Ben He, Professor @ School of Computer Science and Technology

Email: benhe at

Research Interests

Natural Language Processing, Information Retrieval


  • B.Eng, Department of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, 2001
  • Ph. D, Department of Computing Science, University of Glasgow, UK, 2007


Working Experience

  • 2007.8 - 2009.7, Research Assistant, Department of Computer Science, University of Glasgow, UK
  • 2009.7 - 2010.7, Research Fellow, School of Information Technology, York University, Canada
  • 2010.8 - 2018.11, Associate Professor, School of Computer and Control Engineering, University of Chinese Academy of Sciences
  • 2018.12 - Present, Full Professor, School of Computer Science and Technology, University of Chinese Academy of Sciences

Academic Services
  • PC Member of the Following Academic conferences:
    • Annual Meeting of the Association for Computational Linguistics (ACL)
    • ACM Special Interest Group on Information Retrieval (ACM SIGIR)
    • ACM International Conference on Information and Knowledge Management (ACM CIKM)
    • The European Conference on Information Retrieval (ECIR)
    • International Conference on Theory in Information Retrieval (ICTIR)
    • The IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (IEEE/WIC/ACM WI)
    • Asia Information Retrieval Societies Conference (AIRS)
  • Reviewer of the following Journals:
    • ACM Transactions on Information Systems (ACM TOIS)
    • Journal of the American Society for Information Science and Technology (JASIST)
    • Information Processing & Management (IPM)
    • NeuroComputing (NEUCOM)
    • Computational Intelligence (COIN)


Selected Publications

  • Xuanang Chen, Ben He, Zheng Ye, Le Sun, Yingfei Sun: Towards Imperceptible Document Manipulations against Neural Ranking Models. Accepted at ACL Findings 2023

  • Xiaoyang Chen, Yanjiang Liu, Ben He, Le Sun, Yingfei Sun: Understanding Differential Search Index for Text Retrieval. Accepted at ACL Findings 2023

  • Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, LeSun: Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval. Accepted at SIGIR 2023

  • Xuanang Chen, Jian Luo, Ben He, Le Sun, Yingfei Sun: Towards Robust Dense Retrieval via Local Ranking Alignment. IJCAI 2022: 1980-1986

  • Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun: Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective. SIGIR 2022: 916-926.

  • Xuanang Chen, Ben He, Kai Hui, Yiran Wang, Le Sun, Yingfei Sun: Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval. SIGIR 2021: 1617-1621 (Best short paper)

  • Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates: BERT-QE: Contextualized Query Expansion for Document Re-ranking. EMNLP (Findings) 2020: 4718-4728

  • 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 (CCF-B)

  • 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 (CCF-B)

  • 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 (CCF-B)

  • 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