Differentiable meta-learning model for few-shot semantic segmentation P Tian, Z Wu, L Qi, L Wang, Y Shi, Y Gao Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12087 …, 2020 | 90 | 2020 |
Local descriptor-based multi-prototype network for few-shot learning H Huang, Z Wu, W Li, J Huo, Y Gao Pattern Recognition 116, 107935, 2021 | 88 | 2021 |
evae: Evolutionary variational autoencoder Z Wu, L Cao, L Qi IEEE Transactions on Neural Networks and Learning Systems, 2024 | 10 | 2024 |
Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation Y Chen, K Shi, Z Wu, J Chen, X Wang, J McAuley, G Xu, S Yu arXiv preprint arXiv:2402.11558, 2024 | 4 | 2024 |
A novel fault propagation path identification inference algorithm using parent nodes filter S Sun, Z Wu, C Zhou, X Qi, B Song, Y Gao International Journal of Data Science and Analytics 10, 205-213, 2020 | 3 | 2020 |
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification H Chen, H Liu, Z Wu, X Fan, L Cao arXiv preprint arXiv:2404.15657, 2024 | 2 | 2024 |
CVAE: Gaussian Copula-based VAE Differing Disentangled from Coupled Representations with Contrastive Posterior Z Wu, L Cao arXiv preprint arXiv:2309.13303, 2023 | 2 | 2023 |
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Z Wu, X Fan, J Li, Z Zhao, H Chen, L Cao arXiv preprint arXiv:2405.15268, 2024 | 1 | 2024 |
LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation H Ding, Z Wu, J Zhang, M Ping, Y Liu arXiv preprint arXiv:2403.11122, 2024 | 1 | 2024 |
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection Z Wu, L Cao, Q Zhang, J Zhou, H Chen arXiv preprint arXiv:2401.03341, 2024 | 1 | 2024 |