--- title: "Qiwei Ye — author profile and papers — Elamur Research" description: "Qiwei Ye, Beijing Academy of Artificial Intelligence: 2 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/qiwei-ye/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qiwei-ye/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qiwei Ye # Qiwei Ye Qiwei Ye 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Boya Wu](https://md.research.elamur.ai/free/en/authors/boya-wu/), [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/), [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5030024099) · [**h-index 2**](https://openalex.org/authors/A5030024099) · [9 works](https://openalex.org/works?filter=author.id:A5030024099) · [89 citations](https://openalex.org/works?filter=author.id:A5030024099&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qiwei-ye/#papers) · [🔗 Cited 45 times in our library](https://md.research.elamur.ai/free/en/authors/qiwei-ye/cited-by/) · [⭐ Paper Stars ranking: #9055](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9055) 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=Qiwei+Ye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qiwei+Ye) · [dblp](https://dblp.org/search?q=Qiwei+Ye) · [ACL Anthology](https://aclanthology.org/search/?q=Qiwei+Ye) ## Affiliations [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 1 work](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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) 🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [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 [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/qiwei-ye/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/qiwei-ye/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Long Context Compression with Activation Beacon](https://md.research.elamur.ai/free/en/papers/zhang-2024-long-context-compression-activation-beacon/)** *(2024 · 47 citations)* Long inputs are costly for transformer LLMs. Self-attention cost grows quadratically, and holding the KV cache for the whole sequence takes a lot of GPU memory. Earlier context compression methods have several weaknesses: 2. **[STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding](https://md.research.elamur.ai/free/en/papers/xiao-2026-stella-multimodal-llm-protein-functional/)** *(2026 · 2 citations)* STELLA addresses protein functional annotation. Protein language models capture biophysical signals well but seldom connect them to the textual knowledge that describes what a protein does. Earlier protein–text multimodal LLMs used separate sequence and structure encoders, which needed fusion layers. STELLA instead… ## Co-authors here 8 co-authors with a page, the most papers together first. - [Boya Wu](https://md.research.elamur.ai/free/en/authors/boya-wu/) - [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/) - [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/) - [Peitian Zhang](https://md.research.elamur.ai/free/en/authors/peitian-zhang/) - [Shitao Xiao](https://md.research.elamur.ai/free/en/authors/shitao-xiao/) - [Xi Chen](https://md.research.elamur.ai/free/en/authors/xi-chen/) - [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/) - [Zhicheng Dou](https://md.research.elamur.ai/free/en/authors/zhicheng-dou/) ## 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 45 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qiwei-ye/cited-by/). Updated 2 November 2026