合肥工业大学

  李培培 博士后, 博士（合肥工业大学）
  电子邮箱： peipeili_hfut@gmail.com
  主要研究方向：数据流分类、概念漂移检测方法、 短文本分类、半监督学习、集成学习
  科研经历：2008.4-2009.4在新加坡管理大学实习；2011.8 -2012. 12在微软亚洲研究院实习；
  主持科研项目：博士后基金“面向短文本数据流分类的关键问题研究”2014.3-2015.12
  代表性成果：
  [1] Peipei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu. Computing Term Similarity by Large Probabilistic isA Knowledge. Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, 2013: 1401-1410.
  [2] Peipei Li, Xindong Wu and Xuegang Hu. Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Transactions on Intelligent Systems and Technology, 2012, 3(2): Article 29.
  [3] Xindong Wu, Peipei Li, and Xuegang Hu. Learning from Concept Drifting Data Streams with Unlabeled Data. NeuroComputing, 2012, 92(1): 145-155.
  [4] Peipei Li, Xindong Wu, Qianhui Liang, Xuegang Hu, and Yuhong Zhang. Random Ensemble Decision Trees for Concept Drifting Data Streams. Proceedings of PAKDD, 2011, 313-325.
  [5] Peipei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, Yunjun Gao. A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Applied Artificial Intelligence, 2010, 24(7): 680-710.