activity
20242026
most citedGraph4GUI: Graph Neural Networks for Representing Graphical User Interfaces

15 citations · 16 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Spatula: Exploring On-Demand In-Situ Interfaces and Interaction for Attribute Control

Boyu Li, Linjie Qiu, Lin-Ping Yuan +4

Controlling attributes is a critical step toward achieving the final creative outcome, yet current approaches fall short in supporting users in the iterative refinement of generati…

cs.HC2025

ControlGUI: Guiding Generative GUI Exploration through Perceptual Visual Flow

Aryan Garg, Yue Jiang, Antti Oulasvirta

During the early stages of interface design, designers need to produce multiple sketches to explore a design space. Design tools often fail to support this critical stage, because…

cs.HC2024

Impact of Design Decisions in Scanpath Modeling

Parvin Emami, Yue Jiang, Zixin Guo +1

Modeling visual saliency in graphical user interfaces (GUIs) allows to understand how people perceive GUI designs and what elements attract their attention. One aspect that is ofte…

cs.HC202415 cited

Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces

Yue Jiang, Changkong Zhou, Vikas Garg +1

Present-day graphical user interfaces (GUIs) exhibit diverse arrangements of text, graphics, and interactive elements such as buttons and menus, but representations of GUIs have no…

cs.CV20241 cited

EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning

Yue Jiang, Zixin Guo, Hamed Rezazadegan Tavakoli +2

From a visual perception perspective, modern graphical user interfaces (GUIs) comprise a complex graphics-rich two-dimensional visuospatial arrangement of text, images, and interac…