Zhan Gao
Zitiert von
Zitiert von
Wide and deep graph neural network with distributed online learning
Z Gao, F Gama, A Ribeiro
IEEE Transactions on Signal Processing 70, 3862-3877, 2022
Stochastic graph neural networks
Z Gao, E Isufi, A Ribeiro
IEEE Transactions on Signal Processing 69, 4428-4443, 2021
Training robust graph neural networks with topology adaptive edge dropping
Z Gao, S Bhattacharya, L Zhang, RS Blum, A Ribeiro, BM Sadler
arXiv preprint arXiv:2106.02892, 2021
Stability of graph convolutional neural networks to stochastic perturbations
Z Gao, E Isufi, A Ribeiro
Signal Processing 188, 108216, 2021
Resource allocation via graph neural networks in free space optical fronthaul networks
Z Gao, M Eisen, A Ribeiro
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications
Z Gao, M Eisen, A Ribeiro
IEEE Transactions on Communications 70 (2), 920-934, 2021
Ergodicity of phase fluctuations for free-space optical link in atmospheric turbulence
J Zhang, R Li, Z Gao, A Dang
IEEE Photonics Technology Letters 31 (5), 377-380, 2019
Decentralized channel management in WLANs with graph neural networks
Z Gao, Y Shao, D Gündüz, A Prorok
ICC 2023-IEEE International Conference on Communications, 3072-3077, 2023
Optimal wdm power allocation via deep learning for radio on free space optics systems
Z Gao, M Eisen, A Ribeiro
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
Environment optimization for multi-agent navigation
Z Gao, A Prorok
2023 IEEE International Conference on Robotics and Automation (ICRA), 3440-3446, 2023
Online Control Barrier Functions for Decentralized Multi-Agent Navigation
Z Gao, G Yang, A Prorok
arXiv preprint arXiv:2303.04313, 2023
AirGNNs: Graph Neural Networks over the Air
Z Gao, D Gunduz
arXiv preprint arXiv:2302.08447, 2023
Incremental Greedy BFGS: An Incremental Quasi-Newton Method with Explicit Superlinear Rate
Z Gao, A Koppel, A Ribeiro
Advances in neural information processing systems, 12th OPT Workshop on …, 2020
Learning stochastic graph neural networks with constrained variance
Z Gao, E Isufi
IEEE Transactions on Signal Processing 71, 358-371, 2023
Balancing rates and variance via adaptive batch-size for stochastic optimization problems
Z Gao, A Koppel, A Ribeiro
IEEE Transactions on Signal Processing 70, 3693-3708, 2022
Constrained Environment Optimization for Prioritized Multi-Agent Navigation
Z Gao, A Prorok
IEEE Open Journal of Control Systems, 2023
Learning stable graph neural networks via spectral regularization
Z Gao, E Isufi
2022 56th Asilomar Conference on Signals, Systems, and Computers, 01-05, 2022
Variance-Constrained Learning for Stochastic Graph Neural Networks
Z Gao, E Isufi, A Ribeiro
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Modeling and topology design for free-space optical networks
Y Luo, Z Gao, T Chen, L Fan, A Dang
Optical Engineering 58 (7), 076104, 2019
Beam quality factor and its effect on laser beam through anisotropic turbulence for OWC
Z Gao, Z Li, A Dang
2019 15th International Conference on Telecommunications (ConTEL), 1-7, 2019
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