Cha, Meeyoung

21 publications

IJCAI 2025 Classifying and Tracking International Aid Contribution Towards SDGs Sungwon Park, Dongjoon Lee, Kyeongjin Ahn, Yubin Choi, Junho Lee, Meeyoung Cha, Kyung Ryul Park

ICLRW 2025 Exploring Persona-Dependent LLM Alignment for the Moral Machine Experiment Jiseon Kim, Jea Kwon, Luiz Felipe Vecchietti, Alice Oh, Meeyoung Cha

AAAI 2025 Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model Kyeongjin Ahn, Sungwon Han, Sungwon Park, Jihee Kim, Sangyoon Park, Meeyoung Cha

TMLR 2025 LLM-Guided Self-Supervised Tabular Learning with Task-Specific Pre-Text Tasks Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon

AAAI 2025 Measuring Fine-Grained Urban Air Temperature with Satellite Imagery Minhyuk Song, Sungwon Han, SeungEon Lee, Donghyun Ahn, Jihee Kim, Meeyoung Cha

ICML 2025 Retrieval Augmented Time Series Forecasting Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon

ICML 2024 Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space Minji Lee, Luiz Felipe Vecchietti, Hyunkyu Jung, Hyun Joo Ro, Meeyoung Cha, Ho Min Kim

IJCAI 2024 Self-Supervised Vision for Climate Downscaling Karandeep Singh, Chaeyoon Jeong, Naufal Shidqi, Sungwon Park, Arjun Nellikkattil, Elke Zeller, Meeyoung Cha

IJCAI 2023 Machine Learning Driven Aid Classification for Sustainable Development Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung Ryul Park

ICCV 2023 Towards Attack-Tolerant Federated Learning via Critical Parameter Analysis Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

NeurIPS 2023 Transformer as a Hippocampal Memory Consolidation Model Based on NMDAR-Inspired Nonlinearity Dong Kyum Kim, Jea Kwon, Meeyoung Cha, C. Lee

ECCV 2022 FedX: Unsupervised Federated Learning with Cross Knowledge Distillation Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha

AAAI 2022 Knowledge Sharing via Domain Adaptation in Customs Fraud Detection Sungwon Park, Sundong Kim, Meeyoung Cha

AAAI 2022 Learning Economic Indicators by Aggregating Multi-Level Geospatial Information Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha

NeurIPS 2022 Self-Explaining Deep Models with Logic Rule Reasoning Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha

CVPR 2021 Improving Unsupervised Image Clustering with Robust Learning Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha

NeurIPSW 2020 Human-in-the-Loop Solution for Scoring Economic Development from Geospatial Data Sungwon Park, Donghyun Ahn, Sungwon Han, Eunji Lee, Danu Kim, Jeasurk Yang, Susang Lee, Sangyoon Park, Hyunjoo Yang, Jihee Kim, Meeyoung Cha

AAAI 2020 Lightweight and Robust Representation of Economic Scales from Satellite Imagery Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha

ECCV 2020 Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha

AAAI 2019 Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung

IJCAI 2016 Detecting Rumors from Microblogs with Recurrent Neural Networks Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, Meeyoung Cha