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Systematic Review Automation Tools for End-to-End Query Formulation

Hang Li, Harrisen Scells, Guido Zuccon
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
[Paper PDF] [Github]

UQ IELab at TREC 2020 CAsT Track

Sebastian Cross, Hang Li, Shengyao Zhuang, Ahmed Mourad, Bevan Koopman, Guido Zuccon
Proceedings of the Text REtrieval Conference Conversational Assistance Track (CAsT) 2020 (TREC CAsT 2020)
[Paper PDF] [Github]

Design and Research of Intelligent Question-Answering(Q&A) System Based on High School Course Knowledge Graph

Zhijun Yang, Yang Wang, Jianhou Gan, Hang Li, Ning Lei
Mobile Networks and Applications Journal (MNA 2021)
[Paper PDF]

Deep Query Likelihood Model for Information Retrieval

Shengyao Zhuang, Hang Li (Equal Contribution), Guido Zuccon
Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021)
[Paper PDF] [Github]

IELAB at TREC Deep Learning Track 2021

Shengyao Zhuang, Hang Li, Shuai Wang and Guido Zuccon
Proceedings of the Text REtrieval Conference Deep Learning Track (DL) 2021 (TREC DL 2021)
[Paper PDF] [Github]

MeSH Term Suggestion for Systematic Review Literature Search

Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke and Guido Zuccon
Proceedings of 25th Australasian Document Computing Symposium
Best Student Paper Award
[Paper PDF] [Github]

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study

Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
Proceedings of the 44rd European Conference on Information Retrieval (ECIR 2022)
[Paper PDF] [Github]

Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach

Shengyao Zhuang, Hang Li and Guido Zuccon
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)
[Paper PDF]

How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval

Hang Li, Ahmed Mourad, Bevan Koopman and Guido Zuccon
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)
[Paper PDF]

To interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers

Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin and Guido Zuccon
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)
[Paper PDF]

Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls

Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon
Accepted to ACM Transactions on Information Systems (TOIS).
[Paper PDF] [Github]

Pseudo-Relevance Feedback with Dense Retrievers in Pyserini

Hang Li*, Shengyao Zhuang*, Xueguang Ma, Jimmy Lin and Guido Zuccon
Proceedings of 26th Australasian Document Computing Symposium
[Paper PDF] [Github]

AgAsk: A Conversational Search Agent for Answering Agricultural Questions

Hang Li, Bevan Koopman, Ahmed Mourad and Guido Zuccon
Proceedings of the 16th ACM International Conference on Web Search and Data Mining
[Paper PDF] [Github]

MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction

Shuai Wang, Hang Li, and Guido Zuccon
Proceedings of the 16th ACM International Conference on Web Search and Data Mining
[Paper PDF] [Github]

Hang Li

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