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Chengyao Wang

Chengyao Wang has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Vision & language; often with Jiaya Jia, Yanwei Li, Yixin Chen.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 19 · 92 works · 1,356 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 171 times in our library · ⭐ Paper Stars ranking: #4952

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Chinese University of Hong KongHong Kong · China2023–2026 · 8 paperscurrent🏥Zhongnan Hospital of Wuhan UniversityWuhan · China2005–2024 · 39 papers🎓Wuhan UniversityWuhan · China2005–2020 · 24 papers🎓Yunnan UniversityKunming · China2021–2024 · 13 papers🎓Center for Excellence in Brain Science and Intelligence TechnologyShanghai · China2025 · 3 papers🏛️Chinese Academy of SciencesBeijing · China2025 · 3 papers🏥First Affiliated Hospital of Xi'an Jiaotong UniversityXi'an · China2025 · 3 papers🎓Xi'an Jiaotong UniversityXi'an · China2025 · 3 papers🎓Shenzhen UniversityShenzhen · China2019–2021 · 2 papers🎓National Taiwan UniversityTaipei · Taiwan2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (2023 · 262 citations)
    Vision Language Models handle single images well but struggle with long videos. Each frame normally needs dozens to hundreds of visual tokens, so hour-long footage quickly exceeds what an LLM can process. LLaMA-VID, from CUHK and SmartMore, compresses every frame into just two tokens. A text decoder (BERT or QFormer)…
  2. Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models (2024 · 123 citations)
    Open vision language models still trail proprietary systems such as GPT-4 and Gemini. The common remedy, feeding more visual tokens from higher-resolution images, sharply raises compute costs. Mini-Gemini narrows this gap on an academic budget in three ways. First, it combines two vision encoders. A CLIP-pretrained…

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 171 times (of the 149,439 papers whose bibliographies we read); 41 citing papers with a page here →.

Updated

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