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Yanan Zhao
Yanan Zhao
NTU - NANYANG TECHNOLOGICAL UNIVERSITY
Verified email at e.ntu.edu.sg
Title
Cited by
Cited by
Year
Filter design for constrained signal reconstruction in linear canonical transform domain
J Shi, X Liu, Y Zhao, S Shi, X Sha, Q Zhang
IEEE Transactions on Signal Processing 66 (24), 6534-6548, 2018
342018
Deep scattering network with fractional wavelet transform
J Shi*, Y Zhao*, W Xiang, V Monga, X Liu, R Tao
IEEE Transactions on Signal Processing 69, 4740-4757, 2021
302021
Synchrosqueezed fractional wavelet transform: A new high-resolution time-frequency representation
J Shi, G Chen, Y Zhao, R Tao
IEEE Transactions on Signal Processing 71, 264-278, 2023
182023
Ssn: stockwell scattering network for sar image change detection
G Chen*, Y Zhao*, Y Wang, KH Yap
IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023
62023
A convergent neural network for non-blind image deblurring
Y Zhao, Y Li, H Zhang, V Monga, YC Eldar
2023 IEEE International Conference on Image Processing (ICIP), 1505-1509, 2023
42023
Advancing Graph Neural Networks Through Joint Time-Space Dynamics
Q Kang*, Y Zhao*, K Zhao*, X Li, Q Ding, WP Tay, S Wang
The Symbiosis of Deep Learning and Differential Equations III, 2023
12023
A dredge traffic algorithm for maintaining network stability
Y Zhao, F Dai, J Shi
Communications, Signal Processing, and Systems: Proceedings of the 2018 CSPS …, 2020
12020
Deep, convergent, unrolled half-quadratic splitting for image deconvolution
Y Zhao, Y Li, H Zhang, V Monga, YC Eldar
arXiv preprint arXiv:2402.12872, 2024
2024
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
Q Kang, K Zhao, Y Song, Y Xie, Y Zhao, S Wang, R She, WP Tay
arXiv preprint arXiv:2401.04331, 2024
2024
Deep, convergent, unrolled half-quadratic splitting for image deconvolution
Y Zhao, Y Li, H Zhang, V Monga, YC Eldar
IEEE Transactions on Computational Imaging 10, 574 - 588, 2024
2024
Coupling Graph Neural Networks with Non-Integer Order Dynamics: A Robustness Study
Q Kang, K Zhao, Y Song, Y Xie, Y Zhao, S Wang, R She, WP Tay
NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023
2023
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