| Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection Q Zhou, G Pang, Y Tian, S He, J Chen ICLR'24, 2024 | 129 | 2024 |
| 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 33 (5), 2176-2189, 2022 | 47 | 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 | 27 | 2023 |
| Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection C Liu, S He, Q Zhou, S Li, W Meng Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 20 | 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 | 16 | 2024 |
| PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection Q Zhou, J Yan, S He, W Meng, J Chen The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024 | 2 | 2024 |
| FairDD: Fair Dataset Distillation via Synchronized Matching Q Zhou, S Fang, S He, W Meng, J Chen arXiv preprint arXiv:2411.19623, 2024 | 1 | 2024 |
| Distributed Boosting: An Enhancing Method on Dataset Distillation X Chen, W Meng, P Wang, Q Zhou Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 1 | 2024 |
| MoEAD: A Parameter-efficient Model for Multi-class Anomaly Detection S Meng, W Meng, Q Zhou, S Li, W Hou, S He ECCV'24, 2024 | 1 | 2024 |
Shibo HeProfessor, College of Control Science and Engineering, Zhejiang universityVerified email at zju.edu.cn
