--- title: "Ke Chen · Zhejiang University — author profile and papers" description: "Ke Chen, Zhejiang University: 2 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/ke-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ke-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ke Chen # Ke Chen Ke Chen 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 [Huan Li](https://md.research.elamur.ai/free/en/authors/huan-li/), [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/), [Lidan Shou](https://md.research.elamur.ai/free/en/authors/lidan-shou/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139721963) · [**h-index 0**](https://openalex.org/authors/A5139721963) · [3 works](https://openalex.org/works?filter=author.id:A5139721963) · [0 citations](https://openalex.org/works?filter=author.id:A5139721963&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ke-chen/#papers) · [🔗 Cited 112 times in our library](https://md.research.elamur.ai/free/en/authors/ke-chen/cited-by/) · [⭐ Paper Stars ranking: #6174](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6174) 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=Ke+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ke+Chen) · [dblp](https://dblp.org/search?q=Ke+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Ke+Chen) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) 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 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 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-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/ke-chen/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ke-chen/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2024-draft-verify-lossless-large-language/)** *(2024 · 148 citations)* Autoregressive generation in large language models is slow. Each new token needs a full, memory-bandwidth-bound pass through the network. Speculative decoding can help, but it usually depends on a separate draft model, which costs extra GPU memory and is hard to obtain for fine-tuned models such as LLaMA-2-Chat or… 2. **[HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference](https://md.research.elamur.ai/free/en/papers/zeng-2026-hybridkv-hybrid-kv-cache-compression/)** *(2026 · 4 citations)* Multimodal LLMs turn every image or video frame into hundreds or thousands of tokens. As a result, the key–value (KV) cache held in GPU memory during decoding grows quickly and slows inference. Earlier compression methods only decide how much cache each token, layer or head keeps, and they apply a single strategy… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Huan Li](https://md.research.elamur.ai/free/en/authors/huan-li/) ×2 - [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/) ×2 - [Lidan Shou](https://md.research.elamur.ai/free/en/authors/lidan-shou/) ×2 - [Gang Chen](https://md.research.elamur.ai/free/en/authors/gang-chen/) - [Jue Wang](https://md.research.elamur.ai/free/en/authors/jue-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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) ## Cited by Papers of our library cite their works 112 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ke-chen/cited-by/). Updated 31 October 2026