--- title: "Daocheng Fu · Fudan University — author profile and papers" description: "Daocheng Fu, Fudan University: 2 papers on Elamur Research (2025–2026), h-index 14 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/daocheng-fu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daocheng-fu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daocheng Fu # Daocheng Fu Daocheng Fu has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Botian Shi](https://md.research.elamur.ai/free/en/authors/botian-shi/), [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/), [Fanqing Meng](https://md.research.elamur.ai/free/en/authors/fanqing-meng/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5051629595) · [ORCID](https://orcid.org/0000-0001-5660-5904) · [**h-index 14**](https://openalex.org/authors/A5051629595) · [55 works](https://openalex.org/works?filter=author.id:A5051629595) · [772 citations](https://openalex.org/works?filter=author.id:A5051629595&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daocheng-fu/#papers) · [🔗 Cited 49 times in our library](https://md.research.elamur.ai/free/en/authors/daocheng-fu/cited-by/) · [⭐ Paper Stars ranking: #9728](https://md.research.elamur.ai/free/en/paper-stars/page/98/#star-9728) 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=Daocheng+Fu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daocheng+Fu) · [dblp](https://dblp.org/search?q=Daocheng+Fu) · [ACL Anthology](https://aclanthology.org/search/?q=Daocheng+Fu) ## Affiliations [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2023–2026 · 26 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Fudan University** Shanghai · China 2025–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Beihang University** Beijing · China 2019–2024 · 9 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) 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 5 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/daocheng-fu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/daocheng-fu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/meng-2025-mm-eureka-exploring-frontiers-multimodal/)** *(2025 · 49 citations)* Rule-based reinforcement learning in the style of DeepSeek-R1 has greatly improved text-only reasoning. Earlier attempts to bring it to vision-language models used small models and easy tasks, and their training often became unstable. The authors address this with two contributions. The first is MMK12, a multimodal… 2. **[Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement](https://md.research.elamur.ai/free/en/papers/yang-2026-self-evolving-agents-enabling-autonomy/)** *(2026)* LLM-based agents usually stay fixed once deployed. They cannot learn from earlier attempts, which hurts them on long, multi-application productivity tasks that may take over a hundred steps. The authors propose MUSE (Memory-Utilizing and Self-Evolving), a framework that improves at test time without any fine-tuning.… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Botian Shi](https://md.research.elamur.ai/free/en/authors/botian-shi/) ×2 - [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/) - [Fanqing Meng](https://md.research.elamur.ai/free/en/authors/fanqing-meng/) - [Jia Xu](https://md.research.elamur.ai/free/en/authors/jia-xu/) - [Kaipeng Zhang](https://md.research.elamur.ai/free/en/authors/kaipeng-zhang/) - [Ping Luo](https://md.research.elamur.ai/free/en/authors/ping-luo/) - [Quanfeng Lu](https://md.research.elamur.ai/free/en/authors/quanfeng-lu/) - [Wenhai Wang](https://md.research.elamur.ai/free/en/authors/wenhai-wang/) - [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) ## 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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 49 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daocheng-fu/cited-by/). Updated 3 November 2026