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Chenfei Wu

Chenfei Wu has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining; often with Zecheng Tang, Jiahao Li, Jingren Zhou.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 14 · 50 works · 1,196 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 240 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3743

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

🔬State Key Laboratory of Mobile Networks and Mobile Multimedia TechnologyNanjing2022–2026 · 3 paperscurrent🎓Tianjin University of Science and TechnologyTianjin · China2026 · 1 papercurrent🏢Microsoft Research AsiaBeijing · China2021–2024 · 21 papers🎓Beijing University of Posts and TelecommunicationsBeijing · China2018–2019 · 4 papers🏢MicrosoftRedmond · United States2022–2023 · 3 papers🔬State Key Laboratory of Oncology in South ChinaGuangzhou2025 · 2 papers🏥Sun Yat-sen University Cancer CenterGuangzhou · China2025 · 2 papers🏢Beijing Institute of Radio Metrology and MeasurementBeijing2023–2024 · 2 papers🎓Shanghai UniversityShanghai · China2021–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20251 paperChenfei Wu's papers of 202520231 paperChenfei Wu's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models (2023 · 317 citations)
    ChatGPT works only with text, while Visual Foundation Models (VFMs) such as BLIP or Stable Diffusion are strong at seeing and generating images but each handles one narrow task with rigid inputs and outputs.
  2. Qwen-Image Technical Report (2025 · 82 citations)
    Even leading commercial image generators, such as GPT Image 1 and Seedream 3.0, struggle with two tasks: rendering complex text inside images, especially multi-line or Chinese text, and editing images while keeping unedited content unchanged.

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. Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation ModelsarXiv:2303.04671Chenfei Wu, Shengming Yin, Weizhen Qi, et al.2023 · 317 citations
  2. Qwen-Image Technical ReportarXiv:2508.02324Chenfei Wu, Jiahao Li, Jingren Zhou, et al.2025 · 82 citations
  3. Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model ↗arXiv:2502.10248 · no summary yetGuoqing Ma et al.2025 · 20 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 240 times (of the 141,840 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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