--- title: "Zhuoshu Li · Zhejiang University — author profile and papers" description: "Zhuoshu Li, Zhejiang University: 2 papers on Elamur Research (2024), h-index 6 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhuoshu-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhuoshu-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhuoshu Li # Zhuoshu Li Zhuoshu Li has 2 papers in our library, in 2024, 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 [Bingxuan Wang](https://md.research.elamur.ai/free/en/authors/bingxuan-wang/), [Bo Liu](https://md.research.elamur.ai/free/en/authors/bo-liu/), [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5082749498) · [ORCID](https://orcid.org/0009-0000-3327-1622) · [Wikidata](https://www.wikidata.org/wiki/Q131161683) · [**h-index 6**](https://openalex.org/authors/A5082749498) · [11 works](https://openalex.org/works?filter=author.id:A5082749498) · [99 citations](https://openalex.org/works?filter=author.id:A5082749498&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhuoshu-li/#papers) · [🔗 Cited 492 times in our library](https://md.research.elamur.ai/free/en/authors/zhuoshu-li/cited-by/) · [⭐ Paper Stars ranking: #5472](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5472) 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=Zhuoshu+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhuoshu+Li) · [dblp](https://dblp.org/search?q=Zhuoshu+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Zhuoshu+Li) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2021–2025 · 9 papersEducation*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏢**DeepSeek** Hangzhou · China Employment](https://md.research.elamur.ai/free/en/companies/deepseek/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 2 works](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 [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/zhuoshu-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[DeepSeek-VL: Towards Real-World Vision-Language Understanding](https://md.research.elamur.ai/free/en/papers/lu-2024-deepseek-vl-real-world/)** *(2024 · 208 citations)* DeepSeek-VL is an open-source vision-language model from DeepSeek-AI. It targets a known problem: open models score well on academic benchmarks but often fall short of proprietary systems like GPT-4V in practical use. The authors attribute this to three causes: too little multimodal pretraining, instruction data… 2. **[Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2024-let-expert-stick-his/)** *(2024 · 17 citations)* Most parameter-efficient fine-tuning research targets dense LLMs, so sparse Mixture-of-Experts (MoE) models have had little dedicated support. ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Bingxuan Wang](https://md.research.elamur.ai/free/en/authors/bingxuan-wang/) - [Bo Liu](https://md.research.elamur.ai/free/en/authors/bo-liu/) - [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/) - [Chengqi Deng](https://md.research.elamur.ai/free/en/authors/chengqi-deng/) - [Damai Dai](https://md.research.elamur.ai/free/en/authors/damai-dai/) - [Deli Chen](https://md.research.elamur.ai/free/en/authors/deli-chen/) - [Hao Yang](https://md.research.elamur.ai/free/en/authors/hao-yang/) - [Kai Dong](https://md.research.elamur.ai/free/en/authors/kai-dong/) - [Runxin Xu](https://md.research.elamur.ai/free/en/authors/runxin-xu/) - [Wen Liu](https://md.research.elamur.ai/free/en/authors/wen-liu/) - [Y. Wu](https://md.research.elamur.ai/free/en/authors/y-wu/) - [Yaofeng Sun](https://md.research.elamur.ai/free/en/authors/yaofeng-sun/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 492 times (of the 149,439 papers whose bibliographies we read); [128 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhuoshu-li/cited-by/). Updated 30 October 2026