Elamur Research⌕
☰
home / authors / Biao Wu

Biao Wu

Biao Wu has 2 papers in our library, in 2026; often with Ling Chen, Haozhe Wang, Jun Huang.

2 papers in our library · 2026

OpenAlex · h-index 2 · 3 works · 7 citations OpenAlex, 2026-10-14

📄 2 works in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #10262

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

🎓Adelaide UniversityAdelaide · Australia2026 · 1 papercurrent🎓The University of AdelaideAdelaide · Australia2026 · 1 papercurrent🎓University of Technology SydneySydney · Australia2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workMedicine · 1 workHealth Informatics · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset (2026 · 4 citations)
    Converting scanned pages into structured Markdown is difficult. Pages mix paragraphs, tables, formulas and figures, and a parser must recover both the content and its layout and reading order. The authors identify two obstacles: there is little training data with precise, layout-aware annotation, and supervised…
  2. MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training (2026 · 3 citations)
    Medical vision-and-language pretraining usually pairs contrastive learning with masked modelling. Random masking, however, tends to miss small pathological details, and most methods train on either paired image–report data or image-only data, not both. MMCLIP addresses this with two masking modules built on CLIP.…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing DatasetFindings of the Association for Computational LinguisticsBaode Wang, Biao Wu, Weizhen Li, et al.2026 · 4 citations
  2. MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Biao Wu, Yutong Xie, Zeyu Zhang, et al.2026 · 3 citations
  3. DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetBiao Wu et al.2026

 Co-authors here

10 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.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/biao-wu/