4 citations · 7 across the 10 of their papers we have counts for
10 papers
Generative Modeling of Human-Computer Interfaces with Diffusion Processes and Conditional Control
Rui Liu, Liuqingqing Yang, Runsheng Zhang +1
This study investigates human-computer interface generation based on diffusion models to overcome the limitations of traditional template-based design and fixed rule-driven methods…
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…
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…
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…
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…
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…
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…
Dynamic User Interface Generation for Enhanced Human-Computer Interaction Using Variational Autoencoders
Runsheng Zhang, Shixiao Wang, Tianfang Xie +2
This study presents a novel approach for intelligent user interaction interface generation and optimization, grounded in the variational autoencoder (VAE) model. With the rapid adv…
Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning
Shiyu Duan, Ziyi Wang, Shixiao Wang +2
In an era where user interaction with technology is ubiquitous, the importance of user interface (UI) design cannot be overstated. A well-designed UI not only enhances usability bu…
Efficient and Aesthetic UI Design with a Deep Learning-Based Interface Generation Tree Algorithm
Shiyu Duan, Runsheng Zhang, Mengmeng Chen +2
This paper presents a novel method for user interface (UI) generation based on the Transformer architecture, addressing the increasing demand for efficient and aesthetically pleasi…