Sungwon Han

Orcid: 0000-0002-1129-760X

Affiliations:
  • Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea


According to our database1, Sungwon Han authored at least 19 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Active Learning for Human-in-the-Loop Customs Inspection.
IEEE Trans. Knowl. Data Eng., December, 2023

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.
Proceedings of the ACM Web Conference 2023, 2023

FedDefender: Client-Side Attack-Tolerant Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unified Neural Topic Model via Contrastive Learning and Term Weighting.
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.
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.
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.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Economic Indicators by Aggregating Multi-Level Geospatial Information.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Improving Unsupervised Image Clustering With Robust Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Elsa: Energy-based Learning for Semi-supervised Anomaly Detection.
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.
CoRR, 2020

Risk Communication in Asian Countries: COVID-19 Discourse on Twitter.
CoRR, 2020

A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm.
CoRR, 2020

Learning to Score Economic Development from Satellite Imagery.
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.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Comprehensive and Adversarial Approach to Self-Supervised Representation Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Lightweight and Robust Representation of Economic Scales from Satellite Imagery.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Sleep Quality from Daily Logs.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


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