| 2026 | PAKDD | Physically Motivated Partial-Spectrum Denoising for Robust Hyperspectral Anomaly Detection. | Jungkwon Kim, Chi Zhang, Jihun Kim, Jeonghyeon Park, Kwangsun Yoo, Seok-Joo Byun |
| 2025 | ICDM | Statistical Robustness in Anomaly Detection with Hard Rejection and Adaptive Weighting. | Jungi Lee, Jungkwon Kim, Chi Zhang, Kwangsun Yoo, Seok-Joo Byun |
| 2025 | ICIP | Spectral Mixing Augmentation for Preventing False Positives from Hyperspectral Anomaly Detection. | Sangmin Kim, Jungkwon Kim, Chi Zhang, Jungi Lee, Kwangsun Yoo, Seok-Joo Byun |
| 2025 | ICIP | Aggressive Rejection with Adaptive Gradient for Contaminated Data. | Jungi Lee, Jungkwon Kim, Chi Zhang, Sangmin Kim, Kwangsun Yoo, Seok-Joo Byun |
| 2025 | ICIP | Two-Stage Framework For Enhanced Hyperspectral Anomaly Detection. | Chi Zhang, Jungkwon Kim, Sangmin Kim, Jungi Lee, Kwangsun Yoo, Seok-Joo Byun |
| 2025 | IJCNN | Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss. | Jungi Lee, Jungkwon Kim, Chi Zhang, Sangmin Kim, Kwangsun Yoo, Seok-Joo Byun |