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Hai Zhang 0001
Person information
- affiliation: Macau University of Science and Technology, Macau, SAR, China
- affiliation: Northwest University, Xi'an, China
- affiliation: Xi'an Jiaotong University, Faculty of Science, China
Other persons with the same name
- Hai Zhang — disambiguation page
- Hai Zhang 0002 — Anqing Normal University, School of Mathematics and Computation Science, China (and 2 more)
- Hai Zhang 0003 — Laval University, Department of Electrical and Computer Engineering, Quebec, Canada
- Hai Zhang 0004 — University of Glasgow, Adam Smith Business School, UK
- Hai Zhang 0005 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China (and 1 more)
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2020 – today
- 2024
- [j27]Xiao Guo, Hai Zhang, Xiangyu Chang:
On the efficacy of higher-order spectral clustering under weighted stochastic block models. Comput. Stat. Data Anal. 190: 107872 (2024) - [j26]Junying Hu, Peiju Chang, Fang Du, Rongrong Fei, Kai Sun, Jiangshe Zhang, Hai Zhang:
Back-propagating errors through artificial neural networks for variable selection. Int. J. Wavelets Multiresolution Inf. Process. 22(2): 2350046:1-2350046:25 (2024) - [j25]Lingjie Zhang, Hai Zhang:
Shuffle Private Decentralized Convex Optimization. IEEE Trans. Inf. Forensics Secur. 19: 5842-5851 (2024) - 2023
- [j24]Hui Zhang, Shoujiang Li, Yong Liang, Hai Zhang, Mengmeng Du:
UAMPnet: Unrolled approximate message passing network for nonconvex regularization. Expert Syst. Appl. 213(Part): 119220 (2023) - [j23]Lingjie Zhang, Hai Zhang:
Privacy-preserving federated learning on lattice quantization. Int. J. Wavelets Multiresolution Inf. Process. 21(6) (2023) - [j22]Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang:
Randomized Spectral Co-Clustering for Large-Scale Directed Networks. J. Mach. Learn. Res. 24: 380:1-380:68 (2023) - 2022
- [j21]Junying Hu, Kai Sun, Hai Zhang:
Helmholtz machine with differential privacy. Inf. Sci. 613: 888-903 (2022) - [j20]Hai Zhang, Xiao Guo, Xiangyu Chang:
Randomized Spectral Clustering in Large-Scale Stochastic Block Models. J. Comput. Graph. Stat. 31(3): 887-906 (2022) - 2021
- [j19]Xiao Guo, Hai Zhang:
Structured learning of time-varying networks with application to PM2.5 data. Commun. Stat. Simul. Comput. 50(5): 1364-1382 (2021) - [j18]Chengcai Leng, Hai Zhang, Guorong Cai, Zhen Chen, Anup Basu:
Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration. IEEE CAA J. Autom. Sinica 8(5): 1025-1037 (2021) - [j17]Puyu Wang, Zhenhuan Yang, Yunwen Lei, Yiming Ying, Hai Zhang:
Differentially private empirical risk minimization for AUC maximization. Neurocomputing 461: 419-437 (2021) - [j16]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): 2050081:1-2050081:20 (2021) - [i6]Puyu Wang, Yunwen Lei, Yiming Ying, Hai Zhang:
Differentially Private SGD with Non-Smooth Loss. CoRR abs/2101.08925 (2021) - 2020
- [j15]Puyu Wang, Hai Zhang:
Differential privacy for sparse classification learning. Neurocomputing 375: 91-101 (2020) - [j14]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): 1329-1340 (2020) - [i5]Hai Zhang, Xiao Guo, Xiangyu Chang:
Randomized Spectral Clustering in Large-Scale Stochastic Block Models. CoRR abs/2002.00839 (2020) - [i4]Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang:
Randomized spectral co-clustering for large-scale directed networks. CoRR abs/2004.12164 (2020)
2010 – 2019
- 2019
- [j13]Chengcai Leng, Hai Zhang, Bo Li, Guorong Cai, Zhao Pei, Li He:
Local Feature Descriptor for Image Matching: A Survey. IEEE Access 7: 6424-6434 (2019) - [j12]Hui Zhang, Hai Zhang, Yong Liang, Ziyi Yang, Yanqiong Ren:
Approximate Message Passing Algorithm for Nonconvex Regularization. IEEE Access 7: 9080-9090 (2019) - [j11]Xiao Guo, Hai Zhang, Yao Wang, Yong Liang:
Structure learning of sparse directed acyclic graphs incorporating the scale-free property. Comput. Stat. 34(2): 713-742 (2019) - [j10]Chengcai Leng, Hai Zhang, Guorong Cai, Irene Cheng, Anup Basu:
Graph regularized Lp smooth non-negative matrix factorization for data representation. IEEE CAA J. Autom. Sinica 6(2): 584-595 (2019) - [c4]Peishen Shi, Puyu Wang, Hai Zhang:
Distributed Logistic Regression for Separated Massive Data. Big Data (CCF) 2019: 285-296 - [i3]Puyu Wang, Hai Zhang:
Differential Privacy for Sparse Classification Learning. CoRR abs/1908.00780 (2019) - [i2]Wenqing Su, Xiao Guo, Hai Zhang:
Differentially Private Precision Matrix Estimation. CoRR abs/1909.02750 (2019) - 2018
- [c3]Chengcai Leng, Hai Zhang, Guorong Cai:
A Novel Data Clustering Method Based on Smooth Non-negative Matrix Factorization. ICSM 2018: 406-414 - 2017
- [j9]Hai Zhang, Puyu Wang, Qing Dong, Pu Wang:
Sparse Bayesian linear regression using generalized normal priors. Int. J. Wavelets Multiresolution Inf. Process. 15(3): 1750021:1-1750021:18 (2017) - 2014
- [j8]Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
The L1/2 regularization method for variable selection in the Cox model. Appl. Soft Comput. 14: 498-503 (2014) - [j7]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): 143-152 (2014) - 2013
- [j6]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: 198 (2013) - 2012
- [j5]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): 2582-2589 (2012) - [j4]Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang:
L1/2 Regularization: A Thresholding Representation Theory and a Fast Solver. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1013-1027 (2012) - [c2]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: 11-17 - [c1]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: 414-421 - [i1]Peter J. Bickel, David Choi, Xiangyu Chang, Hai Zhang:
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels. CoRR abs/1207.0865 (2012) - 2011
- [j3]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): 549-570 (2011) - 2010
- [j2]Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang:
L1/2 regularization. Sci. China Inf. Sci. 53(6): 1159-1169 (2010)
2000 – 2009
- 2009
- [j1]Bin Zou, Hai Zhang, Zongben Xu:
Learning from uniformly ergodic Markov chains. J. Complex. 25(2): 188-200 (2009)
Coauthor Index
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last updated on 2024-11-05 22:04 CET by the dblp team
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