Arbitrary-Scale Downscaling of Tidal Current Data Using Implicit Continuous Representation. - Dongheon Lee 001; Seungmyong Jeong; Youngmin Ro (IEEE Access, 2024)

MetaMixer Is All You Need. - Seokju Yun; Dongheon Lee 001; Youngmin Ro (CoRR, 2024)

Implicit Grid Convolution for Multi-Scale Image Super-Resolution. - Dongheon Lee 001; Seokju Yun; Youngmin Ro (CoRR, 2024)

SoRA: Singular Value Decomposed Low-Rank Adaptation for Domain Generalizable Representation Learning. - Seokju Yun; Seunghye Chae; Dongheon Lee 001; Youngmin Ro (CoRR, 2024)

SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning. - Seokju Yun; Seunghye Chae; Dongheon Lee 001; Youngmin Ro (CVPR, 2025)

Emulating Self-attention with Convolution for Efficient Image Super-Resolution. - Dongheon Lee 001; Seokju Yun; Youngmin Ro (ICCV, 2025)

Partial Large Kernel CNNs for Efficient Super-Resolution. - Dongheon Lee 001; Seokju Yun; Youngmin Ro (IEEE Access, 2026)

Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention. - Dongheon Lee 001; Seokju Yun; Jaegyun Im; Youngmin Ro (CoRR, 2026)

StAR: Segment Anything Reasoner. - Seokju Yun; Dongheon Lee 001; Noori Bae; Jaesung Jun; Chanseul Cho; Youngmin Ro (CoRR, 2026)