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Boya Wu

Boya Wu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Vision & language; often with Bo Zhang, Bo Zhao, Hui Wang.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 4 · 11 works · 84 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 98 times in our library · ⭐ Paper Stars ranking: #7221

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

🔬Beijing Academy of Artificial IntelligenceBeijing · China2025–2026 · 3 paperscurrent🎓Shanghai UniversityShanghai · China2023–2026 · 3 paperscurrent🔬State Key Laboratory of Advanced Special SteelShanghai · China2026 · 1 papercurrent🎓Southern Medical UniversityGuangzhou · China2023–2025 · 2 papers🎓North China University of Science and TechnologyTangshan · China2023–2024 · 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 4The field of science this work belongs to (OpenAlex fields).Computer Science · 1 workComputer Vision and Pattern Recognition · 1 workBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MLVU: Benchmarking Multi-task Long Video Understanding (2024 · 140 citations)
    Benchmarks for evaluating how multimodal LLMs (MLLMs) handle long videos have three main gaps. Most use clips lasting only seconds, and many cover a single genre or task. Their questions can also often be answered from one frame or from general knowledge of famous films. MLVU addresses these gaps with 1,730 videos…
  2. STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding (2026 · 2 citations)
    STELLA addresses protein functional annotation. Protein language models capture biophysical signals well but seldom connect them to the textual knowledge that describes what a protein does. Earlier protein–text multimodal LLMs used separate sequence and structure encoders, which needed fusion layers. STELLA instead…

 Co-authors here

12 of 13 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 98 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

Updated

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