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)

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. - Jiahang Sha; Jingxuan Bao; Kefei Liu 001; Shu Yang 009; Zixuan Wen; Yuhan Cui; Junhao Wen 002; Christos Davatzikos; Jason H. Moore; Andrew J. Saykin; Qi Long; Li Shen 001 (BIBM, 2022)

STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. - Ryan J. Urbanowicz; Robert Zhang 004; Yuhan Cui; Pranshu Suri (GPTP, 2022)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 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 003; Yang Shen; Jie Zhou 015; Siming Chen 001; et al. (CoRR, 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)

Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. - Jingxuan Bao; Junhao Wen 002; Zixuan Wen; Shu Yang 009; Yuhan Cui; Zhijian Yang; Güray Erus; Andrew J. Saykin; Qi Long; Christos Davatzikos; Li Shen 001 (NeuroImage, 2023)

Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works. - Xinfeng Yuan; Siyu Yuan; Yuhan Cui; Tianhe Lin; Xintao Wang 001; Rui Xu 026; Jiangjie Chen; Deqing Yang (EMNLP, 2024)

Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits. - Zixuan Wen; Jingxuan Bao; Shu Yang 009; Junhao Wen 002; Qipeng Zhan; Yuhan Cui; Güray Erus; Zhijian Yang; Paul M. Thompson; Yize Zhao; Christos Davatzikos; Li Shen 001 (ISBI, 2024)

Exact and Approximate Tasks Computation in IoT Networks. - Yuhan Cui; Kwan-Wu Chin; Sieteng Soh; Montserrat Ros (IEEE Internet Things J., 2024)

Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. - Bojian Hou; Zixuan Wen; Jingxuan Bao; Richard Zhang; Boning Tong; Shu Yang 009; Junhao Wen 002; Yuhan Cui; Jason H. Moore; Andrew J. Saykin; Heng Huang; Paul M. Thompson; et al. (Medical Image Anal., 2024)

Maximizing UAV Tasks Computation Quality in Energy Harvesting IIoT. - Yuhan Cui; Kwan-Wu Chin; Sieteng Soh (IEEE Trans. Ind. Informatics, 2025)