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ORCIDHui Fang 0001
Person information
- affiliation: University of Delaware, USA
Other persons with the same name
- Hui Fang — disambiguation page
- Hui Fang 0002
![[0000-0001-9788-6634]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9788-6634")
— Shanghai University of Finance and Economics, China (and 1 more) - Hui Fang 0003 — Loughborough University, Department of Computer Science, UK (and 6 more)
- Hui Fang 0004 — University of Illinois at Urbana-Champaign, USA
- Hui Fang 0006 — Nanjing University, China
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2020 – today
- 2024
[c105]Dayu Yang, Fumian Chen, Hui Fang:
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems. SIGIR 2024: 2286-2290- [i6]Dayu Yang, Fumian Chen, Hui Fang:
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems. CoRR abs/2404.11773 (2024) - [i5]Fumian Chen, Hui Fang:
Learn to be Fair without Labels: a Distribution-based Learning Framework for Fair Ranking. CoRR abs/2405.17798 (2024) - [i4]Fumian Chen, Dayu Yang, Hui Fang:
Toward Automatic Group Membership Annotation for Group Fairness Evaluation. CoRR abs/2407.08926 (2024) - 2023
- [c104]Fumian Chen, Hui Fang:
Learn to be Fair without Labels: A Distribution-based Learning Framework for Fair Ranking. ICTIR 2023: 23-32 - [c103]Dayu Yang, Yue Zhang, Hui Fang:
Zero-shot Query Reformulation for Conversational Search. ICTIR 2023: 257-263 - [c102]Yue Zhang, Hui Fang:
Less is More: A Prototypical Framework for Efficient Few-Shot Named Entity Recognition. NLDB 2023: 33-46 - [i3]Dayu Yang, Yue Zhang, Hui Fang:
An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval. CoRR abs/2307.08803 (2023) - [i2]Dayu Yang, Yue Zhang, Hui Fang:
Zero-shot Query Reformulation for Conversational Search. CoRR abs/2307.09384 (2023) - 2022
- [j16]Yue Zhang, Cong Wang, Mya Soukaseum, Dionisios G. Vlachos, Hui Fang:
Unleashing the Power of Knowledge Extraction from Scientific Literature in Catalysis. J. Chem. Inf. Model. 62(14): 3316-3330 (2022) - [c101]Jia Chen, Yiqun Liu, Yan Fang, Jiaxin Mao, Hui Fang, Shenghao Yang, Xiaohui Xie, Min Zhang, Shaoping Ma:
Axiomatically Regularized Pre-training for Ad hoc Search. SIGIR 2022: 1524-1534 - [c100]Fumian Chen, Hui Fang:
An Exploration of Learning-to-re-rank Using a Two-step Framework for Fair Ranking. TREC 2022 - [c99]Dayu Yang, Yue Zhang, Hui Fang:
An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval. TREC 2022 - 2021
- [c98]Disen Wang, Hui Fang:
Predicting Question Responses to Improve the Performance of Retrieval-Based Chatbot. ECIR (2) 2021: 425-431 - [c97]Yue Zhang, Chengcheng Hu, Yuqi Liu, Hui Fang, Jimmy Lin:
Learning to Rank in the Age of Muppets: Effectiveness-Efficiency Tradeoffs in Multi-Stage Ranking. SustaiNLP@EMNLP 2021: 64-73 - 2020
- [j15]Enrique Amigó, Hui Fang, Stefano Mizzaro, Chengxiang Zhai:
Axiomatic thinking for information retrieval: introduction to special issue. Inf. Retr. J. 23(3): 187-190 (2020) - [c96]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. SDP@EMNLP 2020: 31-41 - [c95]Disen Wang, Hui Fang:
Length Adaptive Regularization for Retrieval-based Chatbot Models. ICTIR 2020: 113-120 - [c94]Zitong Cheng, Hui Fang:
Utilizing Axiomatic Perturbations to Guide Neural Ranking Models. ICTIR 2020: 153-156 - [c93]Disen Wang, Hui Fang:
An Adaptive Response Matching Network for Ranking Multi-turn Chatbot Responses. NLDB 2020: 239-251 - [c92]Kuang Lu, Hui Fang:
Aspect Based Background Document Retrieval for News Articles. TREC 2020 - [i1]Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin:
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. CoRR abs/2007.07846 (2020)
2010 – 2019
- 2019
- [c91]Kuang Lu, Hui Fang:
Leveraging Entities in Background Document Retrieval for News Articles. TREC 2019 - [c90]Disen Wang, Hui Fang:
Exploring Query Reformulation for Conversational Information Seeking. TREC 2019 - [c89]Di Zhao, Hui Fang:
Higway BERT for Passage Ranking. TREC 2019 - 2018
- [j14]Peilin Yang, Hui Fang, Jimmy Lin:
Anserini: Reproducible Ranking Baselines Using Lucene. ACM J. Data Inf. Qual. 10(4): 16:1-16:20 (2018) - [c88]Hao Xu, Hui Fang:
StanceComp: Aggregating Stances from Multiple Sources for Rumor Detection. AIRS 2018: 29-35 - [c87]Yue Wang, Hui Fang:
Key Terms Guided Expansion for Verbose Queries in Medical Domain. AIRS 2018: 143-156 - [c86]Kuang Lu, Hui Fang:
Silent Day Detection on Microblog Data. NLDB 2018: 443-455 - [c85]Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai:
Are we on the Right Track?: An Examination of Information Retrieval Methodologies. SIGIR 2018: 997-1000 - [c84]Kuang Lu, Hui Fang:
Paragraph as Lead - Finding Background Documents for News Articles. TREC 2018 - [c83]Yue Wang, Hui Fang:
Exploring post retrieval techniques for bio-medical domain retrieval. TREC 2018 - [r2]Hui Fang, ChengXiang Zhai:
Web Search Relevance Feedback. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j13]Hui Fang, Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Emine Yilmaz:
Report on the 2017 ACM SIGIR International Conference Theory of Information Retrieval (ICTIR?17). SIGIR Forum 51(3): 78-87 (2017) - [j12]Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai:
Report on the SIGIR 2017 Workshop on Axiomatic Thinking for Information Retrieval and Related Tasks (ATIR). SIGIR Forum 51(3): 99-106 (2017) - [c82]Hao Wu, Kuang Lu, Xiaoming Li, Hui Fang:
Improving Retrieval Effectiveness for Temporal-Constrained Top-K Query Processing. AIRS 2017: 3-15 - [c81]Yue Wang, Kuang Lu, Hui Fang:
Learning2extract for Medical Domain Retrieval. AIRS 2017: 45-57 - [c80]Peilin Yang, Mianwei Zhou, Yi Chang, Chengxiang Zhai, Hui Fang:
Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets. AIRS 2017: 210-221 - [c79]Yue Wang, Hongning Wang, Hui Fang:
Extracting User-Reported Mobile Application Defects from Online Reviews. ICDM Workshops 2017: 422-429 - [c78]Peilin Yang, Hui Fang:
Can Short Queries Be Even Shorter? ICTIR 2017: 43-50 - [c77]Yulin Zhang, Hui Fang, Xiaoming Li:
Scalable Top-K Query Processing Using Graphics Processing Unit. LCPC 2017: 240-261 - [c76]Peilin Yang, Hui Fang, Jimmy Lin:
Anserini: Enabling the Use of Lucene for Information Retrieval Research. SIGIR 2017: 1253-1256 - [c75]Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai:
Axiomatic Thinking for Information Retrieval: And Related Tasks. SIGIR 2017: 1419-1420 - [c74]Leif Azzopardi, Matt Crane, Hui Fang, Grant Ingersoll, Jimmy Lin, Yashar Moshfeghi, Harrisen Scells, Peilin Yang, Guido Zuccon:
The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017. SIGIR 2017: 1429-1430 - [c73]Kuang Lu, Peilin Yang, Hui Fang:
Silent Day Detection in Real-Time Summarization Track. TREC 2017 - [c72]Yue Wang, Hui Fang:
Combining Term-based and Concept-based Representation for Clinical Retrieval. TREC 2017 - [c71]Yue Wang, Peilin Yang, Hui Fang:
Evaluating Axiomatic Retrieval Models in the Core Track. TREC 2017 - [e2]Jaap Kamps, Evangelos Kanoulas, Maarten de Rijke, Hui Fang, Emine Yilmaz:
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017. ACM 2017, ISBN 978-1-4503-4490-6 [contents] - 2016
- [c70]Wei Zhong, Hui Fang:
OPMES: A Similarity Search Engine for Mathematical Content. ECIR 2016: 849-852 - [c69]Peilin Yang, Hui Fang:
A Reproducibility Study of Information Retrieval Models. ICTIR 2016: 77-86 - [c68]Peilin Yang, Hui Fang:
Estimating Retrieval Performance Bound for Single Term Queries. ICTIR 2016: 237-240 - [c67]Kuang Lu, Hui Fang:
Query Performance Prediction and Topic Shift in Microblog Retrieval. TREC 2016 - [c66]Yue Wang, Hui Fang:
Extracting Useful Information from Clinical Notes. TREC 2016 - [e1]Ben Carterette, Hui Fang, Mounia Lalmas, Jian-Yun Nie:
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016. ACM 2016, ISBN 978-1-4503-4497-5 [contents] - 2015
- [j11]Zhuo Li, Sandra Carberry, Hui Fang, Kathleen F. McCoy, Kelly Peterson, Matthew Stagitis:
A novel methodology for retrieving infographics utilizing structure and message content. Data Knowl. Eng. 100: 191-210 (2015) - [j10]Xitong Liu, Hui Fang:
Latent entity space: a novel retrieval approach for entity-bearing queries. Inf. Retr. J. 18(6): 473-503 (2015) - [j9]Peilin Yang, Hongning Wang, Hui Fang, Deng Cai:
Opinions matter: a general approach to user profile modeling for contextual suggestion. Inf. Retr. J. 18(6): 586-610 (2015) - [c65]Xitong Liu, Hui Fang, Deng Cai:
Towards Less Biased Web Search. ICTIR 2015: 373-376 - [c64]Kuang Lu, Hui Fang:
Event Oriented Query Expansion for News Event Queries. TREC 2015 - [c63]Peilin Yang, Hui Fang:
University of Delaware at TREC 2015: Combining Opinion Profile Modeling with Complex Context Filtering for Contextual Suggestion. TREC 2015 - 2014
- [j8]Christopher Boston, Hui Fang, Sandra Carberry, Hao Wu, Xitong Liu:
Wikimantic: Toward effective disambiguation and expansion of queries. Data Knowl. Eng. 90: 22-37 (2014) - [j7]Wei Zheng, Hui Fang, Conglei Yao, Min Wang:
Leveraging integrated information to extract query subtopics for search result diversification. Inf. Retr. 17(1): 52-73 (2014) - [j6]Xitong Liu, Fei Chen, Hui Fang, Min Wang:
Exploiting entity relationship for query expansion in enterprise search. Inf. Retr. 17(3): 265-294 (2014) - [c62]Yue Wang, Xitong Liu, Hui Fang:
A Study of Concept-based Weighting Regularization for Medical Records Search. ACL (1) 2014: 603-612 - [c61]Hao Wu, Hui Fang:
Document Prioritization for Scalable Query Processing. CIKM 2014: 1609-1618 - [c60]Hao Wu, Hui Fang:
Analytical Performance Modeling for Top-K Query Processing. CIKM 2014: 1619-1628 - [c59]Zhuo Li, Sandra Carberry, Hui Fang, Kathleen F. McCoy:
Identifying Important Features for Graph Retrieval. COLING 2014: 600-609 - [c58]Yue Wang, Hao Wu, Hui Fang:
An Exploration of Tie-Breaking for Microblog Retrieval. ECIR 2014: 713-719 - [c57]Xitong Liu, Peilin Yang, Hui Fang:
EntEXPO: An Interactive Search System for Entity-Bearing Queries. ECIR 2014: 784-788 - [c56]Zhuo Li, Sandra Carberry, Hui Fang, Kathleen F. McCoy, Kelly Peterson:
Infographics Retrieval: A New Methodology. NLDB 2014: 101-113 - [c55]Hui Fang, ChengXiang Zhai:
VIRLab: A Platform for Privacy-Preserving Evaluation for Information Retrieval Models. PIR@SIGIR 2014: 37-38 - [c54]Hui Fang, Hao Wu, Peilin Yang, ChengXiang Zhai:
VIRLab: a web-based virtual lab for learning and studying information retrieval models. SIGIR 2014: 1249-1250 - [c53]Hui Fang, ChengXiang Zhai:
Axiomatic analysis and optimization of information retrieval models. SIGIR 2014: 1288 - [c52]Xitong Liu, Peilin Yang, Hui Fang:
Entity Came to Rescue - Leveraging Entities to Minimize Risks in Web Search. TREC 2014 - [c51]Kuang Lu, Hui Fang, Diego Roa:
Concept Based Tie-breaking and Maximal Marginal Relevance Retrieval in Microblog Retrieval. TREC 2014 - [c50]Yue Wang, Hui Fang:
Exploring the Query Expansion Methods for Concept Based Representation. TREC 2014 - [c49]Peilin Yang, Hui Fang:
Exploration of Opinion-aware Approach to Contextual Suggestion. TREC 2014 - 2013
- [j5]Xitong Liu, Wei Zheng, Hui Fang:
An exploration of ranking models and feedback method for related entity finding. Inf. Process. Manag. 49(5): 995-1007 (2013) - [c48]Xitong Liu, Hui Fang:
Leveraging related entities for knowledge base acceleration. Web-KRM@CIKM 2013: 1-4 - [c47]ChengXiang Zhai, Hui Fang:
Axiomatic Analysis and Optimization of Information Retrieval Models. ICTIR 2013: 3 - [c46]Hao Wu, Hui Fang:
Tie Breaker: A Novel Way of Combining Retrieval Signals. ICTIR 2013: 16 - [c45]Wei Zheng, Hui Fang:
A Diagnostic Study of Search Result Diversification Methods. ICTIR 2013: 17 - [c44]Peilin Yang, Hui Fang:
Opinion-based User Profile Modeling for Contextual Suggestions. ICTIR 2013: 18 - [c43]Yue Wang, Irene Lizeth Manotas Gutiérrez, Kristina Winbladh, Hui Fang:
Automatic Detection of Ambiguous Terminology for Software Requirements. NLDB 2013: 25-37 - [c42]Hao Wu, Hui Fang:
An incremental approach to efficient pseudo-relevance feedback. SIGIR 2013: 553-562 - [c41]Xitong Liu, Jerry Darko, Hui Fang:
A Related Entity based Approach for Knowledge Base Acceleration. TREC 2013 - [c40]Yue Wang, Jerry Darko, Hui Fang:
Tie-breaker: A New Perspective of Ranking and Evaluation for Microblog Retrieval. TREC 2013 - [c39]Peilin Yang, Hui Fang:
An Opinion-aware Approach to Contextual Suggestion. TREC 2013 - [c38]Peilin Yang, Hui Fang:
Evaluating the Effectiveness of Axiomatic Approaches in Web Track. TREC 2013 - [c37]Lijiang Chen, Yibing Zhao, Shimin Chen, Hui Fang, Chengkai Li, Min Wang:
iPLUG: Personalized List Recommendation in Twitter. WISE (2) 2013: 88-103 - 2012
- [j4]Wei Zheng, Hui Fang, Hong Cheng, Xuanhui Wang:
Diversifying Search Results through Pattern-Based Subtopic Modeling. Int. J. Semantic Web Inf. Syst. 8(4): 37-56 (2012) - [j3]Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng:
Coverage-based search result diversification. Inf. Retr. 15(5): 433-457 (2012) - [c36]Wei Zheng, Hui Fang, Conglei Yao:
Exploiting concept hierarchy for result diversification. CIKM 2012: 1844-1848 - [c35]Xitong Liu, Hui Fang, Fei Chen, Min Wang:
Entity centric query expansion for enterprise search. CIKM 2012: 1955-1959 - [c34]Hao Wu, Hui Fang:
Relation Based Term Weighting Regularization. ECIR 2012: 109-120 - [c33]Christopher Boston, Sandra Carberry, Hui Fang:
Wikimantic: Disambiguation for Short Queries. NLDB 2012: 140-151 - [c32]Xitong Liu, Hui Fang:
Entity Profile Based Approach in Automatic Knowledge Finding. TREC 2012 - [c31]Miguel A. Callejas P., Yue Wang, Hui Fang:
Exploiting Domain Thesaurus for Medical Record Retrieval. TREC 2012 - [c30]Hao Wu, Hui Fang:
Concept Detection and Using Concept in adhoc of Microblog Search. TREC 2012 - [c29]Peilin Yang, Hui Fang:
An Exploraton of Ranking-Based Strategy for Contextual Suggestion. TREC 2012 - [c28]Wei Zheng, Hui Fang:
Exploiting Ontologies for Search Result Diversification. TREC 2012 - [c27]Hao Wu, Hui Fang, Steven J. Stanhope:
An early warning system for unrecognized drug side effects discovery. WWW (Companion Volume) 2012: 437-440 - 2011
- [j2]Hui Fang, Tao Tao, ChengXiang Zhai:
Diagnostic Evaluation of Information Retrieval Models. ACM Trans. Inf. Syst. 29(2): 7:1-7:42 (2011) - [c26]Xitong Liu, Hui Fang, Conglei Yao, Min Wang:
Finding relevant information of certain types from enterprise data. CIKM 2011: 47-56 - [c25]Wei Zheng, Hui Fang, Conglei Yao, Min Wang:
Search result diversification for enterprise data. CIKM 2011: 1901-1904 - [c24]Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng:
An exploration of pattern-based subtopic modeling for search result diversification. JCDL 2011: 387-388 - [c23]Hao Wu, Hui Fang:
An Exploration of New Ranking Strategies for Medical Record Tracks. TREC 2011 - [c22]Hao Wu, Hui Fang:
Time-Sensitive Weighting for Microblog Retrieval. TREC 2011 - [c21]Wei Zheng, Hui Fang:
A Study of Pattern-Based Suptopic Discovery and Integration in the Web Track. TREC 2011 - 2010
- [c20]Wei Zheng, Hui Fang:
Query Aspect Based Term Weighting Regularization in Information Retrieval. ECIR 2010: 344-356 - [c19]Ben Carterette, Evangelos Kanoulas, Virgiliu Pavlu, Hui Fang:
Reusable test collections through experimental design. SIGIR 2010: 547-554 - [c18]Wei Zheng, Hui Fang, Xuanhui Wang:
University of Delaware at Diverstiy Task of Web Track 2010. TREC 2010
2000 – 2009
- 2009
- [j1]Yue Lu, Hui Fang, Chengxiang Zhai:
An empirical study of gene synonym query expansion in biomedical information retrieval. Inf. Retr. 12(1): 51-68 (2009) - [c17]Ben Carterette, Virgiliu Pavlu, Hui Fang, Evangelos Kanoulas:
Million Query Track 2009 Overview. TREC 2009 - [c16]Wei Zheng, Hui Fang:
Axiomatic Approaches to Information Retrieval--University of Delaware at TREC 2009 Million Query and Web Tracks. TREC 2009 - [c15]Wei Zheng, Swapna Gottipati, Jing Jiang, Hui Fang:
UDEL/SMU at TREC 2009 Entity Track. TREC 2009 - [r1]Hui Fang, ChengXiang Zhai:
Web Search Relevance Feedback. Encyclopedia of Database Systems 2009: 3493-3497 - 2008
- [c14]Xuanhui Wang, Hui Fang, ChengXiang Zhai:
A study of methods for negative relevance feedback. SIGIR 2008: 219-226 - 2007
- [b1]Hui Fang:
An Axiomatic Approach to Information Retrieval. University of Illinois Urbana-Champaign, USA, 2007 - [c13]Xuanhui Wang, Hui Fang, ChengXiang Zhai:
Improve retrieval accuracy for difficult queries using negative feedback. CIKM 2007: 991-994 - [c12]Hui Fang, ChengXiang Zhai:
Probabilistic Models for Expert Finding. ECIR 2007: 418-430 - [c11]Bin Tan, Atulya Velivelli, Hui Fang, ChengXiang Zhai:
Term feedback for information retrieval with language models. SIGIR 2007: 263-270 - [c10]Qiaozhu Mei, Hui Fang, ChengXiang Zhai:
A study of Poisson query generation model for information retrieval. SIGIR 2007: 319-326 - 2006
- [c9]Hui Fang, ChengXiang Zhai:
Semantic term matching in axiomatic approaches to information retrieval. SIGIR 2006: 115-122 - [c8]Hui Fang, Lixin Zhou, ChengXiang Zhai:
Language Models for Expert Finding--UIUC TREC 2006 Enterprise Track Experiments. TREC 2006 - 2005
- [c7]Hui Fang, ChengXiang Zhai:
An exploration of axiomatic approaches to information retrieval. SIGIR 2005: 480-487 - [c6]