Matrix Completion under Low-Rank Missing Mechanism. - Xiaojun Mao; Raymond K. W. Wong; Song Xi Chen (CoRR, 2018)

Automatic Generation of Electromyogram Diagnosis Report. - Qizheng Gu; Cong Nie; Ruixiang Zou; Wei Chen 088; Chaojun Zheng; Dongqing Zhu; Xiaojun Mao; Zhongyu Wei; Dong Tian (BIBM, 2020)

Median Matrix Completion: from Embarrassment to Optimality. - Weidong Liu 005; Xiaojun Mao; Raymond K. W. Wong (ICML, 2020)

Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy. - Zhongzheng Xiong; Zengfeng Huang; Xiaojun Mao; Jian Wang 016; Shan Ying (CoRR, 2020)

Distributed High-dimensional Regression Under a Quantile Loss Function. - Xi Chen; Weidong Liu 005; Xiaojun Mao; Zhuoyi Yang (J. Mach. Learn. Res., 2020)

Matrix Completion with Model-free Weighting. - Jiayi Wang; Raymond K. W. Wong; Xiaojun Mao; Kwun Chuen Gary Chan (ICML, 2021)

One-Bit Matrix Completion with Differential Privacy. - Zhengpin Li; Zheng Wei; Xiaojun Mao; Jian Wang 016 (CoRR, 2021)

Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. - Jiyuan Tu; Weidong Liu 005; Xiaojun Mao; Xi Chen (J. Mach. Learn. Res., 2021)

Applying Differential Privacy to Tensor Completion. - Zheng Wei; Zhengpin Li; Xiaojun Mao; Jian Wang 016 (ICASSP, 2022)

Uncertainty Modeling in Generative Compressed Sensing. - Yilang Zhang; Mengchu Xu; Xiaojun Mao; Jian Wang 016 (ICML, 2022)

Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. - Yajie Bao; Weidong Liu 005; Xiaojun Mao; Weijia Xiong (UAI, 2022)

Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. - Zhongzheng Xiong; Jialin Sun; Xiaojun Mao; Jian Wang 016; Shan Ying; Zengfeng Huang (WWW, 2022)

Majority Vote for Distributed Differentially Private Sign Selection. - Weidong Liu 005; Jiyuan Tu; Xiaojun Mao; Xi Chen (CoRR, 2022)

Nonparametric feature selection by random forests and deep neural networks. - Xiaojun Mao; Liuhua Peng; Zhonglei Wang (Comput. Stat. Data Anal., 2022)

DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI. - Yilang Zhang; Xiaojun Mao; Jian Wang 016; Weidong Liu 005 (IEEE J. Sel. Top. Signal Process., 2022)

Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. - Weidong Liu 005; Xiaojun Mao; Xin Zhang 054 (IEEE Trans. Signal Process., 2022)

Transductive Matrix Completion with Calibration for Multi-Task Learning. - Hengfang Wang; Yasi Zhang; Xiaojun Mao; Zhonglei Wang (ICASSP, 2023)

Byzantine-robust distributed sparse learning for M-estimation. - Jiyuan Tu; Weidong Liu 005; Xiaojun Mao (Mach. Learn., 2023)

SAM: A Self-Adaptive Attention Module for Context-Aware Recommendation System. - Jiabin Liu; Zheng Wei; Zhengpin Li; Xiaojun Mao; Jian Wang 016; Zhongyu Wei; Qi Zhang (ICASSP, 2024)

ST$_k$: A Scalable Module for Solving Top-k Problems. - Hanchen Xia; Weidong Liu 005; Xiaojun Mao (NeurIPS, 2024)

Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness. - Xiaojun Mao; Hengfang Wang; Zhonglei Wang; Shu Yang 006 (J. Comput. Graph. Stat., 2024)

Distributed Estimation on Semi-Supervised Generalized Linear Model. - Jiyuan Tu; Weidong Liu 005; Xiaojun Mao (J. Mach. Learn. Res., 2024)

Collective Matrix Completion via Graph Extraction. - Tong Zhan; Xiaojun Mao; Jian Wang 016; Zhonglei Wang (IEEE Signal Process. Lett., 2024)

Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. - Weidong Liu 005; Xiaojun Mao; Xiaofei Zhang; Xin Zhang 054 (IEEE Trans. Inf. Forensics Secur., 2024)

Nonparametric augmented probability weighting with sparsity. - Xin He; Xiaojun Mao; Zhonglei Wang (Comput. Stat. Data Anal., 2024)

Distributed Semi-Supervised Sparse Statistical Inference. - Jiyuan Tu; Weidong Liu 005; Xiaojun Mao; Mingyue Xu (IEEE Trans. Inf. Theory, 2024)

Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning. - Kejie Tang; Weidong Liu 005; Xiaojun Mao (Mach. Learn., 2024)

Efficient and provable online reduced rank regression via online gradient descent. - Xiao Liu; Weidong Liu 005; Xiaojun Mao (Mach. Learn., 2024)

Transfer Learning via Functional Balancing in Reproducing Kernel Hilbert Spaces. - Boyan Gu; Sheng Zheng; Xiaojun Mao; Zhonglei Wang (ICASSP, 2025)

A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration. - Yuchen Hu; Xi Chen; Weidong Liu 005; Xiaojun Mao (CoRR, 2025)

A New Accelerated Off-Policy Stochastic Preconditioned TD(0) Algorithm. - Weidong Liu 005; Jiahua Ma; Xiaojun Mao; Kejie Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)