Hongjoon Ahn
Scholar

Hongjoon Ahn

Google Scholar ID: uYaCitcAAAAJ
Seoul National University
artificial intelligence
Citations & Impact
All-time
Citations
900
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - 2025.09.15 Paper "Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning" accepted at NeurIPS 2025 as a Spotlight paper
  • - 2025.01.23 Paper "Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline" accepted at ICLR 2025
  • - 2024.05.02 Paper "Listwise Reward Estimation for Offline Preference-based Reinforcement Learning" accepted at ICML 2024
  • - 2022.09.15 Paper "Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks" accepted at NeurIPS 2022 (joint work with Amazon Web Services)
  • - 2021.07.23 Paper "SS-IL: Separated Softmax for Incremental Learning" accepted at ICCV 2021
  • - 2020.09.26 Paper "Continual Learning with Node-Importance based Adaptive Group Sparse Regularization" accepted at NeurIPS 2020
  • - 2020.05.15 Paper "Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty" accepted at UAI 2020
  • - 2019.09.03 Paper "Uncertainty-based continual learning with adaptive regularization" accepted at NeurIPS 2019
Research Experience
  • - 2025.09.15 Started internship at Trillion Labs
  • - 2021.11.15 Started internship at Amazon Web Services
Education
  • - PhD Course [2022.03~Present], Department of Electrical and Computer Engineering, Seoul National University (SNU), Advisor: Taesup Moon
  • - M.S [2019.09~2022.02], Department of Artificial Intelligence, Sungkyunkwan University (SKKU), Advisor: Taesup Moon
  • - B.S [2015.03~2019.08], Department of Electrical & Computer Engineering, Sungkyunkwan University (SKKU)
Background
  • Research Interests: Continual Learning, Discrete Signal Denoising, Graph Neural Network, Reinforcement Learning.
Miscellany
  • Contact: hongjoon0805@gmail.com
  • Google Scholar and Github links
Co-authors
0 total
Co-authors: 0 (list not available)