Xiaojun Mao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Compressed Sensing

Differentially Private

Matrix Completion

Top Venues

Publications

Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu
Distributed Semi-Supervised Sparse Statistical Inference. IEEE Trans. Inf. Theory 70 (6) (2024)
Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang
SAM: A Self-Adaptive Attention Module for Context-Aware Recommendation System. ICASSP (2024)
Xin He, Xiaojun Mao, Zhonglei Wang
Nonparametric augmented probability weighting with sparsity. Comput. Stat. Data Anal. 191 (2024)
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Kejie Tang, Weidong Liu, Xiaojun Mao
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning. Mach. Learn. 113 (7) (2024)
Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy. CoRR (2024)
Jiyuan Tu, Weidong Liu, Xiaojun Mao
Byzantine-robust distributed sparse learning for M-estimation. Mach. Learn. 112 (10) (2023)
Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang
Transductive Matrix Completion with Calibration for Multi-Task Learning. CoRR (2023)
Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang
Transductive Matrix Completion with Calibration for Multi-Task Learning. ICASSP (2023)
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu
Distributed Semi-Supervised Sparse Statistical Inference. CoRR (2023)
Yilang Zhang, Mengchu Xu, Xiaojun Mao, Jian Wang
Uncertainty Modeling in Generative Compressed Sensing. ICML (2022)
Xiaojun Mao, Liuhua Peng, Zhonglei Wang
Nonparametric feature selection by random forests and deep neural networks. Comput. Stat. Data Anal. 170 (2022)
Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen
Majority Vote for Distributed Differentially Private Sign Selection. CoRR (2022)
Weidong Liu, Xiaojun Mao, Xin Zhang
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach. CoRR (2022)
Weidong Liu, Xiaojun Mao, Xin Zhang
Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. IEEE Trans. Signal Process. 70 (2022)
Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang
Applying Differential Privacy to Tensor Completion. ICASSP (2022)
Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. WWW (2022)
Yilang Zhang, Xiaojun Mao, Jian Wang, Weidong Liu
DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI. IEEE J. Sel. Top. Signal Process. 16 (4) (2022)
Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. UAI (2022)
Xiaojun Mao, Liuhua Peng, Zhonglei Wang
Nonparametric Feature Selection by Random Forests and Deep Neural Networks. CoRR (2022)
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. J. Mach. Learn. Res. 22 (2021)
Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. CoRR (2021)
Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
Matrix Completion with Model-free Weighting. CoRR (2021)
Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
Matrix Completion with Model-free Weighting. ICML (2021)
Zhengpin Li, Zheng Wei, Xiaojun Mao, Jian Wang
One-Bit Matrix Completion with Differential Privacy. CoRR (2021)
Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang
SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System. CoRR (2021)
Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang
Applying Differential Privacy to Tensor Completion. CoRR (2021)
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
Median Matrix Completion: from Embarrassment to Optimality. ICML (2020)
Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying
Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy. CoRR (2020)
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
Median Matrix Completion: from Embarrassment to Optimality. CoRR (2020)
Qizheng Gu, Cong Nie, Ruixiang Zou, Wei Chen, Chaojun Zheng, Dongqing Zhu, Xiaojun Mao, Zhongyu Wei, Dong Tian
Automatic Generation of Electromyogram Diagnosis Report. BIBM (2020)
Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
Distributed High-dimensional Regression Under a Quantile Loss Function. J. Mach. Learn. Res. 21 (2020)
Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
Distributed High-dimensional Regression Under a Quantile Loss Function. CoRR (2019)
Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen
Matrix Completion under Low-Rank Missing Mechanism. CoRR (2018)