default search action
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
- Hai Zhang 0004
- Hai Zhang 0005
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
Shuffle Private Decentralized Convex Optimization. IEEE Trans. Inf. Forensics Secur. 19: 5842-5851 (2024) - 2023
- [j24]Hui Zhang, Shoujiang Li
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
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
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
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
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
Approximate Message Passing Algorithm for Nonconvex Regularization. IEEE Access 7: 9080-9090 (2019) - [j11]Xiao Guo, Hai Zhang
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-13 19:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: