Hai Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Regularization Method

Top Venues

Int. J. Wavelets Multiresolution Inf. Process.

Publications

Xiao Guo, Hai Zhang, Xiangyu Chang
On the efficacy of higher-order spectral clustering under weighted stochastic block models. Comput. Stat. Data Anal. 190 (2024)
Junying Hu, Kai Sun, Hai Zhang
Helmholtz machine with differential privacy. Inf. Sci. 613 (2022)
Puyu Wang, Yunwen Lei, Yiming Ying, Hai Zhang
Differentially Private SGD with Non-Smooth Loss. CoRR (2021)
Junying Hu, Kai Sun, Hai Zhang
Enhancing performance of the back-propagation algorithm based on a novel regularization method of preserving inter-object-distance of data. Int. J. Wavelets Multiresolution Inf. Process. 19 (3) (2021)
Puyu Wang, Zhenhuan Yang, Yunwen Lei, Yiming Ying, Hai Zhang
Differentially private empirical risk minimization for AUC maximization. Neurocomputing 461 (2021)
Xiao-Ying Liu, Sai Wang, Hai Zhang, Hui Zhang, Ziyi Yang, Yong Liang
Novel Regularization Method for Biomarker Selection and Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Hai Zhang, Xiao Guo, Xiangyu Chang
Randomized Spectral Clustering in Large-Scale Stochastic Block Models. CoRR (2020)
Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
Randomized spectral co-clustering for large-scale directed networks. CoRR (2020)
Puyu Wang, Hai Zhang
Differential privacy for sparse classification learning. Neurocomputing 375 (2020)
Hui Zhang, Hai Zhang, Yong Liang, Ziyi Yang, Yanqiong Ren
Approximate Message Passing Algorithm for Nonconvex Regularization. IEEE Access 7 (2019)
Puyu Wang, Hai Zhang
Differential Privacy for Sparse Classification Learning. CoRR (2019)
Peishen Shi, Puyu Wang, Hai Zhang
Distributed Logistic Regression for Separated Massive Data. Big Data (CCF) (2019)
Hai Zhang, Puyu Wang, Qing Dong, Pu Wang
Sparse Bayesian linear regression using generalized normal priors. Int. J. Wavelets Multiresolution Inf. Process. 15 (3) (2017)
Xin-Ze Luan, Yong Liang, Cheng Liu, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
A novel L1/2 regularization shooting method for Cox's proportional hazards model. Soft Comput. 18 (1) (2014)
Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
regularization method for variable selection in the Cox model. Appl. Soft Comput. 14 (2014)
Yong Liang, Cheng Liu, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. BMC Bioinform. 14 (2013)
Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang
Regularization: A Thresholding Representation Theory and a Fast Solver. IEEE Trans. Neural Networks Learn. Syst. 23 (7) (2012)
Xin-Ze Luan, Yong Liang, Cheng Liu, Zongben Xu, Hai Zhang, Kwong-Sak Leung, Tak-Ming Chan
Regularization Path for Linear Model via Net Method. ICSI (2) (2012)
Hai Zhang, Yong Liang, HaiLiang Gou, Zongben Xu
The essential ability of sparse reconstruction of different compressive sensing strategies. Sci. China Inf. Sci. 55 (11) (2012)
Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. ICSI (2) (2012)
Peter Bickel, David Choi, Xiangyu Chang, Hai Zhang
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels CoRR (2012)
Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang
Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. Int. J. Wavelets Multiresolution Inf. Process. 9 (4) (2011)
Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang
regularization. Sci. China Inf. Sci. 53 (6) (2010)
Bin Zou, Hai Zhang, Zongben Xu
Learning from uniformly ergodic Markov chains. J. Complex. 25 (2) (2009)