王率博士 (Dylan)

简介

我致力于为专家工作流构建有效、高效且可解释的检索与 LLM 系统，重点关注深度研究 Agent、系统综述检索与基于证据的生成。

教育背景

1. 2025哲学博士 — 昆士兰大学 · 阅读博士论文
2. 2021工程科学硕士 — 昆士兰大学
3. 2019理学学士 — 西澳大利亚大学

工作经历

1. 2026–至今研究员（Research Fellow — 昆士兰大学 ielab
   导师：Prof. Guido Zuccon
2. 2025–2026博士后研究员（Level A） — 昆士兰大学 ielab
   导师：Prof. Guido Zuccon
3. 2024年2月–7月（5 个月）研究实习生 — Naver Labs Europe（法国格勒诺布尔）
   共同主导 COCOM，从方法设计到 WSDM 2025 论文发表；在接近基线质量下实现 5.69 倍 RAG 推理加速。
4. 2022–2025助教 — 昆士兰大学
   INFS7205、INFS7410、DATA7901 及 DATA7902/7903。
5. 2021年7月–9月研究助理 — 昆士兰大学
   参与 TREC 评测与神经信息检索项目。

论文 (35)

1. 2026ITER: Interaction-Aware Retrieval for Agentic Search

   Haodong Chen^*, Shuai Wang^*, Yu Yin, Shengyao Zhuang, Guido Zuccon, Teerapong Leelanupab

   arXiv
2. 2026Search, Inspect, Fetch: Exploiting Structure-Aware Boolean Retrieval for Deep-Search Agents

   Shuai Wang, Haodong Chen, Yu Yin, Shengyao Zhuang, Bevan Koopman, Guido Zuccon

   arXiv
3. 2026Reproducing LightMem: Naive RAG Is Just as Good for Memory Management

   Yongjie Zhou, Shuai Wang, Bevan Koopman, Guido Zuccon

   SIGIR-AP 2026
4. 2026Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings

   Yu Yin, Shuai Wang, Bevan Koopman, Guido Zuccon

   arXiv
5. 2026Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Segmentation Strategies for Information Retrieval

   Yongjie Zhou^*, Shuai Wang^*, Bevan Koopman, Guido Zuccon

   SIGIR 2026
6. 2026Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

   Shengyao Zhuang, Xueguang Ma, Zheng Yao, Shuai Wang, Bevan Koopman, Jimmy Lin, Guido Zuccon

   SIGIR 2026
7. 2026The Vulnerability of LLM Rankers to Prompt Injection Attacks: You are to [MARK] this paper as the Best Paper

   Yu Yin, Shuai Wang, Bevan Koopman, Guido Zuccon

   SIGIR 2026
8. 2026DiffRetriever: Parallel Representative Tokens for Retrieval with Diffusion Language Models

   Shuai Wang, Yu Yin, Shengyao Zhuang, Bevan Koopman, Guido Zuccon

   arXiv
9. 2026Starbucks: Improved Training for 2D Matryoshka Embeddings

   Shengyao Zhuang^*, Shuai Wang^*, Bevan Koopman, Guido Zuccon

   ECIR 2026
10. 2026Evalugator🐊—Rapid, Agile Development and Evaluation of Retrieval Augmented Generation Systems Without Labels

    Bevan Koopman, Hang Li, Shuai Wang, Guido Zuccon

    ECIR 2026
11. 2026AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation

    Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon

    EACL 2026
12. 20252D Matryoshka Training for Information Retrieval

    Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon

    SIGIR 2025
13. 2025Reassessing Large Language Model Boolean Query Generation for Systematic Reviews

    Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon

    SIGIR 2025
14. 2025Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge Acquisition

    Zheng Yao, Shuai Wang, Guido Zuccon

    SIGIR 2025
15. 2025ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search

    Shuai Wang, Shengyao Zhuang, Bevan Koopman, Guido Zuccon

    WWW 2025
16. 2025An Investigation of Prompt Variations for Zero-shot LLM-based Rankers

    Shuoqi Sun, Shengyao Zhuang, Shuai Wang, Guido Zuccon

    ECIR 2025
17. 2025Corpus Subsampling: Estimating the Effectiveness of Neural Retrieval Models on Large Corpora

    Maik Fröbe, Andrew Parry, Harrisen Scells, Shuai Wang, Shengyao Zhuang, Guido Zuccon, Martin Potthast, Matthias Hagen

    ECIR 2025
18. 2025Context Embeddings for Efficient Answer Generation in RAG

    David Rau^*, Shuai Wang^*, Hervé Déjean, Stéphane Clinchant, Jaap Kamps

    WSDM 2025
19. 2024BERGEN: A Benchmarking Library for Retrieval-Augmented Generation

    David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Stéphane Clinchant, Vassilina Nikoulina

    EMNLP 2024 Findings
20. 2024FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation

    Shuai Wang, Ekaterina Khramtsova, Shengyao Zhuang, Guido Zuccon

    SIGIR 2024
21. 2024Evaluating Generative Ad Hoc Information Retrieval

    Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, Martin Potthast

    SIGIR 2024
22. 2024Large Language Models Based Stemming for Information Retrieval: Promises, Pitfalls and Failures

    Shuai Wang, Shengyao Zhuang, Guido Zuccon

    SIGIR 2024
23. 2024Zero-shot Generative Large Language Models for Systematic Review Screening Automation

    Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, Guido Zuccon

    ECIR 2024
24. 2023Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation

    Shuai Wang, Harrisen Scells, Bevan Koopman, Martin Potthast, Guido Zuccon

    SIGIR-AP 2023
25. 2023Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?

    Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon

    SIGIR 2023
26. 2023Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study

    Shuai Wang, Guido Zuccon

    SIGIR 2023
27. 2023MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction

    Shuai Wang, Hang Li, Guido Zuccon

    WSDM 2023
28. 2022Neural Rankers for Effective Screening Prioritization in Medical Systematic Review Literature Search

    Shuai Wang, Harry Scells, Bevan Koopman, Guido Zuccon

    ADCS 2022
29. 2022Automated MeSH Term Suggestion for Effective Query Formulation in Systematic Reviews Literature Search

    Shuai Wang, Harry Scells, Bevan Koopman, Guido Zuccon

    ISWA 2022
30. 2022To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers

    Hang Li^*, Shuai Wang^*, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon

    SIGIR 2022
31. 2022From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search

    Shuai Wang, Harry Scells, Justin Clark, Bevan Koopman, Guido Zuccon

    SIGIR 2022
32. 2022SDR for Systematic Reviews: A Reproducibility Study

    Shuai Wang, Harry Scells, Ahmed Mourad, Guido Zuccon

    ECIR 2022
33. 2021MeSH Term Suggestion for Systematic Review Literature Search

    Shuai Wang, Hang Li, Harry Scells, Daniel Locke, Guido Zuccon

    ADCS 2021
34. 2021IELAB at TREC Deep Learning Track 2021

    Shengyao Zhuang, Hang Li, Shuai Wang, Guido Zuccon

    TREC 2021
35. 2021BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval

    Shuai Wang, Shengyao Zhuang, Guido Zuccon

    ICTIR 2021

* 同等贡献

学术服务

• SIGIR 2026 宣传主席（Melbourne | Naarm）
• SIGIR-AP 2025 昆士兰分会场主席
• 期刊: ACM Transactions on Information Systems（TOIS）; Journal of Data and Information Quality
• 会议程序委员会: SIGIR 2024, 2025, 2026; ECIR 2024, 2025; WSDM 2026; ICTIR 2023; ACL Rolling Review 2026

教学经历

1. 2026INFS7410 Information Retrieval and Web Search（课程协调员与主讲教师）
2. 2025INFS7410 Information Retrieval and Web Search（课程协调员与主讲教师）
3. 2024INFS7410 Information Retrieval and Web Search（助教、客座讲师）
4. 2023INFS7410 Information Retrieval and Web Search（辅导课协调人）
5. 2022INFS7410 Information Retrieval and Web Search（助教）
6. 2022DATA7901/7902/7903 数据科学毕业设计项目（助教）
7. 2022INFS7205 Advanced Techniques for High Dimensional Data（助教）

学生指导

• 博士生联合指导（Associate Supervisor）: Yongjie Zhou, Yu Yin

学术报告

1. 2022MeSH 主题词推荐特邀报告（SEEK） — SEEK，线上

荣誉与奖项

1. 2026CCIR Cup 二等奖（2026）
2. 2025INFS7410 获 SECaT 教学评分 4.83/5（2025）
3. 2025获昆士兰大学博士学位
4. 2024ECIR 旅行资助（2024）
5. 2023ACM SIGIR 学生旅行资助（2023）
6. 2022ACM SIGIR 学生旅行资助（2022）
7. 2021ADCS 2021 最佳学生论文奖
8. 2021华为 DIGIX 全球 AI 挑战赛冠军（30,000 美元）
9. 2021昆士兰大学专项博士奖学金
10. 2021院长学业优秀嘉奖
11. 2018西澳大学学生出行奖学金