Zheng Zhao
Orcid: 0000-0002-0368-786XAffiliations:
- Uppsala University, Sweden
- Aalto University, Finland (PhD 2021)
According to our database1,
Zheng Zhao
authored at least 23 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
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Bibliography
2023
IEEE Trans. Signal Process., 2023
Multidimensional projection filters via automatic differentiation and sparse-grid integration.
Signal Process., 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Signal Process. Lett., 2022
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors.
Proceedings of the 25th International Conference on Information Fusion, 2022
Proceedings of the 25th International Conference on Information Fusion, 2022
2021
IEEE Trans. Autom. Control., 2021
2020
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection.
J. Signal Process. Syst., 2020
Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network.
CoRR, 2019
Regularized State Estimation And Parameter Learning Via Augmented Lagrangian Kalman Smoother Method.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
2018
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018