Gongwei Chen
Gongwei Chen has 2 papers in our library, in 2025–2026; often with Liqiang Nie, Rui Shao, Jie Liu.
OpenAlex · ORCID · h-index 12 · 50 works · 575 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 8 times in our library · ⭐ Paper Stars ranking: #9794
Affiliations
🎓Nanjing Forestry UniversityNanjing ·
China2018–2026 · 10 papers🎓Jiangsu Vocational College of Agriculture and ForestryJurong ·
China2023–2026 · 4 papers🎓Northwest Minzu UniversityLanzhou ·
China2026 · 1 paper🏛️Chinese Academy of SciencesBeijing ·
China2019–2024 · 11 papers🔬Institute of Computing TechnologyBeijing ·
China2019–2024 · 10 papers🎓Harbin Institute of TechnologyHarbin ·
China2024–2025 · 9 papers🎓University of Chinese Academy of SciencesBeijing ·
China2019–2024 · 5 papers🎓Anhui Agricultural UniversityHefei ·
China2020–2025 · 3 papers🎓Guangzhou City PolytechnicGuangzhou2005–2007 · 2 papers
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksSoftware · 1 workArts and Humanities · 1 workHuman-Computer Interaction · 1 workLanguage and Linguistics · 1 work
Works by year
2020s
Papers
- GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent (2025 · 9 citations)
Multimodal LLM agents that operate mobile apps often misread interface elements, such as a music-recognition icon in QQ Music, and their built-in knowledge becomes outdated as apps update. Fine-tuning for each app version is too costly. GUI-explorer is a training-free agent that addresses both problems in three steps: - PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records (2026 · 2 citations)
GUI agents usually assume that users give complete, explicit instructions. Real users often leave out details they consider obvious from past behaviour. This paper defines a new task, PersonalAlign, which treats implicit intent as hierarchical. At the first level, the agent fills in omitted preferences in vague…
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