Yuhan Cui

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Binary Classification

Canonical Correlation Analysis

Exact And Approximate

Top Venues

IEEE Internet Things J.

Medical Image Anal.

Publications

Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang
Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works. CoRR (2024)
Yuhan Cui, Kwan-Wu Chin, Sieteng Soh, Montserrat Ros
Exact and Approximate Tasks Computation in IoT Networks. IEEE Internet Things J. 11 (5) (2024)
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
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97 (2024)
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
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR (2023)
Yuhan Cui, Kwan-Wu Chin, Sieteng Soh, Montserrat Ros
Novel Task Scheduling Approaches in Energy Sharing Solar-Powered IoT Networks. IEEE Internet Things J. 10 (12) (2023)
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
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR (2023)
Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage 280 (2023)
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
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM (2022)
Ryan J. Urbanowicz, Robert Zhang, Yuhan Cui, Pranshu Suri
STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. CoRR (2022)
Ryan J. Urbanowicz, Robert Zhang, Yuhan Cui, Pranshu Suri
STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. GPTP (2022)
Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch
A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments. CoRR (2020)