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Wenxuan Huang

Wenxuan Huang has 2 papers in our library, in 2025–2026, most of them on Vision & language, Language models & pretraining, Reasoning; often with Fei Zhao, Feng Zhao, Lin Chen.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 4 · 18 works · 53 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 100 times in our library · ⭐ Paper Stars ranking: #7877

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

🎓Guangxi UniversityNanning · China2024–2025 · 3 paperscurrent🎓East China Normal UniversityShanghai · China2024–2025 · 2 paperscurrent🎓China Three Gorges UniversityYichang · China2025 · 1 papercurrent🎓Fudan UniversityShanghai · China2025 · 1 papercurrent🎓Guangdong University of TechnologyGuangzhou · China2025 · 1 papercurrent🎓Jining Normal UniversityJining · China2025 · 1 papercurrent🎓Shanghai Institute of TechnologyShanghai · China2025 · 1 papercurrent🎓Suzhou University of Science and TechnologySuzhou · China2020–2023 · 2 papers🎓Xiamen University of TechnologyXiamen · China2023 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 2 worksLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models (2025 · 92 citations)
    The paper asks whether reinforcement learning, which DeepSeek-R1-Zero used to elicit reasoning in text-only LLMs, can do the same for MLLMs.
  2. UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision (2026 · 11 citations)
    Unified Multimodal Models (UMMs) often judge images accurately but cannot produce scenes of the same quality themselves.

 Co-authors here

12 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 100 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

Updated

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