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松, 林衍凯, 等. 知识表示学习研究进展
[J]. 计算机研究与发展, 2016, 53(2): 1-16. 
 LIU Zhi-yuan, SUN Mao-song, LIN Yan-kai, et al.(g
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�Pattern Analysis and Machine Intelligence, 2013, 35(8): 
1798-1828. 
[53] 刘知远, 孙茂
松, 林衍凯, 等. 知识表示学习研究进展
[J]. 计算机研究与发展, 2016, 53(2): 1-16. 
 LIU Zhi-yuan, SUN Mao-song, LIN Yan-kai, et al. 
Knowledge representation learning: a review[J]. Journal of 
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tec.5lulu.com/computer/detail/k0n1g5e1hj8i7f.html. 
 5lulu Technology Library. Cosine similarity[EB/OL]. 
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completion[C]//Proc of NIPS. Cambridge, MA: MIT Press, 
2013: 926-934.(g
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�Pacific-Asia Conf. Berlin: Springer, 2008. 
[84] COHEN W W, RICHMAN J. Learning to match and 
cluster large high-dimensi onal data sets for data 
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�Proc of the 6th SIAM Int Conf on Data Mining. 
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�www. aliyun.com/zixun/aggregation/13323.html. 
[131] 李涓子. 知识图谱: 大数据语义链接的基石 [EB/OL]. 
(2015-02-20). http://www.cipsc.org.cn/kg2/. 
 LI Juan-zi. Knowledge grap h: the foundation for big data 
semantic link[EB/OL]. (2015-02-20). http://www.cipsc. 
org. cn/kg2/. 
[132] ZENG D, LIU K, CHEN Y , et al. Distant supervision for 
relation extraction via piec ewise convolutional neural 
networks[C]//Proc of EMNLP. Stroudsburg, PA: ACL, 
2015. 
[133] 
WANG Z, LI J, WANG Z, et al. Cross-lingual knowledge 
linking across wiki knowledge bases[C]//Proc of the 2012 
Int Conf on World Wide Web. New York: ACM, 2012: 
459-468. 
 
щ  ࠠ  ඥ  ޣ 
 
徐增林(1980—)， 教授， 博士生导师， 中组部 “青
年千人计划”入选者，现
任电子科技大学大数据研
究中心数据挖掘与推理研
究所轮值所长。主要研究
兴趣为机器学习及其在社
会网络分析、互联网、计
算生物学、信息安全等方
面的应用。他在包括
IEEE 
TPAMI, IEEE TNN, NIPS, ICML, IJCAI, AAAI 等顶
级会议和刊物发表论文近30篇，引用近千次，发表
专著2部，书籍章节2篇。 
于2012年在多伦多召开的国际人工智能大会
(AAAI)上做教学报告。是JMLR，IEEE TPAMI等机
器学习与人工智能领域主要期刊的审稿人和香港教
育资助局的基金评审人；多次担任人工智能领域的
主要国际会议，如
AAAI/IJCAI等会议的程序委员会
成员；多次担任机器学习和大数据研究方面研讨会的
组织委员会主席。 
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