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Hui Fang 0001

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affiliation: University of Delaware, USA

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2020 – today

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2024
[c106]
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Fumian Chen, Dayu Yang, Hui Fang:
Toward Automatic Group Membership Annotation for Group Fairness Evaluation. NLDB (1) 2024: 285-300
[c105]
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Dayu Yang, Fumian Chen, Hui Fang:
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems. SIGIR 2024: 2286-2290
[i6]
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Dayu Yang, Fumian Chen, Hui Fang:
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems. CoRR abs/2404.11773 (2024)
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Fumian Chen, Hui Fang:
Learn to be Fair without Labels: a Distribution-based Learning Framework for Fair Ranking. CoRR abs/2405.17798 (2024)
[i4]
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Fumian Chen, Dayu Yang, Hui Fang:
Toward Automatic Group Membership Annotation for Group Fairness Evaluation. CoRR abs/2407.08926 (2024)
2023
[c104]
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Fumian Chen, Hui Fang:
Learn to be Fair without Labels: A Distribution-based Learning Framework for Fair Ranking. ICTIR 2023: 23-32
[c103]
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Dayu Yang, Yue Zhang, Hui Fang:
Zero-shot Query Reformulation for Conversational Search. ICTIR 2023: 257-263
[c102]
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Yue Zhang, Hui Fang:
Less is More: A Prototypical Framework for Efficient Few-Shot Named Entity Recognition. NLDB 2023: 33-46
[i3]
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Dayu Yang, Yue Zhang, Hui Fang:
An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval. CoRR abs/2307.08803 (2023)
[i2]
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Dayu Yang, Yue Zhang, Hui Fang:
Zero-shot Query Reformulation for Conversational Search. CoRR abs/2307.09384 (2023)
2022
[j16]
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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]
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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]
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Fumian Chen, Hui Fang:
An Exploration of Learning-to-re-rank Using a Two-step Framework for Fair Ranking. TREC 2022
[c99]
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Dayu Yang, Yue Zhang, Hui Fang:
An Exploration Study of Mixed-initiative Query Reformulation in Conversational Passage Retrieval. TREC 2022
2021
[c98]
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Disen Wang, Hui Fang:
Predicting Question Responses to Improve the Performance of Retrieval-Based Chatbot. ECIR (2) 2021: 425-431
[c97]
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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]
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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]
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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]
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Disen Wang, Hui Fang:
Length Adaptive Regularization for Retrieval-based Chatbot Models. ICTIR 2020: 113-120
[c94]
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Zitong Cheng, Hui Fang:
Utilizing Axiomatic Perturbations to Guide Neural Ranking Models. ICTIR 2020: 153-156
[c93]
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Disen Wang, Hui Fang:
An Adaptive Response Matching Network for Ranking Multi-turn Chatbot Responses. NLDB 2020: 239-251
[c92]
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Kuang Lu, Hui Fang:
Aspect Based Background Document Retrieval for News Articles. TREC 2020
[i1]
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  - journals/corr/abs-2007-07846
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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

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2019
[c91]
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Kuang Lu, Hui Fang:
Leveraging Entities in Background Document Retrieval for News Articles. TREC 2019
[c90]
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Disen Wang, Hui Fang:
Exploring Query Reformulation for Conversational Information Seeking. TREC 2019
[c89]
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Di Zhao, Hui Fang:
Higway BERT for Passage Ranking. TREC 2019
2018
[j14]
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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]
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Hao Xu, Hui Fang:
StanceComp: Aggregating Stances from Multiple Sources for Rumor Detection. AIRS 2018: 29-35
[c87]
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Yue Wang, Hui Fang:
Key Terms Guided Expansion for Verbose Queries in Medical Domain. AIRS 2018: 143-156
[c86]
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Kuang Lu, Hui Fang:
Silent Day Detection on Microblog Data. NLDB 2018: 443-455
[c85]
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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]
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Kuang Lu, Hui Fang:
Paragraph as Lead - Finding Background Documents for News Articles. TREC 2018
[c83]
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Yue Wang, Hui Fang:
Exploring post retrieval techniques for bio-medical domain retrieval. TREC 2018
[r2]
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Hui Fang, ChengXiang Zhai:
Web Search Relevance Feedback. Encyclopedia of Database Systems (2nd ed.) 2018
2017
[j13]
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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]
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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]
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Hao Wu, Kuang Lu, Xiaoming Li, Hui Fang:
Improving Retrieval Effectiveness for Temporal-Constrained Top-K Query Processing. AIRS 2017: 3-15
[c81]
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Yue Wang, Kuang Lu, Hui Fang:
Learning2extract for Medical Domain Retrieval. AIRS 2017: 45-57
[c80]
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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]
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Yue Wang, Hongning Wang, Hui Fang:
Extracting User-Reported Mobile Application Defects from Online Reviews. ICDM Workshops 2017: 422-429
[c78]
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Peilin Yang, Hui Fang:
Can Short Queries Be Even Shorter? ICTIR 2017: 43-50
[c77]
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Yulin Zhang, Hui Fang, Xiaoming Li:
Scalable Top-K Query Processing Using Graphics Processing Unit. LCPC 2017: 240-261
[c76]
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Peilin Yang, Hui Fang, Jimmy Lin:
Anserini: Enabling the Use of Lucene for Information Retrieval Research. SIGIR 2017: 1253-1256
[c75]
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Enrique Amigó, Hui Fang, Stefano Mizzaro, ChengXiang Zhai:
Axiomatic Thinking for Information Retrieval: And Related Tasks. SIGIR 2017: 1419-1420
[c74]
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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]
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Kuang Lu, Peilin Yang, Hui Fang:
Silent Day Detection in Real-Time Summarization Track. TREC 2017
[c72]
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Yue Wang, Hui Fang:
Combining Term-based and Concept-based Representation for Clinical Retrieval. TREC 2017
[c71]
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Yue Wang, Peilin Yang, Hui Fang:
Evaluating Axiomatic Retrieval Models in the Core Track. TREC 2017
[e2]
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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]
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Wei Zhong, Hui Fang:
OPMES: A Similarity Search Engine for Mathematical Content. ECIR 2016: 849-852
[c69]
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Peilin Yang, Hui Fang:
A Reproducibility Study of Information Retrieval Models. ICTIR 2016: 77-86
[c68]
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Peilin Yang, Hui Fang:
Estimating Retrieval Performance Bound for Single Term Queries. ICTIR 2016: 237-240
[c67]
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Kuang Lu, Hui Fang:
Query Performance Prediction and Topic Shift in Microblog Retrieval. TREC 2016
[c66]
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Yue Wang, Hui Fang:
Extracting Useful Information from Clinical Notes. TREC 2016
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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]
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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]
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Xitong Liu, Hui Fang:
Latent entity space: a novel retrieval approach for entity-bearing queries. Inf. Retr. J. 18(6): 473-503 (2015)
[j9]
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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]
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Xitong Liu, Hui Fang, Deng Cai:
Towards Less Biased Web Search. ICTIR 2015: 373-376
[c64]
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Kuang Lu, Hui Fang:
Event Oriented Query Expansion for News Event Queries. TREC 2015
[c63]
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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]
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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]
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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]
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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]
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Yue Wang, Xitong Liu, Hui Fang:
A Study of Concept-based Weighting Regularization for Medical Records Search. ACL (1) 2014: 603-612
[c61]
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Hao Wu, Hui Fang:
Document Prioritization for Scalable Query Processing. CIKM 2014: 1609-1618
[c60]
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Hao Wu, Hui Fang:
Analytical Performance Modeling for Top-K Query Processing. CIKM 2014: 1619-1628
[c59]
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Zhuo Li, Sandra Carberry, Hui Fang, Kathleen F. McCoy:
Identifying Important Features for Graph Retrieval. COLING 2014: 600-609
[c58]
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Yue Wang, Hao Wu, Hui Fang:
An Exploration of Tie-Breaking for Microblog Retrieval. ECIR 2014: 713-719
[c57]
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Xitong Liu, Peilin Yang, Hui Fang:
EntEXPO: An Interactive Search System for Entity-Bearing Queries. ECIR 2014: 784-788
[c56]
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Zhuo Li, Sandra Carberry, Hui Fang, Kathleen F. McCoy, Kelly Peterson:
Infographics Retrieval: A New Methodology. NLDB 2014: 101-113
[c55]
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Hui Fang, ChengXiang Zhai:
VIRLab: A Platform for Privacy-Preserving Evaluation for Information Retrieval Models. PIR@SIGIR 2014: 37-38
[c54]
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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]
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Hui Fang, ChengXiang Zhai:
Axiomatic analysis and optimization of information retrieval models. SIGIR 2014: 1288
[c52]
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Xitong Liu, Peilin Yang, Hui Fang:
Entity Came to Rescue - Leveraging Entities to Minimize Risks in Web Search. TREC 2014
[c51]
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Kuang Lu, Hui Fang, Diego Roa:
Concept Based Tie-breaking and Maximal Marginal Relevance Retrieval in Microblog Retrieval. TREC 2014
[c50]
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Yue Wang, Hui Fang:
Exploring the Query Expansion Methods for Concept Based Representation. TREC 2014
[c49]
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Peilin Yang, Hui Fang:
Exploration of Opinion-aware Approach to Contextual Suggestion. TREC 2014
2013
[j5]
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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]
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Xitong Liu, Hui Fang:
Leveraging related entities for knowledge base acceleration. Web-KRM@CIKM 2013: 1-4
[c47]
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ChengXiang Zhai, Hui Fang:
Axiomatic Analysis and Optimization of Information Retrieval Models. ICTIR 2013: 3
[c46]
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Hao Wu, Hui Fang:
Tie Breaker: A Novel Way of Combining Retrieval Signals. ICTIR 2013: 16
[c45]
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Wei Zheng, Hui Fang:
A Diagnostic Study of Search Result Diversification Methods. ICTIR 2013: 17
[c44]
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Peilin Yang, Hui Fang:
Opinion-based User Profile Modeling for Contextual Suggestions. ICTIR 2013: 18
[c43]
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Yue Wang, Irene Lizeth Manotas Gutiérrez, Kristina Winbladh, Hui Fang:
Automatic Detection of Ambiguous Terminology for Software Requirements. NLDB 2013: 25-37
[c42]
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Hao Wu, Hui Fang:
An incremental approach to efficient pseudo-relevance feedback. SIGIR 2013: 553-562
[c41]
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Xitong Liu, Jerry Darko, Hui Fang:
A Related Entity based Approach for Knowledge Base Acceleration. TREC 2013
[c40]
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Yue Wang, Jerry Darko, Hui Fang:
Tie-breaker: A New Perspective of Ranking and Evaluation for Microblog Retrieval. TREC 2013
[c39]
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Peilin Yang, Hui Fang:
An Opinion-aware Approach to Contextual Suggestion. TREC 2013
[c38]
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Peilin Yang, Hui Fang:
Evaluating the Effectiveness of Axiomatic Approaches in Web Track. TREC 2013
[c37]
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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]
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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]
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Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng:
Coverage-based search result diversification. Inf. Retr. 15(5): 433-457 (2012)
[c36]
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Wei Zheng, Hui Fang, Conglei Yao:
Exploiting concept hierarchy for result diversification. CIKM 2012: 1844-1848
[c35]
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Xitong Liu, Hui Fang, Fei Chen, Min Wang:
Entity centric query expansion for enterprise search. CIKM 2012: 1955-1959
[c34]
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Hao Wu, Hui Fang:
Relation Based Term Weighting Regularization. ECIR 2012: 109-120
[c33]
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  - conf/nldb/BostonCF12
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Christopher Boston, Sandra Carberry, Hui Fang:
Wikimantic: Disambiguation for Short Queries. NLDB 2012: 140-151
[c32]
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Xitong Liu, Hui Fang:
Entity Profile Based Approach in Automatic Knowledge Finding. TREC 2012
[c31]
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Miguel A. Callejas P., Yue Wang, Hui Fang:
Exploiting Domain Thesaurus for Medical Record Retrieval. TREC 2012
[c30]
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Hao Wu, Hui Fang:
Concept Detection and Using Concept in adhoc of Microblog Search. TREC 2012
[c29]
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Peilin Yang, Hui Fang:
An Exploraton of Ranking-Based Strategy for Contextual Suggestion. TREC 2012
[c28]
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Wei Zheng, Hui Fang:
Exploiting Ontologies for Search Result Diversification. TREC 2012
[c27]
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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]
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Hui Fang, Tao Tao, ChengXiang Zhai:
Diagnostic Evaluation of Information Retrieval Models. ACM Trans. Inf. Syst. 29(2): 7:1-7:42 (2011)
[c26]
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Xitong Liu, Hui Fang, Conglei Yao, Min Wang:
Finding relevant information of certain types from enterprise data. CIKM 2011: 47-56
[c25]
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Wei Zheng, Hui Fang, Conglei Yao, Min Wang:
Search result diversification for enterprise data. CIKM 2011: 1901-1904
[c24]
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Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng:
An exploration of pattern-based subtopic modeling for search result diversification. JCDL 2011: 387-388
[c23]
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Hao Wu, Hui Fang:
An Exploration of New Ranking Strategies for Medical Record Tracks. TREC 2011
[c22]
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Hao Wu, Hui Fang:
Time-Sensitive Weighting for Microblog Retrieval. TREC 2011
[c21]
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Wei Zheng, Hui Fang:
A Study of Pattern-Based Suptopic Discovery and Integration in the Web Track. TREC 2011
2010
[c20]
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Wei Zheng, Hui Fang:
Query Aspect Based Term Weighting Regularization in Information Retrieval. ECIR 2010: 344-356
[c19]
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  - conf/sigir/CarteretteKPF10
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Ben Carterette, Evangelos Kanoulas, Virgiliu Pavlu, Hui Fang:
Reusable test collections through experimental design. SIGIR 2010: 547-554
[c18]
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Wei Zheng, Hui Fang, Xuanhui Wang:
University of Delaware at Diverstiy Task of Web Track 2010. TREC 2010

2000 – 2009

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2009
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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]
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Ben Carterette, Virgiliu Pavlu, Hui Fang, Evangelos Kanoulas:
Million Query Track 2009 Overview. TREC 2009
[c16]
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Wei Zheng, Hui Fang:
Axiomatic Approaches to Information Retrieval--University of Delaware at TREC 2009 Million Query and Web Tracks. TREC 2009
[c15]
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Wei Zheng, Swapna Gottipati, Jing Jiang, Hui Fang:
UDEL/SMU at TREC 2009 Entity Track. TREC 2009
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Hui Fang, ChengXiang Zhai:
Web Search Relevance Feedback. Encyclopedia of Database Systems 2009: 3493-3497
2008
[c14]
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Xuanhui Wang, Hui Fang, ChengXiang Zhai:
A study of methods for negative relevance feedback. SIGIR 2008: 219-226
2007
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Hui Fang:
An Axiomatic Approach to Information Retrieval. University of Illinois Urbana-Champaign, USA, 2007
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Xuanhui Wang, Hui Fang, ChengXiang Zhai:
Improve retrieval accuracy for difficult queries using negative feedback. CIKM 2007: 991-994
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Hui Fang, ChengXiang Zhai:
Probabilistic Models for Expert Finding. ECIR 2007: 418-430
[c11]
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Bin Tan, Atulya Velivelli, Hui Fang, ChengXiang Zhai:
Term feedback for information retrieval with language models. SIGIR 2007: 263-270
[c10]
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Qiaozhu Mei, Hui Fang, ChengXiang Zhai:
A study of Poisson query generation model for information retrieval. SIGIR 2007: 319-326
2006
[c9]
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Hui Fang, ChengXiang Zhai:
Semantic term matching in axiomatic approaches to information retrieval. SIGIR 2006: 115-122
[c8]
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Hui Fang, Lixin Zhou, ChengXiang Zhai:
Language Models for Expert Finding--UIUC TREC 2006 Enterprise Track Experiments. TREC 2006
2005
[c7]
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Hui Fang, ChengXiang Zhai:
An exploration of axiomatic approaches to information retrieval. SIGIR 2005: 480-487
[c6]
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Hui Fang, ChengXiang Zhai:
An Axiomatic Approach to IR--UIUC TREC 2005 Robust Track Experiments. TREC 2005
[c5]
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Bin Tan, Atulya Velivelli, Hui Fang, ChengXiang Zhai:
Interactive Construction of Query Language Models - UIUC TREC 2005 HARD Track Experiments. TREC 2005
[c4]
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ChengXiang Zhai, Xu Ling, Xin He, Atulya Velivelli, Xuanhui Wang, Hui Fang, Azadeh Shakery, Xinghua Lu:
UIUC/MUSC at TREC 2005 Genomics Track. TREC 2005
2004
[c3]
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Hui Fang, ChengXiang Zhai, Lei Liu, Jiong Yang:
Subspace Clustering for Microarray Data Analysis: Multiple Criteria and Significance Assessment. CSB 2004: 582-583
[c2]
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Hui Fang, Tao Tao, ChengXiang Zhai:
A formal study of information retrieval heuristics. SIGIR 2004: 49-56
2003
[c1]
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ChengXiang Zhai, Tao Tao, Hui Fang, Zhidi Shang:
Improving the Robustness of Language Models - UIUC TREC 2003 Robust and Genomics Experiments. TREC 2003: 667-672

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