Yuda Bi

According to our database, Yuda Bi authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment.

Yuda Bi, Huaiwen Zhang, Jingnan Sun, Vince D. Calhoun

CoRR, March, 2026

Grokking as a Falsifiable Finite-Size Transition.

Yuda Bi, Chenyu Zhang, Qiheng Wang, Vince D. Calhoun

CoRR, March, 2026

Conditioning on a Volatility Proxy Compresses the Apparent Timescale of Collective Market Correlation.

Yuda Bi, Vince D. Calhoun

CoRR, March, 2026

Reservoir Subspace Injection for Online ICA under Top-n Whitening.

Wenjun Xiao, Yuda Bi, Vince D. Calhoun

CoRR, March, 2026

A 1/R Law for Kurtosis Contrast in Balanced Mixtures.

Yuda Bi, Wenjun Xiao, Linhao Bai, Vince D. Calhoun

CoRR, February, 2026

2025

Redundancy as a Structural Information Principle for Learning and Generalization.

Yuda Bi, Ying Zhu, Vince D. Calhoun

CoRR, October, 2025

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

CoRR, June, 2025

GM-LDM: Latent Diffusion Model for Brain Biomarker Identification through Functional Data-Driven Gray Matter Synthesis.

Hu Xu, Jingling Yang, Sihan Jia, Yuda Bi, Vince D. Calhoun

CoRR, June, 2025

GM-LDM: Latent Diffusion Guided by Functional Connectivity for Gray-Matter Generation and Biomarker Identification.

Xu Hu, Jingling Yang, Wenjun Xiao, Sihan Jia, Yutong Gao, Zening Fu, Vince D. Calhoun, Yuda Bi

Proceedings of the Predictive Intelligence in Medicine - 8th International Workshop, 2025

2024

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, 2024

Cross-Modal Synthesis of Structural MRI and Functional Connectivity Networks via Conditional ViT-GANs.

Yuda Bi, Anees Abrol, Jing Sui, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review.

Yuda Bi

CoRR, 2023

MultiViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data.

Yuda Bi, Anees Abrol, Zening Fu, Vince D. Calhoun

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022