Unsupervised spectral feature selection with l1-norm graph. - Xiaodong Wang 001; Xu Zhang 011; Zhiqiang Zeng; Qun Wu; Jian Zhang (Neurocomputing, 2016)

Compressed sensing with prior information via maximizing correlation. - Xu Zhang 011; Wei Cui 001; Yulong Liu 002 (ISIT, 2017)

Covariance Matrix Estimation from Correlated Samples. - Wei Cui 001; Xu Zhang 011; Yulong Liu 002 (CoRR, 2018)

Recovery of Structured Signals With Prior Information via Maximizing Correlation. - Xu Zhang 011; Wei Cui 001; Yulong Liu 002 (IEEE Trans. Signal Process., 2018)

Compressive Multidimensional Harmonic Retrieval with Prior Knowledge. - Yinchuan Li; Xu Zhang 011; Zegang Ding; Xiaodong Wang 001 (CoRR, 2019)

Covariance Matrix Estimation from Correlated Sub-Gaussian Samples. - Xu Zhang 011; Wei Cui 001; Yulong Liu 002 (CoRR, 2019)

Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging. - Yinchuan Li; Xiaodong Wang 001; Zegang Ding; Xu Zhang 011; Yin Xiang; Xiaopeng Yang (IEEE Trans. Geosci. Remote. Sens., 2019)

Covariance Matrix Estimation From Linearly-Correlated Gaussian Samples. - Wei Cui 001; Xu Zhang 011; Yulong Liu 002 (IEEE Trans. Signal Process., 2019)

An Optimal Symmetric Threshold Strategy for Remote Estimation Over The Collision Channel. - Xu Zhang 011; Marcos M. Vasconcelos; Wei Cui 001; Urbashi Mitra (ICASSP, 2020)

Matrix Completion with Prior Subspace Information via Maximizing Correlation. - Xu Zhang 011; Wei Cui 001; Yulong Liu 002 (CoRR, 2020)

Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. - Yinchuan Li; Xiaofeng Liu 009; Xu Zhang 011; Yunfeng Shao 001; Qing Wang 015; Yanhui Geng (CoRR, 2021)

Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information. - Xu Zhang 011; Yulong Liu 002; Wei Cui 001 (IEEE Trans. Signal Process., 2021)

Robust remote estimation over the collision channel in the presence of an intelligent jammer. - Xu Zhang 011; Marcos M. Vasconcelos (CDC, 2022)

Personalized Federated Learning via Variational Bayesian Inference. - Xu Zhang 011; Yinchuan Li; Wenpeng Li; Kaiyang Guo; Yunfeng Shao 001 (ICML, 2022)

Distributed Remote Estimation Over the Collision Channel With and Without Local Communication. - Xu Zhang 011; Marcos M. Vasconcelos; Wei Cui 001; Urbashi Mitra (IEEE Trans. Control. Netw. Syst., 2022)

Top-k data selection via distributed sample quantile inference. - Xu Zhang 011; Marcos M. Vasconcelos (L4DC, 2023)

Robust one-shot estimation over shared networks in the presence of denial-of-service attacks. - Xu Zhang 011; Marcos M. Vasconcelos (CoRR, 2023)

Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. - Xu Zhang 011; Wenpeng Li; Yunfeng Shao 001; Yinchuan Li (CoRR, 2023)

Meta Generative Flow Networks with personalization for task-specific adaptation. - Xinyuan Ji; Xu Zhang 011; Wei Xi; Haozhi Wang; Olga Gadyatskaya; Yinchuan Li (Inf. Sci., 2024)

Multi-agent Continuous Control with Generative Flow Networks. - Shuang Luo; Yinchuan Li; Shunyu Liu 001; Xu Zhang 011; Yunfeng Shao 001; Chao Wu 001 (Neural Networks, 2024)

Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization. - Jinsheng Li; Wei Cui 001; Xu Zhang 011 (IEEE Trans. Signal Process., 2024)

Simpler Gradient Methods for Blind Super-Resolution With Lower Iteration Complexity. - Jinsheng Li; Wei Cui 001; Xu Zhang 011 (IEEE Trans. Signal Process., 2024)

Sparse Personalized Federated Learning. - Xiaofeng Liu 009; Yinchuan Li; Qing Wang 015; Xu Zhang 011; Yunfeng Shao 001; Yanhui Geng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Remote Estimation Over Shared Networks in the Presence of Denial-of-Service Attacks. - Xu Zhang 011; Marcos M. Vasconcelos (IEEE Trans. Autom. Control., 2025)

Fast and Provable Hankel Tensor Completion for Multi-measurement Spectral Compressed Sensing. - Jinsheng Li; Xu Zhang 011; Shuang Wu; Wei Cui 001 (CoRR, 2025)

Fast Networked Data Selection via Distributed Smoothed Quantile Estimation. - Xu Zhang 011; Marcos M. Vasconcelos (IEEE Trans. Autom. Control., 2025)