Publications

Preprints
Journal Papers
Conference Papers

Preprints

Generalization of Graph Neural Networks is Robust to Model Mismatch
Zhiyang Wang, Juan Cervino, Alejandro Ribeiro
arXiv, 2024
[link]

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

Journal Papers

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 Geometric Graph Neural Networks
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]