计算机与信息学院

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教师材料

教师信息 个人照片
姓    名 李培培 性    别   女
出生年月 1982.01.31 最终学位 博士
毕业学校 合肥工业大学
从事专业 数据流分类、半监督学习 职    务
所属院系 计算机与信息学院
所属科室(研究所) 数据挖掘与智能计算“千人计划”研究团队(DMiC,HFUT Data Mining and Intelligent Computing Laboratory) 职     称 副研究员
联系方式
办公电话 13956043016
E-mail peipeili@hfut.edu.cn
通讯地址 安徽省合肥市屯溪路193号
邮  编 230009
简    历
  1、受教育经历
• 2008/09-2012/12,合肥工业大学,计算机应用专业,工学博士
• 2005/09-2008/06,合肥工业大学,软件与理论专业,工学硕士
• 2001/09-2005/06,合肥工业大学,计算机科学与技术专业,工学学士
2、研究工作经历
• 2013年1月-2015年7月,合肥工业大学软件工程博士后站,博士后
• 2011年8月-2012年12月,微软亚洲研究院,实习生
• 2008年4月-2009年4月,新加坡管理大学,Research Fellow
3、主要论著(历年来来已发表的与本项目有关的主要论著目录和获得学术奖励情况)
国际期刊论文:
[1] Xuegang Hu, Peng Zhou, Peipei Li, Jing Wang, and Xindong Wu. A Survey on Online Feature Selection with Streaming Features. Frontiers of Computer Science, DOI 10.1007/s11704-016-5489-3, 2016.
[2] Xuegang Hu, Jianhan Pan, Peipei Li, Huizong Li, Wei He and Yuhong Zhang. Multi-Bridge Transfer Learning. Knowledge-Based Systems. 97: 60-74, 2016.4.
[3] Jianhan Pan, Xuegang Hu , Peipei Li, Huizong Li, Wei He, Yuhong Zhang and Yaojin Lin. Domain Adaptation via Multi-Layer Transfer Learning. Neurocomputing. 190: 10-24, 2016.05.
[4] Peipei Li*, HaixunWang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, and Xindong Wu. A Large Probabilistic Semantic Network based Approach to Compute Term Similarity. IEEE Transactions on Knowledge and Data Engineering, 27(10): 2604-2617, 2015.
[5] Peipei Li, Xindong Wu, Xuegang Hu, and Hao Wang*. An Incremental Decision Tree for Mining Multi-label Data. Applied Artificial Intelligence, 29(10):992-1014, 2015.
[6] Peipei Li*, Xindong Wu, Xuegang Hu, and Hao Wang. Learning Concept-Drifting Data Streams with Random Ensemble Decision Trees. NeuroComputing, 166(6): 68-83, 2015.
[7] Yuhong Zhang*, Xuegang Hu, Peipei Li, Lei Li, Xindong Wu. Cross-Domain Sentiment Classification--Feature Divergence, Polarity Divergence or Both? Pattern Recognition Letters.(2015) pp. 44-50. DOI:10.1016/j.patrec.2015.07.006
[8] 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.
[9] Jianhan Pan, Xuegang Hu, Yuhong Zhang, Peipei Li, Yaojin Lin, Huizong Li, Wei He, Lei Li. Quadruple Transfer Learning: Exploiting both shared and non-shared concepts for text classification. Knowl.-Based Syst. 90: 199-210, 2015.
[10] Jing Wang*, Canyi Lu, Men Wang, Peipei Li, Shuicheng Yan, and Xuegang Hu. Robust Face Recognition via Adaptive Sparse Representation. IEEE Transactions on Cybernetics, 44(12): 2368-2378, 2014. (SCI检索号: WOS:000345629000011.EI检索号: 201448259168)
[11] 张靖*, 胡学钢, 李培培, 张玉红. 基于迭代Lasso的肿瘤分类信息基因选择方法研究. 模式识别与人工智能, 27(1): 49-59, 2014.
[12] Xindong Wu, Peipei Li*, and Xuegang Hu. Learning from Concept Drifting Data Streams with Unlabeled Data. NeuroComputing, 92(1): 145-155, 2012. (SCI检索号: UT WOS:000305659800017. EI检索号: 20122215070877)
[13] Peipei Li*, Xindong Wu and Xuegang Hu. Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Transactions on Intelligent Systemsand Technology, 3(2): 29:1-32,2012. (SCI检索号: WOS:000313763300011. EI检索号: 20121214867545)
[14] Peipei Li*, Xindong Wu, Xuegang Hu, Qianhui Liang and Yunjun Gao. A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Applied Artificial Intelligence, 24(7): 680-710, 2010. (SCI检索号: UT WOS:000305659800017. EI检索号: 20103213143246)
[15] Xuegang Hu, Peipei Li*, Xindong Wu, Gongqing Wu. A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. J. Comput. Sci. Technol. 22(5): 711-724, 2007. (SCI检索号: WOS: WOS:000250009300007.EI检索号: 20073910825563)
会议论文:
[16] Peipei Li*, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, and Xindong Wu. Concept based Short Text Stream Classification with Topic Drifting Detection. In: Proceedings of ICDM'16, 2016 (accepted to appear).
[17] Lu Liu, Jing Zhang, Peipei Li, and Xuegang Hu. A Label Correlation Based Weighting Feature Selection Approach for Multi-Label Data. In: Proceedings of WAIM’16, pp. 369–379, 2016. (EI检索号:20162702570702)
[18] Xugang Hu, Junhong He, Peipei Li*, Xindong Wu. Drifting Detection and Model Selection based Ensemble Classification for Data Streams with Unlabeled Data. In: Proceedings of AIST’16, 2016 (accepted).
[19] Jing Zhang, Xuegang Hu, Peipei Li, Wei He, Huizong Li, and YuhongZhang. A Hybrid Feature Selection Approach by Correlation-based Filters and SVM-RFE. In: Proceedings of ICPR'14, pp: 3684 - 3689, 2014. (EI检索号:20150100390593)
[20] Peipei Li*, Hunxun Wang, Hongsong Li, and Xindong Wu. Assessing Sparse Information Extraction using Semantic Contexts. In: Proceedings of CIKM’13, pp.1709-1714, 2013. (EI检索号: 20135017077773)
[21] Peipei Li*, Hunxun Wang, Kenny Q. Zhu, Zhongyuan Wang, and Xindong Wu. Computing Term Similarity by Large Probabilistic isA Knowledge. In: Proceedings of CIKM’13,pp. 1401-1410, 2013.( EI检索号:20135017077716)
[22] Peipei Li*, Xindong Wu, Qianhui Liang, Xuegang Hu, Yuhong Zhang. Random Ensemble Decision Trees for Concept Drifting Data Streams. In: Proceedings of PAKDD’11, May 24-27, pp. 313-325, Shenzhen China, 2011. (EI检索号: 20112314036404)
[23] Peipei Li*, Xindong Wu and Xuegang Hu. Learning from Concept Drifting Data Streams with Unlabeled Data. In: Proceedings of AAAI10-SA10, July 11-15, pp. 1945-1946, Atlanta, GA, United States, 2010. (EI检索号: 20104413339740) (EI Village: 1次)
[24] Peipei Li*, Xindong Wu and Xuegang Hu. Mining Recurring Concept Drifts with Limited Labeled Streaming Data. In: Proceeding of 2nd Asian Conference Machine Learning, Nov. 8-10, pp. 251-262, Tokyo, 2010. (EI检索号: 20131816305746) (EI village: 4次)
[25] Jiaying He*, PeipeiLi,Xuegang Hu, and Xindong Wu. A New Automatic Categorization Algorithm for Web Services. In: Proceedings of IEEE Conference on Granular Computing (GrC2010), Aug. 14-16, pp. 200-205, San Jose, CA, United States, 2010. (EI检索号: 20104413339357)
[26] Qun Zhu, Xuegang Hu, Yuhong Zhang, Peipei Li, Xindong Wu. A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. In: Proceedings of GrC 2010: 639-644, 2010. (EI检索号: 20104413339299)
[27] Haiping Wang, FeiXie, Xuegang Hu, Peipei Li, Xindong Wu. Pattern Matching with Flexible Wildcards and Recurring Characters. In: Proceedings of GrC 2010: 782-786, 2010. (EI检索号: 20104413339335)
[28] Juan Zhang, Xuegang Hu, Yuhong Zhang, Peipei Li. An Efficient Ensemble Method for Classifying Skewed Data Streams. In: Processing of ICIC (3) 2011: 144-151, 2011.(EI检索号: 20120314683908)
[29] Yan Li, Yuhong Zhang, Xuegang Hu, Peipei Li. A classification algorithm for noisy data streams. In: Proceedings of FSKD 2010: 2239-2244, 2010. (EI检索号: 20104813422800)
[30] Jiajia Feng*, FeiXie, Xuegang Hu, Peipei Li, Jun Cao, and Xindong Wu. Keyword Extraction based on Sequential Pattern Mining. In: Proceedings of ICIMCS’11, Aug. 5-7, pp. 34-38, Chengdu, China, 2011. (EI检索号: 20114614508130)
[31] Yuhong Zhang*, Caihua Mei, Xuegang Hu, and Peipei Li. A Weighted Algorithm of Inductive Transfer Learning Based on Maximum Entropy Model. In: Proceedings of the 7th International Conference on Fuzzy Systems and Knowledge Discovery, Aug. 10-12, pp. 2740-2745, Yantai, China, 2010. (EI检索号: 20114214432275)
[32] YongyongZhai*, Yanxiang Chen, Xuegang Hu, and Peipei Li, and Xindong Wu. Extracting Opinion Features in Sentiment Patterns. In: Proceedings of 2010 International Conference on Information, Networking and Automation (ICINA 2010),Oct. 17-19, pp.115-119, Kunming, China, 2010. (EI检索号: 2010521350489)
[33] Peipei Li*, Xindong Wu, and Xuegang Hu. Mining Recurring Concept Drifts with Limited Labeled Streaming Data. In: Proceeding of 2nd Asian Conference Machine Learning, Nov. 8-10, pp. 251-262, Tokyo, 2010. (EI检索号: 20131816305746)
[34] Peipei Li*, Xuegang Hu, Q.-H. Liang, and Y.-J. Gao. Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees. In: Proceedings of the 6th International Conference on Machine Learning and Data Mining, pp. 236-250, 2009. (EI检索号: 20094412408923)
[35] Peipei Li*, Qianhui Liang, Xindong Wu, and Xuegang Hu. Parameter Estimation in Semi-Random Decision Tree Ensembling on Streaming Data. In: Proceedings of PAKDD’09, pp. 376-388, 2009. (EI检索号: 20093012218199)
[36] Qianhui Liang, Peipei Li*, P. C.K. Hung, and Xindong Wu. Clustering Web Services for Automatic Categorization. In: Proceedings of International Conference on Services Computing, pp. 380-387, 2009. (EI检索号: 20100312642460)
[37] Peipei Li*, Xuegang Hu, and Xindong Wu. Mining Concept-drifting Data Streams with Multiple Semi-random Decision Trees. In: Proceedings of 4th International Conference on Advanced Data Mining and Applications, pp. 733-740, 2008. (EI检索号: 20093412264467)
[38] Xuegang Hu, Xiang Wei, Dexing Wang, Peipei Li. A Parallel Algorithm to Construct Concept Lattice. In: Proceedings of FSKD (2) 2007: 119-123, 2007. (EI检索号: 20082211281784)
国内期刊
[39] 胡学钢#, 王海平, 郭丹, 李培培*. 图算法求解带有限长空位和one-off约束的模式匹配问题.模式识别与人工智能, 29(5): 400-409, 2016.
[40] 胡学钢, 许 尧,李培培. 一种过滤式多标签特征选择算法. 南京大学学报(自然科学版), 51(4): 723-730, 2015.
[41] 许 尧,胡学钢,李培培. 一种基于组策略的过滤式特征选择算法. 计算机应用研究,05: 1322-1326, 2015.9.
[42] 胡学钢,马利伟,李培培. 一种基于Tri-training的数据流集成分类算法. 数据采集与处理, 2015 (已录用).
[43] 朱群, 张玉红*, 胡学钢, 李培培. 一种基于双层窗口的概念漂移数据流分类算法. 自动化学报, 37(9): 1077-1084, 2011. (EI检索号: 20114314458584)
[44] 梅灿华, 张玉红*, 胡学钢, 李培培. 一种基于最大熵模型的加权归纳迁移学习方法. 计算机研究与发展, 48(9): 1722-1728, 2011.

软著:
胡学钢、李培培、吴信东等. 数据流分类算法实验工具包软件 ETDSV1.0(登记号为2010SR062895)



研究方向
  本人的研究兴趣在于:数据流分类、概念漂移检测方法、不完全标记数据流的分类算法与模型、多标签数据流分类、半监督学习


承担课题:

• 主持人:李培培,第55批中国博士后科学基金面上资助二等资助“面向短文本数据流分类的关键问题研究”(No. 2014M551801)(2014.5-2015.5)
• 主持人:李培培,国家青年基金“多标记文本数据流分类方法研究”(No. 61503112) (2016.1-2018.12)
• 子课题负责人:李培培,重点研发计划项目课题三 “碎片化知识拓扑融合” 子课题(No. 2016YFB1000906) (2016.7-2020.12)
• 校级博士专项课题“多标记文本的数据流分类方法研究”(No. JZ2015HGBZ0461)(2015.110.1-2017.9.30)




参与课题:
[1] 2009.1-2011.12 安徽省自然科学基金“基于漂移特征发现的数据流中概念漂移问题研究及其应用”(No. 090412044) ,项目经费:5万
[2] 2010.1-2012.12 国家自然科学基金:“基于特征发现的数据流概念漂移问题研究”(No. 60975034) ,项目经费:32万
[3] 2013.1-2016.12 国家自然科学基金:“基于协同训练策略的不完全标记数据流分类问题研究”(No. 61273292) ,项目经费:80万
[4] 2014.1-2016.12教育部博士点博导基金:“基于特征扩展的Web 短文本数据流分类方法研究” (No.20130111110011) ,项目经费:12万
[5] 2010.10-2014.05安徽省科技攻关(科技强警):“毒品犯罪案件信息综合管理分析系统”(编号:1001130616),项目经费:50万
[6] 2013.1-2017.12 国家973计划“社交网络群体影响力及交互作用”(No.2013CB329604)
[7] [1] 2017.1-2020.12 国家自然科学基金:“面向多源高维数据流的在线特征选择与分类方法研究”(No. 61673152)
教学工作
  2015.7-至今,合肥工业大学, 计算机与信息学院,讲师、硕导
获奖情况
  奖励:
李培培, 半随机化多决策树挖掘数据流算法. 安徽省优秀硕士论文, 2009.12.

主要论著
  专著:
胡学钢、李培培、张玉红、吴信东. 数据流分类, 清华大学出版社, 603千字, ISBN 978-7-302-40599-3, 2015.