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2020 – today
- 2024
[j11]Xin He, Xiaojun Mao, Zhonglei Wang:
Nonparametric augmented probability weighting with sparsity. Comput. Stat. Data Anal. 191: 107890 (2024)- [j10]Jiyuan Tu, Weidong Liu, Xiaojun Mao:
Distributed Estimation on Semi-Supervised Generalized Linear Model. J. Mach. Learn. Res. 25: 76:1-76:41 (2024) - [j9]Kejie Tang, Weidong Liu, Xiaojun Mao
:
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning. Mach. Learn. 113(7): 4315-4357 (2024) - [j8]Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang:
Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 19: 2328-2339 (2024) - [j7]Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu:
Distributed Semi-Supervised Sparse Statistical Inference. IEEE Trans. Inf. Theory 70(6): 4197-4217 (2024) - [c9]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: 7775-7779 - [i15]Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang:
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy. CoRR abs/2401.01294 (2024) - 2023
- [j6]Jiyuan Tu, Weidong Liu, Xiaojun Mao:
Byzantine-robust distributed sparse learning for M-estimation. Mach. Learn. 112(10): 3773-3804 (2023) - [c8]Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang:
Transductive Matrix Completion with Calibration for Multi-Task Learning. ICASSP 2023: 1-5 - [i14]Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang:
Transductive Matrix Completion with Calibration for Multi-Task Learning. CoRR abs/2302.09834 (2023) - [i13]Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu:
Distributed Semi-Supervised Sparse Statistical Inference. CoRR abs/2306.10395 (2023) - 2022
- [j5]Xiaojun Mao, Liuhua Peng, Zhonglei Wang:
Nonparametric feature selection by random forests and deep neural networks. Comput. Stat. Data Anal. 170: 107436 (2022) - [j4]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): 725-736 (2022) - [j3]Weidong Liu, Xiaojun Mao, Xin Zhang:
Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. IEEE Trans. Signal Process. 70: 797-809 (2022) - [c7]Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang:
Applying Differential Privacy to Tensor Completion. ICASSP 2022: 3923-3927 - [c6]Yilang Zhang, Mengchu Xu, Xiaojun Mao, Jian Wang:
Uncertainty Modeling in Generative Compressed Sensing. ICML 2022: 26655-26668 - [c5]Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong:
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. UAI 2022: 129-138 - [c4]Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang:
Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. WWW 2022: 599-609 - [i12]Xiaojun Mao, Liuhua Peng, Zhonglei Wang:
Nonparametric Feature Selection by Random Forests and Deep Neural Networks. CoRR abs/2201.06821 (2022) - [i11]Weidong Liu, Xiaojun Mao, Xin Zhang:
Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach. CoRR abs/2202.05498 (2022) - [i10]Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen:
Majority Vote for Distributed Differentially Private Sign Selection. CoRR abs/2209.04419 (2022) - 2021
- [j2]Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen:
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. J. Mach. Learn. Res. 22: 84:1-84:67 (2021) - [c3]Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan:
Matrix Completion with Model-free Weighting. ICML 2021: 10927-10936 - [i9]Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen:
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. CoRR abs/2103.02860 (2021) - [i8]Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan:
Matrix Completion with Model-free Weighting. CoRR abs/2106.05850 (2021) - [i7]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 abs/2110.00452 (2021) - [i6]Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang:
Applying Differential Privacy to Tensor Completion. CoRR abs/2110.00539 (2021) - [i5]Zhengpin Li, Zheng Wei, Xiaojun Mao, Jian Wang:
One-Bit Matrix Completion with Differential Privacy. CoRR abs/2110.00719 (2021) - 2020
- [j1]Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang:
Distributed High-dimensional Regression Under a Quantile Loss Function. J. Mach. Learn. Res. 21: 182:1-182:43 (2020) - [c2]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: 1645-1650 - [c1]Weidong Liu, Xiaojun Mao, Raymond K. W. Wong:
Median Matrix Completion: from Embarrassment to Optimality. ICML 2020: 6294-6304 - [i4]Weidong Liu, Xiaojun Mao, Raymond K. W. Wong:
Median Matrix Completion: from Embarrassment to Optimality. CoRR abs/2006.10400 (2020) - [i3]Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying:
Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy. CoRR abs/2012.02081 (2020)
2010 – 2019
- 2019
- [i2]Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang:
Distributed High-dimensional Regression Under a Quantile Loss Function. CoRR abs/1906.05741 (2019) - 2018
- [i1]Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen:
Matrix Completion under Low-Rank Missing Mechanism. CoRR abs/1812.07813 (2018)
Coauthor Index
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