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Yingcai Wu

Yingcai Wu has 2 papers in our library, in 2026, most of them on Language models & pretraining, Knowledge graphs & ontologies, Bias, fairness & safety; often with Dazhen Deng, Kai Xiong, Kun Chen.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 44 · 236 works · 6,417 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #14063

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

🎓Zhejiang UniversityHangzhou · China2015–2026 · 218 paperscurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2006–2025 · 25 papers🔬Zhejiang LabHangzhou · China2020–2024 · 15 papers🎓University of California, DavisDavis · United States2010–2012 · 9 papers🏢Microsoft Research AsiaBeijing · China2012–2015 · 8 papers🏢Alibaba GroupHangzhou · China2022 · 5 papers🏢MicrosoftRedmond · United States2013–2014 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 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. PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data (2026)
    Reasoning datasets with checkable answers are needed to train LLMs, but manually written puzzle collections are small.
  2. StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation (2026)
    LLMs used in specialized fields such as medicine or finance need safety tests, but domain-specific harmful-prompt collections are scarce.

 Co-authors here

5 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.

Updated

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