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Yanhua Yu

Yanhua Yu has 2 papers in our library, in 2024–2026, most of them on Information retrieval & search; often with Chao Huang, Lianghao Xia, Yang Deng.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 7 · 36 works · 280 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 123 times in our library · ⭐ Paper Stars ranking: #4844

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

🎓Beijing University of Posts and TelecommunicationsBeijing · China2008–2026 · 33 paperscurrent🎓Tongji UniversityShanghai · China2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information retrieval & search · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Retrieval-augmented generation · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LightRAG: Simple and Fast Retrieval-Augmented Generation (2024 · 316 citations)
    Standard RAG pipelines index text as isolated chunks. When a question involves several linked concepts, the retrieved pieces often produce a disjointed answer. LightRAG (Guo et al., BUPT and University of Hong Kong) addresses this by building a knowledge graph at indexing time. Documents are split into chunks, an LLM…
  2. Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM Agents (2026 · 1 citation)
    LLM agents that solve multi-step interactive tasks usually feed the model the entire, ever-growing record of past observations and actions.

 Co-authors here

3 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 123 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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