Sungwon Han

According to our database, Sungwon Han authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty-Aware Face Embedding With Contrastive Learning for Open-Set Evaluation.

Kyeongjin Ahn, SeungEon Lee, Sungwon Han, Cheng-Yaw Low, Meeyoung Cha

IEEE Trans. Inf. Forensics Secur., 2024

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection.

Sungwon Park, Sungwon Han, Meeyoung Cha

CoRR, 2024

GeoSEE: Regional Socio-Economic Estimation With a Large Language Model.

Sungwon Han, Donghyun Ahn, SeungEon Lee, Minhyuk Song, Sungwon Park, Sangyoon Park, Jihee Kim, Meeyoung Cha

CoRR, 2024

Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model.

Kyeongjin Ahn, Sungwon Han, Sungwon Park, Jihee Kim, Sangyoon Park, Meeyoung Cha

CoRR, 2024

FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning.

Sungwon Han, Hyeonho Song, Sungwon Park, Meeyoung Cha

CoRR, 2024

Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning.

Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Platform-Invariant Topic Modeling via Contrastive Learning to Mitigate Platform-Induced Bias.

Minseo Koo, Doeun Kim, Sungwon Han, Sungkyu Park

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Active Learning for Human-in-the-Loop Customs Inspection.

Sundong Kim, Tung-Duong Mai, Sungwon Han, Sungwon Park, Thi Nguyen Duc Khanh, Jaechan So, Karandeep Singh, Meeyoung Cha

IEEE Trans. Knowl. Data Eng., December, 2023

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.

Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha

Proceedings of the ACM Web Conference 2023, 2023

FedDefender: Client-Side Attack-Tolerant Federated Learning.

Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.

Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unified Neural Topic Model via Contrastive Learning and Term Weighting.

Sungwon Han, Mingi Shin, Sungkyu Park, Changwook Jung, Meeyoung Cha

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Using Web Data to Reveal 22-Year History of Sneaker Designs.

Sungkyu Park, Hyeonho Song, Sungwon Han, Berhane Weldegebriel, Lev Manovich, Emanuele Arielli, Meeyoung Cha

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Self-explaining deep models with logic rule reasoning.

Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.

Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Improving Unsupervised Image Clustering With Robust Learning.

Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Elsa: Energy-based Learning for Semi-supervised Anomaly Detection.

Sungwon Han, Hyeonho Song, SeungEon Lee, Sungwon Park, Meeyoung Cha

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

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, Sungwon Park, Karandeep Singh, Meeyoung Cha

CoRR, 2020

Risk Communication in Asian Countries: COVID-19 Discourse on Twitter.

Sungkyu Park, Sungwon Han, Jeongwook Kim, Mir Majid Molaie, Hoang Dieu Vu, Karandeep Singh, Jiyoung Han, Wonjae Lee, Meeyoung Cha

CoRR, 2020

A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm.

Sungwon Han, Yizhan Xu, Sungwon Park, Meeyoung Cha, Cheng-Te Li

CoRR, 2020

Learning to Score Economic Development from Satellite Imagery.

Sungwon Han, Donghyun Ahn, Sungwon Park, Jeasurk Yang, Susang Lee, Jihee Kim, Hyunjoo Yang, Sangyoon Park, Meeyoung Cha

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification.

Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha

Proceedings of the Computer Vision - ECCV 2020, 2020

A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning.

Yizhan Xu, Sungwon Han, Sungwon Park, Meeyoung Cha, Cheng-Te Li

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Lightweight and Robust Representation of Economic Scales from Satellite Imagery.

Sungwon Han, Donghyun Ahn, Hyunji Cha, Jeasurk Yang, Sungwon Park, Meeyoung Cha

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Sleep Quality from Daily Logs.

Sungkyu Park, Cheng-Te Li, Sungwon Han, Cheng Hsu, Sang Won Lee, Meeyoung Cha

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019