Seungyong Moon

PhD student, Seoul National University

Joined

July 2019

Names

Seungyong Moon

Emails

****@snu.ac.kr (Confirmed)

****@mllab.snu.ac.kr (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Seoul National University (snu.ac.kr)

2019 – Present

Intern

Qualcomm Inc, QualComm (qti.qualcomm.com)

2024 – 2024

Intern

KRAFTON (krafton.com)

2023 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Hyun Oh Song

2019 – Present

Coauthor

Gaon An

2019 – Present

Expertise

Reinforcement Learning

2021 – Present

Deep Learning

2019 – Present

Publications

Learning to Better Search with Language Models via Guided Reinforced Self-Training
Seungyong Moon, Bumsoo Park, Hyun Oh Song
- NeurIPS 2025 poster
- Readers: Everyone
Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance
Seungyong Moon, Bumsoo Park, Hyun Oh Song
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song
- NeurIPS 2023 poster
- Readers: Everyone
Rethinking Value Function Learning for Generalization in Reinforcement Learning
Seungyong Moon, JunYeong Lee, Hyun Oh Song
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
Seungyong Moon, Gaon An, Hyun Oh Song
- 2022 (modified: 14 Aug 2022)
- AAAI 2022
- Readers: Everyone
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
Deokjae Lee, Seungyong Moon, Junhyeok Lee, Hyun Oh Song
- 2022 (modified: 14 Aug 2022)
- ICML 2022
- Readers: Everyone
Rethinking Value Function Learning for Generalization in Reinforcement Learning
Seungyong Moon, JunYeong Lee, Hyun Oh Song
- Published: 01 Jan 2022, Last Modified: 29 Aug 2023
- NeurIPS 2022
- Readers: Everyone
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim, Hyun Oh Song
- 2021 (modified: 14 Aug 2022)
- NeurIPS 2021
- Readers: Everyone
Exploiting Safe Spots in Neural Networks for Preemptive Robustness and Out-of-Distribution Detection
Seungyong Moon, Gaon An, Hyun Oh Song
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

View all 11 publications

Seungyong Moon

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors