Publications

Submitted:

Zhiyang Wang, Luana Ruiz and Alejandro Ribeiro, “Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs,” submitted to IEEE Transactions on Signal Processing. [link]

Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo and Alejandro Ribeiro, “Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back”, submitted to IEEE Transactions on Signal Processing. [link]

Journal Papers:

Zhiyang Wang, Luana Ruiz and Alejandro Ribeiro, “Stability to Deformations of Manifold Filters and Manifold Neural Networks”, accepted at IEEE Transactions on Signal Processing. [link]

Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama and Alejandro Ribeiro, “Stability of Aggregation Graph Neural Networks”, accepted at IEEE Transactions on Signal and Information Processing over Networks. [link]

Alejandro Parada-Mayorga, Zhiyang Wang and Alejandro Ribeiro, “Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs”, IEEE Transactions on Signal Processing, Volume: 71, Issue: 21, Page(s): 3577 - 3591, 2023. [link]

Zhiyang Wang, Mark Eisen and Alejandro Ribeiro, “Learning Decentralized Wireless Resource Allocations with Graph Neural Networks”, IEEE Transactions on Signal Processing 70 (2022): 1850-1863. [link]

Zhiyang Wang, Ruida Zhou and Cong Shen, “Regional Multi-Armed Bandits with Partial Informativeness”, IEEE Transactions on Signal Processing, Volume: 66, Issue: 21, Page(s): 5705-5717, Nov. 2018. [link]

Zhiyang Wang and Cong Shen, “Small Cell Transmit Power Assignment Based on Correlated Bandit Learning”, IEEE Journal on Selected Areas in Communications, Vol. 35, No. 5, Page(s): 1030-1045, May 2017. [link]

Conference Papers:

Zhiyang Wang, Luana Ruiz and Alejandro Ribeiro, “Convergence of Graph Neural Networks on Relatively Sparse Graphs”, submitted to Asilomar 2023. [link]

Zhiyang Wang, Luana Ruiz and Alejandro Ribeiro, “Convolutional Filtering on Sampled Manifolds”, In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. [link]

Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo and Alejandro Ribeiro, “Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back”, In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. [link]

Zhiyang Wang, Luana Ruiz and Alejandro Ribeiro, “Convolutional Neural Networks on Manifolds: From Graphs and Back”, In 2022 56th Asilomar Conference on Signals, Systems, and Computers, pp. 356-360. IEEE, 2022. [link]

Zhiyang Wang, Luana Ruiz and Alejandro Ribeiro, “Stability of Neural Networks on Manifolds to Relative Perturbations”, In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5473-5477). IEEE. [link]

Zhiyang Wang, Luana Ruiz, Mark Eisen and Alejandro Ribeiro, “Stable and Transferable Wireless Resource Allocation Policies via Manifold Neural Networks”, In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 8912-8916). IEEE. [link]

Zhiyang Wang, Luana Ruiz and Alejandro Ribeiro, “Stability of Neural Networks on Riemannian Manifolds”, In 2021 29th European Signal Processing Conference (EUSIPCO) (pp. 1845-1849). IEEE. (Best student paper award) [link]

Zhiyang Wang, Mark Eisen and Alejandro Ribeiro, “Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks”, In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8143-8147. IEEE, 2021. [link]

Luana Ruiz, Zhiyang Wang and Alejandro Ribeiro, “Graph and Graphon Neural Network Stability”, In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2021. [link]

Zhiyang Wang, Mark Eisen and Alejandro Ribeiro, “Decentralized Wireless Resource Allocation with Graph Neural Networks”, In 2020 54th Asilomar Conference on Signals, Systems, and Computers, pp. 299-303. IEEE, 2020. [link]

Cong Shen, Zhiyang Wang, Sofia S Villar and Mihaela van der Schaar, “Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints”, In International Conference on Machine Learning, pp. 8730-8740. PMLR, 2020.

Zhiyang Wang, Ziyu Ying, and Cong Shen, “Opportunistic Spectrum Access via Good Arm Identification,” IEEE GlobalSIP 2018, Anaheim, California, USA, Nov. 2018.

Zhiyang Wang and Cong Shen, “Small Cell Power Assignment with Unimodal Continuum-armed Bandits,” IEEE International Conference on Communications Workshop on 5G-UDN, 2018.

Zhiyang Wang, Ruida Zhou, and Cong Shen,” Regional Multi-Armed Bandits,” Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 84:510-518, Playa Blanca, Lanzarote, Canary Islands, April 9-11, 2018.

Zhiyang Wang, Cong Shen, Xiliang Luo, Mihaela van der Schaar, “Learn to Adapt: Self-Optimizing Small Cell Transmit Power with Correlated Bandit Learning,”IEEE International Conference on Communications (ICC), 2017.