| Attention-based parallel networks (APNet) for PM2. 5 spatiotemporal prediction J Zhu, F Deng, J Zhao, H Zheng Science of The Total Environment 769, 145082, 2021 | 49 | 2021 |
| Adaptive aggregation-distillation autoencoder for unsupervised anomaly detection J Zhu, F Deng, J Zhao, J Chen Pattern Recognition 131, 108897, 2022 | 11 | 2022 |
| MGG: Monocular global geolocation for outdoor long-range targets F Gao, F Deng, L Li, L Zhang, J Zhu, C Yu IEEE Transactions on Image Processing 30, 6349-6363, 2021 | 10 | 2021 |
| Gaussian Mixture Variational Autoencoder with Whitening Score for Multimodal Time Series Anomaly Detection J Zhu, F Deng, J Zhao, Z Ye, J Chen 2022 IEEE 17th International Conference on Control & Automation (ICCA), 480-485, 2022 | 3 | 2022 |
| Searching Density-increasing Path to Local Density Peaks for Unsupervised Anomaly Detection J Zhao, F Deng, J Zhu, J Chen IEEE Transactions on Big Data, 2023 | 2 | 2023 |
| UAED: Unsupervised Abnormal Emotion Detection Network Based on Wearable Mobile Device J Zhu, F Deng, J Zhao, D Liu, J Chen IEEE Transactions on Network Science and Engineering, 2023 | 1 | 2023 |
| Do LLMs Understand Visual Anomalies? Uncovering LLM Capabilities in Zero-shot Anomaly Detection J Zhu, S Cai, F Deng, J Wu arXiv preprint arXiv:2404.09654, 2024 | | 2024 |
| Balanced Multi-modal Federated Learning via Cross-Modal Infiltration Y Fan, W Xu, H Wang, J Zhu, S Guo arXiv preprint arXiv:2401.00894, 2023 | | 2023 |
| METER: A Dynamic Concept Adaptation Framework for Online Anomaly Detection J Zhu, S Cai, F Deng, BC Ooi, W Zhang arXiv preprint arXiv:2312.16831, 2023 | | 2023 |
| DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning Y Fan, W Xu, H Wang, J Zhu, J Wang, S Guo arXiv preprint arXiv:2303.07864, 2023 | | 2023 |
Fang DengBeijing Institute of TechnologyVerified email at bit.edu.cn
