collaborators

7 papers

cs.SD2026

Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrograms

Heehwan Wang, Joonwoo Kwon, Sooyoung Kim +4

Music style transfer blends source structure with reference style to enable personalized music creation. However, existing zero-shot methods often struggle to capture fine-grained…

cs.LG2026

A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis

Sk Miraj Ahmed, Yuewei Lin, Chuntian Cao +9

Scanning Electron Microscopy (SEM) is indispensable in modern materials science, enabling high-resolution imaging across a wide range of structural, chemical, and functional invest…

cond-mat.mtrl-sci2026

Substrate-Mediated Evaporation and Stochastic Evolution of Supported Au Nanoparticles

Dmitri N. Zakharov, Xiaohui Qu, Hong Wang +6

We use in situ transmission electron microscopy with automated tracking to study supported gold nanoparticles (NPs) during high-temperature vacuum annealing. \rev{The average mass…

eess.IV2025

Macro2Micro: A Rapid and Precise Cross-modal Magnetic Resonance Imaging Synthesis using Multi-scale Structural Brain Similarity

Sooyoung Kim, Joonwoo Kwon, Junbeom Kwon +5

The human brain is a complex system requiring both macroscopic and microscopic components for comprehensive understanding. However, mapping nonlinear relationships between these sc…

physics.data-an2025

TPCpp-10M: Simulated proton-proton collisions in a Time Projection Chamber for AI Foundation Models

Shuhang Li, Yi Huang, David Park +10

Scientific foundation models hold great promise for advancing nuclear and particle physics by improving analysis precision and accelerating discovery. Yet, progress in this field i…

cs.LG2025

FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics

David Park, Shuhang Li, Yi Huang +9

Large language models have revolutionized artificial intelligence by enabling large, generalizable models trained through self-supervision. This paradigm has inspired the developme…