Publications

*authors contributed equally.

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

2024

  1. Quantifying Representation Reliability in Self-Supervised Learning Models
    Young-Jin Park, Hao Wang, Shervin Ardeshir, and Navid Azizan
    In UAI 2024

2022

  1. Uncertainty-Aware Meta-Learning for Multimodal Task Distributions
    Cesar Almecija, Apoorva Sharma, Young-Jin Park, and Navid Azizan
    In NeurIPS Workshop 2022
  2. 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%)
  3. 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. A neural process approach for probabilistic reconstruction of no-data gaps in lunar digital elevation maps
    Young-Jin Park, and Han-Lim Choi
    Aerospace Science and Technology 2021 [IF: 5.107]
  3. 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]
  4. 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]
  5. 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
  6. 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)
  7. One4all User Representation for Recommender Systems in E-commerce
    Kyuyong Shin, Hanock Kwak, Kyung-Min Kim, Minkyu Kim, Young-Jin Park, Jisu Jeong, and Seungjae Jung
    arXiv preprint 2021

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
  2. Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments
    Young-Jin Park, Kyuyong Shin, and Kyung-Min Kim
    In KDD Workshop 2020
  3. Multi-Manifold Learning for Large-scale Targeted Advertising System
    Kyuyong Shin, Young-Jin Park, Kyung-Min Kim, and Sunyoung Kwon
    In KDD Workshop 2020
  4. 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)
  2. 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
  3. 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
  2. Deep gaussian process-based bayesian inference for contaminant source localization
    Young-Jin Park, Piyush M Tagade, and Han-Lim Choi
    IEEE Access 2018 [IF: 4.098]
  3. Deep Matrix-variate Gaussian Processes
    Young-Jin Park, Piyush M Tagade, and Han-Lim Choi
    In UAI Workshop 2018
  4. Efficient sensor network planning based on approximate potential games
    Su-Jin Lee, Young-Jin Park, and Han-Lim Choi
    International Journal of Distributed Sensor Networks 2018 [IF: 1.787]
  5. High-resolution reconstruction for no data gaps in narrow angle camera digital terrain models using Gaussian process-latent variable model
    Young-Jin Park, SungHyun Moon, and Han-Lim Choi
    In Lunar and Planetary Science Conference 2018
  6. Resource Management for Active Track/TWS Interleaving in Airborne AESA Radars
    Young-Jin Park, Woo-Cheol Lee, Soon-Seo Park, Han-Lim Choi, Eun-Hee Kim, and Jin-Ju Won
    In Korea Institute of Military Science and Technology Annual Conference 2018
  7. Fuzzy Logic Approach for Target Prioritization in Airborne AESA Radars
    Young-Jin Park, Soon-Seo Park, Woo-Cheol Lee, Han-Lim Choi, Eun-Hee Kim, and Jin-Ju Won
    In Korean Society for Aeronautical and Space Sciences Annual Conference 2018
  8. Adaptive Radar Resource Managing Method Considering Hostile Airborne Targets in Air-to-Air and Air-to-Surface Interleaving Mode
    Do-Un Kim, Young-Jin Park, Han-Lim Choi, Seong-Hyun Ryu, and Yongjun Hong
    In Korean Society for Aeronautical and Space Sciences Annual Conference 2018

2017

  1. Adaptive Radar Task Scheduling Algorithm Considering the Target Priority
    Young-Jin Park, Soon-Seo Park, Woo-Cheol Lee, Han-Lim Choi, Eun-Hee Kim, and Ji-Eun Roh
    In Korean Society for Aeronautical and Space Sciences Annual Conference 2017
  2. Track Management for TWS mode of AESA Radar
    Woo-Cheol Lee, Soon-Seo Park, Young-Jin Park, Han-Lim Choi, Eun-Hee Kim, and Ji-Eun Roh
    In Korean Society for Aeronautical and Space Sciences Annual Conference 2017

2016

  1. Cooperative Sensing Planning of Distributed Sensor Networks for Multi-Target Tracking
    Young-Jin Park
    In Korean Society for Aeronautical and Space Sciences Magazine 2016
    🏆 KSAS Undergraduate Student Paper Competition (3rd Place)