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Journal Articles
- 2022
[j3]Heechul Jung
, Yoonju Oh, Seongho Jeong, Chaehyeon Lee, Taegyun Jeon:
Contrastive Self-Supervised Learning With Smoothed Representation for Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)- [j2]Chaehyeon Lee, Jiuk Hong, Heechul Jung:
N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition. Sensors 22(17): 6671 (2022) - 2021
- [j1]Jaehyeop Choi, Chaehyeon Lee, Dong-Gyu Lee, Heechul Jung:
SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map. Sensors 21(24): 8444 (2021)
Conference and Workshop Papers
- 2024
- [c13]Chaehyeon Lee, Jonathan Heiss, Stefan Tai, James Won-Ki Hong:
End-to-End Verifiable Decentralized Federated Learning. ICBC 2024: 434-442 - 2023
- [c12]Jeong-Heon Kim, Minji Choi, Chaehyeon Lee, Jongsoo Woo, James Won-Ki Hong:
Service Applicable Blockchain-based Self-Sovereign Identity Management System. ICBC 2023: 1-5 - [c11]Chaehyeon Lee, Changhoon Kang, Heeju Ko, Jongsoo Woo, James Won-Ki Hong:
A Comprehensive and Quantitative Evaluation Method for Blockchain Protocols. ICBC 2023: 1-5 - [c10]Chaehyeon Lee, Jiuk Hong, Jonghyuck Lee, Taehoon Choi, Heechul Jung:
Ordinal Regression for Beef Grade Classification. ICCE 2023: 1-3 - 2022
- [c9]Chaehyeon Lee, Changhoon Kang, Wonseok Choi, Myunghun Cha, Jongsoo Woo, James Won-Ki Hong:
CODE: Blockchain-based Travel Rule Compliance System. Blockchain 2022: 222-229 - [c8]Chaehyeon Lee, Changhoon Kang, Wonseok Choi, Jehoon Lee, Myunghun Cha, Jongsoo Woo, James Won-Ki Hong:
Design of Blockchain-based Travel Rule Compliance System. ICBC 2022: 1-3 - 2021
- [c7]Chaehyeon Lee, Junghoon Seo, Heechul Jung:
Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner. CVPR Workshops 2021: 1172-1181 - 2020
- [c6]Changhoon Kang, Chaehyeon Lee, Kyungchan Ko, Jongsoo Woo, James Won-Ki Hong:
De-Anonymization of the Bitcoin Network Using Address Clustering. BlockSys 2020: 489-501 - [c5]Chaehyeon Lee, Sajan Maharjan, Kyungchan Ko, Jongsoo Woo, James Won-Ki Hong:
Machine Learning Based Bitcoin Address Classification. BlockSys 2020: 517-531 - 2019
- [c4]Chaehyeon Lee, Sajan Maharjan, Kyungchan Ko, James Won-Ki Hong:
Toward Detecting Illegal Transactions on Bitcoin Using Machine-Learning Methods. BlockSys 2019: 520-533 - [c3]Kyungchan Ko, Taeyeol Jeong, Sajan Maharjan, Chaehyeon Lee, James Won-Ki Hong:
Prediction of Bitcoin Transactions Included in the Next Block. BlockSys 2019: 591-597 - [c2]Chaehyeon Lee, Heegon Kim, Sajan Maharjan, Kyungchan Ko, James Won-Ki Hong:
Blockchain Explorer based on RPC-based Monitoring System. IEEE ICBC 2019: 117-119 - 2018
- [c1]Kyungchan Ko, Chaehyeon Lee, Taeyeol Jeong, James Won-Ki Hong:
Design of RPC-based Blockchain Monitoring Agent. ICTC 2018: 1090-1095
Informal and Other Publications
- 2024
- [i4]Chaehyeon Lee, Jonathan Heiss, Stefan Tai, James Won-Ki Hong:
End-to-End Verifiable Decentralized Federated Learning. CoRR abs/2404.12623 (2024) - 2022
- [i3]Chaehyeon Lee, Changhoon Kang, Wonseok Choi, Jehoon Lee, Myunghun Cha, Jongsoo Woo, James Won-Ki Hong:
Design of Blockchain-based Travel Rule Compliance System. CoRR abs/2204.13508 (2022) - [i2]Jiuk Hong, Chaehyeon Lee, Soyoun Bang, Heechul Jung:
Fair Comparison between Efficient Attentions. CoRR abs/2206.00244 (2022) - 2021
- [i1]Chaehyeon Lee, Junghoon Seo, Heechul Jung:
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner. CoRR abs/2105.14693 (2021)
Coauthor Index
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