Yuhan Cui

According to our database, Yuhan Cui authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

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

Exact and Approximate Tasks Computation in IoT Networks.

Yuhan Cui, Kwan-Wu Chin, Sieteng Soh, Montserrat Ros

IEEE Internet Things J., 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

Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works.

Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Novel Task Scheduling Approaches in Energy Sharing Solar-Powered IoT Networks.

Yuhan Cui, Kwan-Wu Chin, Sieteng Soh, Montserrat Ros

IEEE Internet Things J., 2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, Jie Zhou, Siming Chen, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2023

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.

Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos

CoRR, 2023

2022

STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison.

Ryan J. Urbanowicz, Robert Zhang, Yuhan Cui, Pranshu Suri

Proceedings of the Genetic Programming Theory and Practice XIX [GPTP 2022], 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

2020

A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments.

Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch

CoRR, 2020