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姓名:
姓 名:  杨征路
性 别:  
所属部门:  计算机科学与信息安全系
行政职务:  所长
职 称:  教授
学 历:  博士
所学专业:  计算机科学与信息安全系大数据技术研究所
办公电话:  85358477
电子邮件:  yangzl@nankai.edu.cn
研究方向:  人工智能,数据挖掘,信息检索
个人简介:  分别于清华大学和东京大学获学士学位和博士学位。2008年至2014年任东京大学生产技术研究所特任教员(历任助理教授、副教授)。2014年4月起任南开大学教授,大数据研究所所长,入选天津青年千人计划和南开大学百人计划。研究方向为人工智能,大数据挖掘,数据库系统和信息检索。具体研究内容包括时空数据挖掘,序列模式挖掘,问答系统,相似短语查找,推荐系统等。
 
 
 
科研项目、成果、获奖、专利等情况:  主持/参与项目:
 1. 大数据与试验设计中的统计方法与计算, 国家自然科学基金重点项目, 2015.1-2019.12, 子课题负责人
 2. 基于短文本大数据的关联分析和挖掘, 国家自然科学基金, 2017.1-2019.12, 负责人
 3. Design a Motor Imagery BCI System based on the fMRI and TMS Data, 国家自然科学基金,
  2017.1-2018.12, 负责人
 4. 大规模知识库构建技术及应用, 中央高校基本科研基金, 2014.6-2016.5, 负责人
 5. 马克思主义中国化研究成果英译术语库, 中国翻译研究院重大项目, 2016.1-2017.7, 参与人。
 
 Editorial Board:
  International Journal of Social Network Mining (IJSNM)
 
 Program Committee/Reviewer:
  ACM Transaction of Information Systems (TOIS)
  IEEE Transaction of Data Engineering (TKDE)
  VLDBJ, WWWJ, DKE, Computational Intelligence
  SIGMOD, VLDB, ICDE, SIGKDD, WWW, EDBT, ICDM, Dexa, DASFFA,
  PAKDD, MDM, CoopIS, COMAD, APWeb/WAIM, SAC, ADC
 
 Tutorial Speaker:
  Text Similarity Search within Homogenous and Heterogenous Document Collections,
  Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2017
 
 
撰写论文、专著、教材等:  代表论文:
 [1] Hang Li, Haozheng Wang, and Zhenglu Yang. Effective Representing Information Network by Variational Autoencoder. In Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF A)
 [2] Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, and Jiawan Zhang. Automatic Generation of Grounded Visual Questions. In Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF A)
 [3] Jiahui Guo, Bin Yue, Guandong Xu, Zhenglu Yang, Jin-Mao Wei. An Enhanced Convolutional Neural Network Model for Answer Selection. In Proc. of International Conference on World Wide Web (WWW), pp. 789-790, 2017. (CCF A)
 [4] Bin Yue, Min Gui, Jiahui Guo, Jin-Mao Wei, Zhenglu Yang, Shaodi You. An Effective Framework for Question Answering over Freebase via Reconstructing Natural Sequences. In Proc. of International Conference on World Wide Web (WWW), pp. 865-866, 2017. (CCF A)
 [5] Hang Li, Haozheng Wang, Zhenglu Yang, Jin-Mao Wei, Masato Odagaki. Effective Strategies on Representing Information Networks. In Proc. of International Conference on World Wide Web (WWW), pp. 813-814, 2017. (CCF A)
 [6] Jun Wang, Jin-Mao Wei, Zhenglu Yang, Shu-Qin Wang. Feature Selection by Maximizing Independent Classification Information. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 29, No. 4, pp. 828-841, Apr. 2017. (CCF A)
 [7] Yanhui Gu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu, Jinmao Wei, and Xingtian Shi. A Fast Approach for Semantic Similar Short Texts Retrieval. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL), pp. 89-94, 2016. (CCF A)
 [8] Jun Wang, Jinmao Wei, and Zhenglu Yang. Supervised Feature Selection by Preserving Class Correlation. In Proc. of International Conference on Information and Knowledge Management (CIKM), pp. 1613-1622, 2016. (CCF B)
 [9] Yanhui Gu, Zhenglu Yang, Guandong Xu, Miyuki Nakano, Masashi Toyoda, and Masaru Kitsuregawa. Exploration on efficient similar sentences extraction. WWW Journal, 17(4): 595-626, 2014. (CCF B)
 [10] Zhenglu Yang and Masaru Kitsuregawa. Efficient Searching Top-k Semantic Similar Words. In Proc. of International Joint Conference on Artificial Intelligence (IJCAI), pp. 2373-2378, 2011. (CCF A)
 [11] Zhenglu Yang, Jianjun Yu, and Masaru Kitsuregawa. Fast Algorithms for Top-k Approximate String Matching. In Proc. of AAAI Conference on Artificial Intelligence (AAAI), pp.1467-1473, 2010. (CCF A)
 [12] Yulan Yan, Naoaki Okazaki, Yutaka Matsuo, Zhenglu Yang, and Mitsuru Ishizuka. Unsupervised Relation Extraction by Mining Wikipedia Texts with support from Web Corpus. In Proc. of Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1021-1029, 2009. (CCF A)
 [13] Zhenglu Yang, Lin Li, and Masaru Kitsuregawa. Efficient Querying Relaxed Dominant Relationship between Product Items based on Rank Aggregation. In Proc. of AAAI Conference on Artificial Intelligence (AAAI), pp. 1261-1266, 2008. (CCF A)
 [14] Lin Li, Zhenglu Yang, Ling Liu, and Masaru Kitsuregawa. Query-URL Bipartite based Approach to Personalized Query Recommendation. In Proc. of AAAI Conference on Artificial Intelligence (AAAI), pp. 1189-1194, 2008. (CCF A)
 [15] Zhenglu Yang, Lin Li, Botao Wang, and Masaru Kitsuregawa. Towards Efficient Dominant Relationship Exploration of the Product Items on the Web. In Proc. of AAAI Conference on Artificial Intelligence (AAAI), pp. 1483-1488, 2007. (CCF A)
 
讲授课程:  
WEB大数据挖掘, 南开大学 (2015年秋季,2016年秋季)
大数据计算及应用, 南开大学 (2017年春季)
数据挖掘与应用, 南开大学 (2017年春季)
Data Engineering, The University of Tokyo (2010年春季,2012年春季)
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