Youngwan Jo

According to our database, Youngwan Jo authored at least 17 papers between 2024 and 2026.

Collaborative distances:

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

2026

Unified Video Anomaly Detection Model for Detecting Different Anomaly Types.

Kijung Lee, Youngwan Jo, Sunghyun Ahn, Sanghyun Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM.

Sunghyun Ahn, Youngwan Jo, Kijung Lee, Sein Kwon, Inpyo Hong, Sanghyun Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

SKIM: Semantic Knowledge Infused Modeling for Medical Report Generation.

Hyojeong Lee, Youngwan Jo, Inpyo Hong, Sanghyun Park

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

AMoE-BTS: An Adaptive Mixture of Experts for Clinical Decision Support in Multimodal Brain Tumor Segmentation.

Jeongeun Kim, Youngwan Jo, Sunghyun Ahn, Sanghyun Park

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

GranQ: Efficient Channel-wise Quantization via Vectorized Pre-Scaling for Zero-Shot QAT.

Inpyo Hong, Youngwan Jo, Hyojeong Lee, Sunghyun Ahn, Kijung Lee, Sanghyun Park

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

2025

Relation-Aware Bayesian Optimization of DBMS Configurations Guided by Affinity Scores.

Sein Kwon, Seulgi Baek, Hyunseo Yang, Youngwan Jo, Sanghyun Park

CoRR, October, 2025

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration.

Seungyeon Choi, Hwanhee Kim, Chihyun Park, Dahyeon Lee, Seungyong Lee, Yoonju Kim, Hyoungjoon Park, Sein Kwon, Youngwan Jo, Sanghyun Park

CoRR, August, 2025

GranQ: Granular Zero-Shot Quantization with Unified Layer-Channel Awareness.

Inpyo Hong, Youngwan Jo, Hyojeong Lee, Sunghyun Ahn, Sanghyun Park

CoRR, March, 2025

Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing.

Inpyo Hong, Youngwan Jo, Hyojeong Lee, Sunghyun Ahn, Sanghyun Park

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

MDVAD: Multimodal Diffusion for Video Anomaly Detection.

Kijung Lee, Youngwan Jo, Sunghyun Ahn, Sanghyun Park

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration.

Seungyeon Choi, Hwanhee Kim, Chihyun Park, Dahyeon Lee, Seungyong Lee, Yoonju Kim, Hyoungjoon Park, Sein Kwon, Youngwan Jo, Sanghyun Park

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LatentTune: Efficient Tuning of High Dimensional Database Parameters via Latent Representation Learning.

Sein Kwon, Youngwan Jo, Seungyeon Choi, Jieun Lee, Huijun Jin, Sang-Hyun Park

Proceedings of the 32nd IEEE International Conference on High Performance Computing, 2025

JAM: Unlocking SAM2 Without Training and Prompts via Medical-Aware Mask Selection.

Jeongeun Kim, Youngwan Jo, Sanghyun Park

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

MRNet: Multifaceted Resilient Networks for Medical Image-to-Image Translation.

Hyojeong Lee, Youngwan Jo, Inpyo Hong, Sanghyun Park

CoRR, 2024

Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer.

Seungkyun Hong, Sunghyun Ahn, Youngwan Jo, Sanghyun Park

IEEE Access, 2024

Dual Stream Fusion U-Net Transformers for 3D Medical Image Segmentation.

Seungkyun Hong, Sunghyun Ahn, Youngwan Jo, Sanghyun Park

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection.

Sunghyun Ahn, Youngwan Jo, Kijung Lee, Sanghyun Park

Proceedings of the Computer Vision - ACCV 2024, 2024