何清

  • 余春燕
  • 发布于 2015-09-10
  • 4350
  • 何清
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    何清,男,1965年8月出生,中国科学院计算技术研究所研究员,博士生导师。中国计算机学会人工智能与模式识别专业委员会委员。中国人工智能学会副秘书长,常务理事,知识工程与分布智能专业委员会秘书长,机器学习专业委员会常务委员。中国电子学会云计算与大数据专家委员会委员。

      主要学习、工作经历如下:

      2008年10月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月中国科学院计算技术研究所副研究员,硕士生导师

      2000年8月-2002年8月 中国科学院智能信息处理重点实验室博士后

      1997年8月-2000年7月 北京师范大学 模糊数学与人工智能专业 博士毕业,获博士学位

      主要学术贡献

      1.提出了基于超曲面的覆盖学习算法;

      2.提出极小样本集抽样方法与相关理论;

      3.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;

      4.证明了模糊集扩展原理在范畴论意义下的合理性;

      5.提出概念语义空间用于知识管理;

      6.提出一种新型信息熵用于分类;

      7.提出基于粒度的多层次决策方法;

      8.2008年底组织开发了国内最早的基于云计算平台Hadoop的并行数据挖掘系统。

      国家科研项目

      1. 国家自然科学基金重点项目“WEB 搜索与挖掘的新理论与方法”,No. 60933004,2010.1-2113.12, 合作方负责人

      2. 国家自然科学基金面上项目“分布式计算环境下的并行数据挖掘算法与理论研究”,No. 60975039,2010.1-2012.12,负责人:何清

      3. 国家自然科学基金面上项目“领域适应性问题相关学习算法与理论研究”,No. 61175052,2012.1-2015.12,负责人:何清

      4. 国家“八六三”高技术研究发展计划项目“开放环境下海量web数据提取、集成、分析和管理系统平台与应用”所属课题“海量web数据内容管理、分析挖掘技术与大型示范应用” No.2012AA011003, 2012.1-2014.12

      培养指导学生情况

      何清获得2007年所长奖教金,他所指导的学生多人获得科学院和计算所奖励,学生毕业后就业情况很好。

      已毕业学生

      赵秀荣是2004级硕士研究生,于2007年获得计算机软件与理论专业硕士学位。在学期间,她发表SCI、EI收录论文5篇,获得中国科学院刘永龄奖学金(全院50人),2007年毕业后到国家外汇管理局在北京工作。

      刘秋阁是2005级硕士研究生,2008年获得计算机软件与理论专业硕士学位。在学期间,他在PAKDD08发表长文一篇(长文占录用文章的12%),并获得赴日本参会奖励(共10名),2008年毕业后到腾讯研究院在北京工作。

      赵卫中是2007级博士研究生,2010年获得计算机软件与理论专业博士学位。在学期间,他发表国外SCI期刊和计算机学报等EI收录论文6篇,获得2009年北纬通讯奖学金,2010年优秀毕业生称号,2010年毕业后去湘潭大学工作,2012年去美国做博士后工作。

      李金成是2007级硕士研究生,2010年获得计算机软件与理论方向硕士学位。他在学期间发表三篇论文被EI收录,获得2010年所长优秀奖,现在深圳证券所工作。

      庄福振是2006级硕博研究生 2011年获得计算机软件与理论专业博士学位。在学期间他在IEEETKDE,InformationScience,Chinese Science Bulletin, CIKM2010,SDM2010、ICDM2010等期刊和会议发表论文,2008年获得度夏培肃奖,2011年获得中国科学院院长奖学金优秀奖,2013年获得中国人工智能学会优秀博士论文奖。在学期间赴香港科技大学学习2个月,并获得国家留学基金资助前往明尼苏达大学学习半年。2011年7月留在计算所工作,2013年任副研究员。

      马旭东是2008级硕士研究生, 2011年获得计算机软件与理论专业硕士学位。在学期间,他获得2010年腾迅优秀奖,在2011年在人工智能顶级国际会议IJCAI2011上发表论文一篇,毕业后前往Google工作,现在美国Google总部工作。

      李婷婷是2009级硕士研究生, 2011年获得计算机软件与理论专业硕士学位。在学期间,她发表两篇EI收录论文,2011年毕业后到中国银行在北京工作。

      谭庆是2008级博士研究生, 2012年获得计算机软件与理论专业博士学位。在学期间,他在AAAI10和IJCMA等国际会议和期刊上发表论文4篇, 获得2010年北纬通信博士生奖,2012年2月毕业后到阿里云在北京工作。

      王 群是2009级硕士研究生,2012年获得计算机软件与理论专业硕士学位,发表EI收录论文2篇,2010年获得北纬通信硕士生奖,2012年毕业到人民网工作,现在北京高德公司工作。

      罗文娟是2008级计算机软件与理论专业硕博研究生, 她在SCI国际期刊IPM、KBS和AIRS2010、PAKDD2012等会议上发表论文4篇,2013年毕业后到人人网在北京工作。

      董智是2010级计算机软件与理论专业硕博连读研究生,已发表EI收录文章2篇,2013年毕业后到新华网,在北京工作。

      马云龙是计算机应用技术专业2010级硕士研究生,已发表EI收录文章1篇,2011年获得北纬通信硕士生奖,2013年毕业后到中国科学院信息工程研究所,现在北京人人网工作。

      李宁是2009级计算机软件与理论专业博士研究生,已在IJNDC,SNPD2012等期刊和会议发表EI收录的论文4篇,国内核心论文2篇,毕业后去中科院信息工程所,在北京工作。

      尚田丰是2010级计算机软件与理论专业博士研究生,已在SCI国际期刊NeuroComputing发表论文1篇,并已在APWeb13、IJCNN13上发表论文,2012年获得北纬通信博士生奖。现在新加坡管理大学做博士后。

      韩硕是2011级计算机软件与理论专业硕士研究生,在Physica A和PAKDD14上发表论文两篇,2013年获得北纬通讯奖学金。现在北京亚马逊公司工作。

      余文超是2011级计算机软件与理论专业硕士研究生,在ECML\PKDD13、NeuroComputing上发表录用论文3篇,2013年获得计算所所长优秀奖。 2014年7月获得硕士学位后去美国那卡罗莱纳大学读博士。

      杜长营是2009级计算机软件与理论专业硕博连读研究生,2011年转博。他已在NeuroComputing发表SCI收录论文, 并在ICDM12上发表长文一篇,获得2010年所长优秀奖,2015年7月毕业后到中科院软件所,在北京工作。

      金鑫是2011级计算机软件与理论专业博士研究生,已在SCI国际期刊NeuroComputing、AMC发表论文2篇,并在ECML\PKDD13发表论文(oral+poster),2013年获得所长优秀奖,2015年7月毕业获得博士学位后到华为工作。

      敖翔是2010级硕博连读研究生,2012年9月转博,在Information Sciences、WWW14、ICDE15等期刊和会议上发表论文,申请专利1项,2013年获得腾讯奖学金特等奖,获得2014年国家奖学金,2015年7月毕业后留中科院计算所工作。

      吴新宇是2012级计算机软件与理论硕士研究生,在SDM15发表论文一篇,2015年申请了专利两项,2013年获得了计算所技术创新大赛奖项,获得中国科学院计算技术研究所硕士所长奖学金 ,2015年7月毕业获得硕士学位后到IBM北京工作。

      程晓虎是2012级计算机软件与理论专业硕士研究生,IJCAI15、FSKD14发表论文两篇,获得中国科学院计算技术研究所斯伦贝谢硕士生奖学金,2015年7月毕业获得硕士学位后到腾讯公司,在北京工作 。

      现在学学生

      王浩成是2012级计算机软件与理论专业博士研究生,在Fuzzy Sets and Systems、SNPD2014、ELM2015上发表论文。

      周干斌是2013级计算机软件与理论专业直博研究生。

      闫肃是2013级计算机软件与理论专业硕士研究生。

      罗丹是2013级计算机软件与理论专业硕士研究生。

      何佳是2014级计算机软件与理论专业直博研究生

      黄明是2014级计算机软件与理论专业硕士研究生

      左罗是2014级计算机软件与理论专业硕士研究生

      曹逸轩是2015级计算机软件与理论专业直博研究生

      张钊是2015级计算机软件与理论专业直博研究生

      周英敏是2015级计算机软件与理论专业硕士研究生

      李宏伟是2015级计算机软件与理论专业硕士研究生

      

     

    研究方向:
    机器学习、数据挖掘、文本挖掘、基于云计算的分布式并行数据挖掘等人工智能领域

     

     

    获奖及荣誉:
    2006年获北京市科学技术奖,2007年获得所长奖教金。

     

    代表论著:

    国际期刊
    [1]Qing He, Haocheng Wang, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi. Parallel sampling from big data with uncertainty distribution, Fuzzy Sets and Systems 258 (2015) 117–133 (SCI)
    [2]Qing He, Xin Jin, Changying Du, Fuzhen Zhuang and Zhongzhi Shi. Clustering in extreme learning machine feature space. Neurocomputing 128 : 88-95 (2014). (SCI).
    [3]Qing He, Tianfeng Shang, Fuzhen Zhuang and Zhongzhi Shi. Parallel Extreme Learning Machine for Regression based on MapReduce, Neurocomputing 102(2013)52–58 (SCI\EI)
    [4]He, Qing; Zhao, Weizhong; Shi, Zhongzhi. 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, Changying Du, Qun Wang, FuzhenZhuang, Zhongzhi Shi. A Parallel Incremental Extreme SVM Classifier, Neurocomputing,74 (2011) 2532–2540 (SCI\EI )
    [6]He Q, Zhao XR, Shi ZZ. 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)
    [7]Qing He, Zhongzhi Shi,Li-an Ren, E.S. Lee. A Novel Classification Based on Hypersurface. International Journal of Mathematical and Computer Modeling 38(2003),395-407 (SCI)
    [8]Qing He, Hongxing Li, Zhongzhi Shi, E.S.Lee. On Fuzzy Clustering Method Based on Perturbation. Computers and Mathematics with Applications, v 46, n 5-6, September, 2003,  p 929-946 (SCI\EI)
    [9]Qing He, Hongxing Li, C.L.P. Chen, E.S. Lee. Extension Principles and Fuzzy Set Categories. International Journal of Computers and Mathematics with Applications 2000, 39: 45-53(SCI)
    [10]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. Vol: 27, No: 4,pages: 830-54 (SCI\EI)
    [11]Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi. QPLSA: Utilizing quad-tuples for aspect identification and rating,  Information Processing and Management 51 (2015) 25–41(SCI\EI)
    [12]Wenchao Yu, Fuzhen Zhuang, Qing He and Zhongzhi Shi. Learning Deep Representations via Extreme Learning Machine, Neurocomputing, Volume 149, Part A, 3 February 2015, Pages 308-315 (SCI\EI)
    [13]Xiang Ao; Ping Luo; Xudong Ma; Fuzhen Zhuang; Qing He; Zhongzhi Shi; Zhiyong Shen. Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding, Information Sciences, 257 (2014) 101–114. (SCI impact factor (2012): 3.643)
    [14]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong: Triplex transfer learning: exploiting both shared and distinct concepts for text classification, IEEE TRANSACTIONS ON CYBERNETICS, VOL. 44, NO. 7, 1191-1203, JULY 2014 (impact factor (2012): 3.236) (SCI\EI)
    [15]Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi, & Xiang Ao. Energy model for rumor propagation on social networks. Physica A: Statistical Mechanics and its Applications,394 (2014) 99–109 (SCI impact factor (2012): 1.676).
    [16]Shuo Han,Qing He,Zhongzhi Shi. Energy Model for Rumor Propagation on Social Networks. Physica A: Statistical Mechanics and its Applications,394 (2014) 99–109.
    [17]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi Exploiting relevance, coverage, and novelty for query-focused multi-document summarization,Knowledge-Based Systems. Volume 46, July 2013, Pages 33–42 . (SCI\EI)
    [18]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 )
    [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, George Karypis, Xia Ning, Qing He, Zhongzhi Shi. Multi-view learning via probabilistic latent semantic analysis, Information Sciences,199 (2012) 20–30(SCI\EI)
    [21]Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi. Effective Semi-supervised Document Clustering via Active Learning with Instance-level Constraints, Knowledge and Information Systems (2012) 30:569–587 (SCI\EI)
    [22]Tan, Qing; He, Qing; Zhao, Weizhong; Shi, Zhongzhi; 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)
    [23]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)
    [24]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)
    [25]Zheng, Z., Lu, J, Zhang G, He Q, Rule sets based bilevel decision model and algorithm, Expert Systems with Applications, 2009. Vol. 36, No. 1, 18-26(SCI)
    [26]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)
    [27]Zhuang F Z, Luo P, He Q, et al. Inductive transfer learning for unlabeled target-domain via hybrid regularization. Chinese Sci Bull, 2009, 54: 2470―2478 (SCI)
    [28]Zhiping Shi, Qing He, Zhongzhi Shi. An Index and Retrieval Framework Integrating Perceptive Features and Semantics for Multimedia Database. Multimedia Tools and Application(2009) 42:207–231 Springer (SCI)
    [29]Zheng, Z., Lu, J, Zhang G, He Q, Rule sets based bilevel decision model and algorithm, Expert Systems with Applications, 2009. Vol. 36, No. 1, 18-26(SCI)
    [30]Ping Luo, Guoxing Zhan, Qing He, Zhongzhi Shi, and Kevin Lu, On Defining Partition Entropy by Inequalities. IEEE TRANSACTIONS ON INFORMATION THEORY, v53, n 9, SEPTEMBER 2007, p 3233-3239.(SCI)
    [31]Ping Luo; Lu, Kevin; Shi, Zhongzhi; He, Qing. Distributed data mining in grid computing environments. Future Generation Computer Systems, v 23, n 1, Jan 1, 2007, p 84-91(SCI\EI)
    [32]Qing He, Xiurong Zhao, Zhongzhi Shi. Classification based on dimension transposition for high dimension data,International Journal Soft Computing 11(4),2007, pp: 329 - 334(SCI)
    [33]Zhongzhi Shi; Huang, Youping; He, Qing; Xu, Lida; Liu, Shaohui; Qin, Liangxi; Jia, Ziyan; Li, Jiayou; Huang, Huijing; Zhao, Lei. MSMiner-a developing platform for OLAP. Decision Support Systems, v 42, n 4, January, 2007, Decision Support Systems in Emerging Economies, pp. 2016-2028(SCI)
    [34]Luo, Ping; Lu, Kevin; Shi, Zhongzhi; He, Qing. Distributed data mining in grid computing environments, Future Generation Computer Systems, v 23, n 1, Jan 1, 2007, p 84-91
    [35]Luo, Ping; Lu, Kevin; Huang, Rui; He, Qing; Shi, Zhongzhi. A heterogeneous computing system for data mining workflows in multi-agent environments, Expert Systems, v 23, n 5, November, 2006, p 258-271(SCI\EI)
    [36]Shi, Zhongzhi; Huang, Youping; He, Qing; Xu, Lida; Liu, Shaohui; Qin, Liangxi; Jia, Ziyan; Li, Jiayou; Huang, Huijing; Zhao, Lei. MSMiner-a developing platform for OLAP, Decision Support Systems v 42,n 4,2007 p 2016-2028(SCI\EI)
    国际会议
    [37]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He. Online Frequent Episode Mining, ICDE 2015 : International Conference on Data Engineering (ICDE15), Seoul, Korea, April 13-17, 2015
    [38]Changying Du, Shandian Zhe, Fuzhen Zhuang, Alan Qi, Qing He, Zhongzhi Shi. Bayesian Maximum Margin Principal Component Analysis, Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15)
    [39]Xinyu Wu, Ping Luo, Qing He, Tianshu Feng. Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing, SDM15.
    [40]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi.. Discovering and learning sensational episodes of news events. The 23rd international conference on World Wide Web, WWW2014, April 7-11, Seoul, Korea.
    [41]Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi. Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews, IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China / December 14-17, 2014
    [42]Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo and Qing He. Multi-task Multi-view Learning for Heterogeneous Tasks, CIKM’14, November 03–07, 2014, Shanghai, China
    [43]Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi. Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML14/PKDD14), Nancy, France, September 15th to 19th, 2014.
    [44]Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He. Nonparametric Bayesian Multi-Task Large-margin Classification, 21st European Conference on Artificial intelligence (ECAI14), Prague, Czech, 18-22 Aug. 2014.
    [45]Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi. Balanced Seed Selection for Budgeted Influence Maximization in Social Networks, PAKDD 2014 : Pacific-Asia Conference on Knowledge Discovery and Data Mining , 2014-05-13, Tainan, Taiwan, China
    [46]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi.. Discovering and learning sensational episodes of news events. The 23rd international conference on World Wide Web, WWW2014, April 7-11, Seoul, Korea.
    [47]Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi. Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews, IEEE International Conference on Data Mining (ICDM 2014), Shenzhen, China / December 14-17, 2014
    [48]Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo and Qing He. Multi-task Multi-view Learning for Heterogeneous Tasks, CIKM’14, November 03–07, 2014, Shanghai, China
    [49]Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi. Balanced Seed Selection for Budgeted Influence Maximization in Social Networks, PAKDD 2014 : Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2014-05-13, Tainan, Taiwan, China
    [50]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi. Triplex Transfer Learning: Exploiting both Shared and Distinct Concepts for Text Classification, WSDM’13, February 4–8, 2013, Rome, Italy
    [51]Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi. Concept Learning for Cross-domain Text Classification: a General Probabilistic Framework, 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013). August 3-9, 2013, Beijing, China.
    [52]Tianfeng Shang, Qing He, Fuzhen Zhuang and Zhongzhi Shi. A New Similarity Measure Based on Preference Sequence for Collaborative Filtering. Web Technologies and Applications. 15th Asia-Pacific Web Conference, APWeb 2013,Sydney, NSW, Australia, 4-6 April 2013
    [53]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi. Extreme Learning Machine Combining Matrix Factorization for Collaborative Filtering. IEEE The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013.
    [54]Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, and Zhongzhi Shi. Shared Structure Learning for Multiple Tasks with Multiple Views, ECML/PKDD13
    [55]Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang,Qing He, and Zhongzhi Shi. Embedding with Autoencoder Regularization,  ECML/PKDD13
    [56]Changying Du, Fuzhen Zhuang, Qing He and Zhongzhi Shi. Multi-Task Semi-Supervised Semantic Feature Learning for Classification, ICDM2012,pp. 191-200
    [57]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.
    [58]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
    [59]Qing He, Yunlong Ma, Qun Wang, Fuzheng Zhuang, Zhongzhi Shi. Parallel Outlier Detection Using KD-Tree Based on MapReduce, IEEE CloudCom 2011.
    [60]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)
    [61]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, accepted as a regular paper at the IEEE International Conference on Data Mining (ICDM 2010) to be held in Sydney Australia, December 14-17,2010, pp.709-718, (EI )
    [62]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)
    [63]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. (人工智能顶级国际会议)
    [64]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)
    [65]Qiuge Liu, Qing He, Zhongzhi Shi. Extreme Support Vector Machine Classify, Lecture Notes in Computer Science, v 5012 LNAI, Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Proceedings, 2008, p 222-233(EI)
    [66]Luo, Ping; Lu, Kevin; He, Qing; Shi, Zhongzhi. A heterogeneous computing system for data mining workflows, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 4042 LNCS, Flexible and Efficient Information Handling - 23rd British National Conference on Databases, BNCOD 23, Proceedings, 2006, p 177-189
    [67]Zheng, Zheng; He, Qing; Shi, Zhongzhi. Granule sets based bilevel decision model, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 4062 LNAI, Rough Sets and Knowledge Technology - First International Conference, RSKT 2006, Proceedings, 2006, p 530-537
    [68]He, Qing; Zhao, Xiurong; Zhang, Sulan. Multi-modal services for web information collection based on multi-agent techniques, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 4088 LNAI, Agent Computing and Multi-Agent Systems: 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Proceedings, 2006, p 129-137
    [69]Zhao, Xiu-Rong; He, Qing; Shi, Zhong-Zhi. HyperSurface Classifiers ensemble for high dimensional data sets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 3971 LNCS, Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings, 2006, p 1299-1304
    [70]Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Shi. Execution Engine of Meta-learning System for KDD in Multi-agent Environment. Lecture Notes in Computer Science. Springer-Verlag, Volume 3505 / 2005, 149-160.
    [71]Qing He, Zhongzhi Shi, Lian Ren.The Classification Method Based on Hyper Surface,2002 International Joint Conference on Neural Networks,2002.5:1499-1503

     

     

     

    所属部门:
    智能信息处理重点实验室

     

    专家类别:
    正高

     

     

     

    其他备注:
    博导计算机软件与理论