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Yucheng Han

Yucheng Han has 3 papers in our library, in 2023–2025, most of them on Vision & language, Language models & pretraining; often with Bin Fu, Chi Zhang, Gang Yu.

3 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 10 · 26 works · 552 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 212 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6155

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

🎓Tongji UniversityShanghai · China2023–2026 · 4 paperscurrent🎓Heilongjiang University of Chinese MedicineHarbin · China2025–2026 · 2 paperscurrent🏥Shanghai Tenth People's HospitalShanghai · China2026 · 1 papercurrent🎓Southern Medical UniversityGuangzhou · China2024–2026 · 1 paperEmployment since 2024 · 本科生, 南方医科大学current🎓Nanyang Technological UniversitySingapore · Singapore2022–2025 · 7 papers🎓Guilin Medical UniversityGuilin · China2022–2024 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksHuman-Computer Interaction · 1 work

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

 Works by year

2020s

20251 paper20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. AppAgent: Multimodal Agents as Smartphone Users (2023 · 107 citations)
    Most LLM-based agents work only with text, and phone assistants such as Siri depend on back-end system access and function calls.
  2. ChartLlama: A Multimodal LLM for Chart Understanding and Generation (2023 · 99 citations)
    General-purpose multimodal LLMs read everyday photos well but struggle with charts. The main cause is a shortage of suitable instruction data: existing chart datasets rely on web-crawled figures with thin annotations and rarely include the plotting code needed to teach chart generation. The authors build a synthetic…
  3. Step1X-Edit: A Practical Framework for General Image Editing (2025 · 23 citations)
    Proprietary systems such as GPT-4o, Gemini2 Flash and Doubao now handle natural-language image editing very well.

All works

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

  1. Prompt-aligned Gradient for Prompt Tuning ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetBeier Zhu et al.2023 · 317 citations
  2. AppAgent: Multimodal Agents as Smartphone UsersarXiv:2312.13771Chi Zhang, Zhao Yang, Jiaxuan Liu, et al.2023 · 107 citations
  3. ChartLlama: A Multimodal LLM for Chart Understanding and GenerationarXiv:2311.16483Yucheng Han, Chi Zhang, Xin Chen, et al.2023 · 99 citations
  4. Step1X-Edit: A Practical Framework for General Image EditingarXiv:2504.17761Shiyu Liu, Yucheng Han, Peng Xing, et al.2025 · 23 citations

 Co-authors here

11 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 212 times (of the 149,439 papers whose bibliographies we read); 64 citing papers with a page here →.

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