Hyung-Jun Moon
According to our database1,
Hyung-Jun Moon
authored at least 8 papers
between 2020 and 2023.
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Bibliography
2023
A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons.
Neurocomputing, April, 2023
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
2021
Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Directional Graph Transformer-Based Control Flow Embedding for Malware Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Adversarial Signal Augmentation for CNN-LSTM to Classify Impact Noise in Automobiles.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021
2020
Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020