activity
20192023
most citedUnderstanding Mobile GUI: from Pixel-Words to Screen-Sentences

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Unifying Layout Generation with a Decoupled Diffusion Model

Mude Hui, Zhizheng Zhang, Xiaoyi Zhang +3

Layout generation aims to synthesize realistic graphic scenes consisting of elements with different attributes including category, size, position, and between-element relation. It…

cs.CV2023

UAVStereo: A Multiple Resolution Dataset for Stereo Matching in UAV Scenarios

Zhang Xiaoyi, Cao Xuefeng, Yu Anzhu +3

Stereo matching is a fundamental task for 3D scene reconstruction. Recently, deep learning based methods have proven effective on some benchmark datasets, such as KITTI and Scene F…

cs.HC2022

Reflow: Automatically Improving Touch Interactions in Mobile Applications through Pixel-based Refinements

Jason Wu, Titus Barik, Xiaoyi Zhang +3

Touch is the primary way that users interact with smartphones. However, building mobile user interfaces where touch interactions work well for all users is a difficult problem, bec…

cs.CV2021★ 2 cited

Understanding Mobile GUI: from Pixel-Words to Screen-Sentences

Jingwen Fu, Xiaoyi Zhang, Yuwang Wang +3

The ubiquity of mobile phones makes mobile GUI understanding an important task. Most previous works in this domain require human-created metadata of screens (e.g. View Hierarchy) d…

cs.CL2019

Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study

Xiaoyi Zhang, Rodoniki Athanasiadou, Narges Razavian

Twitter data has been shown broadly applicable for public health surveillance. Previous public health studies based on Twitter data have largely relied on keyword-matching or topic…