Publications

Quantile-Free Uncertainty Quantification in Graph Neural Networks

Soyoung Park, Hwanjun Song, and Sungsu Lim†

International Conference on Machine Learning

Quantile-free prediction intervals for uncertainty quantification in graph neural networks.

DisCoRec: Disentangled Conformity-aware Recommendation with LLM-Guided Multi-View Learning

Minkyung Song, Soyoung Park†, and Sungsu Lim†

ACM SIGIR Conference on Research and Development in Information Retrieval

LLM-guided multi-view learning for disentangled, conformity-aware recommendation.

MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract)

Minkyung Song, Soyoung Park, and Sungsu Lim†

AAAI Conference on Artificial Intelligence

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†

IEEE/CVF Winter Conference on Applications of Computer Vision

Dynamic Periodic Event Graphs for Multivariate Time Series Pattern Prediction

Soyoung Park, Hyewon Lee, and Sungsu Lim†

PeerJ Computer Science

FnRGNN: Distribution-aware Fairness in Graph Neural Network

Soyoung Park and Sungsu Lim†

ACM International Conference on Information and Knowledge Management

Distribution-aware fairness in graph neural networks through interventions at the structure, representation, and prediction levels.

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†

Pacific-Asia Conference on Knowledge Discovery and Data Mining

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 Web Conference · EReL@MIR Workshop