李春平 - 清华大学

个人简介

李春平, 德国自然科学博士，主要从事人工智能、数据分析与数据挖掘方面的教学和科研工作。主讲人工智能导论（本科生）和数据仓库与数据挖掘（研究生）课程。先后承担了国家自然科学基金、国家863计划、国家科技支撑计划、国家实验室创新团队基金课题以及中、英NSFC-RS国际合作项目等，发表学术论文百余篇，出版英文著作一部。担任AAAI、IJCAI等国际学术会议程序委员以及学术期刊Expert Systems with Applications副主编。工作履历 1988年至1994年吉林大学计算机系助教、讲师 1995年至1999年德国达姆施塔特技术大学 (Technical University Darmstadt) 留学,获德国自然科学博士 2000年1月至2000年11月香港科技大学(HKUST)计算机系任职 Research Associate 2000年11月至2002年9月德国法兰克福TEMIS公司任职 Software Architect 2002年10月起清华大学软件学院副教授 2006年5月至2006年7月欧盟Erasmus Mundus项目资助，德国德累斯顿技术大学 (Technical University Dresden) Guest Lecturer 研究概况承担课题： 2002年至2004年：国家863计划项目“面向领域的数据分析和挖掘技术研究” 2003年至2005年: 国家863计划项目“MES为基础的数字油田数据仓库研发” 2006年至2007年：国家“十一五”科技支撑计划课题“应急平台体系关键技术研究” 2007年至2009年: 德国大众汽车研究院国际合作项目 Multimodal Interaction Techniques for In-Car HMI 2008年至2010年: 国家自然科学基金项目“软件缺陷和失效的预测技术研究” 2009年至2010年：中、英NSFC-RS国际合作项目Program Complexity for Software Defect Prediction 2009年至2010年：国家863计划项目“防止网络多媒体非授权散布的关键技术及系统研究” 2010年至2013年: 信息技术国家实验室创新团队基金项目“可信软件研究” 2009年至2013年：日本野村综研国际合作项目: WEB挖掘、社交网络挖掘等 2012年至2014年: 华为研究院合作项目: 移动环境下上下文感知推理关键技术研究 2013年至2016年: 国家自然科学基金重大集成项目: 可信嵌入式软件系统试验环境与示范应用 2014年至2016年: 中、英NSFC-RS国际合作项目Fast Video based Anomaly Detection on Rail Lines 2015年至2016年: 日本三菱国际合作项目Development of Image Identification Algorithms using Deep Learning Techniques 2016年至2017年：日本三菱国际合作项目Development of Program Synthesis Method for Data Transformation 2016年至2017年：德国西门子公司合作项目Key Technologies of Electrical Data Management and Application 2017年至2020年：国家自然科学基金项目：基于位置信息的数据融合与群体突发事件预测关键技术 2020年至2022年：北京301医院医疗合作项目：气道梗阻预警预测模型构建研究 2021年至2022年：杭州度言软件合作项目：现代人工智能技术在不良资产处置中的应用研究 2021年至2022年：艾登科技合作项目：医疗文本信息抽取技术

研究领域

人工智能，数据分析与数据挖掘, 机器学习与推理技术

近期论文

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Minghui Gong, Jingming Liu, Chunping Li, Wei Guo, Ruolin Wang, Zheng Chen, Early warning model for death of sepsis via length insensitive temporal convolutional network. Int. J. Medical & Biological Engineering & Computing 60, pages875–885 (2022) Bei Luo, Raymond Y. K. Lau, Chunping Li, Yain-Whar Si, A critical review of state-of-the-art chatbot designs and applications. Int. J. WIREs Data Mining Knowl. Discov. 12(1) (2022) Cheng Cheng, Chunping Li, Youfang Han, Yan Zhu, A semi-supervised deep learning image caption model based on Pseudo Label and N-gram. Int. J. Approximate Reasoning. 131: 93-107 (2021) Xiaobao Wu, Chunping Li, Yishu Miao，Discovering Topics in Long-tailed Corpora with Causal Intervention. ACL (Findings) 2021: 175-185 Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao， Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder. EMNLP 2020: 1772-1782 Jingming Liu, Minghui Gong, Wei Guo, Chunping Li, Hui Wang, Shuai Zhang, Christopher Nugent, Dose Regulation Model of Norepinephrine Based on LSTM Network and Clustering Analysis in Sepsis, International Journal of Computational Intelligence Systems Vol. 13(1), pp. 717–726 (2020) Chen Sun, Chunping Li, Yan Zhu: A Novel Convolutional Neural Network Based Localization System for Monocular Images， International Journal of Software Science and Computational Intelligence Vol.11(2): 38-50 (2019) Ming Tang, Jian Jin, Ying Liu, Chunping Li, Integrating Topic， Sentiment and Syntax for Modeling Online Product Reviews: A Topic Model Approach, ASME Journal of Computing and Information Science in Engineering Vol 19 (2019) Md Ileas Pramanik, Raymond Y. K. Lau, Wei T. Yue, Yunming Ye, Chunping Li: Big data analytics for security and criminal investigations. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 7(4) (2017) Shaoxu Song, Chunping Li, Xiaoquan Zhang: Turn Waste into Wealth: On Simultaneous Clustering and Cleaning over Dirty Data. SIGKDD 2015: 1115-1124 Wenping Zhang, Chunping Li, Yunming Ye, Wenjie Li, Eric W. T. Ngai:Dynamic Business Network Analysis for Correlated Stock Price Movement Prediction. IEEE Intelligent Systems 30(2): 26-33 (2015) Raymond Y. K. Lau, Chunping Li, Stephen S. Y. Liao: Social analytics: Learning fuzzy product ontologies for aspect-oriented sentiment analysis. Decision Support Systems 65: 80-94 (2014) Yi Cai, Raymond Y. K. Lau, Stephen S. Y. Liao, Chunping Li, Ho-fung Leung, Louis C. K. Ma: Object typicality for effective Web of Things recommendations. Decision Support Systems 63: 52-63 (2014) Wenping Zhang, Raymond Y. K. Lau, Chunping Li: Adaptive Big Data Analytics for Deceptive Review Detection in Online Social Media. ICIS 2014 Chunping Li, Ziniu Chen, Hao Du, Hui Wang, et al: Using Pattern Position Distribution for Software Failure Detection, International Journal of Computational Intelligence Systems (2013) Vol. 6, No. 2, 234-243 Liyan Zhang, Jie Xu, Chunping Li: A random-walk based recommendation algorithm considering item categories. Neurocomputing (2013)120: 391-396 Weishi Zhang, Guiguang Ding, Li Chen, Chunping Li, Chengbo Zhang: Generating virtual ratings from Chinese reviews to augment online recommendations. ACM TIST 4(1): 9 (2013) Tong Zhao, Chunping Li, Mengya Li, Social Recommendation Incorporating Topic Mining and Social Trust Analysis, In Proceedings of ACM CIKM 2013: 1643-1648 Tong Zhao, Naiwen Bian, Chunping Li, Mengya Li: Topic-Level Expert Modeling in Community Question Answering. SDM 2013: 776-784 Lili Yang, Chunping Li, Qiang Ding, Li Li: Discovering Correlated Entities from News Archives. WISE 2013: 174-187 Yishu Miao, Chunping Li, Hui Wang, Lu Zhang: Infinite Topic Modelling for Trend Tracking - Hierarchical Dirichlet Process Approaches with Wikipedia Semantic based Method. KDIR 2012, pages 35-44 Ying Liu, Hui Zhang, Chunping Li, Roger Jianxin Jiao: Workflow simulation for operational decision support using event graph through process mining. Decision Support Systems 52(3): 685-697 (2012) Yajie Miao, Chunping Li, Jie Tang, Lili Zhao. Identifying new categories in community question answering archives: a topic modeling approach. ACM CIKM: pages 1673-1676, 2010 Yajie Miao, Lili Zhao, Chunping Li, Jie Tang, Automatically Grouping Questions in Yahoo! Answers, IEEE/WIC/ACM International Conference on Web Intelligence, pages 350-357, Canada, 2010 Nan Li, Chunping Li, Zero-Sum Reward and Punishment Collaborative Filtering Recommendation Algorithm, IEEE/WIC/ACM International Conference on Web Intelligence, Italy, 2009 Song Gao, Yajie Miao, Liu Yang, Chunping Li: Topic-Based Computing Model for Web Page Popularity and Website Influence. Australasian Conference on Artificial Intelligence 2009: 210-219 Liyan Zhang, Kai Zhang and Chunping Li, A topical PageRank based algorithm for recommender systems. ACM SIGIR, pages 713-714, Singapore, 2008 Hongzhi Xu, Chunping Li. Combining Context Features by Canonical Belief Network for Chinese Part-of-Speech Tagging, Third International Joint Conference on Natural Language Processing (IJCNLP08). Hyderabad, India, 2008 Xufei Wang, Chunping Li. DBSC: A Dependency-Based Subspace Clustering Algorithm for High-dimensional Numerical Datasets, 20th Australian Joint Conference on Artificial Intelligence, LNAI 4830, pages 832-837, Queensland, Australia, 2007. Xueyuan Zhou, Chunping Li: Semi-supervised Classification Based on Smooth Graphs. DASFAA 2006: 757-766 Shaoxu Song, Chunping Li, Improved ROCK for Text Clustering using Asymmetric Proximity. 32nd International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM06), LNCS Vol.3831 pages 501-510, 2006. Chunping Li, Representing Process Semantics in the Situation Calculus, Lecture Notes in Artificial Intelligence, Vol.3641, pages 591–600, 2005 Chunping Li, A Formal Method toward Reasoning about Continuous Change, Lecture Notes in Artificial Intelligence, Vol.3339, pages 1174 – 1180, Springer, 2004