Chanyoung Park
28 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(43)
π
Keyword Champion
(2)
π
Grand Slam
π
Triple Crown
π
Century Club
(26)
β
The Questioner
ποΈ
Keyword Collector
(89)
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
Conferences
AAAI (7)
ICLR (4)
ICML (4)
NIPS (3)
ECCV (2)
EMNLP (2)
IJCAI (2)
NAACL (2)
ACL (1)
CVPR (1)
Top co-authors
Keywords
graph neural network
(5)
large language model
(4)
retrieval-augmented generation
(3)
graph representation learning
(3)
scene graph generation
(3)
self-supervised learning
(2)
chain-of-thought reasoning
(2)
heterogeneous graph
(2)
multiplex network
(2)
mutual information
(2)
information bottleneck
(2)
visual reasoning
(2)
attention mechanism
(1)
natural language processing
(1)
collaborative filtering
(1)
prototype learning
(1)
domain generalization
(1)
contrastive learning
(1)
graph learning
(1)
multimodal learning
(1)
Papers
Reasoning Structure Matters for Safety Alignment of Reasoning Models
ACL 2026
RAG-Enhanced Collaborative LLM Agents for Drug Discovery
AAAI 2026
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
ICML 2025
Subgraph Federated Learning for Local Generalization
ICLR 2025
Weakly Supervised Video Scene Graph Generation via Natural Language Supervision
ICLR 2025
Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
ICLR 2025
Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
ICML 2025
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning
AAAI 2025
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
NAACL 2025
Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
EMNLP 2025
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
NAACL 2025
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
EMNLP 2025
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
ICLR 2024
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
NIPS 2024
Sterling: Synergistic Representation Learning on Bipartite Graphs
AAAI 2024
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
CVPR 2024
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network
ECCV 2024
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation
ECCV 2024
Unsupervised Episode Generation for Graph Meta-learning
ICML 2024
Interpretable Prototype-based Graph Information Bottleneck
NIPS 2023
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer
NIPS 2023
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
AAAI 2023
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network
AAAI 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
ICML 2023
Augmentation-Free Self-Supervised Learning on Graphs
AAAI 2022
Unsupervised Attributed Multiplex Network Embedding
AAAI 2020
Sequential and Diverse Recommendation with Long Tail
IJCAI 2019
Action Space Learning for Heterogeneous User Behavior Prediction
IJCAI 2019