Suhyeon Kim

Orcid: 0000-0001-6475-2461

According to our database1, Suhyeon Kim authored at least 25 papers between 2007 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
NeuVolEx: Implicit Neural Features for Volume Exploration.
CoRR, April, 2026

Multi-modal deep learning-based fashion recommendation with styles.
Knowl. Based Syst., 2026

A graph neural network approach for aquatic biodiversity prediction leveraging water system interconnections.
Ecol. Informatics, 2026

2025
An intuitive and semi-automated transfer function design for interactive region of interest-based direct volume rendering in mixed reality head mounted devices.
Virtual Real., June, 2025

TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values.
Expert Syst. Appl., 2025

Inter-country trade similarity graph-based long short-term memory for port throughput prediction.
Eng. Appl. Artif. Intell., 2025

Review learning: Real world validation of privacy preserving continual learning across medical institutions.
Comput. Biol. Medicine, 2025

A Lightweight and Accurate Localization Model for Anatomical Landmark in Medical Imaging Using Depth-Wise Separable Convolution.
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

Instinctual-TF: Feel Free to Manipulate Transfer Function in Mixed Reality Environments.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2025

2024
The Adaption of Recent New Concepts in Neural Radiance Fields and Their Role for High-Fidelity Volume Reconstruction in Medical Images.
Sensors, September, 2024

HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis.
Inf. Sci., 2024

An Automated Marker-Less Registration Approach Using Neural Radiance Fields for Potential Use in Mixed Reality-Based Computer-Aided Surgical Navigation of Paranasal Sinus.
Comput., 2024

General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting.
Inf. Sci., December, 2023

Design of 3D Controller Using Nanocracking Structure-Based Stretchable Strain Sensor.
Sensors, 2023

Abdominal Aortic Thrombus Segmentation in Postoperative Computed Tomography Angiography Images Using Bi-Directional Convolutional Long Short-Term Memory Architecture.
Sensors, 2023

Automated Marker-Less Patient-to-Preoperative Medical Image Registration Approach Using RGB-D Images and Facial Landmarks for Potential Use in Computed-Aided Surgical Navigation of the Paranasal Sinus.
Proceedings of the Advances in Computer Graphics, 2023

2022
Risk score-embedded deep learning for biological age estimation: Development and validation.
Inf. Sci., 2022

Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator.
CoRR, 2022

Circular Formation Guidance of Fixed-Wing UAVs Using Mesh Network.
IEEE Access, 2022

Codeless Content Creator System: Anyone Can Make Their Own Mixed Reality Content Without Relying on Software Developer Tools.
Proceedings of the SIGGRAPH Asia 2022 Posters, 2022

2021
A multi-stage data mining approach for liquid bulk cargo volume analysis based on bill of lading data.
Expert Syst. Appl., 2021

2020
Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis.
Expert Syst. Appl., 2020

2009
Increasing SLAM Performance by Integrating Grid and Topology Map.
J. Comput., 2009

2007
Transportation Network Design Considering Travel Time Reliability.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007


  Loading...