
Zheyuan Kuang
MPhil Student
I am a MPhil student working at the intersection of Human-Computer Interaction (HCI), Affective Computing, Multimodal Learning, and Extended Reality. I am particularly interested in how multimodal signals can be integrated to better understand human states in interactive settings. My long-term goal is to improve real-world human-AI interaction by developing systems that are robust, trustworthy, privacy-aware, efficient, and responsibly deployed for applications that directly affect people’s daily lives and wellbeing.
Research Interests
Publications
Understanding the Effects of Interaction on Emotional Experiences in VR
Z Kuang, T Li, W Jiang, S Mayer, F Salim, B Tag, A Withana, Z Sarsenbayeva
An LLM-Assisted Toolkit for Inspectable Multimodal Emotion Data Annotation
Z Kuang, W Jiang, N Koemel, M Ahmadi, E Stamatakis, B Tag, A Withana, Z Sarsenbayeva
Preserving architectural heritage in urban renewal: a stable diffusion model framework for automated historical facade generation
Z Kuang, J Zhang, Y Li, T Fukuda
ArchGPT: harnessing large language models for supporting renovation and conservation of traditional architectural heritage
J Zhang, R Xiang, Z Kuang, B Wang, Y Li
Advancing urban renewal: an automated approach to generating historical arcade facades with stable diffusion models
Z Kuang, J Zhang, Y Huang, Y Li