Publications
Preprints
[P5] Simpler Gradient Methods for Blind Super Resolution with Lower Iteration Complexity
Jinsheng Li, Wei Cui, Xu Zhang*, submitted to IEEE Transactions on Signal Processing, 2024.
[P3] Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering
Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li*, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. [Paper]
[P2] Matrix Completion with Prior Subspace Information via Maximizing Correlation
Xu Zhang, Wei Cui, and Yulong Liu, 2020. [Paper]
[P1] Covariance Matrix Estimation from Correlated Sub-Gaussian Samples
Xu Zhang, Wei Cui, and Yulong Liu, 2019. [Paper]
Journal Papers
[J9] Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
Xinyuan Ji#, Xu Zhang#, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li*, Neural Networks, April 2024. [Paper]
[J8] Multi-Agent Continuous Control with Generative Flow Networks
Shuang Luo, Yinchuan Li*, Shunyu Liu, Xu Zhang, Yunfeng Shao, Chao Wu*, Neural Networks, March 2024. [Paper]
[J6] Sparse Personalized Federated Learning
Xiaofeng Liu , Yinchuan Li, Qing Wang*, Xu Zhang*, Yunfeng Shao , and Yanhui Geng , IEEE Transactions on Neural Networks and Learning Systems, March 2023. [Paper]
[J4] Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information
Xu Zhang, Yulong Liu, and Wei Cui, IEEE Transactions on Signal Processing, March 2021. [Paper]
[J3] Covariance Matrix Estimation from Linearly-Correlated Gaussian Samples
Wei Cui, Xu Zhang, and Yulong Liu, IEEE Transactions on Signal Processing, March 2019. [Paper]
[J2] Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging
Yinchuan Li, Xiaodong Wang , Zegang Ding , Xu Zhang, Ying Xiang, Xiaopeng Yang. IEEE Transactions on Geoscience and Remote Sensing, 2019.[Paper]
[J1] Recovery of Structured Signals With Prior Information via Maximizing Correlation
Xu Zhang, Wei Cui, and Yulong Liu, IEEE Transactions on Signal Processing, May 2018. [Paper]
Conference Papers
[C6] Personalized Federated Learning via Variational Bayesian Inference
Xu Zhang#, Yinchuan Li#, Wenpeng Li, Kaiyang Guo, Yunfeng Shao, International Conference on Machine Learning (ICML), July 2022. [Paper]
[C5] Data-Time Tradeoffs for Optimal k-Thresholding Algorithms in Compressed Sensing
Jialiang Xu, and Xu Zhang *, IEEE International Symposium on Information Theory (ISIT), June 2022. [Paper]
[C4] An optimal symmetric threshold strategy for remote estimation over the collision channel
Xu Zhang, Marcos M. Vasconcelos, Wei Cui, and Urbashi Mitra, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020. [Paper]
[C3] Compressive Multidimensional Harmonic Retrieval with Prior Knowledge
Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang , IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Dec 2019. [Paper]
[C2] Compressed Sensing with Prior Information via Maximizing Correlation
Xu Zhang, Wei Cui, and Yulong Liu, IEEE International Symposium on Information Theory (ISIT), June 2017. [Paper]
[C1] Atomic norm method for DOA estimation in random sampling condition
Tong Qian, Jing Tian, Xu Zhang, and Cui, Wei, 2016 CIE International Conference on Radar (RADAR), 2016, [Paper]