Hai Zhang - RankMe

39 papers B 1Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent. CoRR Zhiyu Liu, Zhi Han, Yandong Tang, Hai Zhang, Shaojie Tang, Yao Wang
2025	J	`jnl`	Modified R-BERT with global semantic information for relation classification task. Comput. Speech Lang. Yuhua Wang, Junying Hu, Yongli Su, Bo Zhang, Kai Sun, Hai Zhang
2025	J	`jnl`	Privacy-preserving communication-efficient spectral clustering for distributed multiple networks. Comput. Stat. Data Anal. Shanghao Wu, Xiao Guo, Hai Zhang
2024	J	`jnl`	Back-propagating errors through artificial neural networks for variable selection. Int. J. Wavelets Multiresolution Inf. Process. Junying Hu, Peiju Chang, Fang Du, Rongrong Fei, Kai Sun, Jiangshe Zhang, Hai Zhang
2024	J	`jnl`	On the efficacy of higher-order spectral clustering under weighted stochastic block models. Comput. Stat. Data Anal. Xiao Guo, Hai Zhang, Xiangyu Chang
2024	J	`jnl`	Shuffle Private Decentralized Convex Optimization. IEEE Trans. Inf. Forensics Secur. Lingjie Zhang, Hai Zhang
2023	J	`jnl`	Privacy-preserving federated learning on lattice quantization. Int. J. Wavelets Multiresolution Inf. Process. Lingjie Zhang, Hai Zhang
2023	J	`jnl`	Randomized Spectral Co-Clustering for Large-Scale Directed Networks. J. Mach. Learn. Res. Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
2023	J	`jnl`	UAMPnet: Unrolled approximate message passing network for nonconvex regularization. Expert Syst. Appl. Hui Zhang, Shoujiang Li, Yong Liang, Hai Zhang, Mengmeng Du
2022	J	`jnl`	Helmholtz machine with differential privacy. Inf. Sci. Junying Hu, Kai Sun, Hai Zhang
2022	J	`jnl`	Randomized Spectral Clustering in Large-Scale Stochastic Block Models. J. Comput. Graph. Stat. Hai Zhang, Xiao Guo, Xiangyu Chang
2021	J	`jnl`	Differentially Private SGD with Non-Smooth Loss. CoRR Puyu Wang, Yunwen Lei, Yiming Ying, Hai Zhang
2021	J	`jnl`	Differentially private empirical risk minimization for AUC maximization. Neurocomputing Puyu Wang, Zhenhuan Yang, Yunwen Lei, Yiming Ying, Hai Zhang
2021	J	`jnl`	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. Junying Hu, Kai Sun, Hai Zhang
2021	J	`jnl`	Structured learning of time-varying networks with application to PM2.5 data. Commun. Stat. Simul. Comput. Xiao Guo, Hai Zhang
2021	J	`jnl`	Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration. IEEE CAA J. Autom. Sinica Chengcai Leng, Hai Zhang, Guorong Cai, Zhen Chen, Anup Basu
2020	J	`jnl`	Differential privacy for sparse classification learning. Neurocomputing Puyu Wang, Hai Zhang
2020	J	`jnl`	Novel Regularization Method for Biomarker Selection and Cancer Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Xiao-Ying Liu, Sai Wang, Hai Zhang, Hui Zhang, Ziyi Yang, Yong Liang
2020	J	`jnl`	Randomized Spectral Clustering in Large-Scale Stochastic Block Models. CoRR Hai Zhang, Xiao Guo, Xiangyu Chang
2020	J	`jnl`	Randomized spectral co-clustering for large-scale directed networks. CoRR Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang
2019	J	`jnl`	Approximate Message Passing Algorithm for Nonconvex Regularization. IEEE Access Hui Zhang, Hai Zhang, Yong Liang, Ziyi Yang, Yanqiong Ren
2019	J	`jnl`	Differential Privacy for Sparse Classification Learning. CoRR Puyu Wang, Hai Zhang
2019	J	`jnl`	Differentially Private Precision Matrix Estimation. CoRR Wenqing Su, Xiao Guo, Hai Zhang
2019	B	`conf`	Distributed Logistic Regression for Separated Massive Data. Big Data (CCF) Peishen Shi, Puyu Wang, Hai Zhang
2019	J	`jnl`	Graph regularized Lp smooth non-negative matrix factorization for data representation. IEEE CAA J. Autom. Sinica Chengcai Leng, Hai Zhang, Guorong Cai, Irene Cheng, Anup Basu
2019	J	`jnl`	Local Feature Descriptor for Image Matching: A Survey. IEEE Access Chengcai Leng, Hai Zhang, Bo Li, Guorong Cai, Zhao Pei, Li He
2019	J	`jnl`	Structure learning of sparse directed acyclic graphs incorporating the scale-free property. Comput. Stat. Xiao Guo, Hai Zhang, Yao Wang, Yong Liang
2018	—	`conf`	A Novel Data Clustering Method Based on Smooth Non-negative Matrix Factorization. ICSM Chengcai Leng, Hai Zhang, Guorong Cai
2017	J	`jnl`	Sparse Bayesian linear regression using generalized normal priors. Int. J. Wavelets Multiresolution Inf. Process. Hai Zhang, Puyu Wang, Qing Dong, Pu Wang
2014	J	`jnl`	A novel L1/2 regularization shooting method for Cox's proportional hazards model. Soft Comput. Xin-Ze Luan, Yong Liang, Cheng Liu, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
2014	J	`jnl`	The L Appl. Soft Comput. Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
2013	J	`jnl`	Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. BMC Bioinform. Yong Liang, Cheng Liu, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
2012	J	`jnl`	Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels CoRR Peter J. Bickel, David Choi, Xiangyu Chang, Hai Zhang
2012	—	`conf`	Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. ICSI (2) Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang
2012	J	`jnl`	L IEEE Trans. Neural Networks Learn. Syst. Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang
2012	—	`conf`	Regularization Path for Linear Model via Net Method. ICSI (2) Xin-Ze Luan, Yong Liang, Cheng Liu, Zongben Xu, Hai Zhang, Kwong-Sak Leung, Tak-Ming Chan
2012	J	`jnl`	The essential ability of sparse reconstruction of different compressive sensing strategies. Sci. China Inf. Sci. Hai Zhang, Yong Liang, HaiLiang Gou, Zongben Xu
2011	J	`jnl`	Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. Int. J. Wavelets Multiresolution Inf. Process. Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang
2009	J	`jnl`	Learning from uniformly ergodic Markov chains. J. Complex. Bin Zou, Hai Zhang, Zongben Xu