Xiaojun Mao

According to our database, Xiaojun Mao authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

Nonparametric augmented probability weighting with sparsity.

Xin He, Xiaojun Mao, Zhonglei Wang

Comput. Stat. Data Anal., March, 2024

Efficient Sparse Least Absolute Deviation Regression With Differential Privacy.

Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang

IEEE Trans. Inf. Forensics Secur., 2024

Efficient Sparse Least Absolute Deviation Regression with Differential Privacy.

Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang

CoRR, 2024

2023

Byzantine-robust distributed sparse learning for M-estimation.

Jiyuan Tu, Weidong Liu, Xiaojun Mao

Mach. Learn., October, 2023

Distributed Semi-Supervised Sparse Statistical Inference.

Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu

CoRR, 2023

Transductive Matrix Completion with Calibration for Multi-Task Learning.

Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach.

Weidong Liu, Xiaojun Mao, Xin Zhang

IEEE Trans. Signal Process., 2022

DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI.

Yilang Zhang, Xiaojun Mao, Jian Wang, Weidong Liu

IEEE J. Sel. Top. Signal Process., 2022

Nonparametric feature selection by random forests and deep neural networks.

Xiaojun Mao, Liuhua Peng, Zhonglei Wang

Comput. Stat. Data Anal., 2022

Majority Vote for Distributed Differentially Private Sign Selection.

Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen

CoRR, 2022

Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy.

Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Byzantine-tolerant distributed multiclass sparse linear discriminant analysis.

Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Uncertainty Modeling in Generative Compressed Sensing.

Yilang Zhang, Mengchu Xu, Xiaojun Mao, Jian Wang

Proceedings of the International Conference on Machine Learning, 2022

Applying Differential Privacy to Tensor Completion.

Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference.

Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen

J. Mach. Learn. Res., 2021

One-Bit Matrix Completion with Differential Privacy.

Zhengpin Li, Zheng Wei, Xiaojun Mao, Jian Wang

CoRR, 2021

SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System.

Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang

CoRR, 2021

Matrix Completion with Model-free Weighting.

Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Distributed High-dimensional Regression Under a Quantile Loss Function.

Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang

J. Mach. Learn. Res., 2020

Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy.

Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying

CoRR, 2020

Median Matrix Completion: from Embarrassment to Optimality.

Weidong Liu, Xiaojun Mao, Raymond K. W. Wong

Proceedings of the 37th International Conference on Machine Learning, 2020

Automatic Generation of Electromyogram Diagnosis Report.

Qizheng Gu, Cong Nie, Ruixiang Zou, Wei Chen, Chaojun Zheng, Dongqing Zhu, Xiaojun Mao, Zhongyu Wei, Dong Tian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018

Matrix Completion under Low-Rank Missing Mechanism.

Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen

CoRR, 2018