Moonjeong Park

According to our database, Moonjeong Park authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems.

Seunghyuk Cho, Sunghyun Choi, Jaeseung Heo, Youngbin Choi, Saemi Moon, MoonJeong Park, Dongwoo Kim

CoRR, May, 2026

Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification.

MoonJeong Park, Seungbeom Lee, Kyungmin Kim, Jaeseung Heo, Seunghyuk Cho, Shouheng Li, Sangdon Park, Dongwoo Kim

CoRR, March, 2026

Training-free Composition of Pre-trained GFlowNets for Multi-Objective Generation.

Seokwon Yoon, Youngbin Choi, Seunghyuk Cho, Seungbeom Lee, MoonJeong Park, Dongwoo Kim

CoRR, February, 2026

Posterior Label Smoothing for Node Classification.

Jaeseung Heo, MoonJeong Park, Dongwoo Kim

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

In-Place Feedback: A New Paradigm for Guiding LLMs in Multi-Turn Reasoning.

Youngbin Choi, Minjong Lee, Saemi Moon, Seunghyuk Cho, Chaehyeon Chung, MoonJeong Park, Dongwoo Kim

CoRR, October, 2025

The Oversmoothing Fallacy: A Misguided Narrative in GNN Research.

MoonJeong Park, Sunghyun Choi, Jaeseung Heo, Eunhyeok Park, Dongwoo Kim

CoRR, June, 2025

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks.

Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon, MoonJeong Park, Jungseul Ok, Dongwoo Kim

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CoPL: Collaborative Preference Learning for Personalizing LLMs.

Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Taming Gradient Oversmoothing and Expansion in Graph Neural Networks.

Moon Jeong Park, Dongwoo Kim

CoRR, 2024

Distinguishing Neighborhood Representations Through Reverse Process of GNNs for Heterophilic Graphs.

Moon Jeong Park, Jaeseung Heo, Dongwoo Kim

CoRR, 2024

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs.

Moonjeong Park, Jaeseung Heo, Dongwoo Kim

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

SpReME: Sparse Regression for Multi-Environment Dynamic Systems.

Moon Jeong Park, Youngbin Choi, Namhoon Lee, Dongwoo Kim

CoRR, 2023

2022

Large-scale tucker Tensor factorization for sparse and accurate decomposition.

Jun-Gi Jang, Moonjeong Park, Jongwuk Lee, Lee Sael

J. Supercomput., 2022

MetaSSD: Meta-Learned Self-Supervised Detection.

Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

VEST: Very Sparse Tucker Factorization of Large-Scale Tensors.

Moonjeong Park, Jun-Gi Jang, Lee Sael

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021