Chanyoung Park

Orcid: 0000-0002-5957-5816

Affiliations:
  • KAIST, Daejeon, South Korea
  • POSTECH, Pohang, South Korea (former)


According to our database1, Chanyoung Park authored at least 91 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features.
CoRR, August, 2025

Target Circuit Matching in Large-Scale Netlists using GNN-Based Region Prediction.
CoRR, July, 2025

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics.
CoRR, June, 2025

Disambiguation in Conversational Question Answering in the Era of LLM: A Survey.
CoRR, May, 2025

Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems.
CoRR, March, 2025

Training Robust Graph Neural Networks by Modeling Noise Dependencies.
CoRR, February, 2025

RAG-Enhanced Collaborative LLM Agents for Drug Discovery.
CoRR, February, 2025

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision.
CoRR, February, 2025

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models.
CoRR, February, 2025

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
CoRR, February, 2025

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Dynamic Time-aware Continual User Representation Learning.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Subgraph Federated Learning for Local Generalization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning.
CoRR, 2024

3D Interaction Geometric Pre-training for Molecular Relational Learning.
CoRR, 2024

Continual Traffic Forecasting via Mixture of Experts.
CoRR, 2024

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting.
CoRR, 2024

Single-cell RNA sequencing data imputation using bi-level feature propagation.
Briefings Bioinform., 2024

Self-Guided Robust Graph Structure Refinement.
Proceedings of the ACM on Web Conference 2024, 2024

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning.
Proceedings of the ACM on Web Conference 2024, 2024

Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unsupervised Episode Generation for Graph Meta-learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Self-training Framework for Fine-grained Scene Graph Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network.
Proceedings of the Computer Vision - ECCV 2024, 2024

Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Sterling: Synergistic Representation Learning on Bipartite Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Stoichiometry Representation Learning with Polymorphic Crystal Structures.
CoRR, 2023

LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation.
CoRR, 2023

Single-cell RNA-seq data imputation using Feature Propagation.
CoRR, 2023

Predicting Density of States via Multi-modal Transformer.
CoRR, 2023

MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Interpretable Prototype-based Graph Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Shift-Robust Molecular Relational Learning with Causal Substructure.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Task Relation-aware Continual User Representation Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Task-Equivariant Graph Few-shot Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Similarity Preserving Adversarial Graph Contrastive Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Conditional Graph Information Bottleneck for Molecular Relational Learning.
Proceedings of the International Conference on Machine Learning, 2023

MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

S-Mixup: Structural Mixup for Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Class Label-aware Graph Anomaly Detection.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Self-supervised graph representation learning via positive mining.
Inf. Sci., 2022

Shift-Robust Node Classification via Graph Adversarial Clustering.
CoRR, 2022

AHP: Learning to Negative Sample for Hyperedge Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Nonlinearity Encoding for Extrapolation of Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Set2Box: Similarity Preserving Representation Learning for Sets.
Proceedings of the IEEE International Conference on Data Mining, 2022

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

LTE4G: Long-Tail Experts for Graph Neural Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Relational Self-Supervised Learning on Graphs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Augmentation-Free Self-Supervised Learning on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Learning to utilize auxiliary reviews for recommendation.
Inf. Sci., 2021

HDMI: High-order Deep Multiplex Infomax.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Bootstrapping User and Item Representations for One-Class Collaborative Filtering.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learnable Structural Semantic Readout for Graph Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Deep multiplex graph infomax: Attentive multiplex network embedding using global information.
Knowl. Based Syst., 2020

Click-aware purchase prediction with push at the top.
Inf. Sci., 2020

Unsupervised Differentiable Multi-aspect Network Embedding.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Interest Sustainability-Aware Recommender System.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Unsupervised Attributed Multiplex Network Embedding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
An encoder-decoder switch network for purchase prediction.
Knowl. Based Syst., 2019

Target-aware convolutional neural network for target-level sentiment analysis.
Inf. Sci., 2019

Action Space Learning for Heterogeneous User Behavior Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Sequential and Diverse Recommendation with Long Tail.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Task-Guided Pair Embedding in Heterogeneous Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Review Sentiment-Guided Scalable Deep Recommender System.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Collaborative Translational Metric Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Deep hybrid recommender systems via exploiting document context and statistics of items.
Inf. Sci., 2017

Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship.
CoRR, 2017

Do "Also-Viewed" Products Help User Rating Prediction?
Proceedings of the 26th International Conference on World Wide Web, 2017

2016
Improving top-K recommendation with truster and trustee relationship in user trust network.
Inf. Sci., 2016

TRecSo: Enhancing Top-k Recommendation With Social Information.
Proceedings of the 25th International Conference on World Wide Web, 2016

Convolutional Matrix Factorization for Document Context-Aware Recommendation.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015


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