activity
20242026
most citedEfficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm

4 citations · 7 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.HC2025

Transformer-Based Modeling of User Interaction Sequences for Dwell Time Prediction in Human-Computer Interfaces

Rui Liu, Runsheng Zhang, Shixiao Wang

This study investigates the task of dwell time prediction and proposes a Transformer framework based on interaction behavior modeling. The method first represents user interaction…

cs.HC2025

Graph Neural Networks for User Satisfaction Classification in Human-Computer Interaction

Rui Liu, Runsheng Zhang, Shixiao Wang

This study focuses on the problem of user satisfaction classification and proposes a framework based on graph neural networks to address the limitations of traditional methods in h…

cs.HC2025

Adaptive Human-Computer Interaction Strategies Through Reinforcement Learning in Complex

Rui Liu, Yifan Zhuang, Runsheng Zhang

This study addresses the challenges of dynamics and complexity in intelligent human-computer interaction and proposes a reinforcement learning-based optimization framework to impro…

cs.CL2025

Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction

Shixiao Wang, Yifan Zhuang, Runsheng Zhang +1

This paper proposes a user semantic intent modeling algorithm based on Capsule Networks to address the problem of insufficient accuracy in intent recognition for human-computer int…

cs.HC2025

DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems

Tong Zhang, Fenghua Shao, Runsheng Zhang +2

Based on the DeepSORT algorithm, this study explores the application of visual tracking technology in intelligent human-computer interaction, especially in the field of gesture rec…

cs.HC2025★ 1 cited

A Deep Learning Approach to Interface Color Quality Assessment in HCI

Shixiao Wang, Runsheng Zhang, Junliang Du +2

In this paper, a quantitative evaluation model for the color quality of human-computer interaction interfaces is proposed by combining deep convolutional neural networks (CNN). By…