--- title: "Baoyuan Qi — author profile and papers — Elamur Research" description: "Baoyuan Qi, Xiaomi: 2 papers on Elamur Research (2025), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/baoyuan-qi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/baoyuan-qi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Baoyuan Qi # Baoyuan Qi Baoyuan Qi has 2 papers in our library, in 2025, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Lefei Zhang](https://md.research.elamur.ai/free/en/authors/lefei-zhang/), [Liu Guoming](https://md.research.elamur.ai/free/en/authors/liu-guoming/), [Shi Luohe](https://md.research.elamur.ai/free/en/authors/shi-luohe/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5051477489) · [ORCID](https://orcid.org/0009-0008-5856-4817) · [**h-index 3**](https://openalex.org/authors/A5051477489) · [27 works](https://openalex.org/works?filter=author.id:A5051477489) · [38 citations](https://openalex.org/works?filter=author.id:A5051477489&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/baoyuan-qi/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/baoyuan-qi/cited-by/) · [⭐ Paper Stars ranking: #9443](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9443) 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=Baoyuan+Qi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Baoyuan+Qi) · [dblp](https://dblp.org/search?q=Baoyuan+Qi) · [ACL Anthology](https://aclanthology.org/search/?q=Baoyuan+Qi) ## Affiliations [🏢**Xiaomi** Beijing · China 2025–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/companies/xiaomi/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2010–2018 · 9 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2013–2018 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2013–2014 · 4 papers](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 1 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/baoyuan-qi/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers](https://md.research.elamur.ai/free/en/papers/tang-2025-spindlekv-novel-kv-cache-reduction/)** *(2025 · 9 citations)* Long-context inference with LLMs is limited by the GPU memory consumed by the KV cache. Earlier token eviction, merging and quantization methods compress deep layers well, but shallow layers resist them. In a preliminary analysis of LLaMA2-7B-chat on 2WikiMQA, the authors found two patterns. Deep layers concentrate… 2. **[KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding](https://md.research.elamur.ai/free/en/papers/luohe-2025-kv-latent-dimensional-level-kv/)** *(2025 · 6 citations)* Decoder-only LLMs store keys and values for every generated token. This KV Cache grows with sequence length and becomes a major limit on memory and bandwidth during inference. KV-Latent tackles this at the level of individual head dimensions, a direction earlier head-, layer- and token-level methods have left largely… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Lefei Zhang](https://md.research.elamur.ai/free/en/authors/lefei-zhang/) ×2 - [Liu Guoming](https://md.research.elamur.ai/free/en/authors/liu-guoming/) ×2 - [Shi Luohe](https://md.research.elamur.ai/free/en/authors/shi-luohe/) ×2 - [Zuchao Li](https://md.research.elamur.ai/free/en/authors/zuchao-li/) ×2 - [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/) - [Ping Wang](https://md.research.elamur.ai/free/en/authors/ping-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 ## Cited by Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/baoyuan-qi/cited-by/). Updated 30 October 2026