Sundong Kim

According to our database, Sundong Kim authored at least 30 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explainable Product Classification for Customs.

Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha

ACM Trans. Intell. Syst. Technol., April, 2024

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus.

Seungpil Lee, Woochang Sim, Donghyeon Shin, Sanha Hwang, Wongyu Seo, Jiwon Park, Seokki Lee, Sejin Kim, Sundong Kim

CoRR, 2024

2023

Active Learning for Human-in-the-Loop Customs Inspection.

Sundong Kim, Tung-Duong Mai, Sungwon Han, Sungwon Park, Thi Nguyen Duc Khanh, Jaechan So, Karandeep Singh, Meeyoung Cha

IEEE Trans. Knowl. Data Eng., December, 2023

Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer.

Jaehyun Park, Jaegyun Im, Sanha Hwang, Mintaek Lim, Sabina Ualibekova, Sejin Kim, Sundong Kim

CoRR, 2023

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.

Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha

Proceedings of the ACM Web Conference 2023, 2023

FedDefender: Client-Side Attack-Tolerant Federated Learning.

Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Machine Learning Driven Aid Classification for Sustainable Development.

Junho Lee, Hyeonho Song, Dongjoon Lee, Sundong Kim, Jisoo Sim, Meeyoung Cha, Kyung-Ryul Park

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.

Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Customs Import Declaration Datasets.

Chaeyoon Jeong, Sundong Kim, Jaewoo Park, Yeonsoo Choi

CoRR, 2022

Coherence-based Label Propagation over Time Series for Accelerated Active Learning.

Yooju Shin, Susik Yoon, Sundong Kim, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee

Proceedings of the Tenth International Conference on Learning Representations, 2022

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.

Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha

Proceedings of the Computer Vision - ECCV 2022, 2022

Knowledge Sharing via Domain Adaptation in Customs Fraud Detection.

Sungwon Park, Sundong Kim, Meeyoung Cha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Disruption in Chinese E-Commerce During COVID-19.

Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Depeng Jin, Yong Li

Frontiers Comput. Sci., 2021

Classification of Goods Using Text Descriptions With Sentences Retrieval.

Eunji Lee, Sundong Kim, Sihyun Kim, Sungwon Park, Meeyoung Cha, Soyeon Jung, Suyoung Yang, Yeonsoo Choi, Sungdae Ji, Minsoo Song, Heeja Kim

CoRR, 2021

Responses to COVID-19 with Probabilistic Programming.

Assem Zhunis, Tung-Duong Mai, Sundong Kim

CoRR, 2021

Customs Fraud Detection in the Presence of Concept Drift.

Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, Sundong Kim

Proceedings of the 2021 International Conference on Data Mining, 2021

Improving Unsupervised Image Clustering With Robust Learning.

Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Ada-boundary: accelerating DNN training via adaptive boundary batch selection.

Hwanjun Song, Sundong Kim, Minseok Kim, Jae-Gil Lee

Mach. Learn., 2020

A systematic framework of predicting customer revisit with in-store sensors.

Sundong Kim, Jae-Gil Lee

Knowl. Inf. Syst., 2020

Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning.

Sundong Kim, Tung-Duong Mai, Thi Nguyen Duc Khanh, Sungwon Han, Sungwon Park, Karandeep Singh, Meeyoung Cha

CoRR, 2020

Disruption in the Chinese E-Commerce During COVID-19: A Case Study of the Beidian Platform.

Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, Yong Li

CoRR, 2020

Neural User Embedding from Browsing Events.

Mingxiao An, Sundong Kim

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Revisit Prediction by Deep Survival Analysis.

Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection.

Sundong Kim, Yu-Che Tsai, Karandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, Meeyoung Cha

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.

Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha

Proceedings of the Computer Vision - ECCV 2020, 2020

Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection.

Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Utilizing In-store Sensors for Revisit Prediction.

Sundong Kim, Jae-Gil Lee

Proceedings of the IEEE International Conference on Data Mining, 2018

2016

Behavior of Self-Motivated Agents in Complex Networks.

Sundong Kim, Jin-Jae Lee

CoRR, 2016

Automatic Knowledge Base Evolution by Learning Instances.

Sundong Kim

CoRR, 2016

2015

Friend recommendation with a target user in social networking services.

Sundong Kim

Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015