| Personalized federated learning via variational bayesian inference X Zhang, Y Li, W Li, K Guo, Y Shao International Conference on Machine Learning, 26293-26310, 2022 | 113 | 2022 |
| Spectrally sparse signal recovery via Hankel matrix completion with prior information X Zhang, Y Liu, W Cui IEEE Transactions on Signal Processing 69, 2174-2187, 2021 | 19 | 2021 |
| Sparse Personalized Federated Learning X Liu, Y Li, Q Wang, X Zhang, Y Shao, Y Geng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 17* | 2023 |
| Distributed remote estimation over the collision channel with and without local communication X Zhang, MM Vasconcelos, W Cui, U Mitra IEEE Transactions on Control of Network Systems 9 (1), 282-294, 2021 | 16 | 2021 |
| Recovery of structured signals with prior information via maximizing correlation X Zhang, W Cui, Y Liu IEEE Transactions on Signal Processing 66 (12), 3296-3310, 2018 | 15 | 2018 |
| Covariance Matrix Estimation from Linearly-Correlated Gaussian Samples W Cui, X Zhang, Y Liu IEEE Transactions on Signal Processing 67 (8), 2187 - 2195, 2019 | 10 | 2019 |
| Compressed Sensing with Prior Information via Maximizing Correlation X Zhang, W Cui, Y Liu 2017 IEEE International Symposium on Information Theory (ISIT), 221-225, 2017 | 9 | 2017 |
| Spectrum recovery for clutter removal in penetrating radar imaging Y Li, X Wang, Z Ding, X Zhang, Y Xiang, X Yang IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6650-6665, 2019 | 8 | 2019 |
| Robust Remote Estimation over Shared Networks in the Presence of Denial-of-Service Attacks X Zhang, MM Vasconcelos IEEE Transactions on Automatic Control, 2024 | 6* | 2024 |
| Robust remote estimation over the collision channel in the presence of an intelligent jammer X Zhang, MM Vasconcelos IEEE Conference on Decision and Control(CDC), 2022., 2022 | 6 | 2022 |
| Atomic norm method for DOA estimation in random sampling condition T Qian, J Tian, X Zhang, W Cui 2016 CIE International Conference on Radar (RADAR), 1-4, 2016 | 5 | 2016 |
| Multi-agent continuous control with generative flow networks S Luo, Y Li, S Liu, X Zhang, Y Shao, C Wu Neural Networks 174, 106243, 2024 | 3 | 2024 |
| Projected gradient descent for spectral compressed sensing via symmetric hankel factorization J Li, W Cui, X Zhang IEEE Transactions on Signal Processing, 2024 | 3 | 2024 |
| Federated learning via variational bayesian inference: Personalization, sparsity and clustering X Zhang, W Li, Y Shao, Y Li arXiv preprint arXiv:2303.04345, 2023 | 3 | 2023 |
| Matrix completion with prior subspace information via maximizing correlation X Zhang, W Cui, Y Liu arXiv preprint arXiv:2001.01152, 2020 | 3 | 2020 |
| An optimal symmetric threshold strategy for remote estimation over the collision channel X Zhang, MM Vasconcelos, W Cui, U Mitra ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| Simpler Gradient Methods for Blind Super-Resolution with Lower Iteration Complexity J Li, W Cui, X Zhang IEEE Transactions on Signal Processing, 2024 | 1 | 2024 |
| Meta Generative Flow Networks with personalization for task-specific adaptation X Ji, X Zhang, W Xi, H Wang, O Gadyatskaya, Y Li Information Sciences 672, 120569, 2024 | 1 | 2024 |
| Top-k data selection via distributed sample quantile inference X Zhang, MM Vasconcelos Learning for Dynamics and Control Conference, 813-824, 2023 | 1 | 2023 |
| Covariance Matrix Estimation from Correlated Sub-Gaussian Samples X Zhang, W Cui, Y Liu arXiv preprint arXiv:1910.07183, 2019 | 1 | 2019 |
Yinchuan LiPrincipal Researcher, Noah's Ark Labcolumbia.edu üzerinde doğrulanmış e-posta adresine sahip
