activity
20242026
most citedA critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction

8 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

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…

cs.CL2025

Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages

Ali Almutairi, Abdullah Alsuhaibani, Shoaib Jameel +3

Training deep learning networks with minimal supervision has gained significant research attention due to its potential to reduce reliance on extensive labelled data. While self-tr…

cs.SE2024★ 5 cited

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,…

cs.HC2024★ 6 cited

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…

cs.HC2024★ 8 cited

A critical analysis of cognitive load measurement methods for evaluating the usability of different types of interfaces: guidelines and framework for Human-Computer Interaction

Ali Darejeh, Nadine Marcusa, Gelareh Mohammadi +1

Usability testing is an essential part of product design, particularly for user interfaces. To enhance the reliability of usability evaluations, employing cognitive load measuremen…