MR-Pruner: Training-free Multi-resolution Visual Token Pruning for Multi-modal Large Language Models
Seunghoon Han, Hyewon Lee, SoYoung Park, Jong-Ryul Lee*, and Sungsu Lim*
WACV accepted, Mar. 2026.
Zero-shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
SoYoung Park†, Hyewon Lee† , Mingyu Choi, Seunghoon Han, Jong-Ryul Lee*, Sungsu Lim*, and Tae-Ho Kim*
PAKDD, Jun. 2025. [paper] (BK21 IF: 1)
Diverse Knowledge Selection for Enhanced Zero-shot Visual Question Answering
Seunghoon Han† , Mingyu Choi† , Hyewon Lee, SoYoung Park, Jong-Ryul Lee*, Sungsu Lim*, and Tae-Ho Kim*
ACM WWW (Workshop: EReL@MIR), Apr. 2025. [paper]
Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
Jongmin Park, Seunghoon Han, Jong-Ryul Lee*, and Sungsu Lim*
IEEE ICDM, Dec. 2024. [paper] (BK21 IF: 3, short)
Hyperbolic Heterogeneous Graph Attention Networks
Jongmin Park, Seunghoon Han, Soohwan Jeong, and Sungsu Lim*
ACM WWW, May 2024. [paper] (BK21 IF: 4, short)
Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting
Seunghoon Han, Sungsoo Kim*, and Sungsu Lim*
IEEE BigData (Poster), Dec. 2023. [paper]
Sequence-aware Adaptive Graph Convolutional Recurrent Networks for Traffic Forecasting
Seunghoon Han, Hyewon Lee, Daniel Y. Lee, Sungsoo Kim, Susik Yoon*, and Sungsu Lim*
Knowledge-Based Systems, Nov. 2025. [paper] (SCIE, IF: 7.6, Q1)
N/A