AAPL: assessing association between p-value lists. - Tianwei Yu; Yize Zhao; Shihao Shen (Stat. Anal. Data Min., 2013)

Bayesian network feature finder (BANFF): an R package for gene network feature selection. - Zhou Lan; Yize Zhao; Jian Kang 003; Tianwei Yu (Bioinform., 2016)

Subtyping Parkinson's Disease with Recurrent Neural Network Models. - Xi Zhang; Jian Liang 001; Cao Xiao; Yize Zhao; Fei Wang 001 (AMIA, 2017)

Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data. - Wenli Sun; Changgee Chang; Yize Zhao; Qi Long (IEEE BigData, 2018)

Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls. - Min-hyung Kim; Samprit Banerjee; Yize Zhao; Fei Wang 001; Yiye Zhang; Yongjun Zhu; Joseph DeFerio; Lauren Evans; Sang Min Park; Jyotishman Pathak (J. Biomed. Informatics, 2018)

Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data. - Yize Zhao; Jian Kang 003; Qi Long (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Dynamic Gesture Recognition Using Inertial Sensors-based Data Gloves. - Bin Fang 003; Qin Lv; Jianhua Shan; Fuchun Sun 001; Huaping Liu 001; Di Guo; Yize Zhao (ICARM, 2019)

Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes. - Yingxuan Eng; Xiaohui Yao; Kefei Liu 001; Shannon L. Risacher; Andrew J. Saykin; Qi Long; Yize Zhao; Li Shen 001 (AMIA, 2020)

Pursuing Sources of Heterogeneity in Modeling Clustered Population. - Yan Li; Chun Yu; Yize Zhao; Robert H. Aseltine; Weixin Yao; Kun Chen 002 (CoRR, 2020)

A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. - Yize Zhao; Xiwen Zhao; Mansu Kim; Jingxuan Bao; Li Shen 001 (MICCAI (5), 2021)

Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales. - Frederick H. Xu; Sumita Garai; Duy Duong-Tran; Andrew J. Saykin; Yize Zhao; Li Shen 001 (BIBM, 2022)

On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage. - Xu An Wang 014; Xiaozhong Pan; Lixian Wei; Yize Zhao (EIDWT, 2022)

Fusion of acoustic and deep features for pig cough sound recognition. - Weizheng Shen; Nan Ji; Yanling Yin; Baisheng Dai; Ding Tu; Baihui Sun; Handan Hou; Shengli Kou; Yize Zhao (Comput. Electron. Agric., 2022)

Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis. - Zixuan Wen; Jingxuan Bao; Shu Yang 009; Shannon L. Risacher; Andrew J. Saykin; Paul M. Thompson; Christos Davatzikos; Heng Huang; Yize Zhao; Li Shen 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Caudal and Thalamic Segregation in White Matter Brain Network Communities in Alzheimer's Disease Population. - Frederick H. Xu; Duy Duong-Tran; Yize Zhao; Li Shen 001 (BHI, 2024)

Learning High-Order Relationships of Brain Regions. - Weikang Qiu; Huangrui Chu; Selena Wang; Haolan Zuo; Xiaoxiao Li; Yize Zhao; Rex Ying (ICML, 2024)

A Comprehensive Evaluation of Bluetooth Low Energy Mesh. - Yize Zhao; Lin Wang 023; Zijuan Liu; Yifan Xu; Fan Dang 001; Xu Wang 018; Haitian Zhao; Xin Miao (ICPADS, 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)

Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics. - Nghi Nguyen; Tao Hou; Enrico Amico; Jingyi Zheng; Huajun Huang; Alan D. Kaplan; Giovanni Petri; Joaquín Goñi; Ralph Kaufmann; Yize Zhao; Duy Duong-Tran; Li Shen 001 (MICCAI (3), 2024)

Learnable Community-Aware Transformer for Brain Connectome Analysis with Token Clustering. - Yanting Yang; Beidi Zhao; Zhuohao Ni; Yize Zhao; Xiaoxiao Li (CoRR, 2024)

Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations. - Yize Zhao; Tina Behnia; Vala Vakilian; Christos Thrampoulidis (CoRR, 2024)

Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation. - Jiangnan Shen; Yiliang Zhang; Zhaohan Zhu; Youshu Cheng; Biao Cai; Yize Zhao; Hongyu Zhao 003 (NeuroImage, 2024)

DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models. - Wenlong Deng; Yize Zhao; Vala Vakilian; Minghui Chen; Xiaoxiao Li; Christos Thrampoulidis (ICLR, 2025)

Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling. - Selena Wang; Yiting Wang; Frederick H. Xu; Li Shen 001; Yize Zhao (Medical Image Anal., 2025)

On the Geometry of Semantics in Next-token Prediction. - Yize Zhao; Christos Thrampoulidis (CoRR, 2025)