Ya-Xiang Yuan - RankMe

84 papers A* 1A 1Journal 82

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A new two-dimensional model-based subspace method for large-scale unconstrained derivative-free optimization: Optim. Methods Softw. Pengcheng Xie, Ya-Xiang Yuan
2026	J	`jnl`	Quotient geometry of tensor ring decomposition. CoRR Bin Gao, Renfeng Peng, Ya-Xiang Yuan
2026	J	`jnl`	Symplectic discretization approach for developing new proximal point algorithm. Comput. Optim. Appl. Ya-Xiang Yuan, Yi Zhang
2025	J	`jnl`	A Derivative-Free Method Using a New Underdetermined Quadratic Interpolation Model. SIAM J. Optim. Pengcheng Xie, Ya-Xiang Yuan
2025	J	`jnl`	A momentum accelerated stochastic method and its application on policy search problems. Neural Comput. Appl. Boou Jiang, Ya-Xiang Yuan
2025	J	`jnl`	A space-decoupling framework for optimization on bounded-rank matrices with orthogonally invariant constraints. CoRR Yan Yang, Bin Gao, Ya-Xiang Yuan
2025	J	`jnl`	Adaptive cyclic gradient methods with interpolation. Comput. Optim. Appl. Yixin Xie, Cong Sun, Ya-Xiang Yuan
2025	A	`conf`	Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity. AISTATS Yan Yang, Bin Gao, Ya-Xiang Yuan
2025	J	`jnl`	Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization. CoRR Bowen Li, Ya-Xiang Yuan
2025	A*	`conf`	LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace. ICLR Yan Yang, Bin Gao, Ya-Xiang Yuan
2025	J	`jnl`	Low-rank optimization on Tucker tensor varieties. Math. Program. Bin Gao, Renfeng Peng, Ya-Xiang Yuan
2025	J	`jnl`	Normalized tensor train decomposition. CoRR Renfeng Peng, Chengkai Zhu, Bin Gao, Xin Wang, Ya-Xiang Yuan
2025	J	`jnl`	Optimization on Product Manifolds under a Preconditioned Metric. SIAM J. Matrix Anal. Appl. Bin Gao, Renfeng Peng, Ya-Xiang Yuan
2025	J	`jnl`	Revisiting Nesterov's acceleration via high-resolution differential equations. J. Glob. Optim. Shuo Chen, Bin Shi, Ya-Xiang Yuan
2025	J	`jnl`	Variational analysis of determinantal varieties. CoRR Yan Yang, Bin Gao, Ya-Xiang Yuan
2024	J	`jnl`	Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity. CoRR Yan Yang, Bin Gao, Ya-Xiang Yuan
2024	J	`jnl`	Finite Convergence of Moment-SOS Relaxations with Nonreal Radical Ideals. SIAM J. Optim. Lei Huang, Jiawang Nie, Ya-Xiang Yuan
2024	J	`jnl`	LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace. CoRR Bin Gao, Yan Yang, Ya-Xiang Yuan
2024	J	`jnl`	Linear Convergence of Forward-Backward Accelerated Algorithms without Knowledge of the Modulus of Strong Convexity. SIAM J. Optim. Bowen Li, Bin Shi, Ya-Xiang Yuan
2023	J	`jnl`	Generalized Truncated Moment Problems with Unbounded Sets. J. Sci. Comput. Lei Huang, Jiawang Nie, Ya-Xiang Yuan
2023	J	`jnl`	Homogenization for polynomial optimization with unbounded sets. Math. Program. Lei Huang, Jiawang Nie, Ya-Xiang Yuan
2023	J	`jnl`	Linear convergence of Nesterov-1983 with the strong convexity. CoRR Bowen Li, Bin Shi, Ya-Xiang Yuan
2023	J	`jnl`	Low-rank optimization on Tucker tensor varieties. CoRR Bin Gao, Renfeng Peng, Ya-Xiang Yuan
2023	J	`jnl`	On Underdamped Nesterov's Acceleration. CoRR Shuo Chen, Bin Shi, Ya-Xiang Yuan
2023	J	`jnl`	Optimization on product manifolds under a preconditioned metric. CoRR Bin Gao, Renfeng Peng, Ya-Xiang Yuan
2023	J	`jnl`	Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition. CoRR Bin Gao, Renfeng Peng, Ya-Xiang Yuan
2022	J	`jnl`	A class of smooth exact penalty function methods for optimization problems with orthogonality constraints. Optim. Methods Softw. Nachuan Xiao, Xin Liu, Ya-Xiang Yuan
2022	J	`jnl`	Generalized truncated moment problems with unbounded sets. CoRR Lei Huang, Jiawang Nie, Ya-Xiang Yuan
2022	J	`jnl`	Gradient Norm Minimization of Nesterov Acceleration: o(1/k CoRR Shuo Chen, Bin Shi, Ya-Xiang Yuan
2022	J	`jnl`	Linear Convergence of ISTA and FISTA. CoRR Bowen Li, Bin Shi, Ya-Xiang Yuan
2022	J	`jnl`	Proximal Subgradient Norm Minimization of ISTA and FISTA. CoRR Bowen Li, Bin Shi, Ya-Xiang Yuan
2022	J	`jnl`	Revisiting the acceleration phenomenon via high-resolution differential equations. CoRR Shuo Chen, Bin Shi, Ya-Xiang Yuan
2022	J	`jnl`	Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation. CoRR Liyuan Cao, Zaiwen Wen, Ya-Xiang Yuan
2021	J	`jnl`	Exact Penalty Function for ℓ SIAM J. Optim. Nachuan Xiao, Xin Liu, Ya-Xiang Yuan
2020	J	`jnl`	Low-Rank Matrix Iteration Using Polynomial-Filtered Subspace Extraction. SIAM J. Sci. Comput. Yongfeng Li, Haoyang Liu, Zaiwen Wen, Ya-Xiang Yuan
2019	J	`jnl`	A subspace SQP method for equality constrained optimization. Comput. Optim. Appl. Jae Hwa Lee, Yoon Mo Jung, Ya-Xiang Yuan, Sangwoon Yun
2019	J	`jnl`	Parallelizable Algorithms for Optimization Problems with Orthogonality Constraints. SIAM J. Sci. Comput. Bin Gao, Xin Liu, Ya-Xiang Yuan
2019	J	`jnl`	Stochastic proximal quasi-Newton methods for non-convex composite optimization. Optim. Methods Softw. Xiaoyu Wang, Xiao Wang, Ya-Xiang Yuan
2019	J	`jnl`	Structured Quasi-Newton Methods for Optimization with Orthogonality Constraints. SIAM J. Sci. Comput. Jiang Hu, Bo Jiang, Lin Lin, Zaiwen Wen, Ya-Xiang Yuan
2018	J	`jnl`	A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints. SIAM J. Optim. Bin Gao, Xin Liu, Xiaojun Chen, Ya-Xiang Yuan
2018	J	`jnl`	A SemiSmooth Newton Method for Semidefinite Programs and its Applications in Electronic Structure Calculations. SIAM J. Sci. Comput. Yongfeng Li, Zaiwen Wen, Chao Yang, Ya-Xiang Yuan
2017	J	`jnl`	On efficiently combining limited-memory and trust-region techniques. Math. Program. Comput. Oleg Burdakov, Lujin Gong, Spartak Zikrin, Ya-Xiang Yuan
2017	J	`jnl`	Penalty methods with stochastic approximation for stochastic nonlinear programming. Math. Comput. Xiao Wang, Shiqian Ma, Ya-Xiang Yuan
2017	J	`jnl`	Theory and application of p-regularized subproblems for p>2. Optim. Methods Softw. Yong Hsia, Ruey-Lin Sheu, Ya-Xiang Yuan
2016	J	`jnl`	Nonlinear Stepsize Control Algorithms: Complexity Bounds for First- and Second-Order Optimality. J. Optim. Theory Appl. Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan
2016	J	`jnl`	On the worst-case complexity of nonlinear stepsize control algorithms for convex unconstrained optimization. Optim. Methods Softw. Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan
2016	J	`jnl`	Sum Rate Maximization for Non-Regenerative MIMO Relay Networks. IEEE Trans. Signal Process. Cong Sun, Eduard Axel Jorswieck, Ya-Xiang Yuan
2015	J	`jnl`	Obituary for Mike Powell. Optim. Methods Softw. Coralia Cartis, Andreas Griewank, Philippe L. Toint, Ya-Xiang Yuan
2015	J	`jnl`	On the convergence and worst-case complexity of trust-region and regularization methods for unconstrained optimization. Math. Program. Geovani Nunes Grapiglia, Jin Yun Yuan, Ya-Xiang Yuan
2015	J	`jnl`	Recent advances in trust region algorithms. Math. Program. Ya-Xiang Yuan
2014	J	`jnl`	Foreword. Optim. Methods Softw. Xiaoling Sun, Ya-Xiang Yuan
2014	J	`jnl`	On the Convergence of the Self-Consistent Field Iteration in Kohn-Sham Density Functional Theory. SIAM J. Matrix Anal. Appl. Xin Liu, Xiao Wang, Zaiwen Wen, Ya-Xiang Yuan
2013	J	`jnl`	A trust region method based on a new affine scaling technique for simple bounded optimization. Optim. Methods Softw. Xiao Wang, Ya-Xiang Yuan
2013	J	`jnl`	Foreword: Special issue on the 8th International Conference on Optimization: Techniques and Applications. Optim. Methods Softw. Jie Sun, Xiaoling Sun, Ya-Xiang Yuan
2013	J	`jnl`	Stability and Allocation in a Three-Player Game. Asia Pac. J. Oper. Res. Leqin Wu, Xin Chen, Ye Lu, Ya-Xiang Yuan
2010	J	`jnl`	A short note on the Q-linear convergence of the steepest descent method. Math. Program. Ya-Xiang Yuan
2010	J	`jnl`	Modeling and Algorithms of GPS Data Reduction for the Qinghai-Tibet Railway. IEEE Trans. Intell. Transp. Syst. Dewang Chen, Yun-Shan Fu, Baigen Cai, Ya-Xiang Yuan
2008	J	`jnl`	An interior-point trust-region polynomial algorithm for convex quadratic minimization subject to general convex constraints. Optim. Methods Softw. Ye Lu, Ya-Xiang Yuan
2008	J	`jnl`	Preface. Optim. Methods Softw. Philippe L. Toint, Ya-Xiang Yuan
2007	J	`jnl`	An Interior-Point Trust-Region Algorithm for General Symmetric Cone Programming. SIAM J. Optim. Ye Lu, Ya-Xiang Yuan
2006	J	`jnl`	A new linearization method for quadratic assignment problems. Optim. Methods Softw. Yong Xia, Ya-Xiang Yuan
2006	J	`jnl`	A subspace implementation of quasi-Newton trust region methods for unconstrained optimization. Numerische Mathematik Zhouhong Wang, Ya-Xiang Yuan
2005	J	`jnl`	On the Quadratic Convergence of the Levenberg-Marquardt Method without Nonsingularity Assumption. Computing Jinyan Fan, Ya-Xiang Yuan
2003	J	`jnl`	Foreword. Optim. Methods Softw. Masao Fukushima, Ya-Xiang Yuan
2002	J	`jnl`	Modified Two-Point Stepsize Gradient Methods for Unconstrained Optimization. Comput. Optim. Appl. Yu-Hong Dai, Jin Yun Yuan, Ya-Xiang Yuan
2001	J	`jnl`	A Conic Trust-Region Method for Nonlinearly Constrained Optimization. Ann. Oper. Res. Wenyu Sun, Ya-Xiang Yuan
2001	J	`jnl`	A Predictor-Corrector Algorithm for QSDP Combining Dikin-Type and Newton Centering Steps. Ann. Oper. Res. Jiawang Nie, Ya-Xiang Yuan
2001	J	`jnl`	A three-parameter family of nonlinear conjugate gradient methods. Math. Comput. Yu-Hong Dai, Ya-Xiang Yuan
2001	J	`jnl`	An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimization. Ann. Oper. Res. Y. H. Dai, Ya-Xiang Yuan
2000	J	`jnl`	Convergence Properties of Nonlinear Conjugate Gradient Methods. SIAM J. Optim. Yu-Hong Dai, JiYe Han, Guanghui Liu, Defeng Sun, Hongxia Yin, Ya-Xiang Yuan
2000	J	`jnl`	On Local Solutions of the Celis--Dennis--Tapia Subproblem. SIAM J. Optim. Xiongda Chen, Ya-Xiang Yuan
2000	J	`jnl`	On the truncated conjugate gradient method. Math. Program. Ya-Xiang Yuan
1999	J	`jnl`	A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property. SIAM J. Optim. Y. H. Dai, Ya-Xiang Yuan
1999	J	`jnl`	A note on quadratic forms. Math. Program. Xin Chen, Ya-Xiang Yuan
1999	J	`jnl`	Global convergence of the method of shortest residuals. Numerische Mathematik Yu-Hong Dai, Ya-Xiang Yuan
1997	J	`jnl`	A subspace limited memory quasi-Newton algorithm for large-scale nonlinear bound constrained optimization. Math. Comput. Q. Ni, Ya-Xiang Yuan
1997	J	`jnl`	Optimality Conditions for the Minimization of a Quadratic with Two Quadratic Constraints. SIAM J. Optim. Ji-Ming Peng, Ya-Xiang Yuan
1993	J	`jnl`	Analysis of a self-scaling quasi-Newton method. Math. Program. Jorge Nocedal, Ya-Xiang Yuan
1991	J	`jnl`	A trust region algorithm for equality constrained optimization. Math. Program. M. J. D. Powell, Ya-Xiang Yuan
1990	J	`jnl`	On a Subproblem of Trust Region Algorithms for Constrained Optimization. Math. Program. Ya-Xiang Yuan
1986	J	`jnl`	A recursive quadratic programming algorithm that uses differentiable exact penalty functions. Math. Program. M. J. D. Powell, Ya-Xiang Yuan
1985	J	`jnl`	An only 2-step Q-superlinear convergence example for some algorithms that use reduced hessian approximations. Math. Program. Ya-Xiang Yuan
1985	J	`jnl`	Conditions for convergence of trust region algorithms for nonsmooth optimization. Math. Program. Ya-Xiang Yuan
1985	J	`jnl`	On the superlinear convergence of a trust region algorithm for nonsmooth optimization. Math. Program. Ya-Xiang Yuan