何苯 - 中国科学院大学 - 计算机科学与技术学院

个人简介

招生专业 081203-计算机应用技术 081202-计算机软件与理论 085211-计算机技术招生方向信息检索，自然语言处理深度学习，智能信息处理金融大数据教育背景 2002-10--2007-07 英国格拉斯哥大学博士 (Ph. D.) 1997-09--2001-06 北京航空航天大学工学学士 (B. Eng.) 工作简历 2018-11~现在, 中国科学院大学, 教授 2010-08~2018-11,中国科学院大学, 副教授 2009-07~2010-07,加拿大约克大学, 博士后研究员 2007-08~2009-07,英国格拉斯哥大学, 科研助理教授课程矩阵在信息处理中的应用现代信息检索社会计算前沿问题导论信息检索导论社会计算文献阅读课现代信息检索专题讨论社会计算专题文献阅读课(限信息学院学生选修,全年计1学分)

研究领域

自然语言处理，信息检索，人工智能

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Cancan Jin, Ben He, Kai Hui, Le Sun: TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring. ACL (1) 2018: 1088-1097 Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu: NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP 2018: 4482-4491 Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun: A document-based neural relevance model for effective clinical decision support. BIBM 2017: 798-804 Xin Zhang, Ben He, Tiejian Luo: Training query filtering for semi-supervised learning to rank with pseudo labels. World Wide Web 19(5): 833-864 (2016) Qingli Ma, Ben He, Jungang Xu, Bin Wang: A Set-Based Training Query Classification Approach for Twitter Search. WAIM (1) 2016: 491-503 Hongbo Chen, Jungang Xu, Ben He: Automated Essay Scoring by Capturing Relative Writing Quality. Comput. J. 57(9): 1318-1330 (2014) Hongbo Chen, Ben He: Automated Essay Scoring by Maximizing Human-Machine Agreement. EMNLP 2013: 1741-1752 Sha Lu, Ben He, Jungang Xu: Hyper-geometric Model for Information Retrieval Revisited. AIRS 2013: 62-73 Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu: Clustering-based transduction for learning a ranking model with limited human labels. CIKM 2013: 1777-1782 Xin Zhang, Ben He, Tiejian Luo, Baobin Li: Query-biased learning to rank for real-time twitter search. CIKM 2012: 1915-1919 Xin Zhang, Ben He, Tiejian Luo: Transductive Learning for Real-Time Twitter Search. ICWSM 2012 Ben He, Jimmy Xiangji Huang, Xiaofeng Zhou: Modeling term proximity for probabilistic information retrieval models. Inf. Sci. 181(14): 3017-3031 (2011) Kai Hui, Ben He, Tiejian Luo, Bin Wang: A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval. ICTIR 2011: 318-322 Zheng Ye, Ben He, Xiangji Huang, Hongfei Lin: Revisiting Rocchio's Relevance Feedback Algorithm for Probabilistic Models. AIRS 2010: 151-161 Ben He, Iadh Ounis: Finding good feedback documents. CIKM 2009: 2011-2014 Rodrygo L. T. Santos, Ben He, Craig Macdonald, Iadh Ounis: Integrating Proximity to Subjective Sentences for Blog Opinion Retrieval. ECIR 2009: 325-336 Ben He, Iadh Ounis: Studying Query Expansion Effectiveness. ECIR 2009: 611-619 Ben He, Craig Macdonald, Jiyin He, Iadh Ounis: An effective statistical approach to blog post opinion retrieval. CIKM 2008: 1063-1072 Ben He, Craig Macdonald, Iadh Ounis: Retrieval sensitivity under training using different measures. SIGIR 2008: 67-74 Ben He, Iadh Ounis: On setting the hyper-parameters of term frequency normalization for information retrieval. ACM Trans. Inf. Syst. 25(3): 13 (2007) Ben He, Iadh Ounis: Parameter sensitivity in the probabilistic model for ad-hoc retrieval. CIKM 2007: 263-272 Ben He, Iadh Ounis: Query performance prediction. Inf. Syst. 31(7): 585-594 (2006) Ben He, Iadh Ounis: A study of the dirichlet priors for term frequency normalisation. SIGIR 2005: 465-471 Rachel Tsz-Wai Lo, Ben He, Iadh Ounis: Automatically Building a Stopword List for an Information Retrieval System. JDIM 3(1): 3-8 (2005) Ben He, Iadh Ounis: Inferring Query Performance Using Pre-retrieval Predictors.. SPIRE 2004: 43-54 Ben He, Iadh Ounis: A study of parameter tuning for term frequency normalization. CIKM 2003: 10-16