Search agents · 2026
SkimSearchAgent
A research library for deep-search agents, connecting retrieval, tools, agent workflows and reproducible evaluation.
Information Retrieval · The University of Queensland
Dr. Shuai Wang is a Research Fellow at ielab, The University of Queensland. He works on information retrieval, search agents, retrievers and rerankers, biomedical evidence search and efficient RAG systems, with papers at SIGIR, WSDM, WWW, ECIR, EMNLP and EACL. He completed his PhD at UQ in 2025 under the supervision of Prof. Guido Zuccon, A/Prof. Bevan Koopman and Dr. Harrisen Scells, and is Course Coordinator and Lecturer for INFS7410.
24 first or co-first author papers →Search agents · 2026
A research library for deep-search agents, connecting retrieval, tools, agent workflows and reproducible evaluation.
Search agents · 2026
Boolean search narrows the candidates, inspection exposes document structure, and fetch reads only the selected sections.
Search agents · 2026
Agent search history conditions the query; document interactions provide the signals for training the retriever.
Retrievers and rerankers · 2026
Parallel masked positions in a diffusion language model produce multiple representations for dense and sparse retrieval.
Retrievers and rerankers · 2026
A unified framework for comparing document segmentation and embedding strategies across retrieval tasks.
Retrievers and rerankers · 2024
Comparing stemming techniques and examining the promises and limitations of language models for stemming.
Biomedical search · 2023
Generating natural-language queries from Boolean queries to improve systematic review screening prioritisation.
Agent memory · 2026
Comparing constructed long-term memories with retrieval over raw user turns under matched evaluation settings.
Robustness & security · 2026
Following prompt-injection attacks through retrieval, reranking and answer generation in realistic RAG settings.
Robustness & security · 2026
A reproducibility study examining the vulnerability of LLM rankers to prompt-injection attacks.
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