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Jinyung Hong
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An insect-inspired randomly, weighted neural network with random fourier features for neuro-symbolic relational learning
J Hong, TP Pavlic
Proceedings of the 15th International Workshop on Neuro-Symbolic Learning …, 2021
72021
SPARQL query processing system over scalable triple data using SparkSQL framework
MJ Jeon, JY Hong, YT Park
Journal of KIISE 43 (4), 450-459, 2016
52016
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
J Hong, TP Pavlic
The First International Workshop on Combining Learning and Reasoning …, 2022
42022
Kcnet: An insect-inspired single-hidden-layer neural network with randomized binary weights for prediction and classification tasks
J Hong, TP Pavlic
arXiv preprint arXiv:2108.07554, 2021
32021
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace
J Hong, KH Park, TP Pavlic
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024, 2024
2*2024
Scalable Ontology Reasoning Using GPU Cluster Approach
JY Hong, MJ Jeon, YT Park
Journal of KIISE 43 (1), 61-70, 2016
12016
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
J Hong, ES Jeon, C Kim, KH Park, U Nath, Y Yang, P Turaga, TP Pavlic
arXiv preprint arXiv:2403.14140, 2024
2024
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
J Hong, TP Pavlic
UniReps: the First Workshop on Unifying Representations in Neural Models at …, 2023
2023
Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual Learning
J Hong, TP Pavlic
arXiv preprint arXiv:2204.04297, 2023
2023
Scalable RDFS Reasoning Using the Graph Structure of In-Memory based Parallel Computing
MJ Jeon, CS So, B Jagvaral, KP Kim, J Kim, JY Hong, YT Park
Journal of KIISE 42 (8), 998-1009, 2015
2015
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Articles 1–10