Yan Zhuang

Email: yxz8653@mavs.uta.edu

Address: The Hong Kong Polytechnic University, 11 Yuk Choi Rd, Hung Hom, Hong Kong

Education

2019-2023: B.Eng. (Software Engineering)

University of Electronic Science and Technology of China, School of Information and Software Engineering.

2024-present: Ph.D. Student

University of Texas at Arlington, Department of Computer Science and Engineering.

2026-present: Research Assistant

The Hong Kong Polytechnic University, Department of Industrial and Systems Engineering.

Publications

Representing the cognitive impairment continuum of Alzheimer's disease and Lewy body dementia with a novel finer‐scale cortical representation via disease embedding tree

T. Chen, M. Chen, Y. Zhuang, J. Zhang, L. Zhang, T. Liu, A. M. Blamire, J. T. O’Brien, L. Su, D. Zhu.
Alzheimer's & Dementia, 2025, 21: e102179.

Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis

J. Zhang, X. Yu, M. Chen, L. Zhang, T. Chen, Y. Zhuang, C. Cao, Y. Lyu, L. Su, T. Liu, D. Zhu.
International Workshop on Machine Learning in Medical Imaging (MLMI). Cham: Springer Nature Switzerland, 2025: 604-614.

GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization

Y. Zhuang, M. Chen, C. Cao, T. Chen, J. Zhang, X. Yu, Y. Lyu, L. Zhang, T. Liu, D. Zhu.
International Workshop on Machine Learning in Medical Imaging (MLMI). Cham: Springer Nature Switzerland, 2025: 477-486.

A unified continuous staging framework for Alzheimer’s disease and Lewy Body dementia via hierarchical anatomical features

T. Chen, M. Chen, J. Zhang, Y. Zhuang, C. Cao, X. Yu, Y. Lyu, L. Zhang, L. Su, T. Liu, D. Zhu.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Cham: Springer Nature Switzerland, 2025: 13-23.

Domain-adaptive diagnosis of Lewy Body disease with transferability aware transformer

X. Yu, J. Zhang, T. Chen, Y. Zhuang, M. Chen, C. Cao, Y. Lyu, L. Zhang, L. Su, T. Liu, D. Zhu.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Cham: Springer Nature Switzerland, 2025: 184-193.

Core-periphery principle guided state space model for functional connectome classification

M. Chen, X. Yu, J. Zhang, T. Chen, C. Cao, Y. Zhuang, Y. Lyu, L. Zhang, T. Liu, D. Zhu.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Cham: Springer Nature Switzerland, 2025: 236-246.

Ca-vqvae: Cortical Folding Aware Numerical Representation of White-Matter Structure

Y. Lyu, J. Zhang, L. Zhang, T. Chen, X. Yu, M. Chen, Y. Zhuang, C. Cao, T. Liu, D. Zhu.
2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025.

Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer

J. Zhang, Y. Lyu, X. Yu, L. Zhang, C. Cao, T. Chen, M. Chen, Y. Zhuang, T. Liu, D. Zhu.
2025 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2025.

Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models

J. Zhang, X. Yu, Y. Lyu, L. Zhang, T. Chen, C. Cao, Y. Zhuang, M. Chen, T. Liu, D. Zhu.
2025 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2025.

Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of 3-hinge Gyrus

M. Chen, C. Cao, T. Chen, Y. Zhuang, J. Zhang, Y. Lyu, X. Yu, L. Zhang, T. Liu, D. Zhu.
2025 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2025.

Evaluation of openai o1: Opportunities and challenges of agi

T. Zhong, Z. Liu, Y. Pan, Y. Zhang, Y. Zhou, S. Liang, Z. Wu, Y. Lyu, P. Shu, X. Yu, C. Cao, H. Jiang, H. Chen, Y. Li, J. Chen, H. Hu, Y. Liu, H. Zhao, S. Xu, H. Dai, L. Zhao, R. Zhang, W. Zhao, Z. Yang, J. Chen, P. Wang, W. Ruan, H. Wang, H. Zhao, J. Zhang, Y. Ren, S. Qin, T. Chen, J. Li, A. H. Zidan, A. Jahin, M. Chen, S. Xia, J. Holmes, Y. Zhuang, J. Wang, B. Xu, W. Xia, J. Yu, K. Tang, Y. Yang, B. Sun, T. Yang, G. Lu, X. Wang, L. Chai, H. Li, J. Lu, L. Sun, X. Zhang, B. Ge, X. Hu, L. Zhang, H. Zhou, L. Zhang, S. Zhang, N. Liu, B. Jiang, L. Kong, Z. Xiang, Y. Ren, J. Liu, X. Jiang, Y. Bao, W. Zhang, X. Li, G. Li, W. Liu, D. Shen, A. Sikora, X. Zhai, D. Zhu, T. Liu.
arXiv preprint arXiv:2409.18486 (2024).

Gp-gpt: Large language model for gene-phenotype mapping

Y. Lyu, Z. Wu, L. Zhang, J. Zhang, Y. Li, W. Ruan, Z. Liu, X. Yu, C. Cao, T. Chen, M. Chen, Y. Zhuang, X. Li, R. Liu, C. Huang, W. Li, T. Liu, D. Zhu.
arXiv preprint arXiv:2409.09825 (2024).

A Non-invasive Method to Determine Core Temperature for Cats and Dogs Using Surface Temperatures Based on Machine Learning

Z. Zhao, X. Li, Y. Zhuang, F. Li, W. Wang, Q. Wang, S. Su, J. Huang, Y. Tang.
BMC Vet Res 20, 199, 2024.

Research Project

Light sailor: a laser powered spacecraft for interplanetary travelling. (System analysis and design)

University of Electronic Science and Technology of China (202210614179Y), Dec 2021 - Oct 2022.

Foodshot: A deep learning-based intelligent system for food recognition. (Algorithm design and system implementation)

AI Lab, Futong Technology, a publicly listed in Hong Kong (HK00465), Mar 2022 - Sep 2022.

Award

China Collegiate Computing Contest - 2020 Wechat Mini Program Application Development Competition, Association of Fundamental Computing Education in Chinese Universities, Aug 2020.

Second Prize in Southwest Division.

2021 Zhonggong Cup Sichuan Provincial College Students Computer Works Competition, Sichuan Province Computer Federation, Jun 2021.

First Prize.

Internship

AI Lab, Futong Technology Co. Ltd, Jun 2021 - Jul 2021.

Participated in the research and development of aritificial intelligence algorithm.

AI Lab, Futong Technology Co. Ltd, Mar 2022 - Sep 2022.

Participated in the research and development of aritificial intelligence algorithm.

Work Experience

AI Lab, Diankewangan Technology, Oct 2023 - May 2024.

Participated in the development of an LLM-based advertising classification algorithm.

Teaching Assistant

Course: CSE 4345: Computational Methods, Instructor: Dr. Darin Brezeale, UTA, Spring 2025.

Course: Artificial Intelligence, Instructor: Dr. Yong Tang, UESTC, Fall 2022.

Course: C programming language, Instructor: Dr. Yong Tang, UESTC, Fall 2022.

Skills

Computer Skills:
Python, C, Java, JavaScript, SQL, LaTeX, MATLAB, Pytorch framework.
Interests:
Soccer, Basketball, Music and Travel.