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

   

• 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

• 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)

   

• Xiaoyang Chen, Ben He, Hongyu Lin, Xianpei Han, Tianshu Wang, Boxi Cao, Le Sun, Yingfei Sun: Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering. ACL 2024 (Area Chair Award)

• Jian Luo, Xuanang Chen, Ben He, Le Sun: PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking. ACL 2024

• Ying Zhou, Ben He, Le Sun: Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors. ACL 2024

• Ning Bian, Xianpei Han, Hongyu Lin, Yaojie Lu, Ben He, Le Sun: Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models? ACL 2024

• Xinran Chen, Xuanang Chen, Ben He, Tengfei Wen, Le Sun: Analyze, Generate and Refine: Query Expansion with LLMs for Zero-Shot Open-Domain QA. Findings of ACL 2024

• Yanjiang Liu, Tianyun Zhong, Yaojie Lu, Hongyu Lin, Ben He, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun: XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification. Findings of ACL 2024

• Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun: PARADE: Passage Representation Aggregation for Document Reranking. ACM Trans. Inf. Syst. 42(2): 36:1-36:26 (2024)

• Yiran Wang, Xuanang Chen, Ben He, Le Sun: Contextual Interaction for Argument Post Quality Assessment. EMNLP 2023: 10420-10432

• Xinlin Peng, Ying Zhou, Ben He, Le Sun, Yingfei Sun: Hiding the Ghostwriters: An Adversarial Evaluation of AI-Generated Student Essay Detection. EMNLP 2023: 10406-10419 data

• Xuanang Chen, Ben He, Zheng Ye, Le Sun, Yingfei Sun: Towards Imperceptible Document Manipulations against Neural Ranking Models. ACL (Findings) 2023: 6648-6664

• Xiaoyang Chen, Yanjiang Liu, Ben He, Le Sun, Yingfei Sun: Understanding Differential Search Index for Text Retrieval. ACL (Findings) 2023: 10701-10717

• Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun: Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval. SIGIR 2023: 2209-2214

• Xuanang Chen, Ben He, Kai Hui, Le Sun, Yingfei Sun: Dealing with textual noise for robust and effective BERT re-ranking. Inf. Process. Manag. 60(1): 103135 (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

• 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 (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