Elamur Research⌕
☰
home / authors / Shengyuan Chen

Shengyuan Chen

Shengyuan Chen has 3 papers in our library, in 2025, most of them on Language models & pretraining, Information retrieval & search, Reasoning; often with Chuang Zhou, Xiao Xia Huang, Hao Chen.

3 papers in our library · 2025

OpenAlex · h-index 7 · 37 works · 170 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 65 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7104

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

🎓York UniversityToronto · Canada2011–2026 · 14 paperscurrent🎓Hong Kong Polytechnic UniversityHong Kong · China2022–2025 · 5 papers🎓Wuhan University of Science and TechnologyWuhan · China2024–2025 · 2 papers🎓Sichuan UniversityChengdu · China2024 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation retrieval & search · 2 worksReasoning · 1 work

 Works by year

2020s

20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models (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 (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 (2025 · 9 citations)
    Graph-based RAG systems such as Microsoft GraphRAG, HippoRAG, RAPTOR, LightRAG and KGP first convert the entire corpus into a graph.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsarXiv:2501.13958Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, et al.2025 · 64 citations
  2. Taming Language Models for Text-attributed Graph Learning with Decoupled AggregationAnnual Meeting of the Association for Computational Linguistics (ACL)Chuang Zhou, Zhu Wang, Shengyuan Chen, et al.2025 · 9 citations
  3. You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning StructuresarXiv:2508.06105Shengyuan Chen, Chuang Zhou, Zheng Yuan, et al.2025 · 9 citations
  4. Query-Aware Knowledge Retrieval via Hyperbolic Structuring ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetChuang Zhou et al.2026

 Co-authors here

12 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 65 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/shengyuan-chen/