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ORCIDHang Li 0009
Person information
- affiliation: University of Queensland, IElab, Brisbane, Australia
Other persons with the same name
- Hang Li — disambiguation page
- Hang Li 0001
![[0000-0001-9628-3487]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9628-3487")
— ByteDance, China (and 4 more) - Hang Li 0002 — Hangzhou Dianzi University, School of Electronics and Information, China (and 2 more)
- Hang Li 0003 — Shenzhen Research Institute of Big Data, Shenzhen, Guangdong, China (and 2 more)
- Hang Li 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Hang Li 0005 — University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, NSW, Australia
- Hang Li 0006 — Shenyang Normal University, Software College, China
- Hang Li 0007 — Michigan State University, East Lansing, MI, USA (and 1 more)
- Hang Li 0008 — Army Engineering University of PLA, PLAUST, College of Command and Control Engineering, Nanjing, China
- Hang Li 0010 — Ludwig Maximilian University of Munich, Munich, Germany (and 1 more)
- Hang Li 0011 — NEC Corporation, Kawasaki, Japan
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2020 – today
- 2024
[i9]Chuting Yu, Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon:
TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval. CoRR abs/2401.13509 (2024)- 2023
- [j1]Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. ACM Trans. Inf. Syst. 41(3): 62:1-62:40 (2023) - [c11]Hang Li, Bevan Koopman, Ahmed Mourad, Guido Zuccon:
AgAsk: A Conversational Search Agent for Answering Agricultural Questions. WSDM 2023: 1140-1143 - [c10]Shuai Wang, Hang Li, Guido Zuccon:
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. WSDM 2023: 1176-1179 - 2022
- [c9]Hang Li, Shengyao Zhuang, Xueguang Ma, Jimmy Lin, Guido Zuccon:
Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. ADCS 2022: 1:1-1:6 - [c8]Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. ECIR (1) 2022: 599-612 - [c7]Shengyao Zhuang, Hang Li, Guido Zuccon:
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. SIGIR 2022: 18-28 - [c6]Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon:
How Does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval. SIGIR 2022: 2154-2158 - [c5]Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. SIGIR 2022: 2495-2500 - [i8]Shengyao Zhuang, Hang Li, Guido Zuccon:
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. CoRR abs/2204.00718 (2022) - [i7]Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. CoRR abs/2205.00235 (2022) - [i6]Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon:
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval? CoRR abs/2205.05888 (2022) - [i5]Shuai Wang, Hang Li, Guido Zuccon:
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. CoRR abs/2212.09018 (2022) - [i4]Bevan Koopman, Ahmed Mourad, Hang Li, Anton van der Vegt, Shengyao Zhuang, Simon Gibson, Yash Dang, David Lawrence, Guido Zuccon:
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents. CoRR abs/2212.10762 (2022) - 2021
- [c4]Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon:
MeSH Term Suggestion for Systematic Review Literature Search. ADCS 2021: 8:1-8:8 - [c3]Shengyao Zhuang, Hang Li, Guido Zuccon:
Deep Query Likelihood Model for Information Retrieval. ECIR (2) 2021: 463-470 - [i3]Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. CoRR abs/2108.11044 (2021) - [i2]Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon:
MeSH Term Suggestion for Systematic Review Literature Search. CoRR abs/2112.00277 (2021) - [i1]Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. CoRR abs/2112.06400 (2021) - 2020
- [c2]Hang Li, Harrisen Scells, Guido Zuccon:
Systematic Review Automation Tools for End-to-End Query Formulation. SIGIR 2020: 2141-2144 - [c1]Sebastian Cross, Hang Li, Arvin Zhuang, Ahmed Mourad, Guido Zuccon, Bevan Koopman:
IELAB for TREC Conversational Assistance Track (CAsT) 2020. TREC 2020
Coauthor Index
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