Seok-Jun Bu

Joined

May 2021

Names

Seok-Jun Bu (Preferred)

Emails

****@yonsei.ac.kr (Confirmed)

Personal Links

Career & Education History

PhD student

Yonsei University (yonsei.ac.kr)

2016 – 2022

Undergrad student

Hanyang University (hanyang.ac.kr)

2012 – 2016

Advisors, Relations & Conflicts

PhD Advisor

2016 – 2022

Expertise

Neuro-symbolic integration

2019 – 2023

Deep learning applications

2016 – 2023

Cybersecurity

2016 – 2023

Publications

Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection
Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho
- 2021 (modified: 31 Mar 2022)
- HAIS 2021
- Readers: Everyone
Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
- 2021 (modified: 31 Mar 2022)
- SOCO 2021
- Readers: Everyone
Adversarial Signal Augmentation for CNN-LSTM to Classify Impact Noise in Automobiles
Seok-Jun Bu, Hyung-Jun Moon, Sung-Bae Cho
- 2021 (modified: 31 Mar 2022)
- BigComp 2021
- Readers: Everyone
Directional Graph Transformer-Based Control Flow Embedding for Malware Classification
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
- 2021 (modified: 31 Mar 2022)
- IDEAL 2021
- Readers: Everyone
Learning Disentangled Representation of Web Address via Convolutional-Recurrent Triplet Network for Classifying Phishing URLs
Seok-Jun Bu, Hae-Jung Kim
- 2021 (modified: 31 Mar 2022)
- ICEIC 2021
- Readers: Everyone
Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images
Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho
- 2021 (modified: 31 Mar 2022)
- IDEAL 2021
- Readers: Everyone
Integrating Deep Learning with First-Order Logic Programmed Constraints for Zero-Day Phishing Attack Detection
Seok-Jun Bu, Sung-Bae Cho
- 2021 (modified: 31 Mar 2022)
- ICASSP 2021
- Readers: Everyone
Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network
Seok-Jun Bu, Sung-Bae Cho
- 2020 (modified: 31 Mar 2022)
- IDEAL (2) 2020
- Readers: Everyone
Detecting Intrusion via Insider Attack in Database Transactions by Learning Disentangled Representation with Deep Metric Neural Network
Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho
- 2020 (modified: 31 Mar 2022)
- CISIS 2020
- Readers: Everyone
Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network
Hyung-Jun Moon, Seok-Jun Bu, Sung-Bae Cho
- 2020 (modified: 31 Mar 2022)
- ICDM (Workshops) 2020
- Readers: Everyone

View all 25 publications

Co-Authors