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研究员
何清
机器学习与数据挖掘
大数据挖掘与机器学习研究组
heqing@ict.ac.cn
简介

中国科学院计算技术研究所，中国科学院智能信息处理重点实验室研究员，博士生导师。1965年8月出生，于2000年获北京师范大学博士学位，兼任中国人工智能学会副秘书长，常务理事，机器学习专业委员会常务理事, 分布智能与知识工程专业委员会秘书长。中国电子学会云计算专家委员会委员。主要研究领域：机器学习与数据挖掘，基于云计算的大数据挖掘。主要学术贡献：提出了基于超曲面的覆盖学习算法；提出极小样本集抽样方法与相关理论；提出了基于进化规划的基于摄动的模糊聚类改进算法，解决了模糊聚类失真问题；证明了模糊集扩展原理在范畴论意义下的合理性；提出概念语义空间用于知识管理；提出一种新型信息熵用于分类；提出基于粒度的多层次决策方法；在国内外重要刊物和会议上发表近百篇学术论文，30多篇文章发表在SCI国际期刊,已被SCI收录27篇，被EI收录66篇。

在大数据挖掘方面，2008年底，何清带领他的中科院计算所机器学习与数据挖掘团队，受中国移动研究院委托，合作开发完成了基于云计算的并行数据挖掘平台，用于TB级实际数据的挖掘，实现了高性能、低成本的数据挖掘，通过这次创新，使我国获得了自主知识产权的基于云计算的数据挖掘技术。何清先后主持完成多个有关数据挖掘的国家自然科学基金项目和863项目，提出了一系列有效的数据挖掘算法和多个并行机器学习算法，并开发实现了四十多个并行机器学习算法。组织开发的多个数据挖掘软件获得了软件著作权，并实际应用到多个行业的数十家企业，为企业带来了可观的经济效益和社会效益。受大会邀请在第二届和第三届中国云计算大会上作了技术报告。

承担完成或参加完成的多项国家自然科学基金项目被评为优或特优。承担完成了两项863项目获得好评。

教育经历

  • 1997年9月至2000年7月北京师范大学数学系模糊数学与人工智能专业博士毕业，获博士学位

  • 1985年8月至1987年7月郑州大学数学系硕士研究生毕业

  • 1981年8月至1985年7月河北师范大学数学系本科毕业，获学士学位

科研工作经历

  • 2008年10月至今被中国科学院计算技术研究所聘为研究员

  • 2007 年6 月被中国科学院计算技术研究所聘为博士生导师

  • 2006 年5 月被中国科学院研究生院聘为教授

  • 2002 年8 月留中科院计算所工作，被聘任为副研究员，硕士生导师

  • 2000 年8 月至2002 年7 月到中科院智能信息处理重点实验室从事博士后研究工作

  • 1987年9月至1997 年8 月河北科技大学助教、讲师、副教授

主要学术任职

  • 中国人工智能学会常务理事，副秘书长

  • 中国人工智能学会机器学习专业委员会常务委员

  • 中国人工智能学会分布智能与知识工程专业委员会秘书长

  • 中国计算机学会模式识别与人工智能专委会委员

  • 中国电子学会云计算专家委员会委员

  • 中国通信学会大数据专家委员会委员

国际学术会议程序委员

  • The 13th IEEE International Conference on Data Mining, Dallas, Texas, US, 8-11 December 2013.

  • The 1st 2st3st International Conference on Cloud Computing, 2009, 2010, 2011.

  • The 8th International Conference on Dependable, Autonomic and Secure Computing (DASC-09) December 12-14, 2009, Chengdu, China

  • The Sixth International Symposium on Neural Networks，May 26-29, 2009, Wuhan, China

  • 2003, 2005, 2007 2008 and 2009 International Conference on Natural Language Processing and Knowledge Engineering

  • 2008 Multi-Conference on Advanced Intelligence October 18-22, 2008 Beijing, China

  • The 4th International Conference on Fuzzy Systems and Knowledge Discovery 24- 27 August 2007, Haikou

  • 2007 International Conference on Natural Language Processing and Knowledge Engineering

  • 2006 International Symposium on AI－50 Years' Achievements, Future Directions and Social Impacts (ISAI06)

  • 2005, the fourth International Conference on Active Media Technology (AMT06) was held in Brisbane, Australia in June 7-9

参与组织的国际会议

  • ICIIP 2004 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION PROCESSING

  • International Conference on Itelligent Information Tchnology(ICIIT-02) September 22-25, 2002, Beijing

国际刊物副主编

  • Springer出版的国际期刊International Journal of Machine Learning and Cybernetics (IJMLC)副主编

参与编辑的会议论文集与期刊专集

  • Intelligent information processing II  pp. 539  Year of Publication: 2004 ISBN:0-387-23151-X , Springer-Verlag  London, UK

  • 《计算机学报》2007.8数据挖掘与机器学习专集

国际刊物审稿人

  • IEEE Transactions on Knowledge and Data Engineering

  • IEEE Transactions on Systems, Man and cybernetics

  • International Journal of Mathematical and Computer Modeling

  • International Journal of Pattern Recognition and Artificial Intelligence

  • International Journal on Machine Learning and Cybernetics

  • Soft Computing

  • Neurocomputing

主要学术贡献：

  • 提出了基于超曲面的覆盖学习算法；

  • 提出极小样本集抽样方法与相关理论；

  • 提出了基于进化规划的基于摄动的模糊聚类改进算法，解决了模糊聚类失真问题；

  • 证明了模糊集扩展原理在范畴论意义下的合理性；

  • 提出概念语义空间用于知识管理；

  • 提出一种新型信息熵用于分类；

  • 提出基于粒度的多层次决策方法；

  • 组织开发了国内最早的基于Hadoop的并行数据挖掘等系统用于中国移动TB级实际数据挖掘，获得了软件著作权，并已将该系统推广到电信、环保、物联网、国家电网、信息安全等领域的大数据挖掘，为企业带来了可观的经济效益。

  • 发表论文：已在IEEETKDE、IEEETIT、CIKM2010、ICDM2010、SDM2010、AAAI2010、IJCAI10等国内外重要刊物和会议上发表录用近百篇学术论文，其中有30多篇在SCI国际期刊上发表；有66篇被EI收录。

  • 承担完成一项国家自然科学基金项目被评为优，承担完成了两项863项目获得好评，是一项973项目骨干。现正主持一项国家自然科学基金面上项目。

主要论著

近五年国际期刊论文

  1. Qing He, Tianfeng Shang, Fuzhen Zhuang andZhongzhi Shi. Parallel Extreme Learning Machine forRegression based on MapReduce, Neurocomputing 102(2013)52–58 (SCI\EI)

  2. Qing He, Changying Du, Qun Wang, FuzhenZhuang, Zhongzhi Shi. A Parallel Incremental Extreme SVM Classifier, Neurocomputing，74 (2011) 2532–2540 (SCI\EI )

  3. Qing He, Xiurong Zhao, Zhongzhi Shi. Minimal consistent subset for Hyper Surface Classification method. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE   Volume: 22   Issue: 1   Pages: 95-108, FEB 2008.(SCI、EI)

  4. Qing He, Weizhong Zhao; Zhongzhi Shi. CHSMST: A clustering algorithm based on hyper surface and minimum spanning tree, Soft Computing, v 15, n 6, p 1097-1103, June 2011(SCI\EI)

  5. Qing He, Qun Wang, Fuzhen Zhuang, Qing Tan, Zhongzhi Shi. Parallel CLARANS Clustering Based on MapReduce,Energy Procedia 13 (2011) 3269 – 3279（EI）

  6. Qing He, Weizhong Zhao, Zhongzhi Shi. CHSMST: a clustering algorithm based on hyper surfaceand minimum spanning tree, Soft Comput,v 15, n 6, p 1097-1103, June 2011(SCI\EI)

  7. Qing He, Xin Jin, Changying Du, Fuzhen Zhuang andZhongzhi Shi. Clustering in Extreme Learning MachineFeature Space, accepted by Neurocomputing, (SCI)

  8. Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi. Multi-view learning via probabilistic latent semantic analysis,Information Sciences,199 (2012) 20–30 (SCI)

  9. Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, and Zhongzhi Shi. Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, December 2010 (vol. 22 no. 12) ,pp. 1664-1678 (SCI\EI)

  10. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi and Hui Xiong. Mining Distinction and Commonality across Multiple Domains using Generative Model for Text Classification, IEEE Transactions on Knowledge and Data Engineering, VOL. 24, NO. 11, NOVEMBER 2012,2025-2039(SCI\EI )

  11. Guang-Quan Zhang, ZhengZheng, Jie Lu, Qing He. An Algorithm for Solving Rule-Sets Based Bilevel Decision Problems, COMPUTATIONAL INTELLIGENCE  Vol.27   No.2   pp.235-259, 2011 (SCI\EI)

  12. Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He and Zhongzhi Shi. A new solution algorithm for solving rule-sets based bilevel decision problems,CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE, Concurrency Computat.: Pract. Exper. (2012)Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/cpe.2833 (SCI)

  13. Shengmei Luo, Qing He, Lixia Liu, Xiang Ao, Ning Li, Fuzhen Zhuang. Parallel Web Mining System Based on Cloud Platform，ZTE Communication, 10(4), pp 45-53(EI)

  14. Shifei Ding, Yongping Zhang, Xiaofeng Lei, Xinzheng Xu, Xin Wang, Li Wang, Qing He. Research on a principal components decision algorithm based on information entropy, Journal of Information Science, Vol. 35, No. 1, 120-127 (2009) (SCI)

  15. Qing Tan, Qing He, Weizhong Zhao; Zhongzhi Shi; Lee, E.S.An improved FCMBP fuzzy clustering method based on evolutionary programming, Computers and Mathematics with Applications, v 61, n 4, p 1129-1144, February 2011(SCI\EI)

  16. Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi. Effective Semi-supervised Document Clustering via ActiveLearning with Instance-level Constraints,Knowledge and Information Systems(2012) 30:569–587 (SCI\EI)

  17. Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi. Exploiting Relevance, Coverage, and Novelty for Query-Focused Multi-Document Summarization, accepted by Knowledge-Based Systems(SCI Source)

  18. Zheng Zheng, Jie Lu, Guangquan Zhang, Qing He, Rule sets based bilevel decision model and algorithm, Expert Systems with Applications, 2009. Vol. 36, No. 1, 18-26(SCI)

  19. Zhiping Shi,Xi Liu, Qingyong Li, Qing He, Zhongzhi Shi, Extracting Discriminative Features for CBIR, MULTIMEDIA TOOLS AND APPLICATIONS, Volume 61, Number 2 (2012), 263-279 (SCI)

  20. Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi.Exploiting associations between word clusters and document classes for cross-domain text categorization, Statistical Analysis and Data Mining, v 4, n 1, p 100-114, February 2011(EI)

  21. FuZhen Zhuang, Ping Luo, Qing He, ZhongZhi Shi. Inductive Transfer Learning for Unlabeled Target-domain via Hybrid Regularization, Chinese Science Bulletin , 2009, 54: 2470―2478 (SCI)

  22. Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He and Zhongzhi Shi. A new solution algorithm for solving rule-sets based bilevel decision problems ,CONCURRENCY AND COMPUTATION: PRACTICE AND EXPERIENCE, Concurrency Computat.: Pract. Exper. (2012) Published online in Wiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/cpe.2833

  23. Qing He, Xin Jin, Changying Du, Fuzhen Zhuang and Zhongzhi Shi. Clustering in Extreme Learning Machine Feature Space, Neurocomputing

  24. Ning Li, Li Zeng, Qing He and Zhongzhi Shi.Parallel Implementation of Apriori Algorithm Based on MapReduce”, and it has been accepted for publication in the International Journal of Networked and Distributed Computing published by Atlantis Press, Paris Amsterdam

  25. Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi Exploiting Relevance, Coverage, and Novelty for Query-Focused Multi-Document Summarization，Accepted by Knowledge Based Systems

其他年份国际期刊论文

  1. He Q, Shi ZZ, Ren LA, E. S. Lee. A novel classification method based on hypersurface, MATHEMATICAL AND COMPUTER MODELLING, 2003(Vol.38 No.3-4),  pp.395-407 (SCI)

  2. He Q, Zhao XR, Shi ZZ. Classification based on dimension transposition for high dimension data, SOFT COMPUTING, 2007 (Vol.11 No.4),  pp.329-334 (SCI)

  3. He Q, Li HX, C.L.P. Chen, E.S. Lee. Extension principles and fuzzy set categories, COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2000 (Vol.39 No.1-2),  pp.b 45-53 (SCI\EI)

  4. He Q, Li HX, Shi ZZ, E.S.Lee. Fuzzy clustering method based on perturbation, COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2003(Vol.46 No.5-6)  pp. 929-946 (SCI\EI)

  5. Luo P, Lu K, Huang R, He Q, Shi ZZ. A heterogeneous computing system for data mining workflows in multi-agent environments, EXPERT SYSTEMS, 2006(Vol.23 No.5),  pp.258-272 (SCI\EI)

  6. Luo P, Lu K, Shi ZZ, He Q. Distributed data mining in grid computing environments, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS, 2007(Vol.23 No.1),  pp.84-91(SCI\EI)

  7. Luo P, Zhan GX, He Q, Shi ZZ, and Lu K, On Defining Partition Entropy by Inequalities. IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. 9, SEPTEMBER 2007 3233-3239(SCI\EI)

  8. Ding SF, Zhang YP, Lei XF, Xu XZ, Wang X, Wang L, He Q. Research on a principal components decision algorithm based on information entropy, JOURNAL OF INFORMATION SCIENCE,  2009(Vol.35 No.1),  pp. 120-127 (SCI)

  9. Shi ZP, He Q, Shi ZZ. An index and retrieval framework integrating perceptive features and semantics for multimedia databases, MULTIMEDIA TOOLS AND APPLICATIONS  2009(Vol.42 No.2),  pp. 207-231 (SCI\EI )

  10. Shi ZZ, He Q, Jia ZY and Li JY. Intelligence Chinese Document Semantic Indexing System, INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND DECISION MAKING，2003(Vol.2, No.3),  pp.407-424

  11. Shi ZZ, Huang YP, He Q, Xu LD, Liu, SH, Qin, LX, Jia ZY, Li, JY, Huang HJ,  Zhao L. MSMiner - a developing platform for OLAP, DECISION SUPPORT SYSTEMS, 2007 ( Vol.42   No.4),  pp.2016-2028 (SCI\EI)

近五年国际会议论文

  1. Tianfeng Shang, Qing He, Fuzhen Zhuang and Zhongzhi Shi. A New Similarity Measure Based on Preference Sequence for Collaborative Filtering. APWeb 2013

  2. Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi. Concept Learning for Cross-domain Text Classification: a General Probabilistic Framework, IJCAI13.

  3. Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang,Qing He, and Zhongzhi Shi. Embedding with Autoencoder Regularization, ECML/PKDD13

  4. Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, and Zhongzhi Shi. Shared Structure Learning for Multiple Tasks with Multiple Views, ECML/PKDD13

  5. Changying Du, Fuzhen Zhuang, Qing He and Zhongzhi Shi. Multi-Task Semi-Supervised Semantic Feature Learning for Classification, ICDM2012，pp. 191-200(EI)

  6. Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi. Triplex Transfer Learning: Exploiting both Shared and Distinct Concepts for Text Classification,WSDM’13, pp.425-434,February 4–8, 2013, Rome, Italy (EI).

  7. Fuzhen Zhuang, Qing He and Zhongzhi Shi. Effectively Constructing Reliable Data for Cross-domain Text Classification, IIP2012, I FIP AICT 385, pp. 16–27, 2012 (EI).

  8. Luo Wenjuan etc. Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification, The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), PAKDD 2012, pp. 392–404, 2012 (EI).

  9. Ning Li, Fuzhen Zhuang, Qing He and Zhongzhi Shi. PPLSA: PARALLEL PROBABILISTIC LATENT SEMANTIC ANALYSIS BASED ON MAPREDUCE, IIP2012, IFIP AICT 385, pp. 40–49, 2012 (EI).

  10. Ning Li, Li Zeng, Qing He and Zhongzhi Shi. Parallel Implementation of Apriori Algorithm Based on MapReduce, 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2012)，August 8-10, 2012，Campus Plaza Kyoto, Kyoto, Japan ,pp.191-200 (EI)

  11. Qing He, Yunlong Ma, Tianfeng Shang, Fuzhen Zhuang and Zhongzhi Shi. Outlier Detection Based on Extreme Learning Machine , ELM2012

  12. Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, and Zhongzhi Shi. Parallel Decision Tree with Application to Water Quality Data Analysis, The Ninth International Symposium on Neural Networks (ISNN 2012), Shenyang, China during July 11-14, 2012 ,ISNN 2012, Part II, LNCS 7368, pp. 628–637, 2012 (EI)

  13. Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi. Fast Time Series Classification Based on Infrequent Shapelets, ICMLA2012，Boca Raton, Florida, USA, December 12-15, 2012 (EI)

  14. Qing Tan, Qing He, and Zhongzhi Shi. Parallel Max-Min Ant System Using MapReduce, Y. Tan, Y. Shi, and Z. Ji (Eds.): The Third International Conference on Swarm Intelligence (ICSI 2012), June 17 to 20, 2012, Part I, LNCS 7331, pp. 182–189, 2012 (EI).

  15. Tianfeng Shang, Qing He, Fuzhen Zhuang and Zhongzhi Shi. A New Similarity Measure Based on Preference Sequence for Collaborative Filtering. APWeb 2013 (EI)

  16. Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi. TINAC: A Fast and Effective Web Video Topic Detection Framework, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'12), 29-31 May 2012, in Chongqing, China, pp.1264-1268 (EI)

  17. Xudong Ma, Ping Luo, FuzhenZhuang, Qing He, Zhongzhi Shi and ZhiyongShen. Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding, Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI 11，pp.1396-1401C（人工智能领域顶级国际会议)

  18. Qing He, Qun Wang, FuzhengZhuang, Qing Tan,Zhongzhi Shi. Parallel CLARANS Clustering Based on MapReduce，ICMLC 2011, pp. V1-236- V1-240

  19. Qing He, Yunlong Ma, Qun Wang, Fuzheng Zhuang, Zhongzhi Shi. Parallel Outlier Detection Using KD-Tree Based on MapReduce, IEEE CloudCom 2011.

  20. Weizhong Zhao, Huifang Ma, Qing He, Zhongzhi Shi: The improved non-negative Matrix Factorization algorithm for document clustering. FSKD 2011:1836-1839

  21. Qing Tan, Qing He, Zhongzhi Shi. Nonparametric Curve Extraction Based on Ant Colony System, Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), pp.599-604, July 10-15, 2010, Atlanta, USA. (EI，人工智能顶级国际会议)

  22. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi1, Hui Xiong. Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Classification, The 19th ACM International Conference on Information and Knowledge Management( CIKM’10), October 26-30, 2010, Toronto, Canada. (获得八篇最佳论文提名之一, 并获得Student Travel Awards)

  23. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, and Zhongzhi Shi. D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-Defined Classification, a regular paper at the IEEE International Conference on Data Mining (ICDM 2010) to be held in Sydney Australia, December 14-17, 2010 (EI)

  24. Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He. Yuhong Xiong. Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization, 2010 SIAM International Conference on Data Mining (SDM'2010), pp.13-24, April 19, 2010(EI,被大会推荐的十二篇最佳论文提名之一)

  25. Qing He, Wenjuan Luo, Fuzhen Zhuang, and Zhongzhi Shi. Local Bayesian based Rejection Methods for HSC Ensemble, 7th  International  Symposium  on  Neural  Networks  (ISNN  2010)，Lecture Notes in Computer Science ，Advances in Neural Networks - ISNN 2010, Volume 6063/2010, pp.404-412 (EI)

  26. Qing He, Qing Tan, Xiurong Zhao, Zhongzhi Shi. A Visual Cognitive Method Based on Hyper Surface for Data Understanding, LNCS, Advances in Cognitive Informatics, Du Zhang, Yingxu Wang, Springer. (EI)

  27. Qing He, Fuzhen Zhuang, Jincheng Li, and Zhongzhi Shi. Parallel Implementation of Classification Algorithms based on MapReduce, in:J. Yu et al. (Eds.): RSKT 2010, LNAI 6401, pp. 655–662, 2010.Springer-Verlag Berlin Heidelberg 2010 (EI)

  28. Qing He, Qing Tan, Xudong Ma,  Zhongzhi Shi. The High-activity Parallel Implementation of Data Preprocessing based on MapReduce, J. Yu et al. (Eds.): RSKT 2010, LNAI 6401, pp. 646–654, 2010. Springer-Verlag Berlin Heidelberg 2010 (EI)

  29. Qing He, Ning Li, Zhong-zhi Shi. A HSC-based sample selection method for support vector machine, Proceedings of the Ninth International Conference on Machine Learning and Cybernetics, pp.1751-1756,Qingdao, 11-14 July 2010 (EI)

  30. Tingting Li, Fuzhen Zhuang, Qing He. A noise handling method for HSC, 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery FSKD2010,pp.1484-1488. (EI)

  31. Qing He, Qun Wang, Chang-ying Du, Xu-dong Ma, Zhong-zhi Shi. A Parallel Hyper-Surface Classifier for High Dimensional Data, 2010 Third International Symposium on Knowledge Acquisition and Modeling (KAM 2010), pp.338-343.(EI)

  32. Qing He, Tingting Li, Fuzhen Zhuang, Zhongzhi Shi. Frequent Term based Peer-to-Peer Text Clustering, 2010 Third International Symposium on Knowledge Acquisition and Modeling (KAM 2010), pp.352-355.(EI)

  33. Wenjuan Luo, Fuzhen Zhuang, Qing He, and Zhongzhi Shi. Effectively Leveraging Entropy and Relevance for Summarization，The Asia Information Retrieval Societies Conference（AIRS2010）.

  34. Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi. Active Learning of Instance-level Constraints for Semi-supervised Document Clustering, 2009 IEEE/ACM/WIC International Conference on Web Intelligence (WI2009), 15-18 September, Milan, Italy, pp.264-268(EI)

  35. Qing He, Jincheng Li, and Zhongzhi Shi. Rule Extraction and Reduction for Hyper Surface Classification, in W. Yu, H. He, and N. Zhang (Eds.): ISNN 2009, Part II, LNCS 5552, pp. 88–98, 2009(EI)

  36. Qing He, Jincheng Li, Weizhong Zhao, Zhongzhi Shi. Unusual Pattern Detection Based on Hyper Surface and Minimum Spanning Tree, Proceedings of the 2009 IEEE International Conference on Information and Automation June 22 -25, 2009, pp. 1093-1098

  37. Qing He, Xu-Dong Ma, Fu-Zhen Zhuang, Zhong-zhi Shi.The effect of scale transformation for hyper surface classification method, ICMLC2009, pp.1856-1860(EI)

  38. Jincheng Li, Qing He, Zhongzhi Shi. Detecting Unusual Pattern with Labeled Data in Two-Stage, FSKD2009, pp.164-168(EI)

  39. Weizhong Zhao, Huifang Ma, Qing He. Parallel K-Means Clustering Based on MapReduce,The 1st International Conference on Cloud Computing, 2009, pp674-679. (EI)

  40. Fuzhen Zhuang, Qing He, Zhongzhi Shi. Multi-Agent based Automatic Evaluation System for Classification Algorithms, in Proceedings of the 2008 IEEE International Conference on Information and Automation June 20 -23, 2008, pp264-269. (EI)

  41. Fuzhen Zhuang, Qing He, Zhongzhi Shi. DATA FEATURE TRANSFORMATION FOR EFFICIENTLY IMPROVING PERFORMANCE OF HSC, ICMLC08, 423-428.(EI)

  42. Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He. Transfer Learning from Multiple Source Domains via Consensus Regularization, full paper in CIKM 2008 (EI)

  43. Qing He, Fuzhen Zhuang, Zhongzhi Shi. The Data Selection Criteria for HSC and SVM Algorithms, ICNC08,pp384-388 (EI)

  44. Qing He, Weizhong Zhao, Zhongzhi Shi. CHSMST：A CLUSTERING ALGORITHM BASED ON HYPER SURFACE AND MINIMUM SPANNING TREE, ICMLC08(EI)

  45. Qiuge Liu, Qing He, Zhongzhi Shi. Extreme Support Vector Machine Classify, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5012 LNAI, Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Proceedings, 2008, p 222-233(EI)

其他年份把部分国际会议论文

  1. Zhao XR, He Q, Shi ZZ，HyperSurface classifiers ensemble for high dimensional data sets，3rd International Symposium on Neural Networks (ISNN 2006) Chengdu, PEOPLES R CHINA，MAY 28-31, 2006，ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1, Lecture Notes in Computer Science Vol. 3971: Pages: 1299-1304 Part 1, 2006(SCI )

  2. He Q, Zhao XR, Zhang SL. Multi-modal services for web information collection based on multi-agent techniques,9th Pacific Rim International Workshop on Multi-Agents, Guilin, PEOPLES R CHINA, AUG 07-08, 2006, AGENT COMPUTING AND MULTI-AGENT SYSTEMS, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Vol. 4088 Pages: 129-137, 2006(SCI )

  3. Luo P, Lu K, He Q; A heterogeneous computing system for data mining workflows23rd British National Conference on Databases (BNCOD 23), Belfast, NORTH IRELAND, JUL 18-20, 2006 FLEXIBLE AND EFFICIENT INFORMATION HANDLING, LECTURE NOTES IN COMPUTER SCIENCE Vol. 4042 Pages: 177-189, 2006(SCI )

  4. Zheng Z, He Q, Shi ZZ. Granule sets based bilevel decision model,1st International Conference on Rough Sets and Knowledge Technology (RSKT 2006), Chongqing, PEOPLES R CHINA, JUL 24-26, 2006, ROUGH SETS AND KNOWLEDGE TECHNOLOGY, PROCEEDINGS, LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Vol. 4062 Pages: 530-537, 2006(SCI )

  5. Luo P, He Q, Huang R, Shi ZZ. Execution engine of meta-learning system for KDD in multi-agent environment, nternational Workshop on Autonomous Intelligent Systems - Agents and Data Mining (AIS-ADM 2005), St Petersburg, RUSSIA, JUN 06-08, 2005,AUTONOMOUS INTELLIGENT SYSTEMS: AGENTS AND DATA MINING, PROCEEDINGS, LECTURE NOTES IN COMPUTER SCIENCE Vol. 3505 Pages: 149-160, 2005(SCI )

近五年国内刊物论文

  1. 何清，赵卫中，史忠植. 分类超曲面算法复杂度研究, 计算机学报，2010,33(4)（EI）

  2. 庄福振, 罗平, 何清, 史忠植. 基于混合正则化的无标签领域的归纳迁移学习, 科学通报，2009 年　第 54 卷　第 11 期: 1618-1625（EI）

近五年国内会议大会报告

  1. 何清基于云计算的海量数据挖掘, 第二届中国云计算大会技术报告，2010年5月22日

  2. 何清物联网中的数据挖掘云服务，第三届中国云计算大会技术报告，2011年5月20日

  3. 何清. 大数据挖掘云服务，2012年云计算与国际服务外包大会报告，2012年6月19日，南京

  4. 何清. 云计算与大数据挖掘. 2012年云时代的IT服务创新（西安）论坛暨火炬IT服务创新联盟年会大会报告,2012年5月25日,西安

  5. 何清大数据挖掘云服务，2012年中国智能产业高峰论坛，杭州，2012年11月1日

  6. 何清. 云计算与大数据挖掘. 2013年中国国际服务外包大会云应用专题论坛特邀报告,2013年7月5日,杭州

近五年专利

  1. 庄福振、何清，一种采用决策树的数据分类方法和系统，中国, 11中华人民中华人民共和国国家知识产权局,CN201110143821.7 ，专利已公开，2012

  2. 敖翔、何清、庄福振. 一种基于MapReduce的分布式垂直交叉网络爬虫系统,申请专利，2012

近五年软件著作权

  1. *何清，吴新宇，庄福振，敖翔，尚田丰，马云龙，李宁，罗文娟，韩硕，金鑫，杜长营，董智，余文超，王群.Web数据挖掘云服务平台WMCS V1.0, 2013SR027808

  2. *何清、敖翔、庄福振、马云龙、尚田丰、吴新宇、罗文娟、董智、李宁、韩硕、王群、金鑫、杜长营、余文超，软件著作权. 基于云计算的Web挖掘系统》，中国, 2012/12/5

  3. 何清、马旭东、谭庆、庄福振、赵卫中、李金成、罗文娟、李婷婷、李宁、王群、杜长营，软件著作权.数据挖掘云服务平台[简称COMS]V1.0，登记号：2010SR060647, 中国, 2011/11/13

  4. *何清、曾立、庄福振、赵卫中、谭庆、马旭东、马慧芳、李金成、刘秋阁、史忠植，软件著作权.并行分布式数据挖掘软件系统[简称：PDMiner]V1.0，登记号：2010SR005800，获得时间：2010.02.01，中国,2007/11/6


研究方向

机器学习、数据挖掘、基于云计算的大数据挖掘