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 | 94 | 2019 |
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 | 50 | 2023 |
Hypergraph spectral analysis and processing in 3D point cloud S Zhang, S Cui, Z Ding IEEE Transactions on Image Processing 30, 1193-1206, 2020 | 48 | 2020 |
Hypergraph spectral clustering for point cloud segmentation S Zhang, S Cui, Z Ding IEEE Signal Processing Letters 27, 1655-1659, 2020 | 26 | 2020 |
Hypergraph-based image processing S Zhang, S Cui, Z Ding 2020 IEEE International Conference on Image Processing (ICIP), 216-220, 2020 | 17 | 2020 |
Multilayer graph spectral analysis for hyperspectral images S Zhang, Q Deng, Z Ding EURASIP Journal on Advances in Signal Processing 2022 (1), 92, 2022 | 16* | 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 | 14 | 2022 |
PS-FedGAN: An Efficient Federated Learning Framework with Strong Data Privacy A Wijesinghe, S Zhang, Z Ding IEEE Internet of Things Journal, 2024 | 13* | 2024 |
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 | 13* | 2023 |
Diff-GO: Diffusion Goal-Oriented Communications with Ultra-High Spectrum Efficiency A Wijesinghe, S Zhang, S Wanninayaka, W Wang, Z Ding 2024 IEEE International Conference on Communications Workshops (ICC …, 2024 | 8* | 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 23 (8), 9330-9344, 2024 | 8 | 2024 |
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 | 7 | 2018 |
Physics-Inspired Machine Learning for Radiomap Estimation: Integration of Radio Propagation Models and Artificial Intelligence S Zhang, B Chou, F Ouyang, Z Ding IEEE Communications Magazine, 2024 | 5 | 2024 |
Reinforcement learning for robust header compression (ROHC) under model uncertainty S Jing, S Zhang, Z Ding IEEE Transactions on Machine Learning in Communications and Networking, 2024 | 5* | 2024 |
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 |
UFed-GAN: Secure Federated Learning over Wireless Sensor Networks with Unlabeled Data A Wijesinghe, S Zhang, S Qi, Z Ding 2024 IEEE International Conference on Communications Workshops (ICC …, 2024 | 4* | 2024 |
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 IEEE Transactions on Wireless Communications 23 (11), 17777-17792, 2024 | 3 | 2024 |
Image processing via multilayer graph spectra S Zhang, Q Deng, Z Ding arXiv preprint arXiv:2108.13639, 2021 | 3 | 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 |