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Shan Wang

Shan Wang has 2 papers in our library, in 2023, most of them on Multilingual & cross-lingual NLP, Code & programming languages, Vision & language; often with Chongyi Wang, Jinyi Hu, Lei Shen.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 13 · 27 works · 514 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 185 times in our library · ⭐ Paper Stars ranking: #3809

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

🎓University of Southern DenmarkOdense · Denmark2025 · 1 papercurrent🏥Zhongnan Hospital of Wuhan UniversityWuhan · China2022–2023 · 6 papers🎓Dalian Polytechnic UniversityDalian · China2022–2023 · 3 papers🎓Wuhan UniversityWuhan · China2022–2023 · 3 papers🎓Guiyang Medical UniversityGuiyang · China2021–2024 · 2 papers🏥Peking University First HospitalBeijing · China2007–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksComputer Science Applications · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksCode & programming languages · 1 workVision & language · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X (2023 · 465 citations)
    Open, functionally checked evaluation of code models across many programming languages was largely missing.
  2. Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages (2023 · 43 citations)
    Most large multimodal systems for image understanding and image generation work well only in English. Other languages lack the huge image-text collections such training needs: BLIP-2 used over 100M pairs, and Stable Diffusion used over 2B. The authors propose MPM, a training paradigm that uses a multilingual LLM as a…

 Co-authors here

12 of 18 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 185 times (of the 149,439 papers whose bibliographies we read); 37 citing papers with a page here →.

Updated

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