Publications

*authors contributed equally.

#Uncertainty Quantification #Latent Variable Models #Dynamical Systems #Graph Learning #Sensors

2021

  1. Global-Local Item Embedding for Temporal Set Prediction
    Seungjae Jung, Young-Jin Park, Jisu Jeong, Kyung-Min Kim, Hiun Kim, Minkyu Kim, and Hanock Kwak
    In ACM RecSys Late-Breaking Results 2021
  2. AdamDGN: Adaptive Memory using Dynamic Graph Networks for Staleness Problem in Recommender System
    Il-Jae Kwon, Kyuyong Shin, Jisu Jeong, Kyung-Min Kim, Byoung-Tak Zhang, and Young-Jin Park
    In KDD Workshop 2021 (Spotlight)

2020

  1. Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments
    Young-Jin Park, Kyuyong Shin, and Kyung-Min Kim
    In KDD Workshop 2020
  2. Multi-Manifold Learning for Large-scale Targeted Advertising System
    Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, and Sunyoung Kwon
    In KDD Workshop 2020
  3. div2vec: Diversity-Emphasized Node Embedding
    Jisu Jeong, Jeong-Min Yun, Hongi Keam, Young-Jin Park, Zimin Park, and Junki Cho
    In ACM RecSys Workshop 2020

2019

  1. Tripartite heterogeneous graph propagation for large-scale social recommendation
    Kyung-Min Kim*, Donghyun Kwak*, Hanock Kwak*, Young-Jin Park*, Sangkwon Sim, Jae-Han Cho, Minkyu Kim, Jihun Kwon, Nako Sung, and Jung-Woo Ha
    ACM RecSys Late-Breaking Results 2019
    (presented in ICCV Workshop 2019 as well)