Chanyoung Park

Orcid: 0000-0002-5957-5816

According to our database1, Chanyoung Park authored at least 84 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning.
CoRR, 2024

Self-Guided Robust Graph Structure Refinement.
CoRR, 2024

Adaptive Self-training Framework for Fine-grained Scene Graph Generation.
CoRR, 2024

Multivariate Time-Series Cluster Analysis for Multiple Functional Domains to Identify Recovery Patterns of Patients With Fragility Hip Fracture After Surgery.
IEEE Access, 2024

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

2023
Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks.
IEEE Trans. Veh. Technol., November, 2023

Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility.
IEEE Trans. Intell. Veh., August, 2023

Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems.
IEEE Internet Things J., 2023

EQuaTE: Efficient Quantum Train Engine for Runtime Dynamic Analysis and Visual Feedback in Autonomous Driving.
IEEE Internet Comput., 2023

Stoichiometry Representation Learning with Polymorphic Crystal Structures.
CoRR, 2023

Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization.
CoRR, 2023

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

Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation.
CoRR, 2023

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

Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes.
CoRR, 2023

Unsupervised Episode Generation for Graph Meta-learning.
CoRR, 2023

Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications.
CoRR, 2023

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

Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems.
CoRR, 2023

EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback.
CoRR, 2023

Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks.
IEEE Access, 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

Hybrid MAC for Military UAV Networks.
Proceedings of the International Conference on Information Networking, 2023

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

Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility.
Proceedings of the IEEE International Conference on Communications, 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

Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning.
CoRR, 2022

Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles.
CoRR, 2022

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control.
CoRR, 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

IMIPMF: Inferring miRNA-disease interactions using probabilistic matrix factorization.
J. Biomed. Informatics, 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

Poster: Prototype of Configurable Redfish Query Proxy Module.
Proceedings of the 28th IEEE International Conference on Network Protocols, 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

Change Your Cluster to Cold: Gradually Applicable and Serviceable Cold Storage Design.
IEEE Access, 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
Augmented Reality-Based Real-Time Accurate Artifact Management System for Museums.
Presence Teleoperators Virtual Environ., 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

Analyzing I/O Request Characteristics of a Mobile Messenger and Benchmark Framework for Serviceable Cold Storage.
IEEE Access, 2017

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

Measuring the eccentricity of items.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Multi-fidelity Surrogate Modeling for Application/Architecture Co-design.
Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 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

ROSS: A Design of Read-Oriented STT-MRAM Storage for Energy-Efficient Non-Uniform Cache Architecture.
Proceedings of the 4th Workshop on Interactions of NVM/Flash with Operating Systems and Workloads, 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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