Profile:

Welcome to my homepage!

I am Xu Zhang, an assistant professor at the School of Artificial Intelligence, Xidian University. Previously, I was a Postdoc at the State Key Laboratory of Scientific and Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences from 2021 to 2023. I received my Ph.D. and B.S. degrees in electronics engineering from the School of Information and Electronics, Beijing Institute of Technology, Beijing, China, in 2021 and 2015, respectively. He was a Visiting Student with the Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA, from 2018 to 2019. My research interests include federated learning, distributed optimization, and sparse learning.

 [English Homepage] [Google Scholar]

Email: zhang dot xu at xidian dot edu dot cn

Address: No. 266, Xinglong Section, Xifeng Road, Xi’an, Shaanxi Province

Services: ICML (2022 (Outstanding reviewer), 2023), NeurIPS (2022, 2023), IEEE TSP, IEEE Access, IEEE ISIT, IEEE CDC

Fundings: China Postdoctoral Science Foundation, China National Postdoctoral Program for Innovative Talents

Notes to students: Please contact me directly if you're interested in my research.

Preprints

• [P4] Xu Zhang and Marcos Vasconcelos*, Robust one-shot estimation over shared networks in the presence of denial-of-service attacks, submitted to IEEE Transactions on Automatic Control , 2023. Paper

• [P3] Xu Zhang, Wenpeng Li, Yunfeng Shao, Yinchuan Li*, Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. paper

• [P2] Xu Zhang, Wei Cui, and Yulong Liu, Matrix Completion with Prior Subspace Information via Maximizing Correlation, 2020. Paper

• [P1] Xu Zhang, Wei Cui, and Yulong Liu, Covariance Matrix Estimation from Correlated Sub-Gaussian Samples, 2019. Paper

Journal papers

• [J6] Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang *, Yunfeng Shao, and Yanhui Geng, Sparse Personalized Federated Learning, IEEE Transactions on Neural Networks and Learning Systems, March 2023. Paper

• [J5] Xu Zhang, Marcos M. Vasconcelos, Wei Cui, and Urbashi Mitra, Distributed remote estimation over the collision channel with and without local communication, IEEE Transactions on Control of Network System, June 2021. Paper

• [J4] Xu Zhang, Yulong Liu, and Wei Cui, Spectrally Sparse Signal Recovery via Hankel Matrix Completion with Prior Information, IEEE Transactions on Signal Processing, March 2021. Paper

• [J3] Wei Cui, Xu Zhang, and Yulong Liu, Covariance Matrix Estimation from Linearly-Correlated Gaussian Samples, IEEE Transactions on Signal Processing, March 2019. Paper

• [J2] Yinchuan Li, Xiaodong Wang, Zegang Ding, Xu Zhang, Ying Xiang, Xiaopeng Yang, Spectrum Recovery for Clutter Removal in Penetrating Radar Imaging, IEEE Transactions on Geoscience and Remote Sensing, 2019.Paper

• [J1] Xu Zhang, Wei Cui, and Yulong Liu, Recovery of Structured Signals With Prior Information via Maximizing Correlation, IEEE Transactions on Signal Processing, May 2018. Paper
  

Conference Papers

• [C8] Xu Zhang and Marcos Vasconcelos*, Top-k data selection via distributed sample quantile inference, Learning for Dynamics & Control Conference (L4DC), 2023. Paper

• [C7] Xu Zhang and Marcos M. Vasconcelos*, Robust remote estimation over the collision channel in the presence of an intelligent jammer, IEEE Conference on Decision and Control (CDC),, Dec. 2022. Paper

• [C6] Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao, Personalized Federated Learning via Variational Bayesian Inference, International Conference on Machine Learning (ICML), July 2022. Paper

• [C5] Jialiang Xu, and Xu Zhang *, Data-Time Tradeoffs for Optimal k-Thresholding Algorithms in Compressed Sensing, IEEE International Symposium on Information Theory (ISIT), June 2022. Paper

• [C4] Xu Zhang, Marcos M. Vasconcelos, Wei Cui, and Urbashi Mitra, An optimal symmetric threshold strategy for remote estimation over the collision channel, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020. Paper

• [C3] Yinchuan Li, Xu Zhang, Zegang Ding, Xiaodong Wang, Compressive Multidimensional Harmonic Retrieval with Prior Knowledge, IEEE International Conference on Signal, Information and Data Processing (ICSIDP), Dec 2019. Paper

• [C2] Xu Zhang, Wei Cui, and Yulong Liu, Compressed Sensing with Prior Information via Maximizing Correlation, IEEE International Symposium on Information Theory (ISIT), June 2017. Paper

• [C1] Tong Qian, Jing Tian, Xu Zhang, and Cui Wei, Atomic norm method for DOA estimation in random sampling condition, 2016 CIE International Conference on Radar (RADAR), 2016, Paper