Publications

Publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision
    Sungwon Han, Seungeon Lee, Fangzhao WuSundong Kim, Chuhan Wu, Xing Xie, and Meeyoung Cha
    In TheWebConf, 2023

2022

  1. Playgrounds for Abstraction and Reasoning
    Subin Kim, Prin Phunyaphibarn, Donghyun Ahn, and Sundong Kim
    In NeurIPS nCSI Workshop, 2022
  2. FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
    Sungwon Han, Sungwon Park, Fangzhao WuSundong Kim, Chuhan Wu, Xing Xie, and Meeyoung Cha
    In ECCV, 2022
  3. Response to COVID-19 with Probabilistic Programming
    Assem ZhunisTung-Duong Mai, and Sundong Kim
    Frontiers in Public Health, 2022
  4. Coherence-based Label Propagation over Time Series for Accelerated Active Learning
    Yooju Shin, Susik Yoon, Sundong KimHwanjun SongJae-Gil Lee, and Byung Suk Lee
    In ICLR, 2022
  5. Active Learning for Human-in-the-Loop Customs Inspection
    Sundong KimTung-Duong MaiSungwon Han, Sungwon Park, Thi Nguyen Duc Khanh, Jaechan So, Karandeep Singh, and Meeyoung Cha
    IEEE Transactions on Knowledge and Data Engineering, 2022
  6. Knowledge Sharing via Domain Adaptation in Customs Fraud Detection
    Sungwon Park, Sundong Kim, and Meeyoung Cha
    In AAAI, 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
  2. Improving Unsupervised Image Clustering With Robust Learning
    Sungwon Park, Sungwon HanSundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, and Meeyoung Cha
    In CVPR, 2021
  3. Disruption in the Chinese E-Commerce During COVID-19
    Yuan Yuan, Muzhi Guan, Zhilun Zhou, Sundong KimMeeyoung Cha, Depeng Jin, and Yong Li
    Frontiers in Computer Science, 2021
  4. Embedding Heterogeneous Hierarchical Structures
    Sundong Kim
    In IC2S2 (Extended Abstract), 2021

2020

  1. Ada-Boundary: Accelerating the DNN Training via Adaptive Boundary Batch Selection
    Hwanjun SongSundong Kim, Minseok Kim, and Jae-Gil Lee
    Machine Learning, 2020
  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
  3. Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification
    Sungwon Han, Sungwon Park, Sungkyu ParkSundong Kim, and Meeyoung Cha
    In ECCV, 2020
  4. Revisit Prediction by Deep Survival Analysis
    Sundong KimHwanjun Song, Sejin Kim, Beomyoung Kim, and Jae-Gil Lee
    In PAKDD, 2020
  5. Neural User Embedding From Browsing Events
    Mingxiao An, and Sundong Kim
    In ECML-PKDD, 2020
  6. DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection
    Sundong KimYu-Che TsaiKarandeep Singh, Yeonsoo Choi, Etim Ibok, Cheng-Te Li, and Meeyoung Cha
    In KDD, 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

2018

  1. Utilizing In-Store Sensors for Revisit Prediction
    Sundong Kim, and Jae-Gil Lee
    In ICDM, 2018

2015

  1. Friend Recommendation with a Target User in Social Networking Services
    Sundong Kim
    In ICDE Workshop (Ph.D. Symposium), 2015

Domestic Conference

  • 인지 및 추론 연구를 위한 Mini-ARC 벤치마크 데이터
    (Playgrounds for Abstraction and Reasoning)
    Subin Kim, Prin Phunyaphibarn, Donghyun Ahn, Sundong Kim
    Korea Software Congress (KSC), 2022.
    (Selected as one of the best papers in KSC 2022)
    [PDF]

  • 집단 공정성을 고려하는 자기 지도 대조 학습
    (Group-Wisely Fair Self-Supervised Contrastive Learning)
    Chaeyoon Jung, Sungwon Han, Sundong Kim, Meeyoung Cha
    Korea Software Congress (KSC), 2021.
    [PDF]

  • 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, and Heeja Kim
    Korean Artificial Intelligence Association (KAIA), 2021.
    [PDF]

  • 쇼핑몰 상품 카테고리 분류를 위한 Hyperbolic Interaction Model의 적용과 분석
    (Hyperbolic Interaction Model for Category Classification in E-Commerce)
    Sihyeon Kim, Eunji Lee, Sungwon Park, Meeyoung Cha, Sundong Kim
    Korea Computer Congress (KCC), 2021. (Poster Presentation)
    [PDF] [Video]

  • 거시적 동선 정보에 기반한 고객 재방문 예측
    (Customer Revisit Prediction Using Macroscale Mobility Information)
    Beomyoung Kim, Sundong Kim, Sejin Kim, Jae-Gil Lee
    Korea Software Congress (KSC), 2019. (Poster Presentation)
    [PDF] [Poster] [Technical Report] [Slides]

  • 과거 상황 정보의 변동 양상을 활용한 인간의 중단 가능성 예측 모델 연구
    (Exploiting Change Patterns of the Past Context Data on Human Interruptibility Prediction)
    Minsoo Choy, Minseo Kang, Minseok Kim, Sundong Kim
    Korea Computer Congress Winter Conference (KCC), 2017. (Best Paper Award)
    [Link] [PDF]

  • 와이파이 모니터링 기술로 센싱된 고객들의 매장 내부 이동 패턴들을 이용한 재방문 예측
    (Predicting Customer’s Revisit Intention Using Indoor Movements in Stores by Wi-Fi Monitoring)
    Sundong Kim, Jae-Gil Lee
    Korea Software Congress (KSC), 2016. (Poster Presentation)
    [Link] [PDF]

  • 한국어 디비피디아의 자동 스키마 진화를 위한 방법
    (A Method of Automatic Schema Evolution on DBpedia Korea)
    Sundong Kim, Minseo Kang, Jae-Gil Lee
    Spring Conference of the Korea Information Processing Society (KIPS), 2014.
    [PDF] [Slides]

Preprints

  • Customs Import Declaration Datasets
    Chaeyoon Jeong, Sundong Kim, Jaewoo Park, Yeonsoo Choi
    arXiv:2208.02484
    [Link]

  • Behavior of Self-Motivated Agents in Complex Networks
    Sundong Kim, Jin-Jae Lee
    arXiv:1604.03747
    [Link]

Thesis

  • Customer Revisit Prediction Using In-Store Sensor Data
    (매장 내 센서 데이터를 활용한 고객 재방문 예측)
    Sundong Kim
    Ph.D. dissertation, Industrial & Systems Engineering (Graduate School of Knowledge Service Engineering), KAIST, 2019.
    [PDF] [Slides]

  • Maximizing Influence over a Target User through Friend Recommendation
    (특정 사용자로의 영향력을 최대화하는 친구 추천 방법)
    Sundong Kim
    Master’s thesis, Industrial & Systems Engineering, KAIST, 2015.
    [PDF] [Slides]