Yize Zhao

According to our database, Yize Zhao authored at least 22 papers between 2013 and 2025.

Collaborative distances:

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

2025

Establishing group-level brain structural connectivity incorporating anatomical knowledge under latent space modeling.

Selena Wang, Yiting Wang, Frederick H. Xu, Li Shen, Yize Zhao

Medical Image Anal., 2025

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

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

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

Learnable Community-Aware Transformer for Brain Connectome Analysis with Token Clustering.

Yanting Yang, Beidi Zhao, Zhuohao Ni, Yize Zhao, Xiaoxiao Li

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Learning High-Order Relationships of Brain Regions.

Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

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

On the Insecurity of a Certificateless Public Verification Protocol for the Outsourced Data Integrity in Cloud Storage.

Xu An Wang, Xiaozhong Pan, Lixian Wei, Yize Zhao

Proceedings of the Advances in Internet, Data & Web Technologies, 2022

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

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

2021

A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits.

Yize Zhao, Xiwen Zhao, Mansu Kim, Jingxuan Bao, Li Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Pursuing Sources of Heterogeneity in Modeling Clustered Population.

Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen

CoRR, 2020

Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.

Yingxuan Eng, Xiaohui Yao, Kefei Liu, Shannon L. Risacher, Andrew J. Saykin, Qi Long, Yize Zhao, Li Shen

Proceedings of the AMIA 2020, 2020

2019

Dynamic Gesture Recognition Using Inertial Sensors-based Data Gloves.

Bin Fang, Qin Lv, Jianhua Shan, Fuchun Sun, Huaping Liu, Di Guo, Yize Zhao

Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019

2018

Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data.

Yize Zhao, Jian Kang, Qi Long

IEEE ACM Trans. Comput. Biol. Bioinform., 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, Yiye Zhang, Yongjun Zhu, Joseph DeFerio, Lauren Evans, Sang Min Park, Jyotishman Pathak

J. Biomed. Informatics, 2018

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

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Subtyping Parkinson's Disease with Recurrent Neural Network Models.

Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang

Proceedings of the AMIA 2017, 2017

2016

Bayesian network feature finder (BANFF): an R package for gene network feature selection.

Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu

Bioinform., 2016

2013

AAPL: assessing association between <i>p</i>-value lists.

Tianwei Yu, Yize Zhao, Shihao Shen

Stat. Anal. Data Min., 2013