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Weining Qian

Weining Qian has 2 papers in our library, in 2026, most of them on Language models & pretraining, Knowledge graphs & ontologies, Information retrieval & search; often with Yunshi Lan, Xinyuan Li.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 25 · 281 works · 3,956 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11725

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

🎓East China Normal UniversityShanghai · China2007–2026 · 194 paperscurrent🎓Fudan UniversityShanghai · China2000–2007 · 39 papers🎓East China Jiaotong UniversityNanchang · China2007–2010 · 11 papers🔬Shanghai Key Laboratory of Trustworthy ComputingShanghai · China2009–2015 · 8 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 1 workKnowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented Generation (2026 · 1 citation)
    TagRAG addresses weaknesses of graph-based retrieval-augmented generation on query-focused summarization, where answers require a global view of a whole corpus.
  2. Diff4TST: Masked Diffusion Language Model for Text Style Transfer (2026)
    Diff4TST addresses text style transfer (TST): rewriting a text into a target style while keeping its meaning.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph ↗IEEE/ACM Transactions on Audio Speech and Language Processing · no summary yetPeng Fei Zhu et al.2022 · 54 citations
  2. Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions ↗arXiv:2402.13647 · no summary yetLei Pan et al.2024 · 9 citations
  3. TagRAG: Tag-guided Hierarchical Knowledge Graph Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsWenbiao Tao, Xinyuan Li, Yunshi Lan, et al.2026 · 1 citation
  4. Diff4TST: Masked Diffusion Language Model for Text Style TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Xinchen Ma, Gaole He, Yunshi Lan, et al.2026

 Co-authors here

2 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 9 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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