Sunghwan Joo

PhD student, Sung Kyun Kwan University

Joined

December 2019

Sunghwan Joo (Preferred)

****@gmail.com (Confirmed)

****@skku.edu (Confirmed)

PhD student

Sung Kyun Kwan University (skku.ac.kr)

2017 – Present

PhD Advisor

Taesup Moon

2017 – Present

Debiased learning

2022 – Present

Explainable AI

2019 – Present

Adversarial attack

2019 – 2020

Denoising

2017 – 2019

SwiFT: Swin 4D fMRI Transformer
Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon
- NeurIPS 2023 poster
- Readers: Everyone
Towards More Robust Interpretation via Local Gradient Alignment
Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon
- 2022 (modified: 17 Apr 2023)
- CoRR 2022
- Readers: Everyone
Subtask Gated Networks for Non-Intrusive Load Monitoring.
Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee
- 2019 (modified: 10 Nov 2022)
- AAAI2019
- Readers: Everyone
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling.
Sunghwan Joo, Sungmin Cha, Taesup Moon
- 2019 (modified: 10 Nov 2022)
- AAAI2019
- Readers: Everyone
DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling
Sunghwan Joo, Sungmin Cha, Taesup Moon
- 2019 (modified: 15 Nov 2022)
- AAAI 2019
- Readers: Everyone
Fooling Neural Network Interpretations via Adversarial Model Manipulation
Juyeon Heo, Sunghwan Joo, Taesup Moon
- 2019 (modified: 17 Apr 2023)
- NeurIPS 2019
- Readers: Everyone
Subtask Gated Networks for Non-Intrusive Load Monitoring
Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, Wonjong Rhee
- 2019 (modified: 17 Apr 2023)
- AAAI 2019
- Readers: Everyone