Hyung-Jun Moon

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Graph Embedding

Noise Elimination

Fully Connected

Top Venues

ICDM (Workshops)

Publications

Hyung-Jun Moon, Sung-Bae Cho
Contrastive Learning of Multivariate Gaussian Distributions of Incremental Classes for Continual Learning. IWINAC (2024)
Hyung-Jun Moon, Sung-Bae Cho
Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game. CEC (2024)
Hyung-Jun Moon, Sung-Bae Cho
Exploiting Local Information with Subgraph Embedding for Graph Neural Networks. ICDM (Workshops) (2023)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons. Neurocomputing 530 (2023)
Hyung-Jun Moon, Sung-Bae Cho
A Subgraph Embedded GIN with Attention for Graph Classification. IDEAL (2023)
Tae-Heon Kim, Hyung-Jun Moon, Sung-Bae Cho
Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning. IDEAL (2022)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network. SOCO (2021)
Seok-Jun Bu, Hyung-Jun Moon, Sung-Bae Cho
Adversarial Signal Augmentation for CNN-LSTM to Classify Impact Noise in Automobiles. BigComp (2021)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
Directional Graph Transformer-Based Control Flow Embedding for Malware Classification. IDEAL (2021)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network. ICDM (Workshops) (2020)