Seok-Jun Bu

35 papers C 2Misc 12Journal 10Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
Disentangled Prototypical Convolutional Network for Few-Shot Learning in In-Vehicle Noise Classification.
IEEE Access
Robin Inho Kee, Dahyun Nam, Seok-Jun Bu, Sung-Bae Cho
2024 J jnl
Graph Anomaly Detection With Disentangled Prototypical Autoencoder for Phishing Scam Detection in Cryptocurrency Transactions.
IEEE Access
Junha Kang, Seok-Jun Bu
2023 Misc conf
A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand.
HAIS
Seok-Jun Bu, Sung-Bae Cho
2023 J jnl
A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons.
Neurocomputing
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
2023 J jnl
Malware classification with disentangled representation learning of evolutionary triplet network.
Neurocomputing
Seok-Jun Bu, Sung-Bae Cho
2023 — conf
Phishing URL Detection with Prototypical Neural Network Disentangled by Triplet Sampling.
CISIS-ICEUTE
Seok-Jun Bu, Sung-Bae Cho
2023 J jnl
Triplet-trained graph transformer with control flow graph for few-shot malware classification.
Inf. Sci.
Seok-Jun Bu, Sung-Bae Cho
2022 Misc conf
A Neuro-Symbolic AI System for Visual Question Answering in Pedestrian Video Sequences.
HAIS
Jaeil Park, Seok-Jun Bu, Sung-Bae Cho
2022 Misc conf
Evolutionary Triplet Network of Learning Disentangled Malware Space for Malware Classification.
HAIS
Kyoung-won Park, Seok-Jun Bu, Sung-Bae Cho
2022 J jnl
Insider attack detection in database with deep metric neural network with Monte Carlo sampling.
Log. J. IGPL
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
2021 — conf
Adversarial Signal Augmentation for CNN-LSTM to Classify Impact Noise in Automobiles.
BigComp
Seok-Jun Bu, Hyung-Jun Moon, Sung-Bae Cho
2021 C conf
Directional Graph Transformer-Based Control Flow Embedding for Malware Classification.
IDEAL
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
2021 Misc conf
Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection.
HAIS
Kyoung-won Park, Seok-Jun Bu, Sung-Bae Cho
2021 Misc conf
Integrating Deep Learning with First-Order Logic Programmed Constraints for Zero-Day Phishing Attack Detection.
ICASSP
Seok-Jun Bu, Sung-Bae Cho
2021 — conf
Learning Disentangled Representation of Web Address via Convolutional-Recurrent Triplet Network for Classifying Phishing URLs.
ICEIC
Seok-Jun Bu, Hae-Jung Kim
2021 C conf
Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images.
IDEAL
Kyoung-won Park, Seok-Jun Bu, Sung-Bae Cho
2021 — conf
Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network.
SOCO
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
2020 J jnl
3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance.
Int. J. Neural Syst.
Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho
2020 — conf
A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects.
IDEAL (2)
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
2020 Misc conf
A Monte Carlo Search-Based Triplet Sampling Method for Learning Disentangled Representation of Impulsive Noise on Steering Gear.
ICASSP
Seok-Jun Bu, Namu Park, Gue-Hwan Nam, Jae-Yong Seo, Sung-Bae Cho
2020 J jnl
A convolutional neural-based learning classifier system for detecting database intrusion via insider attack.
Inf. Sci.
Seok-Jun Bu, Sung-Bae Cho
2020 — conf
Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network.
IDEAL (2)
Seok-Jun Bu, Sung-Bae Cho
2020 Misc conf
Data Augmentation Using Empirical Mode Decomposition on Neural Networks to Classify Impact Noise in Vehicle.
ICASSP
Gue-Hwan Nam, Seok-Jun Bu, Namu Park, Jae-Yong Seo, Hyeon-Cheol Jo, Won-Tae Jeong
2020 Misc conf
Detecting Intrusion via Insider Attack in Database Transactions by Learning Disentangled Representation with Deep Metric Neural Network.
CISIS
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
2020 — conf
Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network.
ICDM (Workshops)
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
2019 — conf
A Deep Learning-Based Surface Defect Inspection System for Smartphone Glass.
IDEAL (1)
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
2019 J jnl
Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning.
CoRR
Wonsup Shin, Seok-Jun Bu, Sung-Bae Cho
2019 — conf
Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks.
IEEE BigData
Seok-Jun Bu, Sung-Bae Cho
2019 Misc conf
Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack.
HAIS
Seok-Jun Bu, Sung-Bae Cho
2018 Misc conf
A Hybrid Deep Learning System of CNN and LRCN to Detect Cyberbullying from SNS Comments.
HAIS
Seok-Jun Bu, Sung-Bae Cho
2018 Misc conf
Hybrid Deep Learning Based on GAN for Classifying BSR Noises from Invehicle Sensors.
HAIS
Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho
2018 — conf
Learning Optimal Q-Function Using Deep Boltzmann Machine for Reliable Trading of Cryptocurrency.
IDEAL (1)
Seok-Jun Bu, Sung-Bae Cho
2018 J jnl
Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders.
Inf. Sci.
Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho
2017 Misc conf
A Hybrid System of Deep Learning and Learning Classifier System for Database Intrusion Detection.
HAIS
Seok-Jun Bu, Sung-Bae Cho
2017 — conf
Malware Detection Using Deep Transferred Generative Adversarial Networks.
ICONIP (1)
Jin-Young Kim, Seok-Jun Bu, Sung-Bae Cho