activity
20202023
most citedPaLI-X: On Scaling up a Multilingual Vision and Language Model

39 citations · 169 across the 14 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 10 cited

Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus

Gang Li, Yang Li

Mobile UI understanding is important for enabling various interaction tasks such as UI automation and accessibility. Previous mobile UI modeling often depends on the view hierarchy…

cs.HC2022★ 4 cited

Enabling Conversational Interaction with Mobile UI using Large Language Models

Bryan Wang, Gang Li, Yang Li

Conversational agents show the promise to allow users to interact with mobile devices using language. However, to perform diverse UI tasks with natural language, developers typical…

cs.HC2022★ 29 cited

Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis

Eldon Schoop, Xin Zhou, Gang Li +3

We use a deep learning based approach to predict whether a selected element in a mobile UI screenshot will be perceived by users as tappable, based on pixels only instead of view h…

cs.CR2022

Distributed Differentially Private Ranking Aggregation

Baobao Song, Qiujun Lan, Yang Li +1

Ranking aggregation is commonly adopted in cooperative decision-making to assist in combining multiple rankings into a single representative. To protect the actual ranking of each…

cs.HC2022

Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale

Gang Li, Gilles Baechler, Manuel Tragut +1

The layout of a mobile screen is a critical data source for UI design research and semantic understanding of the screen. However, UI layouts in existing datasets are often noisy, h…