Xu Zhang

According to our database, Xu Zhang authored at least 26 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fast Networked Data Selection via Distributed Smoothed Quantile Estimation.

Xu Zhang, Marcos M. Vasconcelos

IEEE Trans. Autom. Control., July, 2025

Fast and Provable Hankel Tensor Completion for Multi-measurement Spectral Compressed Sensing.

Jinsheng Li, Xu Zhang, Shuang Wu, Wei Cui

CoRR, July, 2025

Robust Remote Estimation Over Shared Networks in the Presence of Denial-of-Service Attacks.

Xu Zhang, Marcos M. Vasconcelos

IEEE Trans. Autom. Control., April, 2025

2024

Sparse Personalized Federated Learning.

Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Simpler Gradient Methods for Blind Super-Resolution With Lower Iteration Complexity.

Jinsheng Li, Wei Cui, Xu Zhang

IEEE Trans. Signal Process., 2024

Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization.

Jinsheng Li, Wei Cui, Xu Zhang

IEEE Trans. Signal Process., 2024

Multi-agent Continuous Control with Generative Flow Networks.

Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu

Neural Networks, 2024

Meta Generative Flow Networks with personalization for task-specific adaptation.

Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li

Inf. Sci., 2024

2023

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering.

Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li

CoRR, 2023

Robust one-shot estimation over shared networks in the presence of denial-of-service attacks.

Xu Zhang, Marcos M. Vasconcelos

CoRR, 2023

Top-k data selection via distributed sample quantile inference.

Xu Zhang, Marcos M. Vasconcelos

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Distributed Remote Estimation Over the Collision Channel With and Without Local Communication.

Xu Zhang, Marcos M. Vasconcelos, Wei Cui, Urbashi Mitra

IEEE Trans. Control. Netw. Syst., 2022

Personalized Federated Learning via Variational Bayesian Inference.

Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao

Proceedings of the International Conference on Machine Learning, 2022

Robust remote estimation over the collision channel in the presence of an intelligent jammer.

Xu Zhang, Marcos M. Vasconcelos

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information.

Xu Zhang, Yulong Liu, Wei Cui

IEEE Trans. Signal Process., 2021

Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions.

Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng

CoRR, 2021

2020

Matrix Completion with Prior Subspace Information via Maximizing Correlation.

Xu Zhang, Wei Cui, Yulong Liu

CoRR, 2020

An Optimal Symmetric Threshold Strategy for Remote Estimation Over The Collision Channel.

Xu Zhang, Marcos M. Vasconcelos, Wei Cui, Urbashi Mitra

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Covariance Matrix Estimation From Linearly-Correlated Gaussian Samples.

Wei Cui, Xu Zhang, Yulong Liu

IEEE Trans. Signal Process., 2019

Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging.

Yinchuan Li, Xiaodong Wang, Zegang Ding, Xu Zhang, Yin Xiang, Xiaopeng Yang

IEEE Trans. Geosci. Remote. Sens., 2019

Covariance Matrix Estimation from Correlated Sub-Gaussian Samples.

Xu Zhang, Wei Cui, Yulong Liu

CoRR, 2019

Compressive Multidimensional Harmonic Retrieval with Prior Knowledge.

Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang

CoRR, 2019

2018

Recovery of Structured Signals With Prior Information via Maximizing Correlation.

Xu Zhang, Wei Cui, Yulong Liu

IEEE Trans. Signal Process., 2018

Covariance Matrix Estimation from Correlated Samples.

Wei Cui, Xu Zhang, Yulong Liu

CoRR, 2018

2017

Compressed sensing with prior information via maximizing correlation.

Xu Zhang, Wei Cui, Yulong Liu

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Unsupervised spectral feature selection with l₁-norm graph.

Xiaodong Wang, Xu Zhang, Zhiqiang Zeng, Qun Wu, Jian Zhang

Neurocomputing, 2016