基本信息 General Info.

何苯  教授 博士生导师  计算机科学与技术学院
电子邮件: benhe@ucas.ac.cn
通信地址: 中国科学院大学雁栖湖校区学园二489
邮政编码: 101408

研究领域

自然语言处理,信息检索,人工智能

个人简介

何苯博士, 教授,博士生导师。2010年8月起,就职于中国科学院大学 计算机科学与技术学院。研究方向包括自然语言处理、信息检索、人工智能。

招生信息

研究方向:自然语言处理、信息检索、人工智能

招生专业
081203-计算机应用技术
081202-计算机软件与理论
085400-电子信息
招生方向
自然语言处理,信息检索
深度学习,智能信息处理
人工智能

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.)

工作经历

   
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
社会兼职
2020-03-30-今,Information Processing & Management, Associate Editor (副主编)
2018-12-31-今,中国科学院软件研究所, 兼职研究员

教授课程

现代信息检索
矩阵在信息处理中的应用
矩阵分析与应用
本科生毕业设计(计算机科学与技术)
文献阅读-软件工程专业 1班
文献阅读
社会计算前沿问题导论
信息检索导论
社会计算
现代信息检索专题讨论
文献阅读课
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)

专利与奖励

  • SIGIR 2021, Best short paper, 第二(通讯)作者
  • ECIR 2016, Test of Time Award, Honorable Mention,第四作者

主要论文发表

已在信息检索、自然语言处理等领域发表多篇论文。DBLP有一个论文清单,但有几篇是同名的作者。Google Scholar引用4000+次,H-index=31

  • 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. Accepted at ACL 2024

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

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

  • 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