| 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 | 35 | 2022 |
| Stochastic graph neural networks Z Gao, E Isufi, A Ribeiro IEEE Transactions on Signal Processing 69, 4428-4443, 2021 | 28 | 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 | 23 | 2021 |
| Stability of graph convolutional neural networks to stochastic perturbations Z Gao, E Isufi, A Ribeiro Signal Processing 188, 108216, 2021 | 20 | 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 | 14 | 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 | 11 | 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 | 10 | 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 | 9 | 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 | 9 | 2019 |
| Environment optimization for multi-agent navigation Z Gao, A Prorok 2023 IEEE International Conference on Robotics and Automation (ICRA), 3440-3446, 2023 | 7 | 2023 |
| Online Control Barrier Functions for Decentralized Multi-Agent Navigation Z Gao, G Yang, A Prorok arXiv preprint arXiv:2303.04313, 2023 | 6* | 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 | 5 | 2020 |
| AirGNNs: Graph Neural Networks over the Air Z Gao, D Gunduz arXiv preprint arXiv:2302.08447, 2023 | 4 | 2023 |
| Learning stochastic graph neural networks with constrained variance Z Gao, E Isufi IEEE Transactions on Signal Processing 71, 358-371, 2023 | 4 | 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 | 4 | 2022 |
| Constrained Environment Optimization for Prioritized Multi-Agent Navigation Z Gao, A Prorok IEEE Open Journal of Control Systems, 2023 | 3 | 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 | 3 | 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 | 3 | 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 | 3 | 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 | 2 | 2019 |
Alejandro RibeiroUniversity of PennsylvaniaVerified email at seas.upenn.edu
