Sungwon Han

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Satellite Imagery

Exploration Exploitation Tradeoff

Top Venues

Publications

Kyeongjin Ahn, SeungEon Lee, Sungwon Han, Cheng-Yaw Low, Meeyoung Cha
Uncertainty-Aware Face Embedding With Contrastive Learning for Open-Set Evaluation. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. CoRR (2024)
Sungwon Park, Sungwon Han, Meeyoung Cha
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection. CoRR (2024)
Sungwon Han, Donghyun Ahn, SeungEon Lee, Minhyuk Song, Sungwon Park, Sangyoon Park, Jihee Kim, Meeyoung Cha
GeoSEE: Regional Socio-Economic Estimation With a Large Language Model. CoRR (2024)
Sungwon Han, Hyeonho Song, Sungwon Park, Meeyoung Cha
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning. CoRR (2024)
Kyeongjin Ahn, Sungwon Han, Sungwon Park, Jihee Kim, Sangyoon Park, Meeyoung Cha
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model. CoRR (2024)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR (2023)
Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW (2023)
Sundong Kim, Tung-Duong Mai, Sungwon Han, Sungwon Park, Thi Nguyen Duc Khanh, Jaechan So, Karandeep Singh, Meeyoung Cha
Active Learning for Human-in-the-Loop Customs Inspection. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. ICCV (2023)
Sungwon Han, Mingi Shin, Sungkyu Park, Changwook Jung, Meeyoung Cha
Unified Neural Topic Model via Contrastive Learning and Term Weighting. EACL (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR (2023)
Sungkyu Park, Hyeonho Song, Sungwon Han, Berhane Weldegebriel, Lev Manovich, Emanuele Arielli, Meeyoung Cha
Using Web Data to Reveal 22-Year History of Sneaker Designs. WWW (2022)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR (2022)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) (2022)
Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
Self-explaining deep models with logic rule reasoning. NeurIPS (2022)
Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. CoRR (2022)
SeungEon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
Self-explaining deep models with logic rule reasoning. CoRR (2022)
Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. AAAI (2022)
Sungwon Han, Hyeonho Song, Seungeon Lee, Sungwon Park, Meeyoung Cha
Elsa: Energy-based learning for semi-supervised anomaly detection. CoRR (2021)
Sungwon Han, Hyeonho Song, SeungEon Lee, Sungwon Park, Meeyoung Cha
Elsa: Energy-based Learning for Semi-supervised Anomaly Detection. BMVC (2021)
Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Improving Unsupervised Image Clustering With Robust Learning. CVPR (2021)
Sungkyu Park, Sungwon Han, Jeongwook Kim, Mir Majid Molaie, Hoang Dieu Vu, Karandeep Singh, Jiyoung Han, Wonjae Lee, Meeyoung Cha
Risk Communication in Asian Countries: COVID-19 Discourse on Twitter. CoRR (2020)
Sundong Kim, Tung-Duong Mai, Thi Nguyen Duc Khanh, Sungwon Han, Sungwon Park, Karandeep Singh, Meeyoung Cha
Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning. CoRR (2020)
Sungwon Han, Donghyun Ahn, Sungwon Park, Jeasurk Yang, Susang Lee, Jihee Kim, Hyunjoo Yang, Sangyoon Park, Meeyoung Cha
Learning to Score Economic Development from Satellite Imagery. KDD (2020)
Yizhan Xu, Sungwon Han, Sungwon Park, Meeyoung Cha, Cheng-Te Li
A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning. IEEE BigData (2020)
Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li
A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm. CoRR (2020)
Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Improving Unsupervised Image Clustering With Robust Learning. CoRR (2020)
Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification. ECCV (24) (2020)
Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha
Lightweight and Robust Representation of Economic Scales from Satellite Imagery. AAAI (2020)
Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha
Lightweight and Robust Representation of Economic Scales from Satellite Imagery. CoRR (2019)
Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, Meeyoung Cha
Learning Sleep Quality from Daily Logs. KDD (2019)