Gonglin Yuan - RankMe

67 papers A 1B 1Misc 1Journal 58Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A novel stochastic conjugate gradient algorithm based on a stochastic differential equation perspective. Eur. J. Oper. Res. Gonglin Yuan, Junyu Lu, Zhongzhou Jin, Jiajia Yu
2026	J	`jnl`	An improvement by introducing LBFGS idea into the Adam optimizer for machine learning. Expert Syst. Appl. Zhao Zhang, Gonglin Yuan, Zhenkai Qin, Qining Luo
2026	J	`jnl`	An inertial Hestenes-Stiefel algorithm for nonsmooth convex optimization and its applications in machine learning. Numer. Algorithms Jiahuan Tang, Chen Ouyang, Hongtruong Pham, Gonglin Yuan
2026	J	`jnl`	Regularity model-driven large-scale multi-objective evolutionary algorithm based on dual-information offspring reproduction strategy. Expert Syst. Appl. Ying Wu, Ziliang Du, Gonglin Yuan, Zhenzhou Tang, Ferrante Neri, Yaqing Hou
2026	J	`jnl`	Stochastic conjugate gradient algorithm with an inertial extrapolation step for nonconvex optimization in machine learning. J. Appl. Math. Comput. Yijia Wang, Chen Ouyang, Beisai Hu, Gonglin Yuan, Yunfeng Wang
2026	J	`jnl`	Stochastic limited memory BFGS algorithms for solving nonconvex support vector machine problems and nonconvex risk minimization program. J. Comput. Appl. Math. Gonglin Yuan, Yingjie Zhou, Fanhua Shang, Zhijin Ge, Zhongzhou Jin
2025	—	`conf`	A Two-Stage Explanation-Based Method Using Particle Swarm Optimization for Black-Box Adversarial Attack. GECCO Companion Chaoxin Zhang, Gonglin Yuan, Hongwei Ge, Yaqing Hou
2025	J	`jnl`	A correlation-guided cooperative coevolutionary method for feature selection via interaction learning-based space division. Swarm Evol. Comput. Yaqing Hou, Huiyue Sun, Gonglin Yuan, Yijing Li, Zifan Che, Hongwei Ge
2025	J	`jnl`	A modified inertial three-term conjugate gradient method for nonsmooth convex optimization and its application. J. Appl. Math. Comput. Gonglin Yuan, Huiyun Liu, Hongtruong Pham
2025	J	`jnl`	A stochastic recursive gradient algorithm with inertial extrapolation for non-convex problems and machine learning. Int. J. Mach. Learn. Cybern. Zhongyu Mo, Chen Ouyang, Hongtruong Pham, Gonglin Yuan
2025	J	`jnl`	Difference-enhanced adaptive momentum methods for non-convex stochastic optimization in image classification. Digit. Signal Process. Chen Ouyang, Ailun Jian, Xiong Zhao, Gonglin Yuan
2025	B	`conf`	Evolving Task-Specific Fine-Tuning Strategies in Transfer Learning. PRICAI Sunwei Gao, Guangyu Wang, Gonglin Yuan
2025	J	`jnl`	Integration of adaptive projection BFGS and inertial extrapolation step for nonconvex optimization problems and its application in machine learning. J. Frankl. Inst. Gonglin Yuan, Yuehan Yang, Yong Li, Xiong Zhao, Zehong Meng
2024	J	`jnl`	A modified two-parameter scaled Broyden-type algorithm for unconstrained optimization problems. J. Comput. Appl. Math. Gonglin Yuan, Zhan Wang, Pengyuan Li
2024	J	`jnl`	An accelerated descent CG algorithm with clustering the eigenvalues for large-scale nonconvex unconstrained optimization and its application in image restoration problems. J. Comput. Appl. Math. Xiaoliang Wang, Gonglin Yuan
2024	J	`jnl`	An adaptive projection BFGS method for nonconvex unconstrained optimization problems. Numer. Algorithms Gonglin Yuan, Xiong Zhao, Kejun Liu, Xiaoxuan Chen
2024	J	`jnl`	An evolutionary neural architecture search method based on performance prediction and weight inheritance. Inf. Sci. Gonglin Yuan, Bing Xue, Mengjie Zhang
2024	J	`jnl`	Biased stochastic conjugate gradient algorithm with adaptive step size for nonconvex problems. Expert Syst. Appl. Ruping Huang, Yan Qin, Kejun Liu, Gonglin Yuan
2024	J	`jnl`	Convergence and worst-case complexity of adaptive Riemannian trust-region methods for optimization on manifolds. J. Glob. Optim. Zhou Sheng, Gonglin Yuan
2024	J	`jnl`	Fast Optimization of Charged Particle Dynamics with Damping. SIAM J. Optim. Weiping Yan, Yu Tang, Gonglin Yuan
2024	J	`jnl`	Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-Based Encoding Strategy. IEEE Trans. Evol. Comput. Gonglin Yuan, Bin Wang, Bing Xue, Mengjie Zhang
2024	J	`jnl`	Stochastic three-term conjugate gradient method with variance technique for non-convex learning. Stat. Comput. Chen Ouyang, Chenkaixiang Lu, Xiong Zhao, Ruping Huang, Gonglin Yuan, Yiyan Jiang
2024	J	`jnl`	vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data. Neural Networks Nan Lin, Weifang Gao, Lian Li, Junhui Chen, Zi Liang, Gonglin Yuan, Heyang Sun, Qing Li, Jianhua Chen, Liri Jin, Yan Huang, Xiangqin Zhou, Shaobo Zhang, Peng Hu, Chaoyue Dai, Haibo He, Yisu Dong, Liying Cui, Qiang Lu
2023	J	`jnl`	A class of new three-term descent conjugate gradient algorithms for large-scale unconstrained optimization and applications to image restoration problems. Numer. Algorithms Xiaoliang Wang, Gonglin Yuan, Liping Pang
2023	A	`conf`	An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification. GECCO Gonglin Yuan, Bing Xue, Mengjie Zhang
2023	J	`jnl`	Infeasibility of constructing a special orthogonal matrix for the deterministic remote preparation of arbitrary n-qubit state. CoRR Wenjie Liu, Zixian Li, Gonglin Yuan
2022	J	`jnl`	A conjugate gradient algorithm based on double parameter scaled Broyden-Fletcher-Goldfarb-Shanno update for optimization problems and image restoration. Neural Comput. Appl. Dan Luo, Yong Li, Junyu Lu, Gonglin Yuan
2022	J	`jnl`	A modified Dai-Liao conjugate gradient method for solving unconstrained optimization and image restoration problems. J. Appl. Math. Comput. Junyu Lu, Gonglin Yuan, Zhan Wang
2022	J	`jnl`	A modified HZ conjugate gradient algorithm without gradient Lipschitz continuous condition for non convex functions. J. Appl. Math. Comput. Gonglin Yuan, Ailun Jian, Mengxiang Zhang, Jiajia Yu
2022	J	`jnl`	Adaptive scaling damped BFGS method without gradient Lipschitz continuity. Appl. Math. Lett. Gonglin Yuan, Mengxiang Zhang, Yingjie Zhou
2022	J	`jnl`	Adaptive three-term PRP algorithms without gradient Lipschitz continuity condition for nonconvex functions. Numer. Algorithms Gonglin Yuan, Heshu Yang, Mengxiang Zhang
2022	J	`jnl`	Global convergence of a nonmonotone Broyden family method for nonconvex unconstrained minimization. Comput. Appl. Math. Gonglin Yuan, Zhan Wang, Pengyuan Li
2022	J	`jnl`	The global convergence of the BFGS method with a modified WWP line search for nonconvex functions. Numer. Algorithms Gonglin Yuan, Pengyuan Li, Junyu Lu
2022	J	`jnl`	of constructing a special orthogonal matrix for the deterministic remote preparation of arbitrary n-qubit state. Quantum Inf. Comput. Wenjie Liu, Zixian Li, Gonglin Yuan
2021	—	`conf`	A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification. PRICAI (1) Gonglin Yuan, Bing Xue, Mengjie Zhang
2021	J	`jnl`	Stochastic Bigger Subspace Algorithms for Nonconvex Stochastic Optimization. IEEE Access Gonglin Yuan, Yingjie Zhou, Liping Wang, Qingyuan Yang
2021	J	`jnl`	The modified PRP conjugate gradient algorithm under a non-descent line search and its application in the Muskingum model and image restoration problems. Soft Comput. Gonglin Yuan, Junyu Lu, Zhan Wang
2020	Misc	`conf`	A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification. IVCNZ Gonglin Yuan, Bing Xue, Mengjie Zhang
2020	J	`jnl`	Family weak conjugate gradient algorithms and their convergence analysis for nonconvex functions. Numer. Algorithms Gonglin Yuan, Xiaoliang Wang, Zhou Sheng
2020	J	`jnl`	The Projection Technique for Two Open Problems of Unconstrained Optimization Problems. J. Optim. Theory Appl. Gonglin Yuan, Xiaoliang Wang, Zhou Sheng
2019	J	`jnl`	Local convergence analysis of inverse iteration algorithm for computing the H-spectral radius of a nonnegative weakly irreducible tensor. J. Comput. Appl. Math. Zhou Sheng, Qin Ni, Gonglin Yuan
2019	J	`jnl`	The Hager-Zhang conjugate gradient algorithm for large-scale nonlinear equations. Int. J. Comput. Math. Gonglin Yuan, Bopeng Wang, Zhou Sheng
2019	J	`jnl`	The global convergence of the Polak-Ribière-Polyak conjugate gradient algorithm under inexact line search for nonconvex functions. J. Comput. Appl. Math. Gonglin Yuan, Zengxin Wei, Yuning Yang
2018	—	`conf`	A Modified Dai-Yuan Conjugate Gradient Algorithm for Large-Scale Optimization Problems. ICCCS (1) Gonglin Yuan, Tingting Li
2018	—	`conf`	A Modified Wei-Yao-Liu Conjugate Gradient Algorithm for Two Type Minimization Optimization Models. ICCCS (1) Xiaoliang Wang, Wujie Hu, Gonglin Yuan
2018	J	`jnl`	An effective adaptive trust region algorithm for nonsmooth minimization. Comput. Optim. Appl. Zhou Sheng, Gonglin Yuan
2018	J	`jnl`	The global convergence of a modified BFGS method for nonconvex functions. J. Comput. Appl. Math. Gonglin Yuan, Zhou Sheng, Bopeng Wang, Wujie Hu, Chunnian Li
2017	—	`conf`	A Conjugate Gradient Algorithm with Yuan-Wei-Lu Line Search. ICCCS (2) Gonglin Yuan, Wujie Hu, Zhou Sheng
2016	J	`jnl`	A Modified Hestenes and Stiefel Conjugate Gradient Algorithm for Large-Scale Nonsmooth Minimizations and Nonlinear Equations. J. Optim. Theory Appl. Gonglin Yuan, Zehong Meng, Yong Li
2016	—	`conf`	New Conjugate Gradient Algorithms Based on New Conjugacy Condition. ICCCS (2) Gonglin Yuan, Gaohui Peng
2015	J	`jnl`	A three-terms Polak-Ribière-Polyak conjugate gradient algorithm for large-scale nonlinear equations. J. Comput. Appl. Math. Gonglin Yuan, Maojun Zhang
2015	J	`jnl`	An active-set projected trust region algorithm for box constrained optimization problems. J. Syst. Sci. Complex. Gonglin Yuan, Zengxin Wei, Maojun Zhang
2014	J	`jnl`	A modified Polak-Ribière-Polyak conjugate gradient algorithm for nonsmooth convex programs. J. Comput. Appl. Math. Gonglin Yuan, Zengxin Wei, Guoyin Li
2013	J	`jnl`	Gradient trust region algorithm with limited memory BFGS update for nonsmooth convex minimization. Comput. Optim. Appl. Gonglin Yuan, Zengxin Wei, Zhongxing Wang
2011	J	`jnl`	A BFGS trust-region method for nonlinear equations. Computing Gonglin Yuan, Zengxin Wei, Xiwen Lu
2011	J	`jnl`	A new trust-region method with line search for solving symmetric nonlinear equations. Int. J. Comput. Math. Gonglin Yuan, Sha Lu, Zengxin Wei
2011	J	`jnl`	Limited memory BFGS method with backtracking for symmetric nonlinear equations. Math. Comput. Model. Gonglin Yuan, Zengxin Wei, Sha Lu
2010	J	`jnl`	A Line Search Algorithm for Unconstrained Optimization. J. Softw. Eng. Appl. Gonglin Yuan, Sha Lu, Zengxin Wei
2010	J	`jnl`	Convergence analysis of a modified BFGS method on convex minimizations. Comput. Optim. Appl. Gonglin Yuan, Zengxin Wei
2009	J	`jnl`	A Conjugate Gradient Method for Unconstrained Optimization Problems. Int. J. Math. Math. Sci. Gonglin Yuan
2009	J	`jnl`	A Rank-One Fitting Method with Descent Direction for Solving Symmetric Nonlinear Equations. Int. J. Commun. Netw. Syst. Sci. Gonglin Yuan, Zhongxing Wang, Zengxin Wei
2009	J	`jnl`	A Trust-Region-Based BFGS Method with Line Search Technique for Symmetric Nonlinear Equations. Adv. Oper. Res. Gonglin Yuan, Shide Meng, Zengxin Wei
2009	J	`jnl`	A conjugate gradient method with descent direction for unconstrained optimization. J. Comput. Appl. Math. Gonglin Yuan, Xiwen Lu, Zengxin Wei
2009	J	`jnl`	A modified PRP conjugate gradient method. Ann. Oper. Res. Gonglin Yuan, Xiwen Lu
2009	J	`jnl`	Modified nonlinear conjugate gradient methods with sufficient descent property for large-scale optimization problems. Optim. Lett. Gonglin Yuan
2008	J	`jnl`	A new backtracking inexact BFGS method for symmetric nonlinear equations. Comput. Math. Appl. Gonglin Yuan, Xiwen Lu
2004	J	`jnl`	The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization. Comput. Optim. Appl. Zengxin Wei, Gaohang Yu, Gonglin Yuan, Zhigang Lian