Jinyoung Park

Orcid: 0000-0001-6913-7556

Affiliations:

Korea University, Seoul, Korea

According to our database¹, Jinyoung Park authored at least 25 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Parameter-Efficient Fine-Tuning via Meta-Regularizer.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., April, 2026

RegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection.

[BibT_eX]

[DOI]

CoRR, April, 2026

MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

ProGraph-R1: Progress-aware Reinforcement Learning for Graph Retrieval Augmented Generation.

[BibT_eX]

[DOI]

CoRR, January, 2026

Improved query specialization for transformer-based visual relationship detection.

[BibT_eX]

[DOI]

Inf. Sci., 2026

Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Deformable Graph Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO.

[BibT_eX]

[DOI]

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

Latent Bayesian Optimization via Autoregressive Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

LLaMo: Large Language Model-based Molecular Graph Assistant.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Inversion-based Latent Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prompt Learning via Meta-Regularization.

[BibT_eX]

[DOI]

Jinyoung Park

Juyeon Ko

Hyunwoo J. Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-Based Visual Relationship Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Positioning Point-Based Transformer for Point Cloud Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Relation-Aware Language-Graph Transformer for Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deformable Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Non-Parametric Surrogate Losses With Correlated Gradients.

[BibT_eX]

[DOI]

Seungdong Yoa

Jinyoung Park

Hyunwoo J. Kim

IEEE Access, 2021

Metropolis-Hastings Data Augmentation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation.

[BibT_eX]

[DOI]

CoRR, 2020

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Jinyoung Park

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