Publications
(Corresponding Author *)
You may also find my publication at Google Scholar or Researchgate.
Manuscript:
Journal Under Review:
X.Li, S. Zhang, H. Li, et.al. "RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks", (submitted to IEEE Transactions on Wireless Communications).
Q. Deng, Y. Zhang, M. Li, S. Zhang* and Z. Ding, "Efficient Eigen-Decomposition for Low-Rank Symmetric Matrices in Graph Signal Processing: An Incremental Approach", (submitted to IEEE Transactions on Signal Processing) [Article Link].
Q. Deng, S. Zhang, and Z. Ding, "Body Motion Segmentation via Multilayer Graph Processing for Wearable Sensor Signals", (submitted to IEEE Open Journal of Signal Processing).
S. Jing, S. Zhang, and Z. Ding, "Reinforcement Learning for Robust Header Compression under Model Uncertainty ", arXiv:2309.13291, 2023, (submitted to IEEE Transactions on Machine Learning in Communications and Networking). [Article Link]
Conference Under Review:
Y. Zhou, A. Wijesinghe, S. Zhang* and Z. Ding,"TiRE-GAN: Task-Incentivized Generative Learning Models for Radiomap Estimation with Radio Propagation Model", (submitted to 2024 IEEE GLOBECOM). [Article Link]
A. Wijesinghe, S. Zhang, and Z. Ding, "PFL-GAN: when client heterogeneity meets generative models in personalized federated learning", arXiv:2308.12454, 2023, (submitted to 2024 European Conference on Artificial Intelligence). [Article Link]
Preprint:
S. Zhang, Q. Deng, and Z. Ding, "Image processing via multilayer graph spectra," arXiv preprint arXiv:2108.13639, 2022. [Article Link]
S. Zhang, H. Zhang, S. Cui, and Z. Ding, "From spectrum wavelet to vertex propagation: graph convolutional networks based on Taylor approximation," arXiv preprint arXiv:2007.00730, 2020. [Article Link]
Journal:
A. Wijesinghe, S. Zhang, and Z. Ding, "PS-FedGAN: an efficient federated learning framework with strong data privacy", accepted to IEEE Internet of Things Journal, 2024. [IF: 11.1; arXiv Version]
S. Zhang, B. Choi, F. Ouyang and Z. Ding, "Physics-Inspired Machine Learning for Radiomap Reconstruction: Integration of Radio Propagation Models and Artificial Intelligence", accepted to IEEE Communications Magazine. [IF:11.2;Dataset]
S. Zhang, T. Yu, B. Choi, F. Ouyang, and Z. Ding, “Radio Map Inpainting of Missing Regions using Propagation Priority and Depth Map”, arXiv:2305.15526, 2023, in IEEE Transactions on Wireless Communications. [IF:10.4; Early Access]
S. Zhang, Q. Deng, and Z. Ding, "Signal processing over multilayer graphs: theoretical foundations and practical applications," in IEEE Internet of Things Journal, vol. 11, no. 2, pp. 2453-2471, 15 Jan.15, 2024. [IF: 11.1; Article Link]
S. Zhang, A. Wijesinghe, and Z. Ding, “RME-GAN: A Learning Framework for Radio Map Estimation based on Conditional Generative Adversarial Network,” in IEEE Internet of Things Journal, vol. 10, no. 20, pp. 18016-18027, 15 Oct.15, 2023. [IF: 11.1; Article Link; Code]
S. Zhang, Q. Deng, and, Z. Ding, "Multilayer graph spectral analysis for hyperspectral images," in EURASIP J. Adv. Signal Process, vol. 1, no. 92, pp. 1 - 25, Oct. 2022. [Article Link]
Q. Deng, S. Zhang, and Z. Ding, "An efficient hypergraph approach to robust point cloud resampling," in IEEE Transactions on Image Processing, vol. 31, pp. 1924 - 1937, Feb. 2022. [IF: 10.6; Article Link; Codes]
Q. Deng, S. Zhang, and Z. Ding, "Point cloud resampling via hypergraph signal processing," in IEEE Signal Processing Letters, vol. 28, pp. 2117 - 2121, Oct. 2021. [IF: 3.9; Article Link]
S. Zhang, S. Cui, and Z. Ding, "Hypergraph spectrum analysis and processing in 3d point clouds," in IEEE Transactions on Image Processing, vol. 30, pp. 1193 - 1206, Dec. 2021. [IF: 10.6; Article Link]
S. Zhang, S. Cui, and Z. Ding, "Hypergraph spectral clustering for point cloud segmentation," IEEE Signal Processing Letters, vol. 27, pp.1655 - 1659, Sept. 2020. [IF: 3.9; Article Link]
S. Zhang, Z. Ding, and S. Cui, "Introducing hypergraph signal processing: theoretical foundation and practical applications", in IEEE Internet of Things Journal, vol. 7, pp. 639 - 660, Jan. 2020. [IF: 11.1; Article Link]
Conference:
S. Jing, A. Yu, S. Zhang, and S. Zhang*, "Fedsc: provable federated self-supervised learning with spectral contrastive objective over non-i.i.d. data", accepted to 2024 International Conference on Machine Learning (ICML). [Article Link]
A. Wijesinghe, S. Zhang, S. Wanninayaka, W. Wang, and Z. Ding, "Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum Efficiency", accepted to IEEE International Conference on Communications Workshop 2024. [Article Link]
A. Wijesinghe, S. Zhang, S. Qi, and Z. Ding, "UFed-GAN: A Secured Federated Learning with Constrained Computation and Unlabeled Data," accepted to IEEE International Conference on Communications Workshop 2024. [Article Link]
X. Liu, L. Xu, X. Wu, S. Zhang, and L. Wang, "Split-FL: An Efficient Online Federated Learning Framework with Constrained Computation and Streaming Data", accepted to IEEE International Conference on Communications Workshop 2024.
S. Zhang, T. Yu, J. Tivald, B. Choi, F. Ouyang, and Z. Ding, “Exemplar-based radio map reconstruction of missing areas using propagation priority”, GLOBECOM 2022 - 2022 IEEE Global Communications Conference, Rio de Janeiro, Brazil, 2022, pp. 1217-1222. [Article Link]
S. Zhang, S. Cui, and Z. Ding, "Hypergraph-based image processing", 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, Oct. 2020, pp. 216-220. [Best Paper Finalist; Article Link].
S. Zhang, S. Cui and Z. Ding, "Point cloud segmentation based on hypergraph spectral clustering," 2020 Information Theory and Applications Workshop (ITA), San Diego, CA, USA, 2020, pp. 1-1. [Article Link]
S. Zhang, H. Zhang, H. Li, and S. Cui, "Tensor-based spectral analysis of cascading failures over multilayer complex systems," 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, Oct. 2018, pp. 997-1004. [Article Link]
Office: Madison Hall 248H
Tel: (337) 482-1300
Email: songyang.zhang@louisiana.edu
Department of Electrical & Computer Engineering
Madison Hall 146b
131 Rex St., Lafayette, LA 70504