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Yan Zheng

Yan Zheng has 2 papers in our library, in 2025, most of them on Information retrieval & search, Question answering, Reasoning; often with Bo Wang, Chia-Yuan Chang, Fuzheng Zhang.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 17 · 80 works · 1,232 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 39 times in our library · ⭐ Paper Stars ranking: #7068

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Tianjin UniversityTianjin · China2014–2026 · 50 paperscurrent🎓National University of Defense TechnologyChangsha · China2026 · 2 paperscurrent🎓Nanyang Technological UniversitySingapore · Singapore2020–2022 · 7 papers🎓Northwest Normal UniversityLanzhou · China2023–2024 · 3 papers🏢State Grid Corporation of ChinaBeijing · China2019–2024 · 3 papers🎓Harbin Normal UniversityHarbin · China2020–2022 · 3 papers🎓Ningbo University of TechnologyNingbo · China2012–2018 · 3 papers🏥St. Jude Children's Research HospitalMemphis · United States2018–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 2 worksQuestion answering · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation (2025 · 65 citations)
    Retrieval-augmented generation can be undermined by retrieved passages that are off-topic or misleading. Such passages lower answer quality and add inference cost. MAIN-RAG is a post-retrieval filtering framework that needs no training or fine-tuning and runs on top of a standard retriever. It uses three LLM agents:
  2. DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering (2025 · 20 citations)
    Multi-hop question answering requires a model to chain several reasoning steps, and the facts it needs change as the reasoning unfolds.

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 39 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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