Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection Q Zhou, G Pang, Y Tian, S He, J Chen ICLR'24, 2023 | 16 | 2023 |
Pull & push: Leveraging differential knowledge distillation for efficient unsupervised anomaly detection and localization Q Zhou, S He, H Liu, T Chen, J Chen IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 16 | 2022 |
Detecting multivariate time series anomalies with zero known label Q Zhou, J Chen, H Liu, S He, W Meng Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4963-4971, 2023 | 6* | 2023 |
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection C Liu, S He, Q Zhou, S Li, W Meng IJCAI'24, 2024 | 2 | 2024 |
Label-free multivariate time series anomaly detection Q Zhou, S He, H Liu, J Chen, W Meng IEEE Transactions on Knowledge and Data Engineering, 2024 | 1 | 2024 |