--- title: "Junnan Dong — author profile and papers — Elamur Research" description: "Junnan Dong, Tencent: 3 papers on Elamur Research (2025–2026), h-index 11 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/junnan-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junnan-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Junnan Dong # Junnan Dong Junnan Dong has 3 papers in our library, in 2025–2026, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chuang Zhou](https://md.research.elamur.ai/free/en/authors/chuang-zhou/), [Xiao Xia Huang](https://md.research.elamur.ai/free/en/authors/xiao-xia-huang/), [Yilin Xiao](https://md.research.elamur.ai/free/en/authors/yilin-xiao/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5038326486) · [ORCID](https://orcid.org/0000-0003-2117-6083) · [Wikidata](https://www.wikidata.org/wiki/Q130842179) · [**h-index 11**](https://openalex.org/authors/A5038326486) · [40 works](https://openalex.org/works?filter=author.id:A5038326486) · [280 citations](https://openalex.org/works?filter=author.id:A5038326486&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/junnan-dong/#papers) · [🔗 Cited 50 times in our library](https://md.research.elamur.ai/free/en/authors/junnan-dong/cited-by/) · [⭐ Paper Stars ranking: #8663](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8663) 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=Junnan+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junnan+Dong) · [dblp](https://dblp.org/search?q=Junnan+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Junnan+Dong) ## Affiliations [🏢**Tencent** Shenzhen · China 2025–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🏥**Ruijin Hospital** Shanghai · China 2026 · 1 paper*current*](https://ror.org/01hv94n30) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2022–2025 · 17 papersEducation 2022–2025 · Ph.D., Department of ComputingEmployment](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Shaanxi Normal University** Xi'an · China 2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/shaanxi-normal-university/) 🏛️**Tencent Youtu Lab** Shanghai · [China](https://md.research.elamur.ai/free/en/countries/china/) 2025Employment since 2025 · Senior Researcher From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 2 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/junnan-dong/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/junnan-dong/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-survey-graph-retrieval-augmented-generation/)** *(2025 · 64 citations)* General-purpose LLMs often fall short in specialized fields. Their domain knowledge is shallow, they struggle with long chains of rule-bound reasoning, and they misread terms whose meaning depends on context. Fine-tuning on domain data can introduce hallucinations and catastrophic forgetting. Classic RAG avoids… 2. **[Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-collision-cognition-hash-driven-graph/)** *(2026)* GraphRAG systems handle multi-hop questions better than flat dense retrieval, but building their graphs is costly. 3. **[Query-Aware Knowledge Retrieval via Hyperbolic Structuring](https://md.research.elamur.ai/free/en/papers/zhou-2026-query-aware-knowledge-retrieval-hyperbolic/)** *(2026)* Graph-based retrieval-augmented generation (GraphRAG) usually builds one fixed graph over a corpus, using heuristics like entity co-occurrence or clustering. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Chuang Zhou](https://md.research.elamur.ai/free/en/authors/chuang-zhou/) ×3 - [Xiao Xia Huang](https://md.research.elamur.ai/free/en/authors/xiao-xia-huang/) ×3 - [Yilin Xiao](https://md.research.elamur.ai/free/en/authors/yilin-xiao/) ×3 - [di Yin](https://md.research.elamur.ai/free/en/authors/di-yin/) ×2 - [Shengyuan Chen](https://md.research.elamur.ai/free/en/authors/shengyuan-chen/) ×2 - [Xing Sun](https://md.research.elamur.ai/free/en/authors/xing-sun/) ×2 - [Zhaozhuo Xu](https://md.research.elamur.ai/free/en/authors/zhaozhuo-xu/) ×2 - [Zheng Yuan](https://md.research.elamur.ai/free/en/authors/zheng-yuan/) ×2 - [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/) - [Huachi Zhou](https://md.research.elamur.ai/free/en/authors/huachi-zhou/) - [Linhao Luo](https://md.research.elamur.ai/free/en/authors/linhao-luo/) - [Qinggang Zhang](https://md.research.elamur.ai/free/en/authors/qinggang-zhang/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 50 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junnan-dong/cited-by/). Updated 2 November 2026