Hang Li

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PhD student, UQ, AgAsk - A Question-Answering Conversational Agent for Data-Driven Growing Decisions.

Publications

• Shuai Wang and Hang Li and Guido Zuccon. 2023. MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction. In The 16th ACM International Conference on Web Search and Data Mining.
• Hang Li and Bevan Koopman and Ahmed Mourad and Guido Zuccon. 2023. AgAsk: A Conversational Search Agent for Answering Agricultural Questions. In The 16th ACM International Conference on Web Search And Data Mining.
• Hang Li and Ahmed Mourad and Shengyao Zhuang and Bevan Koopman and Guido Zuccon. 2022. Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. In Accepted by the ACM Transactions on Information Systems (TOIS).
• Hang Li and Ahmed Mourad and Bevan Koopman and Guido Zuccon. 2022. How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR' 22).
• Hang Li and Shuai Wang and Shengyao Zhuang and Ahmed Mourad and xueguang-ma and jimmy-lin and Guido Zuccon. 2022. To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR' 22).
• Hang Li and Shengyao Zhuang and Ahmed Mourad and Xueguang Ma and Jimmy Lin and Guido Zuccon. 2022. Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. In Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022).
• Hang Li and Shengyao Zhuang and Xueguang Ma and Jimmy Lin and Guido Zuccon. 2022. Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. In Proceedings of the 26th Australasian Document Computing Symposium (ADCS 2022).
• Shengyao Zhuang and Hang Li and Guido Zuccon. 2022. Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. In The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22).
• Shuai Wang and Hang Li and Harry Scells and Daniel Locke and Guido Zuccon. 2021. MeSH Term Suggestion for Systematic Review Literature Search. In Australasian Document Computing Symposium (ADCS 2021).
• Zhijun Yang and Yang Wang and Jianhou Gan and Hang Li and Ning Lei. 2021. Design and Research of Intelligent Question-Answering (Q&A) System Based on High School Course Knowledge Graph. In Mobile Networks and Applications Journal (MNA 2021).
• Shengyao Zhuang and Hang Li and Guido Zuccon. 2021. Deep Query Likelihood Model for Information Retrieval. In 43rd European Conference on IR Research.
• Shengyao Zhuang and Hang Li and Shuai Wang and Guido Zuccon. 2021. IELAB at TREC Deep Learning Track 2021. In TREC 2021 Deep Learning Track.
• Hang Li and Harry Scells and Guido Zuccon. 2020. Systematic Review Automation Tools for End-to-End Query Formulation. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20).
• Sebastian Cross and Hang Li and Shengyao Zhuang and Ahmed Mourad and Bevan Koopman and Guido Zuccon. 2020. UQ IElab at TREC 2020 CAsT Track. In TREC 2020 Decision Track.