Publications

Journal

• Y. Zhao, Y. Li, H. Zhang, V. Monga, and Y. Eldar, Deep, convergent, unrolled half-quadratic splitting for image deconvolution, IEEE Transactions on Computational Imaging, vol. 10, pp. 574-588, 2024. [pdf]
• F. Ji¹, Y. Zhao¹(equal contribution), S. H. Lee, K. Zhao, W. P. Tay, and J. Yang, Graph distributional signals for regularization in graph neural networks, IEEE Transactions on Signal and Information Processing over Networks, Major Revision.
• G. Chen, Y. Zhao, and K. Mouthaan, Joint spatial-frequency scattering network for unsupervised SAR image change detection,IEEE Geoscience and Remote Sensing Letters, 2025.
• G. Chen¹, Y. Zhao¹(equal contribution), Y. Wang, and K. Yap, SSN: stockwell scattering network for SAR image change detection, IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023. [pdf]
• J. Shi, G. Chen, Y. Zhao, and R. Tao, Synchrosqueezed fractional wavelet transform: a new high-resolution time-frequency representation, IEEE Transactions on Signal Processing, vol. 71, pp. 264-278, 2023. [pdf]
• J. Shi, Y. Zhao (corresponding author), W. Xiang, V. Monga, X. Liu, and R. Tao, Deep scattering network with fractional wavelet transform, IEEE Transactions on Signal Processing, vol. 69, pp. 4740-4757, 2021. [pdf]
• J. Shi, X. Liu, Y. Zhao, S. Shi, X. Sha, and Q. Zhang, Filter design for constrained signal reconstruction in linear canonical transform domain, IEEE Transactions on Signal Processing, vol. 66, no. 24, pp. 6534-6548, 2018. [pdf]

Conference

• Y. Zhao, X. Jian, F. Ji, W. P. Tay, and A. Ortega, Generalized graph signal reconstruction via the uncertainty principle, in Proc. IEEE International Conference Acoustics, Speech, and Signal Processing, Hyderabad, India, Apr. 2025
• F. Ji¹, Y. Zhao¹(equal contribution), K. Zhao, H. Meng, J. Yang, and W. P. Tay, Rethinking graph neural networks from a geometric perspective of node features, in Proc. International Conference on Learning Representations (ICLR), Singapore, Apr. 2025.
• K. Zhao, Q. Kang, F. Ji, X. Li, Q. Ding, Y. Zhao, W. Liang, and W. P. Tay, Distributed-order fractional graph operating network, in Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 2024, spotlight.
• Q. Kang, X. Li, K. Zhao, W. Cui, Y. Zhao, W. Deng, and W. P. Tay, Efficient training of neural fractional-order differential equation via adjoint backpropagation, in Proc. AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, USA, Feb. 2025.
• Q. Kang, K. Zhao, Y. Song, Y. Xie, Y. Zhao, S. Wang, R. She, and W. P. Tay, Coupling graph neural networks with fractional order continuous dynamics: A robustness study, in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024
• Q. Kang¹, Y. Zhao¹, K. Zhao¹(equal contribution), X. Li, Q. Ding, W. P. Tay, and S. Wang, Advancing graph neural networks through joint time-space dynamics, NeuPIS workshop, 2023. [pdf]
• Q. Kang, K. Zhao, Y. Song, Y. Xie, Y. Zhao, S. Wang, R. She, and W. P. Tay, Coupling graph neural networks with non-integer order dynamics: A robustness study, NeuPIS workshop, 2023. [pdf]
• Y. Zhao, Y. Li, H. Zhang, V. Monga, and Y. Eldar, A convergent neural network for non-blind image deblurring, IEEE International Conference on Image Processing (ICIP), pp. 1505-1509, 2023. [pdf]
• Y. Zhao, F. Dai, and J. Shi, A dredge traffic algorithm for maintaining network stability, The 7th International Conference on Communications, Signal Processing, and Systems (CSPS), July, 2018, Dalian, China. [pdf]

Patent

• Q. Luo, X. Yan, Y. Zhao, et al, An uncertainty analysis method based on least-squares positioning (in Chinese). China Patent. Authorization No. CN107219499A.
• X. Yan, Q. Luo, Y. Zhao, et al, A outlier-elimination method for range measurement based on nanoLOC (in Chinese). China Patent. Authorization No. CN106125070A.