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Dr.Yipeng Zhuang

Dr. Zhuang Yipeng earned his Bachelor's degree in Statistics from Sun Yat-sen University in 2018 and a Master's degree in Data Science from the University of Hong Kong in 2020. He completed his Ph.D. at The Education University of Hong Kong in 2024, where his research focused on high-dimensional data analysis and AI-assisted language learning. During his doctoral studies, he also contributed as a statistical consultant within the university.
Currently, Dr. Zhuang is a Post-doctoral Fellow at the Digital Health Laboratory at the University of Hong Kong. His research lies at the intersection of artificial intelligence and medical image analysis, with a focus on developing intelligent systems to support medical diagnosis. He is particularly interested in applying deep learning and multimodal approaches to address healthcare challenges. His current research interests include Vision-Language Models for Medical Imaging, Medical Multimodal Analysis, AI in Computational Pathology, and Bioengineering.

Dr.Yipeng Zhuang

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Bioinformatics


Yipeng Zhuang, Ruibin Zhao, ZhiWei Xie, Philip L.H. Yu, "Enhancing Language Learning through Generative AI Feedback on Picture-Cued Writing Tasks", Computers and Education: Artificial Intelligence, 2025, 100450, ISSN 2666-920X, doi: 10.1016/j.caeai.2025.100450.


Yipeng Zhuang, Chenlu Wang , and Philip LH Yu. "Preference Modeling with Multiple Network Views Based on Graph Neural Networks." 2023 Joint Statistical Meetings, Toronto, Canada, 2023, doi: 10.2139/ssrn.5189422.


Yipeng Zhuang, Dong Li, Philip L. H. Yu, Wai Keung Li. "On buffered moving average models." Journal of Time Series Analysis, 2025, 46(4): 599-622.


Ruibin Zhao,Yipeng Zhuang, ZhiWei Xie, Philip L.H. Yu, "Facilitating self-directed language learning in real-life scene description tasks with automated evaluation". Computers & Education, 2024, 219: 105106.


Ruibin Zhao, ZhiWei Xie, Yipeng Zhuang, Philip L.H. Yu. "Automated quality evaluation of large-scale benchmark datasets for vision-language tasks". International Journal of Neural Systems, 2024, 34(03): 2450009.

Opportunities

Digital Health Laboratory (under O&T Dept, HKU) welcomes applications from high potential candidates with academic excellence, research ability and potential, and good communication, and interpersonal abilities for multiple research and engineering positions, including Research Assistant, Mphil, PhD and PostDoc Fellow. We are also looking for Algorithm Researchers, Algorithm Engineers, Data Scientists, and Technicians working in either Mainland (Beijing, Shenzhen) or Hong Kong.

If you have interest, please fill in the following information with your Résumé/CV (link) and apply. We will contact you!

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