--- title: "Jiaming Han — author profile and papers — Elamur Research" description: "Jiaming Han, Chinese University of Hong Kong: 2 papers on Elamur Research (2023), h-index 18 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/jiaming-han/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiaming-han/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiaming Han # Jiaming Han Jiaming Han has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Aojun Zhou](https://md.research.elamur.ai/free/en/authors/aojun-zhou/), [Hongsheng Li](https://md.research.elamur.ai/free/en/authors/hongsheng-li/), [Pan Lu](https://md.research.elamur.ai/free/en/authors/pan-lu/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5005276003) · [**h-index 18**](https://openalex.org/authors/A5005276003) · [39 works](https://openalex.org/works?filter=author.id:A5005276003) · [1,149 citations](https://openalex.org/works?filter=author.id:A5005276003&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiaming-han/#papers) · [🔗 Cited 279 times in our library](https://md.research.elamur.ai/free/en/authors/jiaming-han/cited-by/) · [⭐ Paper Stars ranking: #3978](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3978) 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=Jiaming+Han) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiaming+Han) · [dblp](https://dblp.org/search?q=Jiaming+Han) · [ACL Anthology](https://aclanthology.org/search/?q=Jiaming+Han) ## Affiliations [🎓**Chinese University of Hong Kong** Hong Kong · China 2023–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Changchun University of Technology** Changchun · China 2019–2021 · 26 papers](https://ror.org/052pakb34) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2023–2024 · 6 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) 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 5 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/jiaming-han/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention](https://md.research.elamur.ai/free/en/papers/zhang-2023-llama-adapter-efficient-fine-tuning/)** *(2023 · 333 citations)* Turning an open LLM into an instruction follower usually means updating every weight. Stanford Alpaca did this for all 7B parameters of LLaMA, which is slow, expensive, and awkward to repeat for each new use case. The authors propose LLaMA-Adapter, which keeps LLaMA 7B frozen and trains only a small set of additions… 2. **[LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model](https://md.research.elamur.ai/free/en/papers/gao-2023-llama-adapter-v2-parameter-efficient/)** *(2023 · 229 citations)* Making LLaMA follow open-ended instructions about images has usually required updating billions of weights and collecting large multi-modal instruction sets, as MiniGPT-4 and LLaVA do. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Aojun Zhou](https://md.research.elamur.ai/free/en/authors/aojun-zhou/) ×2 - [Hongsheng Li](https://md.research.elamur.ai/free/en/authors/hongsheng-li/) ×2 - [Pan Lu](https://md.research.elamur.ai/free/en/authors/pan-lu/) ×2 - [Peng Gao](https://md.research.elamur.ai/free/en/authors/peng-gao/) ×2 - [Renrui Zhang](https://md.research.elamur.ai/free/en/authors/renrui-zhang/) ×2 - [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) ×2 - [Conghui He](https://md.research.elamur.ai/free/en/authors/conghui-he/) - [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/) - [Xiangyu Yue](https://md.research.elamur.ai/free/en/authors/xiangyu-yue/) ## Cited by Papers of our library cite their works 279 times (of the 149,439 papers whose bibliographies we read); [80 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiaming-han/cited-by/). Updated 2 November 2026