Publications

2023

1. 

   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 PDF Code

   @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

   Bib HTML 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)},
   }