6 citations · 14 across the 5 of their papers we have counts for
5 papers
LEGOUI: Designing with UI-DSL Bricks to Balance Transparency and Controllability
Yinsi Zhou, Mingyue Yuan, Hongyue Xu +8
Generative user interface design tools enable rapid prototyping but often operate as black boxes with limited transparency and controllability. When outputs diverge from the design…
A Case Study of Scalable Content Annotation Using Multi-LLM Consensus and Human Review
Mingyue Yuan, Jieshan Chen, Zhenchang Xing +2
Content annotation at scale remains challenging, requiring substantial human expertise and effort. This paper presents a case study in code documentation analysis, where we explore…
DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models
Mingyue Yuan, Jieshan Chen, Zhenchang Xing +6
The rise of Large Language Models (LLMs) has streamlined frontend interface creation through tools like Vercel's V0, yet surfaced challenges in design quality (e.g., accessibility,…
Towards Human-AI Synergy in UI Design: Supporting Iterative Generation with LLMs
Mingyue Yuan, Jieshan Chen, Yongquan Hu +5
In automated UI design generation, a key challenge is the lack of support for iterative processes, as most systems focus solely on end-to-end output. This stems from limited capabi…
MAxPrototyper: A Multi-Agent Generation System for Interactive User Interface Prototyping
Mingyue Yuan, Jieshan Chen, Aaron Quigley
In automated user interactive design, designers face key challenges, including accurate representation of user intent, crafting high-quality components, and ensuring both aesthetic…