| Introducing hypergraph signal processing: Theoretical foundation and practical applications S Zhang, Z Ding, S Cui IEEE Internet of Things Journal 7 (1), 639-660, 2019 | 69 | 2019 |
| Hypergraph spectral analysis and processing in 3D point cloud S Zhang, S Cui, Z Ding IEEE Transactions on Image Processing 30, 1193-1206, 2020 | 33 | 2020 |
| Hypergraph spectral clustering for point cloud segmentation S Zhang, S Cui, Z Ding IEEE Signal Processing Letters 27, 1655-1659, 2020 | 20 | 2020 |
| Hypergraph-based image processing S Zhang, S Cui, Z Ding 2020 IEEE International Conference on Image Processing (ICIP), 216-220, 2020 | 13 | 2020 |
| RME-GAN: A Learning Framework for Radio Map Estimation based on Conditional Generative Adversarial Network S Zhang, A Wijesinghe, Z Ding IEEE Internet of Things Journal 10 (20), 18016 - 18027, 2023 | 11 | 2023 |
| Multilayer graph spectral analysis for hyperspectral images S Zhang, Q Deng, Z Ding EURASIP Journal on Advances in Signal Processing 2022 (1), 92, 2022 | 11* | 2022 |
| An efficient hypergraph approach to robust point cloud resampling Q Deng, S Zhang, Z Ding IEEE Transactions on Image Processing 31, 1924-1937, 2022 | 11 | 2022 |
| Signal processing over multilayer graphs: Theoretical foundations and practical applications S Zhang, Q Deng, Z Ding IEEE Internet of Things Journal 11 (2), 2453 - 2471, 2023 | 10* | 2023 |
| Ps-fedgan: An efficient federated learning framework based on partially shared generative adversarial networks for data privacy A Wijesinghe, S Zhang, Z Ding arXiv preprint arXiv:2305.11437, 2023 | 6 | 2023 |
| Tensor-based spectral analysis of cascading failures over multilayer complex systems S Zhang, H Zhang, H Li, S Cui 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 6 | 2018 |
| Exemplar-based radio map reconstruction of missing areas using propagation priority S Zhang, T Yu, J Tivald, B Choi, F Ouyang, Z Ding GLOBECOM 2022-2022 IEEE Global Communications Conference, 1217-1222, 2022 | 5 | 2022 |
| Point cloud resampling via hypergraph signal processing Q Deng, S Zhang, Z Ding IEEE Signal Processing Letters 28, 2117-2121, 2021 | 5 | 2021 |
| Point cloud segmentation based on hypergraph spectral clustering S Zhang, S Cui, Z Ding 2020 Information Theory and Applications Workshop (ITA), 2020 | 3 | 2020 |
| UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data A Wijesinghe, S Zhang, S Qi, Z Ding 2024 IEEE International Conference on Communications Workshops, 2024 | 2 | 2024 |
| Image processing via multilayer graph spectra S Zhang, Q Deng, Z Ding arXiv preprint arXiv:2108.13639, 2021 | 2 | 2021 |
| Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency A Wijesinghe, S Zhang, S Wanninayaka, W Wang, Z Ding 2024 IEEE International Conference on Communications Workshops, 2024 | 1 | 2024 |
| Radiomap Inpainting for Restricted Areas based on Propagation Priority and Depth Map S Zhang, T Yu, B Choi, F Ouyang, Z Ding IEEE Transactions on Wireless Communications, 2024 | 1 | 2024 |
| Reinforcement learning for robust header compression under model uncertainty S Jing, S Zhang, Z Ding arXiv preprint arXiv:2309.13291, 2023 | 1 | 2023 |
| From spectrum wavelet to vertex propagation: Graph convolutional networks based on Taylor approximation S Zhang, H Zhang, S Cui, Z Ding arXiv preprint arXiv:2007.00730, 2020 | 1 | 2020 |
| RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks X Li, S Zhang, H Li, X Li, L Xu, H Xu, H Mei, G Zhu, N Qi, M Xiao arXiv preprint arXiv:2403.16397, 2024 | | 2024 |
Zhi DingDistinguished Professor of Electrical and Computer Engineering, University of California DavisE-mail megerősítve itt: ucdavis.edu
