--- title: "Yingcai Wu · Zhejiang University — author profile and papers" description: "Yingcai Wu, Zhejiang University: 2 papers on Elamur Research (2026), h-index 44 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/yingcai-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yingcai-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yingcai Wu # Yingcai Wu Yingcai Wu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Dazhen Deng](https://md.research.elamur.ai/free/en/authors/dazhen-deng/), [Kai Xiong](https://md.research.elamur.ai/free/en/authors/kai-xiong/), [Kun Chen](https://md.research.elamur.ai/free/en/authors/kun-chen/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5073986937) · [ORCID](https://orcid.org/0000-0002-1119-3237) · [Wikidata](https://www.wikidata.org/wiki/Q130825290) · [**h-index 44**](https://openalex.org/authors/A5073986937) · [236 works](https://openalex.org/works?filter=author.id:A5073986937) · [6,417 citations](https://openalex.org/works?filter=author.id:A5073986937&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yingcai-wu/#papers) · [⭐ Paper Stars ranking: #14063](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14063) 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=Yingcai+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yingcai+Wu) · [dblp](https://dblp.org/search?q=Yingcai+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Yingcai+Wu) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2015–2026 · 218 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2006–2025 · 25 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🔬**Zhejiang Lab** Hangzhou · China 2020–2024 · 15 papers](https://md.research.elamur.ai/free/en/labs/zhejiang-lab/) · [🎓**University of California, Davis** Davis · United States 2010–2012 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-davis/) · [🏢**Microsoft Research Asia** Beijing · China 2012–2015 · 8 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🏢**Alibaba Group** Hangzhou · China 2022 · 5 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Microsoft** Redmond · United States 2013–2014 · 4 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yingcai-wu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data](https://md.research.elamur.ai/free/en/papers/xiong-2026-puzzleclone-dsl-powered-framework-synthesizing/)** *(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](https://md.research.elamur.ai/free/en/papers/zheng-2026-stealthgraph-exposing-domain-specific-risks/)** *(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. - [Dazhen Deng](https://md.research.elamur.ai/free/en/authors/dazhen-deng/) - [Kai Xiong](https://md.research.elamur.ai/free/en/authors/kai-xiong/) - [Kun Chen](https://md.research.elamur.ai/free/en/authors/kun-chen/) - [Sen Yang](https://md.research.elamur.ai/free/en/authors/sen-yang/) - [Shouling Ji](https://md.research.elamur.ai/free/en/authors/shouling-ji/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 2 November 2026