--- title: "Yanhua Yu — author profile and papers — Elamur Research" description: "Yanhua Yu, Beijing University of Posts and Telecommunications: 2 papers on Elamur Research (2024–2026), h-index 7 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/yanhua-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yanhua-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yanhua Yu # Yanhua Yu Yanhua Yu has 2 papers in our library, in 2024–2026, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Chao Huang](https://md.research.elamur.ai/free/en/authors/chao-huang/), [Lianghao Xia](https://md.research.elamur.ai/free/en/authors/lianghao-xia/), [Yang Deng](https://md.research.elamur.ai/free/en/authors/yang-deng/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100869537) · [ORCID](https://orcid.org/0000-0002-4137-2420) · [**h-index 7**](https://openalex.org/authors/A5100869537) · [36 works](https://openalex.org/works?filter=author.id:A5100869537) · [280 citations](https://openalex.org/works?filter=author.id:A5100869537&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yanhua-yu/#papers) · [🔗 Cited 123 times in our library](https://md.research.elamur.ai/free/en/authors/yanhua-yu/cited-by/) · [⭐ Paper Stars ranking: #4844](https://md.research.elamur.ai/free/en/paper-stars/page/49/#star-4844) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yanhua+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yanhua+Yu) · [dblp](https://dblp.org/search?q=Yanhua+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Yanhua+Yu) ## Affiliations [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2008–2026 · 33 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**Tongji University** Shanghai · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/tongji-university/) 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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yanhua-yu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yanhua-yu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[LightRAG: Simple and Fast Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/guo-2024-lightrag-simple-fast-retrieval-augmented/)** *(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](https://md.research.elamur.ai/free/en/papers/zhen-2026-hierarchical-reinforcement-learning-augmented-step/)** *(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. - [Chao Huang](https://md.research.elamur.ai/free/en/authors/chao-huang/) - [Lianghao Xia](https://md.research.elamur.ai/free/en/authors/lianghao-xia/) - [Yang Deng](https://md.research.elamur.ai/free/en/authors/yang-deng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## 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 →](https://md.research.elamur.ai/free/en/authors/yanhua-yu/cited-by/). Updated 1 November 2026