The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization. - Zengxin Wei; Gaohang Yu; Gonglin Yuan; Zhigang Lian (Comput. Optim. Appl., 2004)

A new backtracking inexact BFGS method for symmetric nonlinear equations. - Gonglin Yuan; Xiwen Lu (Comput. Math. Appl., 2008)

A Trust-Region-Based BFGS Method with Line Search Technique for Symmetric Nonlinear Equations. - Gonglin Yuan; Shide Meng; Zengxin Wei (Adv. Oper. Res., 2009)

A modified PRP conjugate gradient method. - Gonglin Yuan; Xiwen Lu (Ann. Oper. Res., 2009)

A Rank-One Fitting Method with Descent Direction for Solving Symmetric Nonlinear Equations. - Gonglin Yuan; Zhongxing Wang 001; Zengxin Wei (Int. J. Commun. Netw. Syst. Sci., 2009)

A Conjugate Gradient Method for Unconstrained Optimization Problems. - Gonglin Yuan (Int. J. Math. Math. Sci., 2009)

A conjugate gradient method with descent direction for unconstrained optimization. - Gonglin Yuan; Xiwen Lu; Zengxin Wei (J. Comput. Appl. Math., 2009)

Modified nonlinear conjugate gradient methods with sufficient descent property for large-scale optimization problems. - Gonglin Yuan (Optim. Lett., 2009)

Convergence analysis of a modified BFGS method on convex minimizations. - Gonglin Yuan; Zengxin Wei (Comput. Optim. Appl., 2010)

A Line Search Algorithm for Unconstrained Optimization. - Gonglin Yuan; Sha Lu; Zengxin Wei (J. Softw. Eng. Appl., 2010)

A BFGS trust-region method for nonlinear equations. - Gonglin Yuan; Zengxin Wei; Xiwen Lu (Computing, 2011)

A new trust-region method with line search for solving symmetric nonlinear equations. - Gonglin Yuan; Sha Lu; Zengxin Wei (Int. J. Comput. Math., 2011)

Limited memory BFGS method with backtracking for symmetric nonlinear equations. - Gonglin Yuan; Zengxin Wei; Sha Lu (Math. Comput. Model., 2011)

Gradient trust region algorithm with limited memory BFGS update for nonsmooth convex minimization. - Gonglin Yuan; Zengxin Wei; Zhongxing Wang 001 (Comput. Optim. Appl., 2013)

A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs. - Gonglin Yuan; Zengxin Wei; Guoyin Li 001 (J. Comput. Appl. Math., 2014)

A three-terms Polak-Ribière-Polyak conjugate gradient algorithm for large-scale nonlinear equations. - Gonglin Yuan; Maojun Zhang (J. Comput. Appl. Math., 2015)

An active-set projected trust region algorithm for box constrained optimization problems. - Gonglin Yuan; Zengxin Wei; Maojun Zhang (J. Syst. Sci. Complex., 2015)

New Conjugate Gradient Algorithms Based on New Conjugacy Condition. - Gonglin Yuan; Gaohui Peng (ICCCS (2), 2016)

A Modified Hestenes and Stiefel Conjugate Gradient Algorithm for Large-Scale Nonsmooth Minimizations and Nonlinear Equations. - Gonglin Yuan; Zehong Meng; Yong Li (J. Optim. Theory Appl., 2016)

A Conjugate Gradient Algorithm with Yuan-Wei-Lu Line Search. - Gonglin Yuan; Wujie Hu; Zhou Sheng (ICCCS (2), 2017)

A Modified Wei-Yao-Liu Conjugate Gradient Algorithm for Two Type Minimization Optimization Models. - Xiaoliang Wang; Wujie Hu; Gonglin Yuan (ICCCS (1), 2018)

A Modified Dai-Yuan Conjugate Gradient Algorithm for Large-Scale Optimization Problems. - Gonglin Yuan; Tingting Li (ICCCS (1), 2018)

An effective adaptive trust region algorithm for nonsmooth minimization. - Zhou Sheng; Gonglin Yuan (Comput. Optim. Appl., 2018)

The global convergence of a modified BFGS method for nonconvex functions. - Gonglin Yuan; Zhou Sheng; Bopeng Wang; Wujie Hu; Chunnian Li (J. Comput. Appl. Math., 2018)

The Hager-Zhang conjugate gradient algorithm for large-scale nonlinear equations. - Gonglin Yuan; Bopeng Wang; Zhou Sheng (Int. J. Comput. Math., 2019)

Local convergence analysis of inverse iteration algorithm for computing the H-spectral radius of a nonnegative weakly irreducible tensor. - Zhou Sheng; Qin Ni; Gonglin Yuan (J. Comput. Appl. Math., 2019)

The global convergence of the Polak-Ribière-Polyak conjugate gradient algorithm under inexact line search for nonconvex functions. - Gonglin Yuan; Zengxin Wei; Yuning Yang (J. Comput. Appl. Math., 2019)

A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification. - Gonglin Yuan; Bing Xue 001; Mengjie Zhang 001 (IVCNZ, 2020)

The Projection Technique for Two Open Problems of Unconstrained Optimization Problems. - Gonglin Yuan; Xiaoliang Wang; Zhou Sheng (J. Optim. Theory Appl., 2020)

Family weak conjugate gradient algorithms and their convergence analysis for nonconvex functions. - Gonglin Yuan; Xiaoliang Wang; Zhou Sheng (Numer. Algorithms, 2020)

A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification. - Gonglin Yuan; Bing Xue 001; Mengjie Zhang 001 (PRICAI (1), 2021)

Stochastic Bigger Subspace Algorithms for Nonconvex Stochastic Optimization. - Gonglin Yuan; Yingjie Zhou 002; Liping Wang; Qingyuan Yang (IEEE Access, 2021)

The modified PRP conjugate gradient algorithm under a non-descent line search and its application in the Muskingum model and image restoration problems. - Gonglin Yuan; Junyu Lu; Zhan Wang (Soft Comput., 2021)

Adaptive scaling damped BFGS method without gradient Lipschitz continuity. - Gonglin Yuan; Mengxiang Zhang; Yingjie Zhou 002 (Appl. Math. Lett., 2022)

The global convergence of the BFGS method with a modified WWP line search for nonconvex functions. - Gonglin Yuan; Pengyuan Li 008; Junyu Lu (Numer. Algorithms, 2022)

Adaptive three-term PRP algorithms without gradient Lipschitz continuity condition for nonconvex functions. - Gonglin Yuan; Heshu Yang; Mengxiang Zhang (Numer. Algorithms, 2022)

A conjugate gradient algorithm based on double parameter scaled Broyden-Fletcher-Goldfarb-Shanno update for optimization problems and image restoration. - Dan Luo; Yong Li; Junyu Lu; Gonglin Yuan (Neural Comput. Appl., 2022)

of constructing a special orthogonal matrix for the deterministic remote preparation of arbitrary n-qubit state. - Wenjie Liu; Zixian Li; Gonglin Yuan (Quantum Inf. Comput., 2022)

A modified Dai-Liao conjugate gradient method for solving unconstrained optimization and image restoration problems. - Junyu Lu; Gonglin Yuan; Zhan Wang (J. Appl. Math. Comput., 2022)

Global convergence of a nonmonotone Broyden family method for nonconvex unconstrained minimization. - Gonglin Yuan; Zhan Wang; Pengyuan Li 010 (Comput. Appl. Math., 2022)

A modified HZ conjugate gradient algorithm without gradient Lipschitz continuous condition for non convex functions. - Gonglin Yuan; Ailun Jian; Mengxiang Zhang; Jiajia Yu (J. Appl. Math. Comput., 2022)

An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. - Gonglin Yuan; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2023)

Infeasibility of constructing a special orthogonal matrix for the deterministic remote preparation of arbitrary n-qubit state. - Wenjie Liu; Zixian Li; Gonglin Yuan (CoRR, 2023)

A class of new three-term descent conjugate gradient algorithms for large-scale unconstrained optimization and applications to image restoration problems. - Xiaoliang Wang; Gonglin Yuan; Liping Pang 001 (Numer. Algorithms, 2023)

An evolutionary neural architecture search method based on performance prediction and weight inheritance. - Gonglin Yuan; Bing Xue 001; Mengjie Zhang 001 (Inf. Sci., 2024)

A modified two-parameter scaled Broyden-type algorithm for unconstrained optimization problems. - Gonglin Yuan; Zhan Wang; Pengyuan Li 008 (J. Comput. Appl. Math., 2024)

vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data. - Nan Lin; Weifang Gao; Lian Li; Junhui Chen; Zi Liang; Gonglin Yuan; Heyang Sun; Qing Li 001; Jianhua Chen; Liri Jin; Yan Huang; Xiangqin Zhou; et al. (Neural Networks, 2024)

Fast Optimization of Charged Particle Dynamics with Damping. - Weiping Yan; Yu Tang; Gonglin Yuan (SIAM J. Optim., 2024)

An accelerated descent CG algorithm with clustering the eigenvalues for large-scale nonconvex unconstrained optimization and its application in image restoration problems. - Xiaoliang Wang; Gonglin Yuan (J. Comput. Appl. Math., 2024)

Biased stochastic conjugate gradient algorithm with adaptive step size for nonconvex problems. - Ruping Huang; Yan Qin; Kejun Liu; Gonglin Yuan (Expert Syst. Appl., 2024)

An adaptive projection BFGS method for nonconvex unconstrained optimization problems. - Gonglin Yuan; Xiong Zhao; Kejun Liu; Xiaoxuan Chen (Numer. Algorithms, 2024)

Stochastic three-term conjugate gradient method with variance technique for non-convex learning. - Chen Ouyang; Chenkaixiang Lu; Xiong Zhao; Ruping Huang; Gonglin Yuan; Yiyan Jiang (Stat. Comput., 2024)

Convergence and worst-case complexity of adaptive Riemannian trust-region methods for optimization on manifolds. - Zhou Sheng; Gonglin Yuan (J. Glob. Optim., 2024)

Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy. - Gonglin Yuan; Bin Wang 044; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Difference-enhanced adaptive momentum methods for non-convex stochastic optimization in image classification. - Chen Ouyang; Ailun Jian; Xiong Zhao; Gonglin Yuan (Digit. Signal Process., 2025)

Integration of adaptive projection BFGS and inertial extrapolation step for nonconvex optimization problems and its application in machine learning. - Gonglin Yuan; Yuehan Yang; Yong Li; Xiong Zhao; Zehong Meng (J. Frankl. Inst., 2025)

A correlation-guided cooperative coevolutionary method for feature selection via interaction learning-based space division. - Yaqing Hou; Huiyue Sun; Gonglin Yuan; Yijing Li; Zifan Che; Hongwei Ge (Swarm Evol. Comput., 2025)

A modified inertial three-term conjugate gradient method for nonsmooth convex optimization and its application. - Gonglin Yuan; Huiyun Liu; Hongtruong Pham (J. Appl. Math. Comput., 2025)

A stochastic recursive gradient algorithm with inertial extrapolation for non-convex problems and machine learning. - Zhongyu Mo; Chen Ouyang; Hongtruong Pham; Gonglin Yuan (Int. J. Mach. Learn. Cybern., 2025)

An improvement by introducing LBFGS idea into the Adam optimizer for machine learning. - Zhao Zhang; Gonglin Yuan; Zhenkai Qin; Qining Luo (Expert Syst. Appl., 2026)