Star (*) denotes equal contribution.
2025
Sungwon Han*, Seungeon Lee*, Meeyoung Cha, Sercan O Arik, Jinsung Yoon, "Retrieval Augmented Time Series Forecasting", International Conference on Machine Learning (ICML), 2025
Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon, "LLM-Guided Self-Supervised Tabular Learning With Task-Specific Pre-text Tasks", Transactions on Machine Learning Research (TMLR), 2025
Seungeon Lee, Nina Corvelo Benz, Suhas Thejaswi, Manuel Gomez-Rodriguez, "Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes", Causal Learning and Reasoning (CLeaR), 2025
Minhyuk Song, Sungwon Han, Seungeon Lee, Donhyun Ahn, Jihee Kim, Meeyoung Cha, "Measuring Fine-Grained Urban Air Temperature with Satellite Imagery", Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
2024
Kyeongjin Ahn, Seungeon Lee, Sungwon Han, Cheng Yaw Low, Meeyoung Cha, "Uncertainty-aware face embedding with contrastive learning for open-set evaluation", IEEE Transactions on Information Forensics and Security (TIFS), 2024
2023
Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, and Meeyoung Cha, "DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision", International World Wide Web Conference (WWW), 2023
Donghyun Ahn, Minhyuk Song, Seungeon Lee, Yubin Choi, Jihee Kim, Sangyoon Park, Hyunjoo Yang, and Meeyoung Cha, "Fine-Grained Socioeconomic Prediction from Satellite Images with Distributional Adjustment", International Conference on Information and Knowledge Management (CIKM), 2023
Karandeep Singh*, Seungeon Lee*, Giuseppe (Joe) Labianca, Jesse Michael Fagan, and Meeyoung Cha, "Multi-Stage Machine Learning Model for Hierarchical Tie Valence Prediction", Transactions on Knowledge Discovery from Data (TKDD), 2023
Jiyoung Han, Seungeon Lee, and Meeyoung Cha, "The secret to successful evocative messages: Anger takes the lead in information sharing over anxiety", Communication Monographs, 2023
2022
Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, and Meeyoung Cha, "Self-explaining deep models with logic rule reasoning", Neural Information Processing Systems (NeurIPS), 2022
2021
Sungwon Han, Hyunho Song, Seungeon Lee, Sungwon Park, and Meeyoung Cha, "Elsa: Energy-based learning for semi-supervised anomaly detection", British Machine Vision Conference (BMVC), 2021
2020
Younggyoun Moon, Seungeon Lee, Muhammad Asim Jamshed, and Kyoungsoo Park, "AccelTCP: Accelerating Network Applications with Stateful TCP Offloading", Symposium on Networked Systems Design and Implementation (NSDI), 2020
Duckwoo Kim, Seungeon Lee, and Kyoungsoo Park, " A Case for SmartNIC-accelerated Private Communication", Asia-Pacific Workshop on Networking (APNet), 2020
2018
Younggyoun Moon, Ilwoo Park, Seungeon Lee, and Kyoungsoo park, "Accelerating flow processing middleboxes with programmable nics", Asia-Pacific Workshop on Systems (APSys), 2018