We stand with Ukraine

We stand with Ukraine

Jeongwhan Choi

Orcid: 0000-0002-6530-2662

Affiliations:

Yonsei University, Seoul, Korea

According to our database¹, Jeongwhan Choi authored at least 30 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org
on scholar.google.com

On csauthors.net:

Bibliography

2025

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain.

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CoRR, May, 2025

Possibility for Proactive Anomaly Detection.

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CoRR, April, 2025

Predicting drug-drug interactions: A deep learning approach with GCN-based collaborative filtering.

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Artif. Intell. Medicine, 2025

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation.

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Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features.

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Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2025

2024

Graph Signal Processing for Cross-Domain Recommendation.

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CoRR, 2024

Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering.

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CoRR, 2024

Graph Convolutions Enrich the Self-Attention in Transformers!

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Nathaniel Trask

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SVD-AE: Simple Autoencoders for Collaborative Filtering.

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Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Polynomial-based Self-Attention for Table Representation Learning.

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

PANDA: Expanded Width-Aware Message Passing Beyond Rewiring.

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Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer.

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Joon-Young Yang

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP.

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Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph Neural Rough Differential Equations for Traffic Forecasting.

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ACM Trans. Intell. Syst. Technol., August, 2023

Climate modeling with neural advection-diffusion equation.

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Knowl. Inf. Syst., June, 2023

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation.

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CoRR, 2023

Blurring-Sharpening Process Models for Collaborative Filtering.

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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

GREAD: Graph Neural Reaction-Diffusion Networks.

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Proceedings of the International Conference on Machine Learning, 2023

Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations.

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Proceedings of the IEEE International Conference on Big Data, 2023

QoS-Aware Graph Contrastive Learning for Web Service Recommendation.

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Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

GREAD: Graph Neural Reaction-Diffusion Equations.

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CoRR, 2022

Time Series Forecasting with Hypernetworks Generating Parameters in Advance.

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CoRR, 2022

Perturbation-Recovery Method for Recommendation.

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CoRR, 2022

Linear, or Non-Linear, That is the Question!

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Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Prediction-based One-shot Dynamic Parking Pricing.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Neural Controlled Differential Equations for Traffic Forecasting.

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

2021

Climate Modeling with Neural Diffusion Equations.

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Proceedings of the IEEE International Conference on Data Mining, 2021

LT-OCF: Learnable-Time ODE-based Collaborative Filtering.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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