--- title: "Yonggan Fu — author profile and papers — Elamur Research" description: "Yonggan Fu, Nvidia: 2 papers on Elamur Research (2024–2026), h-index 16 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yonggan-fu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yonggan-fu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yonggan Fu # Yonggan Fu Yonggan Fu has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Yingyan Celine Lin](https://md.research.elamur.ai/free/en/authors/yingyan-celine-lin/), [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/), [Jan Kautz](https://md.research.elamur.ai/free/en/authors/jan-kautz/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5061572132) · [ORCID](https://orcid.org/0000-0002-7483-2921) · [**h-index 16**](https://openalex.org/authors/A5061572132) · [84 works](https://openalex.org/works?filter=author.id:A5061572132) · [832 citations](https://openalex.org/works?filter=author.id:A5061572132&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yonggan-fu/#papers) · [🔗 Cited 189 times in our library](https://md.research.elamur.ai/free/en/authors/yonggan-fu/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7811](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7811) 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=Yonggan+Fu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yonggan+Fu) · [dblp](https://dblp.org/search?q=Yonggan+Fu) · [ACL Anthology](https://aclanthology.org/search/?q=Yonggan+Fu) ## Affiliations [🎓**Georgia Institute of Technology** Atlanta · United States 2023–2026 · 21 papersEducation 2023–2025 · Ph.D., School of Computer Science*current*](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🏢**Nvidia** Santa Clara · United States 2025–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**Rice University** Houston · United States 2019–2022 · 32 papersEducation 2019–2022 · Ph.D., Department of Electrical and Computer Engineering](https://md.research.elamur.ai/free/en/universities/rice-university/) 🏛️**University of Science and Technology** Hefei · [China](https://md.research.elamur.ai/free/en/countries/china/) 2015–2019Education 2015–2019 · Bachelor of Science, School of the Gifted Young From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yonggan-fu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yonggan-fu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Hymba: A Hybrid-head Architecture for Small Language Models](https://md.research.elamur.ai/free/en/papers/dong-2024-hymba-hybrid-head-architecture-small/)** *(2024 · 50 citations)* Small language models must balance accuracy against memory and speed. Transformers recall context well, but their compute cost and KV cache grow quickly with sequence length. State space models such as Mamba run cheaply but recall poorly. Earlier hybrids stacked the two layer types one after another, so a weak layer… 2. **[Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute](https://md.research.elamur.ai/free/en/papers/suh-2026-think-hard-only-when-needed/)** *(2026)* Test-time compute lets small language models reason better by spending extra inference effort, but the two standard strategies have opposite costs. ## 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. **[Small Language Models are the Future of Agentic AI ↗](https://arxiv.org/abs/2506.02153) arXiv:2506.02153 · no summary yet**Peter Belcak et al.*2025 · 92 citations* 2. [**Hymba: A Hybrid-head Architecture for Small Language Models arXiv:2411.13676**Xin Dong, Yonggan Fu, Shizhe Diao, et al.*2024 · 50 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-hymba-hybrid-head-architecture-small/) 3. **[Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute](https://md.research.elamur.ai/free/en/papers/suh-2026-think-hard-only-when-needed/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hyewon Suh, Chaojian Li, Cheng-Jhih Shih, et al.*2026* 4. **[PROBE: PROcess-Based BEnchmark for Hallucination Detection ↗](https://aclanthology.org/2026.findings-acl.2099/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yu Zhang et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Yingyan Celine Lin](https://md.research.elamur.ai/free/en/authors/yingyan-celine-lin/) ×2 - [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/) - [Jan Kautz](https://md.research.elamur.ai/free/en/authors/jan-kautz/) - [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) - [Xin Dong](https://md.research.elamur.ai/free/en/authors/xin-dong/) - [Yoshi Suhara](https://md.research.elamur.ai/free/en/authors/yoshi-suhara/) - [Zheng Wang](https://md.research.elamur.ai/free/en/authors/zheng-wang/) - [Zijia Chen](https://md.research.elamur.ai/free/en/authors/zijia-chen/) ## 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/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 189 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yonggan-fu/cited-by/). Updated 1 November 2026