Jinyoung Park
21 papers · 2020–2026 · 7 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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(13)
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Research topics
Deep Learning
(13)
Machine Learning
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Artificial Intelligence
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Architectures
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Core AI
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Computer Vision
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Analysis
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Learning Paradigms
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Optimization & Theory
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Application Areas
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Core Methods
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Models
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Knowledge & Reasoning
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Keywords
graph neural network
(6)
attention mechanism
(3)
molecular graph
(2)
video understanding
(2)
knowledge graph
(2)
latent space
(2)
large language model
(2)
vision-language model
(2)
relation-aware attention
(2)
object detection
(2)
domain generalization
(1)
self-supervised learning
(1)
weakly supervised learning
(1)
data augmentation
(1)
few-shot learning
(1)
semantic segmentation
(1)
direct preference optimization
(1)
human-object interaction
(1)
deformable convolution
(1)
semi-supervised learning
(1)
Papers
Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration
AAAI 2026
MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
CVPR 2026
RegFormer: Transferable Relational Grounding for Efficient Weakly-Supervised Human-Object Interaction Detection
CVPR 2026
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
AAAI 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows
ICLR 2025
VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning
AAAI 2025
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
ECCV 2024
Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation
EMNLP 2024
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection
CVPR 2024
Inversion-based Latent Bayesian Optimization
NeurIPS 2024
LLaMo: Large Language Model-based Molecular Graph Assistant
NeurIPS 2024
Prompt Learning via Meta-Regularization
CVPR 2024
Sketch-Based Video Object Localization
WACV 2024
VideoMamba: Spatio-Temporal Selective State Space Model
ECCV 2024
Relation-Aware Language-Graph Transformer for Question Answering
AAAI 2023
Self-Positioning Point-Based Transformer for Point Cloud Understanding
CVPR 2023
Deformable Graph Convolutional Networks
AAAI 2022
OCR-Free Document Understanding Transformer
ECCV 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks
NeurIPS 2021
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods
ECCV 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
NeurIPS 2020