--- title: "Yifan Wu — author profile and papers — Elamur Research" description: "Yifan Wu, Hong Kong University of Science and Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/yifan-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifan-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yifan Wu # Yifan Wu Yifan Wu has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bang Liu](https://md.research.elamur.ai/free/en/authors/bang-liu/), [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/), [Jiayi Zhang](https://md.research.elamur.ai/free/en/authors/jiayi-zhang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139739058) · [**h-index 0**](https://openalex.org/authors/A5139739058) · [5 works](https://openalex.org/works?filter=author.id:A5139739058) · [0 citations](https://openalex.org/works?filter=author.id:A5139739058&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yifan-wu/#papers) · [⭐ Paper Stars ranking: #14052](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14052) 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=Yifan+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yifan+Wu) · [dblp](https://dblp.org/search?q=Yifan+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Yifan+Wu) ## Affiliations [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yifan-wu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Concise Math Reasoning via Difficulty-Aware Distillation](https://md.research.elamur.ai/free/en/papers/wu-2026-concise-math-reasoning-difficulty-aware/)** *(2026)* Distilling reasoning from large models such as DeepSeek-R1 usually gives small students very long chain-of-thought traces. 2. **[From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-experience-skill-multi-agent-generative/)** *(2026)* Generative engines now answer queries with synthesized, cited responses rather than ranked links. Web creators therefore need Generative Engine Optimization (GEO), but existing GEO methods tune each document separately and keep no record of what worked. The authors treat GEO as a strategy learning problem and… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Bang Liu](https://md.research.elamur.ai/free/en/authors/bang-liu/) - [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/) - [Jiayi Zhang](https://md.research.elamur.ai/free/en/authors/jiayi-zhang/) - [Yifu Guo](https://md.research.elamur.ai/free/en/authors/yifu-guo/) - [Yuyu Luo](https://md.research.elamur.ai/free/en/authors/yuyu-luo/) - [Zhaoyang Yu](https://md.research.elamur.ai/free/en/authors/zhaoyang-yu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 Updated 2 November 2026