Publications

*authors contributed equally.

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

2022

  1. A Large-Scale Ensemble Learning Framework for Demand Forecasting
    Young-Jin Park, Donghyun Kim, Frédéric Odermatt, Juho Lee, and Kyung-Min Kim
    In IEEE ICDM 2022 (Full Paper, Acceptance Rate: 9.77%)
  2. VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting
    Kashif Rasul, Young-Jin Park, Max Nihlén Ramström, and Kyung-Min Kim
    arXiv preprint 2022

2021

  1. Distilling a hierarchical policy for planning and control via representation and reinforcement learning
    Jung-Su Ha*, Young-Jin Park*, Hyeok-Joo Chae, Soon-Seo Park, and Han-Lim Choi
    In IEEE ICRA 2021
  2. Bayesian Nonparametric State-Space Model for System Identification with Distinguishable Multimodal Dynamics
    Young-Jin Park, Soon-Seo Park, and Han-Lim Choi
    Journal of Aerospace Information Systems 2021 [IF: 1.076]
  3. Online Gaussian Process State-Space Model: Learning and Planning for Partially Observable Dynamical Systems
    Soon-Seo Park, Young-Jin Park, Youngjae Min, and Han-Lim Choi
    International Journal of Control, Automation and Systems (accepted) [IF: 3.314]
  4. 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
  5. 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. A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
    Seungjae Jung*, Kyung-Min Kim*, Hanock Kwak*, and Young-Jin Park*
    In NeurIPS Workshop 2020
    🏆 Best Poster Awards

2019

  1. InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics
    Young-Jin Park, and Han-Lim Choi
    In AIAA Scitech 2019 Forum 2019
    🏆 Student Paper Competition Finalists
  2. A Bayesian Approach to Learning and Planning for Partially Observable Dynamical Systems
    Soon Seo Park, Young-Jin Park, and Han-Lim Choi
    In AIAA Scitech 2019 Forum 2019

2018

  1. Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems
    Jung-Su Ha, Young-Jin Park, Hyeok-Joo Chae, Soon-Seo Park, and Han-Lim Choi
    In NeurIPS 2018