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Yinhao Zhu
Yinhao Zhu
Qualcomm AI Research
Verified email at qti.qualcomm.com - Homepage
Title
Cited by
Cited by
Year
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Y Zhu, N Zabaras, PS Koutsourelakis, P Perdikaris
Journal of Computational Physics 394, 56-81, 2019
5202019
Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification
Y Zhu, N Zabaras
Journal of Computational Physics 366, 415-447, 2018
4212018
Deep convolutional encoder‐decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media
S Mo, Y Zhu, N Zabaras, X Shi, J Wu
Water Resources Research 55 (1), 703-728, 2019
1772019
A poisson-gaussian denoising dataset with real fluorescence microscopy images
Y Zhang, Y Zhu, E Nichols, Q Wang, S Zhang, C Smith, S Howard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1002019
Transformer-based Transform Coding
Y Zhu, Y Yang, T Cohen
International Conference on Learning Representations, 2021
132021
Real-time image denoising of mixed Poisson–Gaussian noise in fluorescence microscopy images using ImageJ
V Mannam, Y Zhang, Y Zhu, E Nichols, Q Wang, V Sundaresan, S Zhang, ...
Optica 9 (4), 335-345, 2022
72022
Transform network architectures for deep learning based end-to-end image/video coding in subsampled color spaces
HE Egilmez, AK Singh, M Coban, M Karczewicz, Y Zhu, Y Yang, A Said, ...
IEEE Open Journal of Signal Processing 2, 441-452, 2021
72021
Progressive Neural Image Compression with Nested Quantization and Latent Ordering
Y Lu, Y Zhu, Y Yang, A Said, TS Cohen
2021 IEEE International Conference on Image Processing (ICIP), 539-543, 2021
62021
Performance guaranteed human-robot collaboration through correct-by-design
X Zhang, Y Zhu, H Lin
2016 American Control Conference (ACC), 6183-6188, 2016
62016
Multi-scale optical flow for learned video compression
R Pourreza, A Said, Y Yang, ZHU Yinhao, TS Cohen
US Patent App. 17/207,244, 2022
2022
Data compression with a multi-scale autoencoder
HCM LE, R Pourreza, Y Yang, ZHU Yinhao, A Said, Y Zhang, TS Cohen
US Patent App. 17/200,694, 2022
2022
Progressive data compression using artificial neural networks
Y Lu, Y Yang, ZHU Yinhao, A Said, TS Cohen
US Patent App. 17/648,808, 2022
2022
Learned B-frame compression
R Pourreza, Y Yang, A Said, ZHU Yinhao, TS Cohen
US Patent 11,399,198, 2022
2022
Variable bit rate compression using neural network models
Y Lu, Y Yang, ZHU Yinhao, A Said, R Pourreza, TS Cohen
US Patent App. 17/573,568, 2022
2022
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