A Dredge Traffic Algorithm for Maintaining Network Stability. - Yanan Zhao 003; Fusheng Dai; Jun Shi 003 (CSPS (3), 2018)

Filter Design for Constrained Signal Reconstruction in Linear Canonical Transform Domain. - Jun Shi 003; Xiaoping Liu 005; Yanan Zhao 003; Shuo Shi; Xuejun Sha; Qinyu Zhang 001 (IEEE Trans. Signal Process., 2018)

Deep Scattering Network With Fractional Wavelet Transform. - Jun Shi 003; Yanan Zhao 003; Wei Xiang 001; Vishal Monga; Xiaoping Liu 005; Ran Tao 003 (IEEE Trans. Signal Process., 2021)

A Convergent Neural Network for Non-Blind Image Deblurring. - Yanan Zhao 003; Yuelong Li; Haichuan Zhang 001; Vishal Monga; Yonina C. Eldar (ICIP, 2023)

SSN: Stockwell Scattering Network for SAR Image Change Detection. - Gong Chen 003; Yanan Zhao 003; Yi Wang 068; Kim-Hui Yap (IEEE Geosci. Remote. Sens. Lett., 2023)

Synchrosqueezed Fractional Wavelet Transform: A New High-Resolution Time-Frequency Representation. - Jun Shi 003; Gong Chen 003; Yanan Zhao 003; Ran Tao 003 (IEEE Trans. Signal Process., 2023)

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. - Qiyu Kang; Kai Zhao 010; Yang Song 012; Yihang Xie; Yanan Zhao 003; Sijie Wang; Rui She 001; Wee Peng Tay (AAAI, 2024)

Distributed-Order Fractional Graph Operating Network. - Kai Zhao 010; Xuhao Li; Qiyu Kang; Feng Ji; Qinxu Ding; Yanan Zhao 003; Wenfei Liang 001; Wee Peng Tay (NeurIPS, 2024)

FedSheafHN: Personalized Federated Learning on Graph-structured Data. - Wenfei Liang 001; Yanan Zhao 003; Rui She 001; Yiming Li; Wee Peng Tay (CoRR, 2024)

Deep, Convergent, Unrolled Half-Quadratic Splitting for Image Deconvolution. - Yanan Zhao 003; Yuelong Li; Haichuan Zhang 001; Vishal Monga; Yonina C. Eldar (IEEE Trans. Computational Imaging, 2024)

Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation. - Qiyu Kang; Xuhao Li; Kai Zhao 010; Wenjun Cui; Yanan Zhao 003; Weihua Deng; Wee Peng Tay (AAAI, 2025)

Generalized Graph Signal Reconstruction via the Uncertainty Principle. - Yanan Zhao 003; Xingchao Jian; Feng Ji; Wee Peng Tay; Antonio Ortega (ICASSP, 2025)

Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features. - Feng Ji; Yanan Zhao 003; Kai Zhao 010; Hanyang Meng; Jielong Yang; Wee Peng Tay (ICLR, 2025)

Joint Spatial-Frequency Scattering Network for Unsupervised SAR Image Change Detection. - Gong Chen 003; Yanan Zhao 003; Koen Mouthaan (IEEE Geosci. Remote. Sens. Lett., 2025)

Graph Distributional Signals for Regularization in Graph Neural Networks. - Feng Ji; Yanan Zhao 003; See Hian Lee; Kai Zhao 010; Wee Peng Tay; Jielong Yang (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks. - Yanan Zhao 003; Feng Ji; Kai Zhao 010; Xuhao Li; Qiyu Kang; Wenfei Liang 001; Yahya Alkhatib; Jianxin Wang 001; Wee Peng Tay (CoRR, 2025)

Personalized Subgraph Federated Learning with Sheaf Collaboration. - Wenfei Liang 001; Yanan Zhao 003; Rui She 001; Yiming Li; Wee Peng Tay (CoRR, 2025)

Less is More: Towards Simple Graph Contrastive Learning. - Yanan Zhao 003; Feng Ji; Jingyang Dai; Jiaze Ma; Wee Peng Tay (CoRR, 2025)