Learning Sleep Quality from Daily Logs. - Sungkyu Park; Cheng-Te Li; Sungwon Han 001; Cheng Hsu; Sang Won Lee 004; Meeyoung Cha (KDD, 2019)

Lightweight and Robust Representation of Economic Scales from Satellite Imagery. - Sungwon Han 001; Donghyun Ahn; Hyunji Cha; Jeasurk Yang; Sungwon Park 001; Meeyoung Cha (AAAI, 2020)

A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning. - Yizhan Xu; Sungwon Han 001; Sungwon Park 001; Meeyoung Cha; Cheng-Te Li (IEEE BigData, 2020)

Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification. - Sungwon Han 001; Sungwon Park 001; Sungkyu Park; Sundong Kim; Meeyoung Cha (ECCV (24), 2020)

Learning to Score Economic Development from Satellite Imagery. - Sungwon Han 001; Donghyun Ahn; Sungwon Park 001; Jeasurk Yang; Susang Lee; Jihee Kim; Hyunjoo Yang; Sangyoon Park; Meeyoung Cha (KDD, 2020)

A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm. - Sungwon Han 001; Yizhan Xu; Sungwon Park 001; Meeyoung Cha; Cheng-Te Li (CoRR, 2020)

Risk Communication in Asian Countries: COVID-19 Discourse on Twitter. - Sungkyu Park; Sungwon Han 001; Jeongwook Kim; Mir Majid Molaie; Hoang Dieu Vu; Karandeep Singh; Jiyoung Han; Wonjae Lee; Meeyoung Cha (CoRR, 2020)

Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning. - Sundong Kim; Tung-Duong Mai; Thi Nguyen Duc Khanh; Sungwon Han 001; Sungwon Park 001; Karandeep Singh; Meeyoung Cha (CoRR, 2020)

Elsa: Energy-based Learning for Semi-supervised Anomaly Detection. - Sungwon Han 001; Hyeonho Song; SeungEon Lee 001; Sungwon Park 001; Meeyoung Cha (BMVC, 2021)

Improving Unsupervised Image Clustering With Robust Learning. - Sungwon Park 001; Sungwon Han 001; Sundong Kim; Danu Kim; Sungkyu Park; Seunghoon Hong; Meeyoung Cha (CVPR, 2021)

Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. - Sungwon Park 001; Sungwon Han 001; Donghyun Ahn; Jaeyeon Kim; Jeasurk Yang; Susang Lee; Seunghoon Hong; Jihee Kim; Sangyoon Park; Hyunjoo Yang; Meeyoung Cha (AAAI, 2022)

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. - Sungwon Han 001; Sungwon Park 001; Fangzhao Wu; Sundong Kim; Chuhan Wu; Xing Xie 001; Meeyoung Cha (ECCV (30), 2022)

Self-explaining deep models with logic rule reasoning. - Seungeon Lee 001; Xiting Wang; Sungwon Han 001; Xiaoyuan Yi; Xing Xie 001; Meeyoung Cha (NeurIPS, 2022)

Using Web Data to Reveal 22-Year History of Sneaker Designs. - Sungkyu Park; Hyeonho Song; Sungwon Han 001; Berhane Weldegebriel; Lev Manovich; Emanuele Arielli; Meeyoung Cha (WWW, 2022)

Unified Neural Topic Model via Contrastive Learning and Term Weighting. - Sungwon Han 001; Mingi Shin; Sungkyu Park; Changwook Jung; Meeyoung Cha (EACL, 2023)

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. - Sungwon Han 001; Sungwon Park 001; Fangzhao Wu; Sundong Kim; Bin Zhu 008; Xing Xie 001; Meeyoung Cha (ICCV, 2023)

FedDefender: Client-Side Attack-Tolerant Federated Learning. - Sungwon Park 001; Sungwon Han 001; Fangzhao Wu; Sundong Kim; Bin Zhu 008; Xing Xie 001; Meeyoung Cha (KDD, 2023)

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. - Sungwon Han 001; SeungEon Lee 001; Fangzhao Wu; Sundong Kim; Chuhan Wu; Xiting Wang; Xing Xie 001; Meeyoung Cha (WWW, 2023)

Active Learning for Human-in-the-Loop Customs Inspection. - Sundong Kim; Tung-Duong Mai; Sungwon Han 001; Sungwon Park 001; Thi Nguyen Duc Khanh; Jaechan So; Karandeep Singh; Meeyoung Cha (IEEE Trans. Knowl. Data Eng., 2023)

Platform-Invariant Topic Modeling via Contrastive Learning to Mitigate Platform-Induced Bias. - Minseo Koo; Doeun Kim; Sungwon Han 001; Sungkyu Park (EMNLP (Findings), 2024)

Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. - Sungwon Han 001; Jinsung Yoon; Sercan Ö. Arik; Tomas Pfister (ICML, 2024)

FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning. - Sungwon Han 001; Hyeonho Song; Sungwon Park 001; Meeyoung Cha (CoRR, 2024)

GeoSEE: Regional Socio-Economic Estimation With a Large Language Model. - Sungwon Han 001; Donghyun Ahn; SeungEon Lee 001; Minhyuk Song; Sungwon Park 001; Sangyoon Park; Jihee Kim; Meeyoung Cha (CoRR, 2024)

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. - Sungwon Park 001; Sungwon Han 001; Meeyoung Cha (CoRR, 2024)

Uncertainty-Aware Face Embedding With Contrastive Learning for Open-Set Evaluation. - Kyeongjin Ahn; SeungEon Lee 001; Sungwon Han 001; Cheng-Yaw Low; Meeyoung Cha (IEEE Trans. Inf. Forensics Secur., 2024)

Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model. - Kyeongjin Ahn; Sungwon Han 001; Sungwon Park 001; Jihee Kim; Sangyoon Park; Meeyoung Cha (AAAI, 2025)

Measuring Fine-Grained Urban Air Temperature with Satellite Imagery. - Minhyuk Song; Sungwon Han 001; SeungEon Lee 001; Donghyun Ahn; Jihee Kim; Meeyoung Cha (AAAI, 2025)

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. - Sungwon Park 001; Sungwon Han 001; Xing Xie 001; Jae-Gil Lee 001; Meeyoung Cha (WWW, 2025)

LLM-Guided Self-Supervised Tabular Learning With Task-Specific Pre-text Tasks. - Sungwon Han 001; Seungeon Lee 001; Meeyoung Cha; Sercan Ö. Arik; Jinsung Yoon (Trans. Mach. Learn. Res., 2025)

Retrieval Augmented Time Series Forecasting. - Sungwon Han 001; Seungeon Lee 001; Meeyoung Cha; Sercan Ö. Arik; Jinsung Yoon (CoRR, 2025)

Tabular Feature Discovery With Reasoning Type Exploration. - Sungwon Han 001; Sungkyu Park; Seungeon Lee 001 (CoRR, 2025)

GeoReg: Weight-Constrained Few-Shot Regression for Socio-Economic Estimation using LLM. - Kyeongjin Ahn; Sungwon Han 001; Seungeon Lee 001; Donghyun Ahn; Hyoshin Kim; Jungwon Kim; Jihee Kim; Sangyoon Park; Meeyoung Cha (CoRR, 2025)