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

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2026

Cross-Spectral Witness for Hidden Nonequilibrium Beyond the Scalar Ceiling

Yuda Bi, Vince D Calhoun

Partial observation is a pervasive obstacle in nonequilibrium physics: coarse graining may absorb hidden forcing into an apparently equilibrium-like reduced description, so a drive…

cond-mat.stat-mech2026

Timescale Coalescence Makes Hidden Persistent Forcing Spectrally Dark

Yuda Bi, Chenyu Zhang, Vince D Calhoun

Under coarse observation, unresolved slow forcing can remain dynamically active yet locally invisible to reduced spectral inference. For a solvable driven AR benchmark, the lo…

q-bio.QM2026

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

Yuda Bi, Huaiwen Zhang, Jingnan Sun +1

Protein structural ensembles from NMR spectroscopy capture biologically important conformational heterogeneity, but it remains difficult to determine whether observed variation ref…

cs.LG2026

Grokking as a Falsifiable Finite-Size Transition

Yuda Bi, Chenyu Zhang, Qiheng Wang +1

Grokking -- the delayed onset of generalization after early memorization -- is often described with phase-transition language, but that claim has lacked falsifiable finite-size inp…

eess.IV20231 cited

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

Yuda Bi, Anees Abrol, Jing Sui +1

The cross-modal synthesis between structural magnetic resonance imaging (sMRI) and functional network connectivity (FNC) is a relatively unexplored area in medical imaging, especia…

eess.IV20231 cited

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

Yuda Bi

Deep learning has become a prominent computational modeling tool in the areas of computer vision and image processing in recent years. This research comprehensively analyzes the di…