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Di Yin

Di Yin has 3 papers in our library, in 2025–2026, most of them on Reasoning, Code & programming languages, Information retrieval & search; often with Xing Sun, Chuang Zhou, Junnan Dong.

3 papers in our library · 2025–2026

OpenAlex · h-index 4 · 27 works · 70 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 58 times in our library · ⭐ Paper Stars ranking: #8584

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

🏢TencentShenzhen · China2022–2026 · 18 paperscurrent🏥Ruijin HospitalShanghai · China2026 · 1 papercurrent

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).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Networks and Communications · 1 workInformation Systems · 2 works

🧭 Topics 4Research subjects and languages the work is about.Code & programming languages · 1 workSemantic parsing & meaning representation · 1 workInformation retrieval & search · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL (2025 · 68 citations)
    Large language models often struggle with Text-to-SQL when databases have many tables and columns or when questions need several reasoning steps.
  2. Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG (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 (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.

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 58 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated

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