Effect of Story Programming Embedded Problem Solving Strategies on the Problem Solving Ability. - JungHo Park; JungBum Song; Sunghwan Joo; Taewuk Lee (ICCE, 2007)

DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. - Sunghwan Joo; Sungmin Cha; Taesup Moon (AAAI, 2019)

Subtask Gated Networks for Non-Intrusive Load Monitoring. - Changho Shin; Sunghwan Joo; Jaeryun Yim; Hyoseop Lee; Taesup Moon; Wonjong Rhee (AAAI, 2019)

Fooling Neural Network Interpretations via Adversarial Model Manipulation. - Juyeon Heo; Sunghwan Joo; Taesup Moon (NeurIPS, 2019)

CNN encryption using XOR Gate for Hardware Optimization. - Ki Beom Lee; Sumin Lee; Sunghwan Joo; Hong Keun Ahn; Young Seok Jung; Seong-Ook Jung (ISOCC, 2021)

SIF-NPU: A 28nm 3.48 TOPS/W 0.25 TOPS/mm2 CNN Accelerator with Spatially Independent Fusion for Real-Time UHD Super-Resolution. - Sumin Lee; Ki-Beom Lee; Sunghwan Joo; Hong Keun Ahn; Junghyup Lee; Dohyung Kim 006; Bumsub Ham; Seong-Ook Jung (ESSCIRC, 2022)

Towards More Robust Interpretation via Local Gradient Alignment. - Sunghwan Joo; Seokhyeon Jeong; Juyeon Heo; Adrian Weller; Taesup Moon (AAAI, 2023)

SwiFT: Swin 4D fMRI Transformer. - Peter Yongho Kim; Junbeom Kwon 002; Sunghwan Joo; Sangyoon Bae; Donggyu Lee; Yoonho Jung; Shinjae Yoo; Jiook Cha; Taesup Moon (NeurIPS, 2023)

Debiased Learning via Composed Conceptual Sensitivity Regularization. - Sunghwan Joo; Taesup Moon (IEEE Access, 2024)