Elamur Research⌕
☰
home / authors / Wenshuo Ma

Wenshuo Ma

Wenshuo Ma has 2 papers in our library, in 2025–2026; often with Bokai Xu, Chongyi Wang, Junbo Cui.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 48 · 280 works · 16,320 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 28 times in our library · ⭐ Paper Stars ranking: #8538

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

🎓Chinese University of Hong KongHong Kong · China1999–2026 · 223 paperscurrent🎓National Tsing Hua UniversityHsinchu · Taiwan2006–2010 · 25 papers🎓The University of MelbourneMelbourne · Australia2004–2006 · 11 papers🎓Arizona State UniversityTempe · United States2002–2003 · 3 papers🏢CRSC Research & Design Institute GroupBeijing · China2024 · 2 papers🎓Institute of Electrical and Electronics EngineersPiscataway · United States2010–2013 · 2 papers🎓Queen Mary University of LondonLondon · United Kingdom2004–2005 · 2 papers🎓University of LondonLondon · United Kingdom2004–2005 · 2 papers🎓McMaster UniversityHamilton · Canada2002 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe (2025 · 24 citations)
    MiniCPM-V 4.5 is an 8B-parameter multimodal LLM from OpenBMB. It targets three costly parts of MLLM development: long visual token sequences, brittle document-parsing pipelines and verbose reasoning. To shorten visual input, the authors extend the 2D-Resampler of earlier MiniCPM-V models into a unified 3D-Resampler.…
  2. MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction (2026 · 5 citations)
    Current multimodal LLMs mostly handle interaction in turns: they first take in input, then answer, and they only act when the user explicitly asks.

 Co-authors here

9 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 28 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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