Star (*) denotes equal contribution.
2025
Seungeon Lee*, Heejin Bin*, Sungwon Han, Meeyoung Cha, "Denoising Attribution Maps Through Gradient Analysis of Critical Parameters", Pattern Recognition, 2025
Seungeon Lee, Xiting Wang, Ansen Zhang, Sungwon Han, Jing Yao, Xiaoyuan Yi, Xing Xie, Meeyoung Cha, "Toward Faithful and Human-aligned Self-explanation of Deep Models", npj Artificial Intelligence, 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