Sundong Kim

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 39

Top Topics

Image Classification

Unlabeled Images

Social Networking Services

Top Venues

Publications

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 (2024)
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 (2024)
Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha
Explainable Product Classification for Customs. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
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)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. CoRR (2023)
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 (2023)
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)
Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha
Explainable Product Classification for Customs. CoRR (2023)
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) (2023)
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
FedDefender: Client-Side Attack-Tolerant Federated Learning. KDD (2023)
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)
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 (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. CoRR (2023)
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR (2022)
Sungwon Park, Sundong Kim, Meeyoung Cha
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. AAAI (2022)
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)
Sungwon Park, Sundong Kim, Meeyoung Cha
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection. CoRR (2022)
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)
Chaeyoon Jeong, Sundong Kim, Jaewoo Park, Yeonsoo Choi
Customs Import Declaration Datasets. CoRR (2022)
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 (2021)
Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Improving Unsupervised Image Clustering With Robust Learning. CVPR (2021)
Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim
Customs Fraud Detection in the Presence of Concept Drift. CoRR (2021)
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 (2021)
Assem Zhunis, Tung-Duong Mai, Sundong Kim
Responses to COVID-19 with Probabilistic Programming. CoRR (2021)
Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim
Customs Fraud Detection in the Presence of Concept Drift. ICDM (Workshops) (2021)
Mingxiao An, Sundong Kim
Neural User Embedding from Browsing Events. ECML/PKDD (4) (2020)
Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee
Revisit Prediction by Deep Survival Analysis. PAKDD (2) (2020)
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. CIKM (2020)
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 (2020)
Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Improving Unsupervised Image Clustering With Robust Learning. CoRR (2020)
Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification. ECCV (24) (2020)
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 (2020)
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)
Sundong Kim, Jae-Gil Lee
A systematic framework of predicting customer revisit with in-store sensors. Knowl. Inf. Syst. 62 (3) (2020)
Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee
Ada-boundary: accelerating DNN training via adaptive boundary batch selection. Mach. Learn. 109 (9-10) (2020)
Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
Carpe Diem, Seize the Samples Uncertain "At the Moment" for Adaptive Batch Selection. CoRR (2019)
Sundong Kim, Jae-Gil Lee
Utilizing In-store Sensors for Revisit Prediction. ICDM (2018)
Sundong Kim
Automatic Knowledge Base Evolution by Learning Instances. CoRR (2016)
Sundong Kim, Jin-Jae Lee
Behavior of Self-Motivated Agents in Complex Networks. CoRR (2016)
Sundong Kim
Friend recommendation with a target user in social networking services. ICDE Workshops (2015)