About Me
Hang Li is currently a PhD candidate at IELab in the School of Information Technology and Electrical Engineering at the University of Queensland, Australia, where he works closely with A/Prof. Guido Zuccon, Dr. Bevan Koopman, and Dr. Ahmed Mourad. Prior to Ph.D, Hang received his Bachelor of Science degree in Computer Science at the University of Minnesota Twin-Cities in United States in 2016.
Hang works at the intersection of Conversational Search, Natural Language Processing (NLP), and Machine Learning (ML) applications, where he utilises different relevance feedbacks to empower the conversational search system. His recent work seeks to address the gap between relevance feedback, deep language models, and conversational search through different approaches that helps to improve the conversational system effectiveness with minimal efficiency cost.
Hang publishes at premier academic venues in IR (e.g. SIGIR, ECIR). His work is supported by Grains Research and Development Corporation, through the AgAsk project.
News
2024-10-07
✈️ Back at Brisbane with full research power ON.2024-01-24
🎉 Our work TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval is now on arXiv preprint!2023-06-19
🎉 Our work AgAsk: An Agent to Help Answer Farmer’s Questions From Scientific Documents has been accepted to International Journal on Digital Libraries!2022-11-23
🎉 Our paper MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction has been accepted to WSDM 2023!2022-11-23
🎉 Our paper AgAsk: A Conversational Search Agent for Answering Agricultural Questions has been accepted to WSDM 2023!2022-11-15
🎉 Our paper Pseudo-Relevance Feedback with Dense Retrievers in Pyserini has been accepted to ADCS 2022!2022-11-14
✈️ Visiting China, working remotely.2022-07-26
🏫 Came back from SIGIR 2022, now working on campus.2022-07-01
✈️ I will be in Italy and Spain during 2022/07/06 - 2022/07/25 for SIGIR 2022.
MORE...
- 2022-04-01
🎉 Our paper To interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers has been accepted to SIGIR 2022! - 2022-04-01
🎉 Our paper Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach has been accepted to SIGIR 2022! - 2022-04-01
🎉 Our paper How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval has been accepted to SIGIR 2022! - 2022-01-18
🎉 Our paper MeSH Term Suggestion for Systematic Review Literature Search has been awarded the Best Student Paper Award in ADCS 2021! - 2022-01-01
🎉 Our dataset Agvaluate is now available on UQ eSpace! - 2021-11-26
📃 Our paper Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study has been accepted to ECIR 2022! The code is open-sourced here. - 2021-11-15
📃 Our paper MeSH Term Suggestion for Systematic Review Literature Search has been accepted to ADCS 2021! The code is open-sourced here. - 2020-11-13
📃 Our workshop paper IELAB at TREC Deep Learning Track 2021 is now published! - 2021-09-25
🎉 Our team ielab (Shengyao Zhuang, Shuai Wang, and myself) successfully defended our method and won the championship in the "Search Rankings in Multimodal and Multilingual Contexts Track" within the 2021 Huawei DIGIX Global AI Challenge! Go TEAM IELAB! - 2021-09-09
🎉 I've successfully passed the PhD Confirmation! Yay! Looking foward to do more experiments! - 2021-08-25
📃 Our journal paper Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls is now available on arXiv! Code is available at here. Paper is currently under review, was submitted to the Journal of ACM Transactions on Information Systems (TOIS) in June, 2021. - 2020-12-15
📃 Our paper Deep Query Likelihood Model for Information Retrieval has been accepted to ECIR 2021 as a short paper! The code is open-sourced here. A video of the work is available here. - 2020-12-06
📃 Our paper Design and Research of Intelligent Question-Answering(Q&A) System Based on High School Course Knowledge Graph has been accepted to Mobile Networks and Applications as a journal paper! - 2020-11-11
📃 Our workshop paper IELAB for TREC Conversational Assistance Track (CAsT) 2020 is now published online! Our submissions are open-sourced here. - 2020-07-26
💬 I will present our work on Systematic Review Automation Tools for End-to-End Query Formulation at the SIGIR 2020! - 2020-04-22
📃 Our paper Systematic Review Automation Tools for End-to-End Query Formulation has been accepted to SIGIR 2020 as a Demo paper! The code is open-sourced here. A video of my talk is also available online. - 2020-03-01
🏫 I am thrilled to announce that I will be joining IELab @ UQ as a Ph.D student in Information Retrieval under the supervision of A/Prof. Guido Zuccon starting next month!
Travel
2023-02-27 – 2023-03-03
✈️ Singapore for WSDM 20232022-11-14 – 2024-10-06
✈️ Zhuji, Zhejiang, China for visting family
MORE...
- 2022-07-11 -- 2022-07-15
✈️ Madrid, Spain for SIGIR 2022 - 2022-04-10 -- 2022-04-14
✈️Stavanger, Norway for ECIR 2022(Attending Online) - 2021-11-01 -- 2021-11-05
✈️Gold Coast, Australia for CIKM 2021(Cancelled due to COVID-19) - 2021-07-11 -- 2021-07-15
✈️Montréal, Québec, Canada for SIGIR/ICTIR 2021(Cancelled due to COVID-19) - 2021-04-19 -- 2021-04-23
✈️Ljubljana, Slovenia for WWW 2021(Cancelled due to COVID-19) - 2021-03-28 -- 2021-04-01
✈️Lucca, Italy for ECIR 2021(Cancelled due to COVID-19) - 2021-03-14 -- 2021-03-19
✈️Canberra, Australia for CHIIR 2021(Cancelled due to COVID-19) - 2021-03-08 -- 2021-03-12
✈️Jerusalem, Israel for WSDM 2021(Cancelled due to COVID-19) - 2020-10-19 -- 2020-10-23
✈️Galway, Ireland for CIKM 2020(Cancelled due to COVID-19) - 2020-09-14 -- 2020-09-17
✈️Stavanger, Norway for ICTIR 2020(Cancelled due to COVID-19) - 2020-08-13 -- 2020-08-14
✈️Vancouver, Canada for CHIIR 2020(Cancelled due to COVID-19) - 2020-07-25 -- 2020-07-30
✈️Xi'An, China for SIGIR 2020(Cancelled due to COVID-19) - 2020-07-05 -- 2020-07-10
✈️Seattle, WA, USA for NAACL 2020(Cancelled due to COVID-19) - 2020-04-20 -- 2020-04-24
✈️Taipei, Taiwan for WWW 2020(Cancelled due to COVID-19) - 2020-04-14 -- 2020-04-17
✈️Lisbon, Portugal for ECIR 2020(Cancelled due to COVID-19)
Recent Publications
AgAsk: An Agent to Help Answer Farmer’s Questions From Scientific Documents
Bevan Koopman, Ahmed Mourad, Hang Li, Anton van der Vegt, Shengyao Zhuang, Simon Gibson, Yash Dang, David Lawrence, Guido ZucconInternational Journal on Digital Libraries
[Paper PDF]
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction
Shuai Wang, Hang Li, and Guido ZucconProceedings of the 16th ACM International Conference on Web Search and Data Mining
[Paper PDF] [Github]
AgAsk: A Conversational Search Agent for Answering Agricultural Questions
Hang Li, Bevan Koopman, Ahmed Mourad and Guido ZucconProceedings of the 16th ACM International Conference on Web Search and Data Mining
[Paper PDF] [Github]
Pseudo-Relevance Feedback with Dense Retrievers in Pyserini
Hang Li*, Shengyao Zhuang*, Xueguang Ma, Jimmy Lin and Guido ZucconProceedings of 26th Australasian Document Computing Symposium
[Paper PDF] [Github]
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido ZucconAccepted to ACM Transactions on Information Systems (TOIS).
[Paper PDF] [Github]
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 ZucconProceedings 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 ZucconProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)
[Paper PDF]
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach
Shengyao Zhuang, Hang Li and Guido ZucconProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)
[Paper PDF]
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study
Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido ZucconProceedings of the 44rd European Conference on Information Retrieval (ECIR 2022)
[Paper PDF] [Github]
MeSH Term Suggestion for Systematic Review Literature Search
Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke and Guido ZucconProceedings of 25th Australasian Document Computing Symposium
Best Student Paper Award
[Paper PDF] [Github]
Deep Query Likelihood Model for Information Retrieval
Shengyao Zhuang, Hang Li (Equal Contribution), Guido ZucconProceedings of the 43rd European Conference on Information Retrieval (ECIR 2021)
[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 LeiMobile Networks and Applications Journal (MNA 2021)
[Paper PDF]
Systematic Review Automation Tools for End-to-End Query Formulation
Hang Li, Harrisen Scells, Guido ZucconProceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)
[Paper PDF] [Github]
Datasets:
Service
Serving as the Proceeding Chair for CIKM 2021
Serving as the PC Member for Reproducibility Track at SIGIR 2022/2023
Serving as the PC Member for Resource Track at SIGIR 2022/2023