Publications

Peer-reviewed publications by Yuda Bi on statistical physics, information geometry, spectral graph theory, and theoretical neuroscience.

Keywords

Yuda Bi, publications, statistical physics, information geometry, quartic detection law, spectral graph theory, neuroimaging, Physical Review Letters

Research Record

Publications

Peer-reviewed journal articles, conference papers, and preprints spanning statistical physics, information geometry, spectral methods, and neuroimaging.

Under Review

Cross Spectra Break the Single-Channel Impossibility Yuda Bi, Vince D. Calhoun Under review at Physical Review Letters

Why Single Probes Cannot Detect Hidden Forcing: A Quartic Detection Law Yuda Bi, Vince D. Calhoun Under review at Physical Review Letters

Grokking as a Falsifiable Finite-Size Transition Yuda Bi, Chenyu Zhang, Qiheng Wang, Vince D. Calhoun Under review at Physical Review Letters arXiv PDF

Timescale Coalescence Makes Hidden Persistent Forcing Spectrally Dark Yuda Bi, Chenyu Zhang, Vince D. Calhoun Under review at Physical Review E arXiv PDF

Conditioning on a Volatility Proxy Compresses the Apparent Timescale of Collective Market Correlation Yuda Bi, Vince D. Calhoun Under review at Physical Review E arXiv PDF

Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment Yuda Bi, Huaiwen Zhang, Jingnan Sun, Vince D. Calhoun Under review at IEEE Journal of Biomedical and Health Informatics arXiv PDF

Spectral Graph Features Capture Global Topology for Reference-free RNA 3D Structure Quality Assessment Ying Zhu, Huaiwen Zhang, Vince D. Calhoun^†, Yuda Bi^† Under review at Briefings in Bioinformatics

A 1/R Law for Kurtosis Contrast in Balanced Mixtures Yuda Bi, Wenjun Xiao, Linhao Bai, Vince D. Calhoun IEEE Signal Processing Letters arXiv PDF

In Preparation

Gray Matter Morphometry Reveals a Soft Low-Rank Structure-Function Subspace Yuda Bi, Vince D. Calhoun In preparation for NeuroImage

Journal Articles

Gray Matters: ViT-GAN Framework for Identifying Schizophrenia Biomarkers Linking Structural MRI and Functional Network Connectivity Yuda Bi, Anees Abrol, Sihan Jia, Jing Sui, Vince D. Calhoun NeuroImage, 297, 120674, 2024 DOI PDF

A Multimodal Vision Transformer for Interpretable Fusion of Functional and Structural Neuroimaging Data Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun Human Brain Mapping, 45(17), e26783, 2024 DOI PubMed PDF

Prediction of Gender from Longitudinal MRI Data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period Yuda Bi, Anees Abrol, Zening Fu, Jiayu Chen, Jingyu Liu, Vince Calhoun Journal of Neuroscience Methods, 384, 109744, 2023 DOI

Conference Papers

MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model Yuda Bi, Sihan Jia, Yutong Gao, Anees Abrol, Zening Fu, Vince D. Calhoun IEEE ISBI, 2025 arXiv PDF

GM-LDM: Latent Diffusion Model for Brain Biomarker Identification through Functional Data-Driven Gray Matter Synthesis Xu Hu, Jingling Yang, Sihan Jia, Yuda Bi, Vince D. Calhoun IEEE ISBI, 2025 arXiv PDF

Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun IEEE ISBI, 2024 arXiv IEEE

MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun IEEE ISBI, 2023 IEEE

Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD Study Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun IEEE EMBC, 2022 IEEE