| 2026 | ACL | Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams. | Jiyeon Kim, Hyunji Lee, Dylan Zhou, Sue Hyun Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Sungmin Cha, Minjoon Seo |
| 2025 | ICLR | Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee |
| 2025 | Interspeech | Cross-Modal Watermarking for Authentic Audio Recovery and Tamper Localization in Synthesized Audiovisual Forgeries. | Minyoung Kim, Sehwan Park, Sungmin Cha, Paul Hongsuck Seo |
| 2024 | AAAI | Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee |
| 2024 | ECCV | Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. | Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min |
| 2024 | ICML | Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning. | Sungmin Cha, Kyunghyun Cho, Taesup Moon |
| 2024 | WACV | NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations. | Sungmin Cha, Naeun Ko, Heewoong Choi, Youngjoon Yoo, Taesup Moon |
| 2023 | ACL | Knowledge Unlearning for Mitigating Privacy Risks in Language Models. | Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo |
| 2023 | CVPR | Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon |
| 2021 | CVPR | FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. | Jaeseok Byun, Sungmin Cha, Taesup Moon |
| 2021 | ICLR | CPR: Classifier-Projection Regularization for Continual Learning. | Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flvio P. Calmon, Taesup Moon |
| 2021 | ICLR | GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images. | Sungmin Cha, Taeeon Park, Byeongjoon Kim, Jongduk Baek, Taesup Moon |
| 2019 | AAAI | DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling. | Sunghwan Joo, Sungmin Cha, Taesup Moon |
| 2019 | ICCV | Fully Convolutional Pixel Adaptive Image Denoiser. | Sungmin Cha, Taesup Moon |
| 2018 | ICASSP | Neural Adaptive Image Denoiser. | Sungmin Cha, Taesup Moon |