Yunhai Xiao - RankMe

33 papers B 2Journal 30Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Global optimization of a convex-concave fraction plus a convex function using hidden sawtooth-curve bounds via a two-layer dual approach. J. Comput. Appl. Math. Longfei Wang, Yong Xia, Yunhai Xiao
2026	J	`jnl`	Semi-proximal ADMM for fused Lasso penalized least absolute deviation in partially linear model. Comput. Stat. Fanke Kong, Zheng-Fen Jin, Youlin Shang, Yunhai Xiao, Deren Han
2025	J	`jnl`	Efficient Group Lasso Regularized Rank Regression with Data-Driven Parameter Determination. CoRR Meixia Lin, Meijiao Shi, Yunhai Xiao, Qian Zhang
2025	J	`jnl`	Globally maximizing the ratio of two generalized quadratic matrix form functions over the Stiefel manifold. Numer. Algorithms Longfei Wang, Yu Chen, Hongwei Jiao, Yunhai Xiao, Meijia Yang
2024	J	`jnl`	A hybrid inexact regularized Newton and negative curvature method. Comput. Optim. Appl. Hong Zhu, Yunhai Xiao
2024	J	`jnl`	Convergence analysis of generalized ADMM with majorization for linearly constrained composite convex optimization. Optim. Lett. Hongwu Li, Haibin Zhang, Yunhai Xiao, Peili Li
2024	J	`jnl`	Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty. CoRR Yanyun Ding, Zhenghua Yao, Peili Li, Yunhai Xiao
2024	J	`jnl`	Linear convergence rate analysis of proximal generalized ADMM for convex composite programming. Optim. Lett. Han Wang, Yunhai Xiao
2023	J	`jnl`	An efficient semismooth Newton method for adaptive sparse signal recovery problems. Optim. Methods Softw. Yanyun Ding, Haibin Zhang, Peili Li, Yunhai Xiao
2023	J	`jnl`	Efficient dual ADMMs for sparse compressive sensing MRI reconstruction. Math. Methods Oper. Res. Yanyun Ding, Peili Li, Yunhai Xiao, Haibin Zhang
2022	J	`jnl`	A Fast Phase Optimization Approach of Distributed Scatterer for Multitemporal SAR Data Based on Gauss-Seidel Method. IEEE Geosci. Remote. Sens. Lett. Huina Song, Bowen Zhang, Mengyuan Wang, Yunhai Xiao, Liangliang Zhang, Hua Zhong
2022	J	`jnl`	Multiple Convex Objects Image Segmentation via Proximal Alternating Direction Method of Multipliers. CoRR Shousheng Luo, Jinfeng Chen, Yunhai Xiao, Xue-Cheng Tai
2021	J	`jnl`	Robust EEG feature learning model based on an adaptive weight and pairwise-fused LASSO. Biomed. Signal Process. Control. Lijun Yang, Sijia Ding, Feng Zhou, Xiaohui Yang, Yunhai Xiao
2019	J	`jnl`	An efficient algorithm for batch images alignment with adaptive rank-correction term. J. Comput. Appl. Math. Shuangyue Wang, Yunhai Xiao, Zheng-Fen Jin
2018	J	`jnl`	A generalized alternating direction method of multipliers with semi-proximal terms for convex composite conic programming. Math. Program. Comput. Yunhai Xiao, Liang Chen, Donghui Li
2018	J	`jnl`	An efficient algorithm for sparse inverse covariance matrix estimation based on dual formulation. Comput. Stat. Data Anal. Peili Li, Yunhai Xiao
2018	J	`jnl`	Symmetric Gauss-Seidel Technique-Based Alternating Direction Methods of Multipliers for Transform Invariant Low-Rank Textures Problem. J. Math. Imaging Vis. Yanyun Ding, Yunhai Xiao
2017	—	`conf`	Robust Face Recognition Model with Adaptive Correction Term via Generalized Alternating Direction Method of Multipliers. ICCCS (2) Can Wu, Yunhai Xiao, Wenjie Liu
2016	J	`jnl`	A limited memory BFGS algorithm for non-convex minimization with applications in matrix largest eigenvalue problem. Math. Methods Oper. Res. Zhanwen Shi, Guanyu Yang, Yunhai Xiao
2015	J	`jnl`	Norm descent conjugate gradient methods for solving symmetric nonlinear equations. J. Glob. Optim. Yunhai Xiao, Chunjie Wu, Soon-Yi Wu
2014	J	`jnl`	Nonmonotone Barzilai-Borwein Gradient Algorithm for ℓ J. Sci. Comput. Yunhai Xiao, Soon-Yi Wu, Liqun Qi
2013	J	`jnl`	Large sparse signal recovery by conjugate gradient algorithm based on smoothing technique. Comput. Math. Appl. Hong Zhu, Yunhai Xiao, Soon-Yi Wu
2013	J	`jnl`	Primal and dual alternating direction algorithms for Comput. Optim. Appl. Yunhai Xiao, Hong Zhu, Soon-Yi Wu
2013	J	`jnl`	Splitting and linearizing augmented Lagrangian algorithm for subspace recovery from corrupted observations. Adv. Comput. Math. Yunhai Xiao, Soon-Yi Wu, Dong-Hui Li
2012	J	`jnl`	A modified conjugate gradient algorithm with cyclic Barzilai-Borwein steplength for unconstrained optimization. J. Comput. Appl. Math. Yunhai Xiao, Huina Song, Zhiguo Wang
2011	J	`jnl`	Sufficient descent directions in unconstrained optimization. Comput. Optim. Appl. Xiao-Min An, Dong-Hui Li, Yunhai Xiao
2010	J	`jnl`	Notes on the Dai-Yuan-Yuan modified spectral gradient method. J. Comput. Appl. Math. Yunhai Xiao, Qiuyu Wang, Dong Wang
2008	J	`jnl`	A limited memory BFGS-type method for large-scale unconstrained optimization. Comput. Math. Appl. Yunhai Xiao, Zengxin Wei, Zhiguo Wang
2008	J	`jnl`	An active set limited memory BFGS algorithm for large-scale bound constrained optimization. Math. Methods Oper. Res. Yunhai Xiao, Dong-Hui Li
2007	J	`jnl`	A new subspace limited memory BFGS algorithm for large-scale bound constrained optimization. Appl. Math. Comput. Yunhai Xiao, Zengxin Wei
2003	B	`conf`	From categorical semantics to neural network design. IJCNN Michael J. Healy, Thomas P. Caudell, Yunhai Xiao
2003	J	`jnl`	eLoom and Flatland: specification, simulation and visualization engines for the study of arbitrary hierarchical neural architectures. Neural Networks Thomas P. Caudell, Yunhai Xiao, Michael J. Healy
2003	B	`conf`	eLoom: a specification, simulation and visualization engine for modeling arbitrary hierarchical neural architectures. IJCNN Yunhai Xiao, Thomas Preston Caudell, Michael J. Healy