Xiaojun Mao - RankMe

44 papers A* 5A 1Misc 4Journal 33Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Decentralized Median Value Estimation. IEEE Trans. Netw. Weidong Liu, Xiaojun Mao
2025	J	`jnl`	A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration. CoRR Yuchen Hu, Xi Chen, Weidong Liu, Xiaojun Mao
2025	J	`jnl`	A New Accelerated Off-Policy Stochastic Preconditioned TD(0) Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Weidong Liu, Jiahua Ma, Xiaojun Mao, Kejie Tang
2025	J	`jnl`	Group-Sparse Inductive Matrix Completion Through Transfer Learning. IEEE Trans. Inf. Theory Xiaojun Mao, Hengfang Wang, Zhonglei Wang
2025	Misc	`conf`	Transfer Learning via Functional Balancing in Reproducing Kernel Hilbert Spaces. ICASSP Boyan Gu, Sheng Zheng, Xiaojun Mao, Zhonglei Wang
2024	J	`jnl`	Collective Matrix Completion via Graph Extraction. IEEE Signal Process. Lett. Tong Zhan, Xiaojun Mao, Jian Wang, Zhonglei Wang
2024	J	`jnl`	Distributed Estimation on Semi-Supervised Generalized Linear Model. J. Mach. Learn. Res. Jiyuan Tu, Weidong Liu, Xiaojun Mao
2024	J	`jnl`	Distributed Semi-Supervised Sparse Statistical Inference. IEEE Trans. Inf. Theory Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu
2024	J	`jnl`	Efficient Sparse Least Absolute Deviation Regression With Differential Privacy. IEEE Trans. Inf. Forensics Secur. Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
2024	J	`jnl`	Efficient Sparse Least Absolute Deviation Regression with Differential Privacy. CoRR Weidong Liu, Xiaojun Mao, Xiaofei Zhang, Xin Zhang
2024	J	`jnl`	Efficient and provable online reduced rank regression via online gradient descent. Mach. Learn. Xiao Liu, Weidong Liu, Xiaojun Mao
2024	J	`jnl`	Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness. J. Comput. Graph. Stat. Xiaojun Mao, Hengfang Wang, Zhonglei Wang, Shu Yang
2024	J	`jnl`	Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning. Mach. Learn. Kejie Tang, Weidong Liu, Xiaojun Mao
2024	J	`jnl`	Nonparametric augmented probability weighting with sparsity. Comput. Stat. Data Anal. Xin He, Xiaojun Mao, Zhonglei Wang
2024	Misc	`conf`	SAM: A Self-Adaptive Attention Module for Context-Aware Recommendation System. ICASSP Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang
2024	A*	`conf`	ST$_k$: A Scalable Module for Solving Top-k Problems. NeurIPS Hanchen Xia, Weidong Liu, Xiaojun Mao
2023	J	`jnl`	Byzantine-robust distributed sparse learning for M-estimation. Mach. Learn. Jiyuan Tu, Weidong Liu, Xiaojun Mao
2023	J	`jnl`	Distributed Semi-Supervised Sparse Statistical Inference. CoRR Jiyuan Tu, Weidong Liu, Xiaojun Mao, Mingyue Xu
2023	Misc	`conf`	Transductive Matrix Completion with Calibration for Multi-Task Learning. ICASSP Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang
2023	J	`jnl`	Transductive Matrix Completion with Calibration for Multi-Task Learning. CoRR Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang
2022	Misc	`conf`	Applying Differential Privacy to Tensor Completion. ICASSP Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang
2022	A	`conf`	Byzantine-tolerant distributed multiclass sparse linear discriminant analysis. UAI Yajie Bao, Weidong Liu, Xiaojun Mao, Weijia Xiong
2022	A*	`conf`	Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. WWW Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang
2022	J	`jnl`	DEMO: A Flexible Deartifacting Module for Compressed Sensing MRI. IEEE J. Sel. Top. Signal Process. Yilang Zhang, Xiaojun Mao, Jian Wang, Weidong Liu
2022	J	`jnl`	Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach. IEEE Trans. Signal Process. Weidong Liu, Xiaojun Mao, Xin Zhang
2022	J	`jnl`	Fast and Robust Sparsity Learning over Networks: A Decentralized Surrogate Median Regression Approach. CoRR Weidong Liu, Xiaojun Mao, Xin Zhang
2022	J	`jnl`	Majority Vote for Distributed Differentially Private Sign Selection. CoRR Weidong Liu, Jiyuan Tu, Xiaojun Mao, Xi Chen
2022	J	`jnl`	Nonparametric Feature Selection by Random Forests and Deep Neural Networks. CoRR Xiaojun Mao, Liuhua Peng, Zhonglei Wang
2022	J	`jnl`	Nonparametric feature selection by random forests and deep neural networks. Comput. Stat. Data Anal. Xiaojun Mao, Liuhua Peng, Zhonglei Wang
2022	A*	`conf`	Uncertainty Modeling in Generative Compressed Sensing. ICML Yilang Zhang, Mengchu Xu, Xiaojun Mao, Jian Wang
2021	J	`jnl`	Applying Differential Privacy to Tensor Completion. CoRR Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang
2021	A*	`conf`	Matrix Completion with Model-free Weighting. ICML Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
2021	J	`jnl`	Matrix Completion with Model-free Weighting. CoRR Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao, Kwun Chuen Gary Chan
2021	J	`jnl`	One-Bit Matrix Completion with Differential Privacy. CoRR Zhengpin Li, Zheng Wei, Xiaojun Mao, Jian Wang
2021	J	`jnl`	SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System. CoRR Jiabin Liu, Zheng Wei, Zhengpin Li, Xiaojun Mao, Jian Wang, Zhongyu Wei, Qi Zhang
2021	J	`jnl`	Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. CoRR Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
2021	J	`jnl`	Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference. J. Mach. Learn. Res. Jiyuan Tu, Weidong Liu, Xiaojun Mao, Xi Chen
2020	—	`conf`	Automatic Generation of Electromyogram Diagnosis Report. BIBM Qizheng Gu, Cong Nie, Ruixiang Zou, Wei Chen, Chaojun Zheng, Dongqing Zhu, Xiaojun Mao, Zhongyu Wei, Dong Tian
2020	J	`jnl`	Compressive Privatization: Sparse Distribution Estimation under Locally Differentially Privacy. CoRR Zhongzheng Xiong, Zengfeng Huang, Xiaojun Mao, Jian Wang, Shan Ying
2020	J	`jnl`	Distributed High-dimensional Regression Under a Quantile Loss Function. J. Mach. Learn. Res. Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
2020	A*	`conf`	Median Matrix Completion: from Embarrassment to Optimality. ICML Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
2020	J	`jnl`	Median Matrix Completion: from Embarrassment to Optimality. CoRR Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
2019	J	`jnl`	Distributed High-dimensional Regression Under a Quantile Loss Function. CoRR Xi Chen, Weidong Liu, Xiaojun Mao, Zhuoyi Yang
2018	J	`jnl`	Matrix Completion under Low-Rank Missing Mechanism. CoRR Xiaojun Mao, Raymond K. W. Wong, Song Xi Chen