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ORCIDSundong Kim
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2020 – today
- 2024
[j5]Eunji Lee
, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha:
Explainable Product Classification for Customs. ACM Trans. Intell. Syst. Technol. 15(2): 25:1-25:24 (2024)- [c19]Donghyeon Shin, Seungpil Lee, Klea Kovacec, Sundong Kim:
From Generation to Selection: Findings of Converting Analogical Problem-Solving into Multiple-Choice Questions. EMNLP (Findings) 2024: 6696-6708 - [c18]Suyeon Shim, Dohyun Ko, Hosung Lee, Seokki Lee, Doyoon Song, Sanha Hwang, Sejin Kim, Sundong Kim:
O2ARC 3.0: A Platform for Solving and Creating ARC Tasks. IJCAI 2024: 8793-8796 - [c17]Mintaek Lim, Seokki Lee, Liyew Woletemaryam Abitew, Sundong Kim:
Abductive Symbolic Solver on Abstraction and Reasoning Corpus. LNSAI@IJCAI 2024 - [i24]Seungpil Lee, Woochang Sim, Donghyeon Shin, Sanha Hwang, Wongyu Seo, Jiwon Park, Seokki Lee, Sejin Kim, Sundong Kim:
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus. CoRR abs/2403.11793 (2024) - [i23]Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim:
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning. CoRR abs/2407.20806 (2024) - [i22]Jihwan Lee, Woochang Sim, Sejin Kim, Sundong Kim:
Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL. CoRR abs/2408.14855 (2024) - [i21]Sejin Kim, Hosung Lee, Sundong Kim:
Addressing and Visualizing Misalignments in Human Task-Solving Trajectories. CoRR abs/2409.14191 (2024) - [i20]Sejin Kim, Sundong Kim:
System-2 Reasoning via Generality and Adaptation. CoRR abs/2410.07866 (2024) - [i19]Yunho Kim, Jaehyun Park, Heejun Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim:
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task. CoRR abs/2410.11324 (2024) - [i18]Jaehyun Park, Yunho Kim, Sejin Kim, Byung-Jun Lee, Sundong Kim:
DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation. CoRR abs/2410.11338 (2024) - 2023
- [j4]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): 12039-12052 (2023) - [c16]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: 4976-4985 - [c15]Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung Ryul Park:
Machine Learning Driven Aid Classification for Sustainable Development. IJCAI 2023: 6040-6048 - [c14]Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD 2023: 1850-1861 - [c13]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: 3766-3774 - [i17]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 abs/2303.08403 (2023) - [i16]Jaehyun Park, Jaegyun Im, Sanha Hwang, Mintaek Lim, Sabina Ualibekova, Sejin Kim, Sundong Kim:
Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer. CoRR abs/2306.08204 (2023) - [i15]Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR abs/2307.09048 (2023) - [i14]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha:
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR abs/2308.09318 (2023) - [i13]Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha:
Explainable Product Classification for Customs. CoRR abs/2311.10922 (2023) - 2022
- [c12]Sungwon Park, Sundong Kim, Meeyoung Cha:
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. AAAI 2022: 12062-12070 - [c11]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: 691-707 - [c10]Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee:
Coherence-based Label Propagation over Time Series for Accelerated Active Learning. ICLR 2022 - [i12]Sungwon Park, Sundong Kim, Meeyoung Cha:
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. CoRR abs/2201.06759 (2022) - [i11]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR abs/2207.09158 (2022) - [i10]Chaeyoon Jeong, Sundong Kim, Jaewoo Park, Yeonsoo Choi:
Customs Import Declaration Datasets. CoRR abs/2208.02484 (2022) - 2021
- [j3]Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Depeng Jin, Yong Li:
Disruption in Chinese E-Commerce During COVID-19. Frontiers Comput. Sci. 3: 668711 (2021) - [c9]Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha:
Improving Unsupervised Image Clustering With Robust Learning. CVPR 2021: 12278-12287 - [c8]Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim:
Customs Fraud Detection in the Presence of Concept Drift. ICDM (Workshops) 2021: 370-379 - [i9]Assem Zhunis, Tung-Duong Mai, Sundong Kim:
Responses to COVID-19 with Probabilistic Programming. CoRR abs/2106.00192 (2021) - [i8]Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim:
Customs Fraud Detection in the Presence of Concept Drift. CoRR abs/2109.14155 (2021) - [i7]Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim:
Classification of Goods Using Text Descriptions With Sentences Retrieval. CoRR abs/2111.01663 (2021) - 2020
- [j2]Sundong Kim, Jae-Gil Lee:
A systematic framework of predicting customer revisit with in-store sensors. Knowl. Inf. Syst. 62(3): 1005-1035 (2020) - [j1]Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee:
Ada-boundary: accelerating DNN training via adaptive boundary batch selection. Mach. Learn. 109(9-10): 1837-1853 (2020) - [c7]Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee:
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. CIKM 2020: 1385-1394 - [c6]Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha:
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification. ECCV (24) 2020: 768-784 - [c5]Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha:
DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection. KDD 2020: 2880-2890 - [c4]Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee:
Revisit Prediction by Deep Survival Analysis. PAKDD (2) 2020: 514-526 - [c3]Mingxiao An, Sundong Kim:
Neural User Embedding from Browsing Events. ECML/PKDD (4) 2020: 175-191 - [i6]Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Yong Li:
Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform. CoRR abs/2009.14605 (2020) - [i5]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 abs/2010.14282 (2020) - [i4]Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha:
Improving Unsupervised Image Clustering With Robust Learning. CoRR abs/2012.11150 (2020)
2010 – 2019
- 2019
- [i3]Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee:
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection. CoRR abs/1911.08050 (2019) - 2018
- [c2]Sundong Kim, Jae-Gil Lee:
Utilizing In-store Sensors for Revisit Prediction. ICDM 2018: 217-226 - 2016
- [i2]Sundong Kim:
Automatic Knowledge Base Evolution by Learning Instances. CoRR abs/1604.00869 (2016) - [i1]Sundong Kim, Jin-Jae Lee:
Behavior of Self-Motivated Agents in Complex Networks. CoRR abs/1604.03747 (2016) - 2015
- [c1]Sundong Kim:
Friend recommendation with a target user in social networking services. ICDE Workshops 2015: 235-239
Coauthor Index
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last updated on 2024-11-30 01:13 CET by the dblp team
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