random Ensemble Decision Trees:NeuroComputing, 166(6): 68-83,2015

Jing Wang， Meng Wang, Peipei Li, Luoqi Liu, Zhongqiu Zhao, Xuegang Hu,Xindong Wu，Online Feature Selection with Group Structure Analysis:IEEE Trans. Knowl. Data Eng. 27(11): 3029-3041,2015

Jing Wang， Canyi Lu, Men Wang, Peipei Li, Shuicheng Yan,Xuegang Hu，Robust Face Recognition via Adaptive Sparse Representation:IEEE Transactions on Cybernetics, 44(12): 2368-2378,2014

Peipei Li， Hunxun Wang, Kenny Q. Zhu, Zhongyuan Wang,Xindong Wu，Computing Term Similarity by Large Probabilistic isA Knowledge:In: Proceedings of 22nd ACM International Conference on Information and Knowledge Management (CIKM’13), pp. 1401-1410,2013

Peipei Li， Hunxun Wang, Hongsong Li,Xindong Wu，Assessing Sparse Information Extraction using Semantic Contexts:In: Proceedings of 22nd ACM International Conference on Information and Knowledge Management (CIKM’13), pp.1709-1714,2013

Peipei Li， Xindong Wu,Xuegang Hu，Mining Recurring Concept Drifts with Limited Labeled Streaming Data:ACM Transactions on Intelligent Systems and Technology, 3(2): 29:1-32,2012

Peipei Li， Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang，Random Ensemble Decision Trees for Concept Drifting Data Streams:In: Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’11), May 24-27, pp. 313-325,2011

Peipei Li， Xindong Wu,Xuegang Hu，Learning from Concept Drifting Data Streams with Unlabeled Data:In: Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI10-SA10), July 11-15, pp. 1945-1946,2010

Junlong Li， Peipei Li*, Xuegang Hu,Kui Yu，Learning common and label-specific features for multi-Label classification with correlation information:Pattern Recognition, 21: 108259,2022