Zixuan Wen

According to our database, Zixuan Wen authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data.

Sophie Kearney, Shu Yang, Zixuan Wen, Weimin Lyu, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Chao Chen, Li Shen

CoRR, March, 2026

2025

Multimodal Fusion of Regional Brain Experts for Interpretable Alzheimer's Disease Diagnosis.

Farica Zhuang, Dinara Aliyeva, Shu Yang, Zixuan Wen, Duy Duong-Tran, Christos Davatzikos, Tianlong Chen, Song Wang, Li Shen

CoRR, December, 2025

Enabling Few-Shot Alzheimer's Disease Diagnosis on Tabular Biomarker Data with LLMs.

Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen

CoRR, July, 2025

Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery.

Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis.

Kazi Noshin, Bojian Hou, Mary Regina Boland, Zixuan Wen, Boning Tong, Li Shen, Aidong Zhang

Proceedings of the IEEE International Conference on Big Data, 2025

Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs.

Sophie Kearney, Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Jason H. Moore, Marylyn D. Ritchie, Li Shen

Proceedings of the 16th ACM International Conference on Bioinformatics, 2025

2024

Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery.

Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen

Medical Image Anal., 2024

Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models.

Joseph Lee, Shu Yang, Jae Young Baik, Xiaoxi Liu, Zhen Tan, Dawei Li, Zixuan Wen, Bojian Hou, Duy Duong-Tran, Tianlong Chen, Li Shen

CoRR, 2024

Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits.

Zixuan Wen, Jingxuan Bao, Shu Yang, Junhao Wen, Qipeng Zhan, Yuhan Cui, Güray Erus, Zhijian Yang, Paul M. Thompson, Yize Zhao, Christos Davatzikos, Li Shen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.

Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen

NeuroImage, October, 2023

Integrating 2P-CFAR Correlation Filter and IMM Model for VideoSAR Shadow Tracking.

Zixuan Wen, Shaopeng Wei, Yuyuan Fang, Han Xiao, Yifeng Wu, Lei Zhang

IEEE Geosci. Remote. Sens. Lett., 2023

Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis.

Zixuan Wen, Jingxuan Bao, Shu Yang, Shannon L. Risacher, Andrew J. Saykin, Paul M. Thompson, Christos Davatzikos, Heng Huang, Yize Zhao, Li Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.

Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022