--- title: "Biao Wu — author profile and papers — Elamur Research" description: "Biao Wu, University of Technology Sydney: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/biao-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/biao-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Biao Wu # Biao Wu Biao Wu has 2 papers in our library, in 2026; often with [Ling Chen](https://md.research.elamur.ai/free/en/authors/ling-chen/), [Haozhe Wang](https://md.research.elamur.ai/free/en/authors/haozhe-wang/), [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139807719) · [**h-index 2**](https://openalex.org/authors/A5139807719) · [3 works](https://openalex.org/works?filter=author.id:A5139807719) · [7 citations](https://openalex.org/works?filter=author.id:A5139807719&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/biao-wu/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10262](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10262) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Biao+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Biao+Wu) · [dblp](https://dblp.org/search?q=Biao+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Biao+Wu) ## Affiliations [🎓**Adelaide University** Adelaide · Australia 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/adelaide-university/) · [🎓**The University of Adelaide** Adelaide · Australia 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-adelaide/) · [🎓**University of Technology Sydney** Sydney · Australia 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-technology-sydney/) 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/biao-wu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset](https://md.research.elamur.ai/free/en/papers/wang-2026-infinity-parser-layout-aware-reinforcement/)** *(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](https://md.research.elamur.ai/free/en/papers/wu-2026-mmclip-cross-modal-attention-masked/)** *(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 Dataset](https://md.research.elamur.ai/free/en/papers/wang-2026-infinity-parser-layout-aware-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Baode Wang, Biao Wu, Weizhen Li, et al.*2026 · 4 citations* 2. **[MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training](https://md.research.elamur.ai/free/en/papers/wu-2026-mmclip-cross-modal-attention-masked/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://aclanthology.org/2026.findings-acl.45/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Biao Wu et al.*2026* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Ling Chen](https://md.research.elamur.ai/free/en/authors/ling-chen/) ×2 - [Haozhe Wang](https://md.research.elamur.ai/free/en/authors/haozhe-wang/) - [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/) - [Meng Fang](https://md.research.elamur.ai/free/en/authors/meng-fang/) - [Qi Chen](https://md.research.elamur.ai/free/en/authors/qi-chen/) - [Qi Wu](https://md.research.elamur.ai/free/en/authors/qi-wu/) - [Wei Chu](https://md.research.elamur.ai/free/en/authors/wei-chu/) - [Yuan Qi](https://md.research.elamur.ai/free/en/authors/yuan-qi/) - [Yutong Xie](https://md.research.elamur.ai/free/en/authors/yutong-xie/) - [Zeyu Zhang](https://md.research.elamur.ai/free/en/authors/zeyu-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Findings of the Association for Computational Linguistics: ACL 2026 Updated 1 November 2026