most citedUI Remix: Supporting UI Design Through Interactive Example Retrieval and Remixing

2 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2026

Benchmarking and Enhancing Text-to-Image Models for Generating Visual Representations in Early Arithmetic Education

Junling Wang, Boqi Chen, Heejin Do +3

AI systems are increasingly used to support educational content creation, yet it remains unclear whether they can generate outputs that faithfully represent the pedagogical concept…

cs.CV2026

Vision2Code: A Multi-Domain Benchmark for Evaluating Image-to-Code Generation

Ajay Vikram Periasami, Junlin Wang, Bhuwan Dhingra

We study whether vision-language models (VLMs) can reconstruct structured, graphics-based images by writing executable code to generate them. Existing benchmarks on image-to-code g…

cs.HC2026

When Should Teachers Control AI Generation for Mathematics Visuals?

Zhengxu Li, Junling Wang, April Yi Wang

Generative AI has the potential to help teachers rapidly create classroom-ready visual materials, particularly in mathematics where diagrams and visual representations must be peda…

cs.CY2026

GeoDial: A Multimodal Conversational Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns

Sankalan Pal Chowdhury, Junling Wang, Donya Rooein +2

Several educational domains rely heavily on diagrams and visual cues, yet most existing tutoring datasets are limited to text-only interactions. This limits the development of AI t…

cs.MM2026

Unveiling the Visual Counting Bottleneck in Vision-Language Models

Xingzhou Pang, Yifan Hou, Junling Wang +1

While Large Vision-Language Models (VLMs) excel at interpolation, they suffer catastrophic failures in systematic generalization, most notably in visual counting. In this work, we…

cs.HC2026★ 2 cited

UI Remix: Supporting UI Design Through Interactive Example Retrieval and Remixing

Junling Wang, Hongyi Lan, Xiaotian Su +2

Designing user interfaces (UIs) is a critical step when launching products, building portfolios, or personalizing projects, yet end users without design expertise often struggle to…

cs.HC2026

Bridging Instead of Replacing Online Coding Communities with AI through Community-Enriched Chatbot Designs

Junling Wang, Lahari Goswami, Gustavo Kreia Umbelino +3

LLM-based chatbots like ChatGPT have become popular tools for assisting with coding tasks. However, they often produce isolated responses and lack mechanisms for social learning or…

cs.CL2025

Can Vision-Language Models Solve Visual Math Equations?

Monjoy Narayan Choudhury, Junling Wang, Yifan Hou +1

Despite strong performance in visual understanding and language-based reasoning, Vision-Language Models (VLMs) struggle with tasks requiring integrated perception and symbolic comp…

cs.CL2025

Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models

Junling Wang, Anna Rutkiewicz, April Yi Wang +1

Visuals are valuable tools for teaching math word problems (MWPs), helping young learners interpret textual descriptions into mathematical expressions before solving them. However,…