Xu Zhang - RankMe

39 papers A* 2B 1Misc 1Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching. AAAI Jiacheng Cheng, Xu Zhang, Guanghui Qiu, Yifang Zhang, Yinchuan Li, Kaiyuan Feng
2025	J	`jnl`	Fast Networked Data Selection via Distributed Smoothed Quantile Estimation. IEEE Trans. Autom. Control. Xu Zhang, Marcos M. Vasconcelos
2025	J	`jnl`	Fast and Provable Hankel Tensor Completion for Multi-Measurement Spectral Compressed Sensing. IEEE Trans. Signal Process. Jinsheng Li, Xu Zhang, Shuang Wu, Wei Cui
2025	J	`jnl`	Fast and Provable Hankel Tensor Completion for Multi-measurement Spectral Compressed Sensing. CoRR Jinsheng Li, Xu Zhang, Shuang Wu, Wei Cui
2025	J	`jnl`	Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching. CoRR Jiacheng Cheng, Xu Zhang, Guanghui Qiu, Yifang Zhang, Yinchuan Li, Kaiyuan Feng
2025	J	`jnl`	Robust Remote Estimation Over Shared Networks in the Presence of Denial-of-Service Attacks. IEEE Trans. Autom. Control. Xu Zhang, Marcos M. Vasconcelos
2024	J	`jnl`	Fast networked data selection via distributed smoothed quantile estimation. CoRR Xu Zhang, Marcos M. Vasconcelos
2024	J	`jnl`	Meta Generative Flow Networks with personalization for task-specific adaptation. Inf. Sci. Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li
2024	J	`jnl`	Multi-Agent Continuous Control with Generative Flow Networks. CoRR Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
2024	J	`jnl`	Multi-agent Continuous Control with Generative Flow Networks. Neural Networks Shuang Luo, Yinchuan Li, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu
2024	J	`jnl`	Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization. IEEE Trans. Signal Process. Jinsheng Li, Wei Cui, Xu Zhang
2024	J	`jnl`	Simpler Gradient Methods for Blind Super-Resolution With Lower Iteration Complexity. IEEE Trans. Signal Process. Jinsheng Li, Wei Cui, Xu Zhang
2024	J	`jnl`	Sparse Personalized Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng
2023	J	`jnl`	Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering. CoRR Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li
2023	J	`jnl`	Meta Generative Flow Networks with Personalization for Task-Specific Adaptation. CoRR Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li
2023	J	`jnl`	Robust one-shot estimation over shared networks in the presence of denial-of-service attacks. CoRR Xu Zhang, Marcos M. Vasconcelos
2023	—	`conf`	Top-k data selection via distributed sample quantile inference. L4DC Xu Zhang, Marcos M. Vasconcelos
2022	J	`jnl`	Distributed Remote Estimation Over the Collision Channel With and Without Local Communication. IEEE Trans. Control. Netw. Syst. Xu Zhang, Marcos M. Vasconcelos, Wei Cui, Urbashi Mitra
2022	A*	`conf`	Personalized Federated Learning via Variational Bayesian Inference. ICML Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
2022	J	`jnl`	Personalized Federated Learning via Variational Bayesian Inference. CoRR Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao
2022	—	`conf`	Robust remote estimation over the collision channel in the presence of an intelligent jammer. CDC Xu Zhang, Marcos M. Vasconcelos
2022	J	`jnl`	Robust remote estimation over the collision channel in the presence of an intelligent jammer. CoRR Xu Zhang, Marcos M. Vasconcelos
2022	J	`jnl`	Top-k data selection via distributed sample quantile inference. CoRR Xu Zhang, Marcos M. Vasconcelos
2021	J	`jnl`	Personalized Federated Learning via Maximizing Correlation with Sparse and Hierarchical Extensions. CoRR Yinchuan Li, Xiaofeng Liu, Xu Zhang, Yunfeng Shao, Qing Wang, Yanhui Geng
2021	J	`jnl`	Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information. IEEE Trans. Signal Process. Xu Zhang, Yulong Liu, Wei Cui
2020	Misc	`conf`	An Optimal Symmetric Threshold Strategy for Remote Estimation Over The Collision Channel. ICASSP Xu Zhang, Marcos M. Vasconcelos, Wei Cui, Urbashi Mitra
2020	J	`jnl`	Distributed remote estimation over the collision channel with and without local communication. CoRR Xu Zhang, Marcos M. Vasconcelos, Wei Cui, Urbashi Mitra
2020	J	`jnl`	Matrix Completion with Prior Subspace Information via Maximizing Correlation. CoRR Xu Zhang, Wei Cui, Yulong Liu
2020	J	`jnl`	Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information. CoRR Xu Zhang, Yulong Liu, Wei Cui
2019	J	`jnl`	Compressive Multidimensional Harmonic Retrieval with Prior Knowledge. CoRR Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang
2019	J	`jnl`	Covariance Matrix Estimation From Linearly-Correlated Gaussian Samples. IEEE Trans. Signal Process. Wei Cui, Xu Zhang, Yulong Liu
2019	J	`jnl`	Covariance Matrix Estimation from Correlated Sub-Gaussian Samples. CoRR Xu Zhang, Wei Cui, Yulong Liu
2019	J	`jnl`	Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging. IEEE Trans. Geosci. Remote. Sens. Yinchuan Li, Xiaodong Wang, Zegang Ding, Xu Zhang, Yin Xiang, Xiaopeng Yang
2018	J	`jnl`	Covariance Matrix Estimation from Correlated Samples. CoRR Wei Cui, Xu Zhang, Yulong Liu
2018	J	`jnl`	Recovery of Structured Signals With Prior Information via Maximizing Correlation. IEEE Trans. Signal Process. Xu Zhang, Wei Cui, Yulong Liu
2017	J	`jnl`	Compressed Sensing with Prior Information via Maximizing Correlation. CoRR Xu Zhang, Wei Cui, Yulong Liu
2017	B	`conf`	Compressed sensing with prior information via maximizing correlation. ISIT Xu Zhang, Wei Cui, Yulong Liu
2017	J	`jnl`	Recovery of Structured Signals with Prior Information via Maximizing Correlation. CoRR Xu Zhang, Wei Cui, Yulong Liu
2016	J	`jnl`	Unsupervised spectral feature selection with l Neurocomputing Xiaodong Wang, Xu Zhang, Zhiqiang Zeng, Qun Wu, Jian Zhang