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Sundong Kim
Sundong Kim
Assistant Professor, GIST
Verified email at gist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Improving Unsupervised Image Clustering With Robust Learning
S Park, S Han, S Kim, D Kim, S Park, S Hong, M Cha
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
1032021
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
S Han, S Park, F Wu, S Kim, C Wu, X Xie, M Cha
ECCV, 2022
512022
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification
S Han, S Park, S Park, S Kim, M Cha
European Conference on Computer Vision (ECCV), 2020
362020
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection
S Kim, YC Tsai, K Singh, Y Choi, E Ibok, CT Li, M Cha
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020
302020
Disruption in the Chinese E-Commerce During COVID-19
Y Yuan, M Guan, Z Zhou, S Kim, M Cha, D Jin, Y Li
Frontiers in Computer Science, 2021
212021
Carpe Diem, Seize the Samples Uncertain" At the Moment" for Adaptive Batch Selection
H Song, M Kim, S Kim, JG Lee
Conference on Information and Knowledge Management (CIKM), 2020
162020
Friend recommendation with a target user in social networking services
S Kim
IEEE International Conference on Data Engineering (ICDE PhD Symposium), 235-239, 2015
162015
Ada-boundary: accelerating DNN training via adaptive boundary batch selection
H Song, S Kim, M Kim, JG Lee
Machine Learning, 1-17, 2020
152020
Active Learning for Human-in-the-loop Customs Inspection
S Kim, TD Mai, S Han, S Park, TND Khanh, J So, K Singh, M Cha
IEEE TKDE 35 (12), 12039-12052, 2023
14*2023
FedDefender: Client-Side Attack-Tolerant Federated Learning
S Park, S Han, F Wu, S Kim, BB Zhu, X Xie, M Cha
KDD, 2023
142023
Playgrounds for Abstraction and Reasoning
S Kim, P Phunyaphibarn, D Ahn, S Kim
NeurIPS Workshop on Neuro Causal and Symbolic AI (nCSI), 2022
132022
Coherence-based Label Propagation over Time Series for Accelerated Active Learning
Y Shin, S Yoon, S Kim, H Song, JG Lee, BS Lee
ICLR, 2022
122022
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer
J Park, J Im, S Hwang, M Lim, S Ualibekova, S Kim, S Kim
arXiv:2306.08204, 2023
11*2023
Classification of Goods Using Text Descriptions With Sentences Retrieval
E Lee, S Kim, S Kim, S Park, M Cha, S Jung, S Yang, Y Choi, S Ji, M Song, ...
한국인공지능학회 추계학술대회, 2021
112021
Utilizing in-store sensors for revisit prediction
S Kim, JG Lee
IEEE International Conference on Data Mining (ICDM), 217-226, 2018
112018
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
S Park, S Kim, M Cha
AAAI, 2022
102022
A systematic framework of predicting customer revisit with in-store sensors
S Kim, JG Lee
Knowledge and Information Systems, 1-31, 2019
92019
Customs Fraud Detection in the Presence of Concept Drift
TD Mai, K Hoang, A Baigutanova, G Alina, S Kim
ICDM IncrLearn Workshop, 2021
72021
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
S Han, S Park, F Wu, S Kim, B Zhu, X Xie, M Cha
ICCV, 2023
62023
Customs Import Declaration Datasets
C Jeong, S Kim, J Park, Y Choi
arXiv:2208.02484, 2022
62022
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Articles 1–20