--- title: "Shengyuan Chen · York University — author profile and papers" description: "Shengyuan Chen, York University: 4 papers on Elamur Research (2025–2026), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/shengyuan-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shengyuan-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shengyuan Chen # Shengyuan Chen Shengyuan Chen has 4 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/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5004805571) · [**h-index 7**](https://openalex.org/authors/A5004805571) · [37 works](https://openalex.org/works?filter=author.id:A5004805571) · [170 citations](https://openalex.org/works?filter=author.id:A5004805571&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/shengyuan-chen/#papers) · [🔗 Cited 65 times in our library](https://md.research.elamur.ai/free/en/authors/shengyuan-chen/cited-by/) · [⭐ Paper Stars ranking: #8289](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8289) 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=Shengyuan+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shengyuan+Chen) · [dblp](https://dblp.org/search?q=Shengyuan+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Shengyuan+Chen) ## Affiliations [🎓**York University** Toronto · Canada 2011–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/york-university/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2022–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Wuhan University of Science and Technology** Wuhan · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/wuhan-university-of-science-and-technology/) · [🎓**Sichuan University** Chengdu · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 3 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/shengyuan-chen/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/shengyuan-chen/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. **[Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation](https://md.research.elamur.ai/free/en/papers/zhou-2025-taming-language-models-text-attributed/)** *(2025 · 9 citations)* Text-attributed graphs (TAGs) are graphs whose nodes carry text and whose edges encode relations. Learning on them usually follows a two-stage cascade: a language model produces frozen node embeddings, and a GNN is then trained on those embeddings. The authors argue that this split ignores how text and topology… 3. **[You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures](https://md.research.elamur.ai/free/en/papers/chen-2025-don-t-need-pre-built/)** *(2025 · 9 citations)* Graph-based RAG systems such as Microsoft GraphRAG, HippoRAG, RAPTOR, LightRAG and KGP first convert the entire corpus into a graph. 4. **[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 15 co-authors with a page, the most papers together first. - [Chuang Zhou](https://md.research.elamur.ai/free/en/authors/chuang-zhou/) ×4 - [Xiao Xia Huang](https://md.research.elamur.ai/free/en/authors/xiao-xia-huang/) ×4 - [Yilin Xiao](https://md.research.elamur.ai/free/en/authors/yilin-xiao/) ×3 - [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/) ×2 - [Junnan Dong](https://md.research.elamur.ai/free/en/authors/junnan-dong/) ×2 - [Qinggang Zhang](https://md.research.elamur.ai/free/en/authors/qinggang-zhang/) ×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 - [di Yin](https://md.research.elamur.ai/free/en/authors/di-yin/) - [Huachi Zhou](https://md.research.elamur.ai/free/en/authors/huachi-zhou/) - [Jiahe Du](https://md.research.elamur.ai/free/en/authors/jiahe-du/) - [Xing Sun](https://md.research.elamur.ai/free/en/authors/xing-sun/) ## 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/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 65 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shengyuan-chen/cited-by/). Updated 2 November 2026