Bachelor of Science (B.S.) in Physics & Electrical and Computer Engineering, Sungkyunkwan University (SKKU)

• March 2011 - August 2017

Doctor of Philosophy (Ph.D) in the Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU) 

• September 2017 - February 2025

[J1] Debiased Learning via Composed Conceptual Sensitivity Regularization

• Sunghwan Joo and Taesup moon

• IEEE Access (Impact factor: 3.4), doi:10.1109/ACCESS.2024.3477454 (Acceptance rate: 27%)

[C5] SwiFT: Swin 4D fMRI Transformer

• Peter Yongho Kim*, Junbeom Kwon*, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon

• Proceedings of Neural Information Processing Systems (NeurIPS), December 2023 (Acceptance rate: 26.1%)

[C4] Towards More Robust Interpretation via Local Gradient Alignment

• Sunghwan Joo*, Seokhyun Jeong*, Juyeon Heo, Adrian Weller, and Taesup Moon

• Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), February 2023 (Acceptance rate: 19.6%)

[C3] Fooling Neural Network Interpretations via Adversarial Model Manipulation

• Juyeon Heo*, Sunghwan Joo*, and Taesup Moon

• Proceedings of Neural Information Processing Systems (NeurIPS), December 2019 (Acceptance rate: 21.1%)

[C2] Subtask Gated Networks for Non-Intrusive Load Monitoring

• Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, and Wonjong Rhee

• Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), January 2019 (Acceptance rate: 16.2%)

[C1] DoPAMINE: Double-Sided Masked CNN for Pixelwise Adaptive Multiplicative Noise Despeckling (Oral)

• Sunghwan Joo, Sungmin Cha, and Taesup Moon

• Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), January 2019 (Acceptance rate: 16.2%)

(* Equal contribution)