Publications

Preprints
Journal Papers
Conference Papers

Preprints

A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
Zhiyang Wang†, Juan Cervino†, Alejandro Ribeiro
arXiv, 2024
[link]

Journal Papers

Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
accepted at IEEE Transactions on Signal Processing, 2025

Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
IEEE Transactions on Signal Processing, 2024
[pdf][link]

Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
IEEE Transactions on Signal Processing, 2024
[pdf][link]

Stability to Deformations of Manifold Filters and Manifold Neural Networks
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
IEEE Transactions on Signal Processing, 2024
[pdf][link]

Stability of Aggregation Graph Neural Networks
Alejandro Parada-Mayorga, Zhiyang Wang, Fernando Gama, Alejandro Ribeiro
IEEE Transactions on Signal and Information Processing over Networks, 2023
[pdf][link]

Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs
Alejandro Parada-Mayorga, Zhiyang Wang, Alejandro Ribeiro
IEEE Transactions on Signal Processing, 2023
[pdf][link]

Learning Decentralized Wireless Resource Allocations with Graph Neural Networks
Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
IEEE Transactions on Signal Processing, 2022
[pdf][link]

Regional Multi-Armed Bandits with Partial Informativeness
Zhiyang Wang, Ruida Zhou, Cong Shen
IEEE Transactions on Signal Processing, 2018
[link]

Small Cell Transmit Power Assignment Based on Correlated Bandit Learning
Zhiyang Wang, Cong Shen
IEEE Journal on Selected Areas in Communications, 2017
[pdf][link]

Conference Papers

Generalization of Graph Neural Networks is Robust to Model Mismatch
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
Accepted at the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)
[link]

Generalization of Graph Neural Networks: Over Geometric Graphs Sampled from Manifolds
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
Accepted at Asilomar Conference on Signals, Systems, and Computers, 2024
[pdf][link]

Convergence of Graph Neural Networks on Relatively Sparse Graphs
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Asilomar Conference on Signals, Systems, and Computers, 2023
[pdf][link]

Convolutional Filtering on Sampled Manifolds
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
[pdf][link]

Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back
Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
[pdf][link]

Convolutional Neural Networks on Manifolds: From Graphs and Back
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Conference on Neural Information Processing Systems (NeurIPS), Workshop: New Frontiers in Graph Learning, 2022
[link]

Convolutional Neural Networks on Manifolds: From Graphs and Back
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
Asilomar Conference on Signals, Systems, and Computers, 2022
[pdf][link]

Stability of Neural Networks on Manifolds to Relative Perturbations
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
[pdf][link]

Stable and Transferable Wireless Resource Allocation Policies via Manifold Neural Networks
Zhiyang Wang, Luana Ruiz, Mark Eisen, Alejandro Ribeiro
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
[pdf][link]

Stability of Neural Networks on Riemannian Manifolds
Zhiyang Wang, Luana Ruiz, Alejandro Ribeiro
European Signal Processing Conference (EUSIPCO), 2021
Best Student Paper Award
[pdf][link]

Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks
Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
[pdf][link]

Graph and Graphon Neural Network Stability
Luana Ruiz, Zhiyang Wang, Alejandro Ribeiro
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
[pdf][link]

Decentralized Wireless Resource Allocation with Graph Neural Networks
Zhiyang Wang, Mark Eisen, Alejandro Ribeiro
Asilomar Conference on Signals, Systems, and Computers, 2020
[link]

Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Cong Shen, Zhiyang Wang, Sofia S Villar, Mihaela van der Schaar
International Conference on Machine Learning (ICML), 2020
[pdf][link]

Opportunistic Spectrum Access via Good Arm Identification
Zhiyang Wang, Ziyu Ying, Cong Shen
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018
[link]

Small Cell Power Assignment with Unimodal Continuum-armed Bandits
Zhiyang Wang, Cong Shen
IEEE International Conference on Communications (ICC), Workshop: 5G-UDN, 2018
[link]

Regional Multi-Armed Bandits
Zhiyang Wang, Ruida Zhou, Cong Shen
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
[pdf][link]

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