--- title: "Hanlin Gu — author profile and papers — Elamur Research" description: "Hanlin Gu, Hong Kong University of Science and Technology: 2 papers on Elamur Research (2025–2026), h-index 11 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/hanlin-gu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hanlin-gu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hanlin Gu # Hanlin Gu Hanlin Gu has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/), [Qiang Yang](https://md.research.elamur.ai/free/en/authors/qiang-yang/), [Tao Fan](https://md.research.elamur.ai/free/en/authors/tao-fan/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5046115188) · [ORCID](https://orcid.org/0000-0001-8266-4561) · [**h-index 11**](https://openalex.org/authors/A5046115188) · [59 works](https://openalex.org/works?filter=author.id:A5046115188) · [535 citations](https://openalex.org/works?filter=author.id:A5046115188&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hanlin-gu/#papers) · 🔗 Cited 6 times in our library · [⭐ Paper Stars ranking: #11174](https://md.research.elamur.ai/free/en/paper-stars/page/112/#star-11174) 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=Hanlin+Gu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hanlin+Gu) · [dblp](https://dblp.org/search?q=Hanlin+Gu) · [ACL Anthology](https://aclanthology.org/search/?q=Hanlin+Gu) ## Affiliations [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2018–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) 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 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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 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/hanlin-gu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/hanlin-gu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models](https://md.research.elamur.ai/free/en/papers/fan-2025-fedmkt-federated-mutual-knowledge-transfer/)** *(2025 · 10 citations)* Federated work on LLMs has mostly followed two separate tracks. In one, clients jointly fine-tune identical LLMs. In the other, a server-side LLM teaches small language models (SLMs) on clients. Neither improves the server LLM and the client SLMs together. FedMKT, a parameter-efficient framework, makes knowledge flow… 2. **[LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape Elevation](https://md.research.elamur.ai/free/en/papers/zhong-2026-lleot-privacy-enhancing-offsite-tuning/)** *(2026)* Offsite Tuning (OT) lets a data owner adapt a proprietary LLM without either side sharing its assets. The model owner sends a reduced "emulator", the data owner trains an adapter on private data, and the adapter is plugged back into the original model. The authors point out a gap: emulators built by OT, CRaSh or… ## Co-authors here 4 co-authors with a page, the most papers together first. - [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/) - [Qiang Yang](https://md.research.elamur.ai/free/en/authors/qiang-yang/) - [Tao Fan](https://md.research.elamur.ai/free/en/authors/tao-fan/) - [Yuanfeng Song](https://md.research.elamur.ai/free/en/authors/yuanfeng-song/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [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 6 times (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026