Conference

110. Jiyul Ham, Jun-Geol Baek, "DHR-CLIP: Dynamic High-Resolution Object-agnostic Prompt Learning for Zero-shot Anomaly Segmentation", ICAIIC 2025: International Conference on Artificial Intelligence in Information and Communication, Fukuoka, Japan, 2025.02.

109. Wonhwa Choi, Jun-Geol Baek, "Cyclic Pattern-based Anomaly Detection in Smart Manufacturing Systems using Contrastive Learning", ICAIIC 2025: International Conference on Artificial Intelligence in Information and Communication, Fukuoka, Japan, 2025.02.

108. Byoungmo Koo, Yuseon Byun, Jun-Geol Baek, "Decomposed Degradation Pattern Alignment for Domain Adaptation in Machine Remaining Useful Life Prediction", ICAIIC 2025: International Conference on Artificial Intelligence in Information and Communication, Fukuoka, Japan, 2025.02.

107. Kwanyong Park, Jun-geol Baek, "DSP R-CNN : Direct Set Prediction Region with Convolutional Neuron Networks features", ICAIIC 2024: International Conference on Artificial Intelligence in Information and Communication, Osaka, Japan, 2024. 02.

106. Kyeonggeun Park, Jun-Geol Baek, "State-aware online self-supervised domain adaptation for bearing remaining useful life prediction", EURO 2024: 33rd European Conference on Operational Research, Copenhagen, Denmark, 2024. 07.

105. Seunghwan Song, Jeena Son, Junyong Lee, Jun-Geol Baek, "Contrastive Transfer Learning Based on Damage Prop agation for Remaining Useful Life Prediction", EURO 2024: 33rd European Conference on Operational Research, Copenhagen, Denmark, 2024. 07.

104. Junyong Lee, Jun-Geol Baek, "Mixture of Experts-based Coherent Probabilistic Forecasts for Hierarchically related Time Series", EURO 2024: 33rd European Conference on Operational Research, Copenhagen, Denmark, 2024. 07.

103. Jinhyeok Lee, Jun-geol Baek, "UMAD-G: Unsupervised Multi-modal time series Anomaly Detection via Graph", ICAIIC 2024: International Conference on Artificial Intelligence in Information and Communication, Osaka, Japan, 2024. 02.

102. Kio Yun, Jun-Geol Baek, "Reinforcement Learning for Time Series Data with Partially Labeled Anomalies", ICAIIC 2024: International Conference on Artificial Intelligence in Information and Communication, Osaka, Japan, 2024. 02.

101. Jeena Son, Seunghwan Song, Jun-Geol Baek, "Patch-based Time-Series Anomaly Detection with Cross-Variable Attention", ICAIIC 2024: International Conference on Artificial Intelligence in Information and Communication, Osaka, Japan, 2024. 02.