Guolin Yu - RankMe

51 papers Journal 47Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A robust sparse twin SVM with ϵ -zone insensitive two-parameter pinball loss for large-scale binary classification. Appl. Soft Comput. Tiantian Jiang, Guolin Yu, Jun Ma
2026	J	`jnl`	Fast sparse supervised learning framework with BLinex loss function. Neural Networks Tiantian Jiang, Guolin Yu, Jun Ma
2025	J	`jnl`	A PRP Type Conjugate Gradient Method Without Truncation for Nonconvex Vector Optimization. J. Optim. Theory Appl. Jiawei Chen, Yushan Bai, Guolin Yu, Xiaoqing Ou, Xiaolong Qin
2025	J	`jnl`	Convergence Rate of A Unified Prediction-Correction Algorithm for Linearly Constrained Equilibrium Problems. J. Optim. Theory Appl. Xiaoqing Ou, Guolin Yu, Yue Zheng
2025	J	`jnl`	Generalized Adaptive Huber Loss Driven Robust Twin Support Vector Machine Learning Framework for Pattern Classification. Neural Process. Lett. Tiantian Jiang, Bo Wei, Guolin Yu, Jun Ma
2025	J	`jnl`	Modified Tseng's Extragradient Method for Solving Variational Inequality Problems and Fixed Point Problems with Applications in Optimal Control Problems. Axioms Yaling Bai, Guolin Yu, Linqi Sun, Shengquan Weng
2025	J	`jnl`	Optimal conditions in uncertain set-valued optimization problems via second-order subdifferential involving Minkowski difference with application to zero-sum matrix games. J. Comput. Appl. Math. Yuwen Zhai, Guolin Yu, Tian Tang, Wenyan Han
2025	J	`jnl`	Quantile pattern regression using twin extreme learning machines with smooth pinball loss. Neurocomputing Haoyu Wang, Guolin Yu, Jun Ma
2024	J	`jnl`	A novel robust adaptive subspace learning framework for dimensionality reduction. Appl. Intell. Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu
2024	J	`jnl`	A novel robust generalized eigenvalue proximal support vector machine for pattern classification. Pattern Anal. Appl. Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu
2024	J	`jnl`	An unified scalarization and Ekeland's variational principle for partial set order. Comput. Appl. Math. Wenyan Han, Guolin Yu
2024	J	`jnl`	Distribution-free Bayesian regularized learning framework for semi-supervised learning. Neural Networks Jun Ma, Guolin Yu
2024	J	`jnl`	Fast sparse twin learning framework for large-scale pattern classification. Eng. Appl. Artif. Intell. Haoyu Wang, Guolin Yu, Jun Ma
2024	J	`jnl`	Higher-Order Radial Hadamard Directional Derivatives and Applications to Set-Valued Equilibrium Problems. Asia Pac. J. Oper. Res. Tian Tang, Guolin Yu
2024	J	`jnl`	Higher-order optimality conditions with separated derivatives and sensitivity analysis for set-valued optimization. RAIRO Oper. Res. Tian Tang, Guolin Yu
2024	J	`jnl`	Optimality and error bound for set optimization with application to uncertain multi-objective programming. J. Glob. Optim. Wenyan Han, Guolin Yu
2024	J	`jnl`	Robust adaptive learning framework for semi-supervised pattern classification. Signal Process. Jun Ma, Guolin Yu
2024	J	`jnl`	Sparse robust adaptive unsupervised subspace learning for dimensionality reduction. Eng. Appl. Artif. Intell. Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu
2024	J	`jnl`	Strict Vector Equilibrium Problems of Multi-Product Supply-Demand Networks with Capacity Constraints and Uncertain Demands. Axioms Ru Li, Guolin Yu
2023	J	`jnl`	A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification. Axioms Bao Ma, Jun Ma, Guolin Yu
2023	J	`jnl`	A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition. Signal Process. Jun Ma, Guolin Yu
2023	J	`jnl`	Capped L2, p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss. Symmetry Haoyu Wang, Guolin Yu, Jun Ma
2023	J	`jnl`	Characterizations of multi-objective robustness solutions defined by Minkowski set difference. OR Spectr. Wenyan Han, Guolin Yu
2023	J	`jnl`	Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification. Axioms Yimeng Jiang, Guolin Yu, Jun Ma
2023	J	`jnl`	Hessian scatter regularized twin support vector machine for semi-supervised classification. Eng. Appl. Artif. Intell. Guolin Yu, Jun Ma, Chenzhen Xie
2023	J	`jnl`	Optimality Conditions of the Approximate Efficiency for Nonsmooth Robust Multiobjective Fractional Semi-Infinite Optimization Problems. Axioms Liu Gao, Guolin Yu, Wenyan Han
2023	J	`jnl`	Safe semi-supervised learning for pattern classification. Eng. Appl. Artif. Intell. Jun Ma, Guolin Yu, Weizhi Xiong, Xiaolong Zhu
2022	J	`jnl`	Capped Linex Metric Twin Support Vector Machine for Robust Classification. Sensors Yifan Wang, Guolin Yu, Jun Ma
2022	J	`jnl`	Error Bounds for Inverse Mixed Quasi-Variational Inequality via Generalized Residual Gap Functions. Asia Pac. J. Oper. Res. Yinfeng Zhang, Guolin Yu
2022	J	`jnl`	Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification. Symmetry Jun Ma, Guolin Yu
2022	J	`jnl`	Optimality of Approximate Quasi-Weakly Efficient Solutions for Vector Equilibrium Problems via Convexificators. Asia Pac. J. Oper. Res. Guolin Yu, Siqi Li, Xiao Pan, Wenyan Han
2022	J	`jnl`	Regularized twin minimax probability machine for pattern classification and regression. Eng. Appl. Artif. Intell. Jun Ma, Guolin Yu
2021	J	`jnl`	Strong duality for standard convex programs. Math. Methods Oper. Res. Kenneth O. Kortanek, Guolin Yu, Qinghong Zhang
2020	J	`jnl`	Optimality Conditions and Scalarization of Approximate Quasi Weak Efficient Solutions for Vector Equilibrium Problem. Complex. Yameng Zhang, Guolin Yu, Wenyan Han
2020	J	`jnl`	Optimality Conditions for a Nonsmooth Uncertain Multiobjective Programming Problem. Complex. Wenyan Han, Guolin Yu, Tiantian Gong
2018	J	`jnl`	ARAe-SOM+BCO: An enhanced artificial raindrop algorithm using self-organizing map and binomial crossover operator. Neurocomputing Qiaoyong Jiang, Lei Wang, Xinhong Hei, Jiatang Cheng, Xiaofeng Lu, Yanyan Lin, Guolin Yu
2017	J	`jnl`	An efficient multi-objective artificial raindrop algorithm and its application to dynamic optimization problems in chemical processes. Appl. Soft Comput. Qiaoyong Jiang, Lei Wang, Yanyan Lin, Xinhong Hei, Guolin Yu, Xiaofeng Lu
2017	J	`jnl`	Multi-objective differential evolution with dynamic covariance matrix learning for multi-objective optimization problems with variable linkages. Knowl. Based Syst. Qiaoyong Jiang, Lei Wang, Jiatang Cheng, Xiaoshu Zhu, Wei Li, Yanyan Lin, Guolin Yu, Xinhong Hei, Jinwei Zhao, Xiaofeng Lu
2016	J	`jnl`	MOEA/D-ARA+SBX: A new multi-objective evolutionary algorithm based on decomposition with artificial raindrop algorithm and simulated binary crossover. Knowl. Based Syst. Qiaoyong Jiang, Lei Wang, Xinhong Hei, Guolin Yu, Yanyan Lin, Xiaofeng Lu
2016	J	`jnl`	The performance comparison of a new version of artificial raindrop algorithm on global numerical optimization. Neurocomputing Qiaoyong Jiang, Lei Wang, Xinhong Hei, Guolin Yu, Yanyan Lin
2014	J	`jnl`	Henig globally efficiency for set-valued optimization and vector variational inequality. J. Syst. Sci. Complex. Guolin Yu
2013	J	`jnl`	Optimality of Global Proper Efficiency for cone-Arcwise Connected Set-Valued Optimization using Contingent Epiderivative. Asia Pac. J. Oper. Res. Guolin Yu
2012	J	`jnl`	Duality of (h, φ)-Multiobjective Programming Involving Generalized Invex Functions. J. Appl. Math. Guolin Yu
2012	—	`conf`	Henig Proper Efficiency for Set-valued Optimization and Vector Variational Inequality. CSO Guolin Yu
2012	J	`jnl`	Higher-Order Weakly Generalized Epiderivatives and Applications to Optimality Conditions. J. Appl. Math. Qi-Lin Wang, Guolin Yu
2012	J	`jnl`	Optimality of E-pseudoconvex multi-objective programming problems without constraint qualifications. Optim. Lett. Guolin Yu, Yangyang Lu, Yan Jiang
2012	—	`conf`	Optimality of Globally Proper Effcient Solutions in Set-valued Optimization Involving Directional Derivatives. CSO Guolin Yu
2009	—	`conf`	Generalized Gradients in Sense of Henig Efficiency for Set-Valued Maps. CSO (2) Guolin Yu
2009	—	`conf`	Vector Optimization Involving Preinvex Functions in Banach Spaces. CSO (2) Guolin Yu
2008	J	`jnl`	Optimality for ( J. Glob. Optim. Guolin Yu, Sanyang Liu
2007	J	`jnl`	Some vector optimization problems in Banach spaces with generalized convexity. Comput. Math. Appl. Guolin Yu, Sanyang Liu