Publications

2023

1. 

   Towards Attack-Tolerant Federated Learning via Critical Parameter Analysis

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

   In ICCV, 2023

   arXiv Bib Code Slides

   @inproceedings{FedCPA_ICCV2023,
     title = {{Towards Attack-Tolerant Federated Learning via Critical Parameter Analysis}},
     author = {Han, Sungwon and Park, Sungwon and Wu, Fangzhao and Kim, Sundong and Zhu, Bin Benjamin and Xie, Xing and Cha, Meeyoung},
     year = {2023},
     booktitle = {ICCV},
   }

2. 

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

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

   ICML Workshop on Interactive Learning with Implicit Human Feedback, 2023

   arXiv Bib Poster

   @article{ARC_ICMLW2023,
     title = {{Unraveling the ARC Puzzle: Mimicking Human Solutions with Object-Centric Decision Transformer}},
     author = {Park, Jaehyun and Im, Jaegyun and Hwang, Sanha and Lim, Mintaek and Ualibekova, Sabina and Kim, Sejin and Kim, Sundong},
     year = {2023},
     journal = {ICML Workshop on Interactive Learning with Implicit Human Feedback},
   }

3. 

   FedDefender: Client-Side Attack-Tolerant Federated Learning

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

   In KDD, 2023

   arXiv Bib HTML Code Poster Slides

   @inproceedings{FedDefender_KDD2023,
     title = {{FedDefender: Client-Side Attack-Tolerant Federated Learning}},
     author = {Park, Sungwon and Han, Sungwon and Wu, Fangzhao and Kim, Sundong and Zhu, Bin Benjamin and Xie, Xing and Cha, Meeyoung},
     year = {2023},
     booktitle = {KDD},
   }

4. 

   Customs Import Declaration Datasets

   Chaeyoon Jeong, Sundong Kim, Jaewoo Park, and Yeonsoo Choi

   In KDD Workshop on Machine Learning in Finance, 2023

   arXiv Bib Blog Code Slides

   @inproceedings{customsData_KDDW2023,
     title = {{Customs Import Declaration Datasets}},
     author = {Jeong, Chaeyoon and Kim, Sundong and Park, Jaewoo and Choi, Yeonsoo},
     year = {2023},
     booktitle = {KDD Workshop on Machine Learning in Finance},
   }

5. 

   Machine Learning Driven Aid Classification for Sustainable Development

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

   In IJCAI, 2023

   Bib PDF

   @inproceedings{SDG_IJCAI2023,
     title = {{Machine Learning Driven Aid Classification for Sustainable Development}},
     author = {Lee, Junho and Song, Hyeonho and Lee, Dongjoon and Kim, Sundong and Sim, Jisoo and Cha, Meeyoung and Park, Kyung-Ryul},
     year = {2023},
     booktitle = {IJCAI},
   }

6. 

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

   Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, and Meeyoung Cha

   In TheWebConf, 2023

   Bib PDF Code

   @inproceedings{DualFair_WWW2023,
     title = {{DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision}},
     author = {Han, Sungwon and Lee, Seungeon and Wu, Fangzhao and Kim, Sundong and Wu, Chuhan and Xie, Xing and Cha, Meeyoung},
     year = {2023},
     booktitle = {TheWebConf},
   }

2022

1. 

   Playgrounds for Abstraction and Reasoning

   Subin Kim, Prin Phunyaphibarn, Donghyun Ahn, and Sundong Kim

   In NeurIPS nCSI Workshop, 2022

   Bib HTML Code Poster

   @inproceedings{MiniARC_NeurIPSW2022,
     title = {{Playgrounds for Abstraction and Reasoning}},
     author = {Kim, Subin and Phunyaphibarn, Prin and Ahn, Donghyun and Kim, Sundong},
     year = {2022},
     booktitle = {NeurIPS nCSI Workshop},
   }

2. 

   FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

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

   In ECCV, 2022

   arXiv Bib Blog Code

   @inproceedings{FedX_ECCV2022,
     title = {{FedX: Unsupervised Federated Learning with Cross Knowledge Distillation}},
     author = {Han, Sungwon and Park, Sungwon and Wu, Fangzhao and Kim, Sundong and Wu, Chuhan and Xie, Xing and Cha, Meeyoung},
     year = {2022},
     video = {https://youtu.be/HZsP7fzc1Vw},
     booktitle = {ECCV},
   }

3. 

   Response to COVID-19 with Probabilistic Programming

   Assem Zhunis, Tung-Duong Mai, and Sundong Kim

   Frontiers in Public Health, 2022

   Bib HTML Code

   @article{NPI-COVID_Frontiers22,
     title = {{Response to COVID-19 with Probabilistic Programming}},
     author = {Zhunis, Assem and Mai, Tung-Duong and Kim, Sundong},
     journal = {Frontiers in Public Health},
     year = {2022},
     publisher = {Frontiers},
   }

4. 

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

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

   In ICLR, 2022

   Bib HTML Code

   @inproceedings{shin2022coherencebased,
     title = {Coherence-based Label Propagation over Time Series for Accelerated Active Learning},
     author = {Shin, Yooju and Yoon, Susik and Kim, Sundong and Song, Hwanjun and Lee, Jae-Gil and Lee, Byung Suk},
     booktitle = {ICLR},
     year = {2022},
   }

5. 

   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, and Meeyoung Cha

   IEEE Transactions on Knowledge and Data Engineering, 2022

   Bib HTML PDF Blog

   @article{kim2022active,
     title = {Active Learning for Human-in-the-Loop Customs Inspection},
     author = {Kim, Sundong and Mai, Tung-Duong and Han, Sungwon and Park, Sungwon and Khanh, Thi Nguyen Duc and So, Jaechan and Singh, Karandeep and Cha, Meeyoung},
     journal = {IEEE Transactions on Knowledge and Data Engineering},
     year = {2022},
   }

6. 

   Knowledge Sharing via Domain Adaptation in Customs Fraud Detection

   Sungwon Park, Sundong Kim, and Meeyoung Cha

   In AAAI, 2022

   Bib HTML PDF

   @inproceedings{DAS_AAAI22,
     author = {Park, Sungwon and Kim, Sundong and Cha, Meeyoung},
     title = {{Knowledge Sharing via Domain Adaptation in Customs Fraud Detection}},
     booktitle = {AAAI},
     year = {2022},
   }

2021

1. 

   Customs fraud detection in the presence of concept drift

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

   In ICDM IncrLearn Workshop, 2021

   Bib HTML PDF

   @inproceedings{mai2021drift,
     title = {{Customs fraud detection in the presence of concept drift}},
     author = {Mai, Tung-Duong and Hoang, Kien and Baigutanova, Aitolkyn and Alina, Gaukhartas and Kim, Sundong},
     booktitle = {ICDM IncrLearn Workshop},
     year = {2021},
     pages = {370--379},
   }

2. 

   Improving Unsupervised Image Clustering With Robust Learning

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

   In CVPR, 2021

   Bib PDF

   @inproceedings{RUC_CVPR2021,
     title = {{Improving Unsupervised Image Clustering With Robust Learning}},
     author = {Park, Sungwon and Han, Sungwon and Kim, Sundong and Kim, Danu and Park, Sungkyu and Hong, Seunghoon and Cha, Meeyoung},
     booktitle = {CVPR},
     year = {2021},
   }

3. 

   Disruption in the Chinese E-Commerce During COVID-19

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

   Frontiers in Computer Science, 2021

   Bib HTML

   @article{COVID19-Ecommerce_Frontiers21,
     title = {{Disruption in the Chinese E-Commerce During COVID-19}},
     author = {Yuan, Yuan and Guan, Muzhi and Zhou, Zhilun and Kim, Sundong and Cha, Meeyoung and Jin, Depeng and Li, Yong},
     journal = {Frontiers in Computer Science},
     year = {2021},
     publisher = {Frontiers},
   }

4. 

   Embedding Heterogeneous Hierarchical Structures

   Sundong Kim

   In IC2S2 (Extended Abstract), 2021

   Bib HTML Code

   @inproceedings{LocEmb_IC2S2_2021,
     title = {{Embedding Heterogeneous Hierarchical Structures}},
     author = {Kim, Sundong},
     booktitle = {IC2S2 (Extended Abstract)},
     year = {2021},
   }

2020

1. 

   Ada-Boundary: Accelerating the DNN Training via Adaptive Boundary Batch Selection

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

   Machine Learning, 2020

   Bib HTML PDF Code

   @article{ADA-BOUNDARY_ML2020,
     author = {Song, Hwanjun and Kim, Sundong and Kim, Minseok and Lee, Jae-Gil},
     title = {{Ada-Boundary: Accelerating the DNN Training via Adaptive Boundary Batch Selection}},
     journal = {Machine Learning},
     year = {2020},
     publisher = {Springer},
   }

2. 

   Carpe Diem, Seize the Samples Uncertain “At the Moment” for Adaptive Batch Selection

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

   In CIKM, 2020

   Bib HTML PDF Code

   @inproceedings{RecencyBias_CIKM2020,
     title = {{Carpe Diem, Seize the Samples Uncertain “At the Moment” for Adaptive Batch Selection}},
     author = {Song, Hwanjun and Kim, Minseok and Kim, Sundong and Lee, Jae-Gil},
     booktitle = {CIKM},
     year = {2020},
   }

3. 

   Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification

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

   In ECCV, 2020

   Bib HTML PDF Code

   @inproceedings{TSUC_ECCV2020,
     title = {{Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification}},
     author = {Han, Sungwon and Park, Sungwon and Park, Sungkyu and Kim, Sundong and Cha, Meeyoung},
     year = {2020},
     video = {https://youtu.be/jbz1Ru1cJCA},
     booktitle = {ECCV},
   }

4. 

   Revisit Prediction by Deep Survival Analysis

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

   In PAKDD, 2020

   Bib HTML PDF

   @inproceedings{Revisit_PAKDD20,
     author = {Kim, Sundong and Song, Hwanjun and Kim, Sejin and Kim, Beomyoung and Lee, Jae-Gil},
     title = {{Revisit Prediction by Deep Survival Analysis}},
     booktitle = {PAKDD},
     year = {2020},
   }

5. 

   Neural User Embedding From Browsing Events

   Mingxiao An, and Sundong Kim

   In ECML-PKDD, 2020

   Bib HTML PDF

   @inproceedings{NEU_ECMLPKDD2020,
     title = {{Neural User Embedding From Browsing Events}},
     author = {An, Mingxiao and Kim, Sundong},
     booktitle = {ECML-PKDD},
     year = {2020},
   }

6. 

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

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

   In KDD, 2020

   Bib HTML PDF

   @inproceedings{kimtsai2020date,
     title = {DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection},
     author = {Kim, Sundong and Tsai, Yu-Che and Singh, Karandeep and Choi, Yeonsoo and Ibok, Etim and Li, Cheng-Te and Cha, Meeyoung},
     booktitle = {KDD},
     year = {2020},
   }

2019

1. 

   A Systemic Framework of Predicting Customer Revisit with In-Store Sensors

   Sundong Kim, and Jae-Gil Lee

   Knowledge and Information Systems, 2019

   Bib HTML PDF

   @article{Revisit_KAIS19,
     author = {Kim, Sundong and Lee, Jae-Gil},
     title = {{A Systemic Framework of Predicting Customer Revisit with In-Store Sensors}},
     journal = {Knowledge and Information Systems},
     year = {2019},
     publisher = {Springer},
   }

2018

1. 

   Utilizing In-Store Sensors for Revisit Prediction

   Sundong Kim, and Jae-Gil Lee

   In ICDM, 2018

   Bib HTML PDF

   @inproceedings{Revisit_ICDM18,
     author = {Kim, Sundong and Lee, Jae-Gil},
     title = {{Utilizing In-Store Sensors for Revisit Prediction}},
     booktitle = {ICDM},
     year = {2018},
   }

2015

1. 

   Friend Recommendation with a Target User in Social Networking Services

   Sundong Kim

   In ICDE Workshop (Ph.D. Symposium), 2015

   Bib HTML PDF

   @inproceedings{Friends_ICDEW2015,
     title = {{Friend Recommendation with a Target User in Social Networking Services}},
     author = {Kim, Sundong},
     year = {2015},
     booktitle = {ICDE Workshop (Ph.D. Symposium)},
   }