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Zheyuan Kuang

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

Affective ComputingMultimodal Learning

Publications

Conference / CHI '26 / 2026

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

DOI |
Preprint / arXiv / 2026

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

Journal / npj Heritage Sci. / 2025

Preserving architectural heritage in urban renewal: a stable diffusion model framework for automated historical facade generation

Z Kuang, J Zhang, Y Li, T Fukuda

Team Profile: Zheyuan Kuang ->
DOI |
Journal / Heritage Sci. / 2024

ArchGPT: harnessing large language models for supporting renovation and conservation of traditional architectural heritage

J Zhang, R Xiang, Z Kuang, B Wang, Y Li

Team Profile: Zheyuan Kuang ->
DOI |
Preprint / arXiv / 2023

Advancing urban renewal: an automated approach to generating historical arcade facades with stable diffusion models

Z Kuang, J Zhang, Y Huang, Y Li

Team Profile: Zheyuan Kuang ->

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The University of Sydney

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