Sep 24, 2026
Paper Accepted
Publication
Efficient Test-time Adaptation through Candidate Verification and Divergence Shifts Differentiable Bit-Widths: Co-optimizing Pruning and Quantization via SVD for Ultra-Efficient LLM Compression
Seungmin Oh, Seunghun Kang, Jongbin Ryu, Hankyul Kang
Sep 5, 2026
Paper Accepted
Publication
FlowVLA: Enabling World Dynamics Understanding through Pluggable 3D Flow Learning
Junhyeong Go, Mingyu Jung, Woobin Im, Jongbin Ryu
Sep 4, 2026
Paper Accepted
Publication
One-Cycle Based Battery Remaining Useful Life Prediction by Continuous Wavelet Scale Compression with Deep Neural Networks
Sungeun Kim, Mingyu Jung, Yuri Kim, Jin-Sung Park, Jongbin Ryu
Aug 21, 2026
Paper Accepted
Publication
Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language Models
Seungmin Oh, Seunghun Kang, Jongbin Ryu
Aug 21, 2026
Paper Accepted
Publication
Colla-Q: Toward Collaborative Experts in MoE Quantization via Minimax Precision Balancing Layer-wise Curriculum Learning for Efficient LLM Compression Train Overcomplete, Deploy Compact: Scaling Recovery Capacity for Structured LLM Pruning
EunJu Shin, Jongbin Ryu, Donggeon Lee, Dooyeon Na, Seungmin Oh
Jul 23, 2026
New Member
Lab update
Hyeonbin Kim, Hyeongwoo Kim, and Myungkwon Shin
MMAI Lab Interns
Mar 20, 2026
New Member
Lab update
Jihoon Park, Junwon Bae, Seungwon Lee, AhReam Lee, and Bonghyun Jang
MMAI Lab Interns
Feb 20, 2026
Graduation
Lab update
Kyusung Nam, Gregor Seifer, Dongkyu Kim, and Euihak Heo
MMAI Lab Alumni
Feb 18, 2026
Paper Accepted
Publication
Our work on robust visual representation learning was accepted for publication.
Sungeun Kim, Jongbin Ryu
Feb 7, 2026
General Update
Lab update
Lab members shared current experiments and discussion notes from ongoing projects.
MMAI Lab Seminar Team
Dec 3, 2025
General Update
Lab update
16 GPUs were added, bringing the lab cluster to 144 GPUs in total.
Lab Infrastructure Team
Oct 28, 2025
New Member
Lab update
HoHyeon Han and Yoonsoo Park
MMAI Lab Interns
Oct 2, 2025
General Update
Lab update
Research exchange session held with an industrial R&D team on applied vision and learning systems.
MMAI Lab + Partner R&D Group
Sep 11, 2025
General Update
Lab update
Internal workshop covered annotation quality, uncertainty, and deployment constraints.
Biomedical AI Group
Aug 22, 2025
Graduation
Lab update
Soohyeon Pyo
MMAI Lab Alumni
Jun 1, 2025
Paper Accepted
Publication
Do Your Best and Get Enough Rest for Continual Learning
Hankyul Kang, Gregor Seifer, Donghyun Lee, Jongbin Ryu
May 28, 2025
Paper Accepted
Publication
A medical imaging paper from MMAI Lab was accepted after peer review.
Biomedical AI Group
Feb 21, 2025
Graduation
Lab update
Inhyuk Park and Sunki Joo
MMAI Lab Alumni
Jan 1, 2025
Paper Accepted
Publication
Channel Propagation Networks for Refreshable Vision Transformer Enriching Local Patterns with Multi-Token Attention for Broad-Sight Neural Networks
Junhyeong Go, Jongbin Ryu, Hankyul Kang
Dec 29, 2024
Paper Accepted
Publication
Style-KD : Class-Imbalanced Medical Image Classification via Style Knowledge Distillation
Inhyuk Park, Won Hwa Kim, Jongbin Ryu
Dec 1, 2024
Paper Accepted
Publication
Generative Self-Supervised Learning for Medical Image Classification Neural Substitution for Branch-level Network Re-parameterization
Inhyuk Park, Sungeun Kim, Jongbin Ryu, Seungmin Oh
Nov 25, 2024
Paper Accepted
Publication
Unsupervised Hashing Network with Hyper Quantization Tree
Sungeun Kim, Jongbin Ryu
Nov 8, 2024
General Update
Lab update
Visitors explored ongoing projects and discussed possible collaboration opportunities.
MMAI Lab
Oct 4, 2024
Paper Accepted
Publication
Spatial Bias for Attention-free Non-local Neural Networks
Junhyeong Go, Jongbin Ryu
Apr 21, 2024
Paper Accepted
Publication
Attentional Decoder Networks for Chest X-ray Image Recognition on High-resolution Features
Hankyul Kang, Namkug Kim, Jongbin Ryu
Apr 16, 2024
Paper Accepted
Publication
Analyzing to Discover Origins of CNNs and ViT Architectures in Medical Images
Seungmin Oh, Namkug Kim, Jongbin Ryu
Jan 1, 2024
Paper Accepted
Publication
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
CVAMD participants including Jongbin Ryu
Jan 1, 2024
Paper Accepted
Publication
Fine-Grained Self-Supervised Learning with Jigsaw puzzles for medical image classification
Wongi Park, Jongbin Ryu
Dec 1, 2023
Paper Accepted
Publication
Deep Learning Using Computed Tomography to Identify High-Risk Patients for Acute Small Bowel Obstruction: Development and Validation of a Prediction Model: A Retrospective Cohort Study
Seungmin Oh, Jongbin Ryu, Ho-Jung Shin, Jeong Ho Song, Sang-Yong Son, Hoon Hur, Sang-Uk Han
Oct 2, 2023
Paper Accepted
Publication
Gramian Attention Heads are Strong yet Efficient Vision Learners
Jongbin Ryu*, Dongyoon Han*, Jongwoo Lim (*co-first author)
Aug 22, 2023
Graduation
Lab update
Jihoon Kim and Hyunsoo Park
MMAI Lab Alumni
Aug 10, 2023
Paper Accepted
Publication
Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
Wongi Park, Inhyuk Park, Sungeun Kim, Jongbin Ryu
Jan 25, 2023
Paper Accepted
Publication
Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography
Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh*, Jongbin Ryu*, Jongwoo Lim, Bo-kyeong Kang, Juncheol Lee, Dong-Kyoon Han (*corresponding author)
Jan 1, 2021
Paper Accepted
Publication
Dual Aggregated Feature Pyramid Network for Multi Label Classification
Dongjoo Yun, Jongbin Ryu*, Jongwoo Lim (*corresponding author)
Jan 1, 2021
Paper Accepted
Publication
End-to-End Learning for Omnidirectional Stereo Matching with Uncertainty Prior
Changhee Won, Jongbin Ryu, Jongwoo Lim
Jan 1, 2021
Paper Accepted
Publication
Unsupervised Feature Learning for Self-Tuning Neural Networks
Jongbin Ryu, Ming-Hsuan Yang, Jongwoo Lim
Apr 26, 2020
Paper Accepted
Publication
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition
Jongbin Ryu, Gitaek Kwon, Ming-Hsuan Yang, Jongwoo Lim
Jan 1, 2020
Paper Accepted
Publication
Deep Learning Algorithms for Detecting and Visualising Intussusception on Plain Abdominal Radiography in Children: A Retrospective Multicenter Study
Gitaek Kwon*, Jongbin Ryu*, Jaehoon Oh, Jongwoo Lim, Bo-kyeong Kang, Chiwon Ahn, Junwon Bae, Dong Keon Lee (*co-first author)
Jan 1, 2020
Paper Accepted
Publication
Unsupervised Face Domain Transfer for Low-Resolution Face Recognition
Sungeun Hong, Jongbin Ryu* (*corresponding author)
Oct 27, 2019
Paper Accepted
Publication
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
Changhee Won, Jongbin Ryu, Jongwoo Lim
May 20, 2019
Paper Accepted
Publication
SweepNet: Wide-baseline Omnidirectional Depth Estimation
Changhee Won, Jongbin Ryu, Jongwoo Lim
Sep 8, 2018
Paper Accepted
Publication
DFT-based Transformation Invariant Pooling Layer for Visual Classification
Jongbin Ryu, Ming-Hsuan Yang, Jongwoo Lim