Yu-Hong Dai - RankMe

128 papers A 1Misc 7Journal 117Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	New restricted isometry properties of constrained and unconstrained L Comput. Optim. Appl. Yan Li, Yu-Hong Dai, Liping Zhang
2025	J	`jnl`	A limited memory subspace minimization conjugate gradient algorithm for unconstrained optimization. Optim. Lett. Zexian Liu, Yu-Hong Dai, Hongwei Liu
2025	J	`jnl`	Benders decomposition for the large-scale probabilistic set covering problem. Comput. Oper. Res. Jie Liang, Cheng-Yang Yu, Wei Lv, Wei-Kun Chen, Yu-Hong Dai
2025	J	`jnl`	Chebyshev accelerated parameterized AOR method for time-periodic parabolic optimal control problems. Comput. Appl. Math. Cheng-Liang Li, Na Huang, Yu-Hong Dai
2025	J	`jnl`	Preprocessing and valid inequalities for exact detection of critical nodes via integer programming. Comput. Optim. Appl. Sheng-Jie Chen, Liang Chen, Guang-Ming Li, Yu-Hong Dai
2025	J	`jnl`	Presolving and cutting planes for the generalized maximal covering location problem. Eur. J. Oper. Res. Wei Lv, Cheng-Yang Yu, Jie Liang, Wei-Kun Chen, Yu-Hong Dai
2025	J	`jnl`	QoS-Aware and Routing-Flexible Network Slicing for Service-Oriented Networks. IEEE Trans. Netw. Serv. Manag. Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2025	J	`jnl`	Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection. CoRR Quan Yu, Yu-Hong Dai, Minru Bai
2025	J	`jnl`	Valid inequalities for the β-edge disruptor problem. J. Comb. Optim. Sheng-Jie Chen, Guang-Ming Li, Liang Chen, Caixia Kou, Yu-Hong Dai
2024	J	`jnl`	A cut-and-solve algorithm for virtual machine consolidation problem. Future Gener. Comput. Syst. Jiang-Yao Luo, Liang Chen, Weikun Chen, Jian-Hua Yuan, Yu-Hong Dai
2024	J	`jnl`	An Efficient Benders Decomposition Approach for Optimal Large-Scale Network Slicing. IEEE Trans. Signal Process. Wei-Kun Chen, Zheyu Wu, Rui-Jin Zhang, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2024	J	`jnl`	An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems. CoRR Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2024	J	`jnl`	Efficient CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems With PSK Modulation. IEEE Trans. Wirel. Commun. Zheyu Wu, Bo Jiang, Ya-Feng Liu, Mingjie Shao, Yu-Hong Dai
2024	J	`jnl`	IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming. Comput. Optim. Appl. Rui-Jin Zhang, Xin-Wei Liu, Yu-Hong Dai
2024	J	`jnl`	Optimality Conditions and Numerical Algorithms for a Class of Linearly Constrained Minimax Optimization Problems. SIAM J. Optim. Yu-Hong Dai, Jiani Wang, Liwei Zhang
2024	J	`jnl`	QoS-Aware and Routing-Flexible Network Slicing for Service-Oriented Networks. CoRR Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2024	J	`jnl`	Robust enhanced indexation optimization with sparse industry layout constraint. Comput. Oper. Res. Zhihua Allen-Zhao, Fengmin Xu, Yu-Hong Dai, Sanyang Liu
2023	J	`jnl`	A Family of Distributed Momentum Methods Over Directed Graphs With Linear Convergence. IEEE Trans. Autom. Control. Juan Gao, Xinwei Liu, Yu-Hong Dai, Yakui Huang, Peng Yang
2023	J	`jnl`	Alternating direction method of multipliers for linear hyperspectral unmixing. Math. Methods Oper. Res. Yu-Hong Dai, Fangfang Xu, Liwei Zhang
2023	—	`conf`	An Efficient Decomposition Algorithm for Large-Scale Network Slicing. SPAWC Wei-Kun Chen, Ya-Feng Liu, Rui-Jin Zhang, Yu-Hong Dai, Zhi-Quan Luo
2023	J	`jnl`	An Efficient Decomposition Algorithm for Large-Scale Network Slicing. CoRR Wei-Kun Chen, Ya-Feng Liu, Rui-Jin Zhang, Yu-Hong Dai, Zhi-Quan Luo
2023	J	`jnl`	Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization. Comput. Optim. Appl. Juan Gao, Xinwei Liu, Yu-Hong Dai, Yakui Huang, Junhua Gu
2023	Misc	`conf`	Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems. ICASSP Zheyu Wu, Ya-Feng Liu, Bo Jiang, Yu-Hong Dai
2023	J	`jnl`	Efficient presolving methods for solving maximal covering and partial set covering location problems. Eur. J. Oper. Res. Liang Chen, Sheng-Jie Chen, Weikun Chen, Yu-Hong Dai, Tao Quan, Juan Chen
2023	J	`jnl`	Efficient presolving methods for the influence maximization problem. Networks Sheng-Jie Chen, Weikun Chen, Yu-Hong Dai, Jian-Hua Yuan, Houshan Zhang
2023	J	`jnl`	Greedy PSB methods with explicit superlinear convergence. Comput. Optim. Appl. Zhen-Yuan Ji, Yu-Hong Dai
2023	J	`jnl`	IPRQP: a primal-dual interior-point relaxation algorithm for convex quadratic programming. J. Glob. Optim. Rui-Jin Zhang, Xin-Wei Liu, Yu-Hong Dai
2023	J	`jnl`	Lifting for the integer knapsack cover polyhedron. J. Glob. Optim. Wei-Kun Chen, Liang Chen, Yu-Hong Dai
2023	J	`jnl`	Multiobjective optimization with least constraint violation: optimality conditions and exact penalization. J. Glob. Optim. Jiawei Chen, Yu-Hong Dai
2023	J	`jnl`	New insights and augmented Lagrangian algorithm for optimal portfolio liquidation with market impact. Int. Trans. Oper. Res. Fengmin Xu, Xuepeng Li, Yu-Hong Dai, Meihua Wang
2023	J	`jnl`	On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems. SIAM J. Sci. Comput. Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2023	J	`jnl`	Properties of semi-conjugate gradient methods for solving unsymmetric positive definite linear systems. Optim. Methods Softw. Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2023	J	`jnl`	The augmented Lagrangian method can approximately solve convex optimization with least constraint violation. Math. Program. Yu-Hong Dai, Liwei Zhang
2023	J	`jnl`	Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach. IEEE Trans. Signal Process. Weikun Chen, Ya-Feng Liu, Fan Liu, Yu-Hong Dai, Zhi-Quan Luo
2023	J	`jnl`	Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems. J. Mach. Learn. Res. Zi Xu, Ziqi Wang, Jun-Lin Wang, Yu-Hong Dai
2022	J	`jnl`	A Cut-and-solve Algorithm for Virtual Machine Consolidation Problem. CoRR Jiang-Yao Luo, Liang Chen, Wei-Kun Chen, Jian-Hua Yuan, Yu-Hong Dai
2022	Misc	`conf`	A Novel Negative ℓ1 Penalty Approach for Multiuser One-Bit Massive MIMO Downlink with PSK Signaling. ICASSP Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai
2022	J	`jnl`	A novel augmented Lagrangian method of multipliers for optimization with general inequality constraints. Math. Comput. Xinwei Liu, Yu-Hong Dai, Yakui Huang, Jie Sun
2022	J	`jnl`	A primal-dual interior-point relaxation method with global and rapidly local convergence for nonlinear programs. Math. Methods Oper. Res. Xin-Wei Liu, Yu-Hong Dai, Yakui Huang
2022	J	`jnl`	A semi-conjugate gradient method for solving unsymmetric positive definite linear systems. CoRR Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2022	J	`jnl`	Achieving geometric convergence for distributed optimization with Barzilai-Borwein step sizes. Sci. China Inf. Sci. Juan Gao, Xin-Wei Liu, Yu-Hong Dai, Yakui Huang, Peng Yang
2022	J	`jnl`	Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems. CoRR Zheyu Wu, Ya-Feng Liu, Bo Jiang, Yu-Hong Dai
2022	J	`jnl`	On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems. CoRR Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2022	J	`jnl`	On the Asymptotic Convergence and Acceleration of Gradient Methods. J. Sci. Comput. Yakui Huang, Yu-Hong Dai, Xinwei Liu, Hongchao Zhang
2022	J	`jnl`	On the acceleration of the Barzilai-Borwein method. Comput. Optim. Appl. Yakui Huang, Yu-Hong Dai, Xin-Wei Liu, Hongchao Zhang
2022	Misc	`conf`	Optimal Qos-Aware Network Slicing for Service-Oriented Networks with Flexible Routing. ICASSP Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2022	J	`jnl`	Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints. CoRR Huiling Zhang, Jun-Lin Wang, Zi Xu, Yu-Hong Dai
2022	J	`jnl`	Sufficient conditions for existence of global minimizers of functions on Hilbert spaces. J. Glob. Optim. Liang Chen, Yu-Hong Dai, Zhou Wei
2022	J	`jnl`	Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class of Nonconvex-Nonconcave Minimax Problems. CoRR Zi Xu, Ziqi Wang, Jun-Lin Wang, Yu-Hong Dai
2021	J	`jnl`	A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes. IEEE Trans. Neural Networks Learn. Syst. Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun
2021	J	`jnl`	A Novel Negative 𝓁 CoRR Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai
2021	Misc	`conf`	An Efficient Linear Programming Rounding-and-Refinement Algorithm for Large-Scale Network Slicing Problem. ICASSP Weikun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2021	J	`jnl`	An efficient linear programming rounding-and-refinement algorithm for large-scale network slicing problem. CoRR Weikun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2021	J	`jnl`	An exact separation algorithm for unsplittable flow capacitated network design arc-set polyhedron. J. Glob. Optim. Liang Chen, Weikun Chen, Mu-Ming Yang, Yu-Hong Dai
2021	J	`jnl`	CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative 𝓁 CoRR Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai
2021	J	`jnl`	Equipping the Barzilai-Borwein Method with the Two Dimensional Quadratic Termination Property. SIAM J. Optim. Yakui Huang, Yu-Hong Dai, Xinwei Liu
2021	J	`jnl`	On some extended mixed integer optimization models of the Eisenberg-Noe model in systemic risk management. Int. Trans. Oper. Res. Zhi-Long Dong, Jiming Peng, Fengmin Xu, Yu-Hong Dai
2021	J	`jnl`	Optimal Network Slicing for Service-Oriented Networks With Flexible Routing and Guaranteed E2E Latency. IEEE Trans. Netw. Serv. Manag. Weikun Chen, Ya-Feng Liu, Antonio De Domenico, Zhi-Quan Luo, Yu-Hong Dai
2021	J	`jnl`	Optimal QoS-Aware Network Slicing for Service-Oriented Networks with Flexible Routing. CoRR Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2021	J	`jnl`	Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions. Math. Oper. Res. Hui Zhang, Yu-Hong Dai, Lei Guo, Wei Peng
2021	J	`jnl`	Stochastic Variance Reduced Gradient Methods Using a Trust-Region-Like Scheme. J. Sci. Comput. Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun
2021	J	`jnl`	Towards Efficient Large-Scale Network Slicing: An LP Rounding-and-Refinement Approach. CoRR Wei-Kun Chen, Ya-Feng Liu, Fan Liu, Yu-Hong Dai, Zhi-Quan Luo
2020	J	`jnl`	A globally convergent primal-dual interior-point relaxation method for nonlinear programs. Math. Comput. Xinwei Liu, Yu-Hong Dai
2020	J	`jnl`	A penalty-free method with superlinear convergence for equality constrained optimization. Comput. Optim. Appl. Zhongwen Chen, Yu-Hong Dai, Jiangyan Liu
2020	J	`jnl`	A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize. CoRR Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun
2020	J	`jnl`	An improved Dai-Kou conjugate gradient algorithm for unconstrained optimization. Comput. Optim. Appl. Zexian Liu, Hongwei Liu, Yu-Hong Dai
2020	J	`jnl`	Distributed LCMV beamformer design by randomly permuted ADMM. Digit. Signal Process. Zhibao Li, Ka Fai Cedric Yiu, Yu-Hong Dai, Sven Nordholm
2020	J	`jnl`	Fast algorithms for sparse portfolio selection considering industries and investment styles. J. Glob. Optim. Zhi-Long Dong, Fengmin Xu, Yu-Hong Dai
2020	J	`jnl`	Gradient methods exploiting spectral properties. Optim. Methods Softw. Yakui Huang, Yu-Hong Dai, Xinwei Liu, Hongchao Zhang
2020	J	`jnl`	On the existence of affine invariant descent directions. Optim. Methods Softw. Yu-Hong Dai, Florian Jarre, Felix Lieder
2020	J	`jnl`	Optimal Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency. CoRR Weikun Chen, Ya-Feng Liu, Antonio De Domenico, Zhi-Quan Luo, Yu-Hong Dai
2020	J	`jnl`	Preface. Optim. Methods Softw. Yu-Hong Dai, Xin Liu, Jiawang Nie, Zaiwen Wen
2020	J	`jnl`	Training GANs with centripetal acceleration. Optim. Methods Softw. Wei Peng, Yu-Hong Dai, Hui Zhang, Lizhi Cheng
2019	J	`jnl`	A family of spectral gradient methods for optimization. Comput. Optim. Appl. Yu-Hong Dai, Yakui Huang, Xinwei Liu
2019	J	`jnl`	Alternating projection method for a class of tensor equations. J. Comput. Appl. Math. Zhibao Li, Yu-Hong Dai, Huan Gao
2019	J	`jnl`	Uzawa methods for a class of block three-by-three saddle-point problems. Numer. Linear Algebra Appl. Na Huang, Yu-Hong Dai, Qiya Hu
2018	J	`jnl`	A sparse enhanced indexation model with chance and cardinality constraints. J. Glob. Optim. Fengmin Xu, Meihua Wang, Yu-Hong Dai, Dachuan Xu
2018	J	`jnl`	Generalized coefficient strengthening cuts for mixed integer programming. J. Glob. Optim. Weikun Chen, Liang Chen, Mu-Ming Yang, Yu-Hong Dai
2018	J	`jnl`	Gradient-based method with active set strategy for ℓ Math. Comput. Wanyou Cheng, Yu-Hong Dai
2017	J	`jnl`	A New Fully Polynomial Time Approximation Scheme for the Interval Subset Sum Problem. CoRR Rui Diao, Ya-Feng Liu, Yu-Hong Dai
2017	J	`jnl`	A new fully polynomial time approximation scheme for the interval subset sum problem. J. Glob. Optim. Rui Diao, Ya-Feng Liu, Yu-Hong Dai
2016	J	`jnl`	A line search exact penalty method with bi-object strategy for nonlinear constrained optimization. J. Comput. Appl. Math. Zhongwen Chen, Yu-Hong Dai
2016	J	`jnl`	A smoothing SQP framework for a class of composite L Math. Program. Ya-Feng Liu, Shiqian Ma, Yu-Hong Dai, Shuzhong Zhang
2016	—	`conf`	Barzilai-Borwein Step Size for Stochastic Gradient Descent. NIPS Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian
2016	J	`jnl`	Barzilai-Borwein Step Size for Stochastic Gradient Descent. CoRR Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian
2015	J	`jnl`	A Modified Self-Scaling Memoryless Broyden-Fletcher-Goldfarb-Shanno Method for Unconstrained Optimization. J. Optim. Theory Appl. Cai-Xia Kou, Yu-Hong Dai
2015	J	`jnl`	A framework of constraint preserving update schemes for optimization on Stiefel manifold. Math. Program. Bo Jiang, Yu-Hong Dai
2015	J	`jnl`	A sequential subspace projection method for extreme Z-eigenvalues of supersymmetric tensors. Numer. Linear Algebra Appl. Chun-Lin Hao, Chun-Feng Cui, Yu-Hong Dai
2015	J	`jnl`	Joint Power and Admission Control: Non-Convex L IEEE Trans. Signal Process. Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma
2014	J	`jnl`	All Real Eigenvalues of Symmetric Tensors. SIAM J. Matrix Anal. Appl. Chun-Feng Cui, Yu-Hong Dai, Jiawang Nie
2014	J	`jnl`	On the Complexity of Joint Subcarrier and Power Allocation for Multi-User OFDMA Systems. IEEE Trans. Signal Process. Ya-Feng Liu, Yu-Hong Dai
2014	J	`jnl`	Projected gradient algorithms for optimization over order simplices. Optim. Methods Softw. Yi-Qing Hu, Chun-Lin Hao, Yu-Hong Dai
2013	J	`jnl`	A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search. SIAM J. Optim. Yu-Hong Dai, Cai-Xia Kou
2013	J	`jnl`	A perfect example for the BFGS method. Math. Program. Yu-Hong Dai
2013	J	`jnl`	Feasible Barzilai-Borwein-like methods for extreme symmetric eigenvalue problems. Optim. Methods Softw. Bo Jiang, Yu-Hong Dai
2013	J	`jnl`	Joint Power and Admission Control via Linear Programming Deflation. IEEE Trans. Signal Process. Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2013	J	`jnl`	Joint Power and Admission Control: Non-Convex Approximation and An Efficient Polynomial Time Deflation Approach. CoRR Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma
2013	J	`jnl`	Joint power and admission control via p norm minimization deflation CoRR Ya-Feng Liu, Yu-Hong Dai
2013	Misc	`conf`	Joint power and admission control via p norm minimization deflation. ICASSP Ya-Feng Liu, Yu-Hong Dai
2013	J	`jnl`	Max-Min Fairness Linear Transceiver Design Problem for a Multi-User SIMO Interference Channel is Polynomial Time Solvable. IEEE Signal Process. Lett. Ya-Feng Liu, Mingyi Hong, Yu-Hong Dai
2013	J	`jnl`	Max-Min Fairness Linear Transceiver Design for a Multi-User MIMO Interference Channel. IEEE Trans. Signal Process. Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2012	Misc	`conf`	Joint power and admission control via linear programming deflation. ICASSP Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2012	J	`jnl`	New stochastic approximation algorithms with adaptive step sizes. Optim. Lett. Zi Xu, Yu-Hong Dai
2012	J	`jnl`	On the Complexity of Joint Subcarrier and Power Allocation for Multi-User OFDMA Systems CoRR Ya-Feng Liu, Yu-Hong Dai
2011	J	`jnl`	Convergence of conjugate gradient methods with constant stepsizes. Optim. Methods Softw. Yu-Hong Dai
2011	J	`jnl`	Coordinated Beamforming for MISO Interference Channel: Complexity Analysis and Efficient Algorithms. IEEE Trans. Signal Process. Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2011	—	`conf`	Max-Min Fairness Linear Transceiver Design for a Multi-User MIMO Interference Channel. ICC Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2010	J	`jnl`	Improved Projected Gradient Algorithms for Singly Linearly Constrained Quadratic Programs Subject to Lower and Upper Bounds. Asia Pac. J. Oper. Res. Yun-Shan Fu, Yu-Hong Dai
2010	Misc	`conf`	On the complexity of optimal coordinated downlink beamforming. ICASSP Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
2009	A	`conf`	Kernel Learning by Unconstrained Optimization. AISTATS Fuxin Li, Yun-Shan Fu, Yu-Hong Dai, Cristian Sminchisescu, Jue Wang
2009	J	`jnl`	On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration. J. Math. Imaging Vis. Gaohang Yu, Liqun Qi, Yu-Hong Dai
2008	J	`jnl`	Left conjugate gradient method for non-Hermitian linear systems. Numer. Linear Algebra Appl. Liping Wang, Yu-Hong Dai
2007	J	`jnl`	Inexact Barzilai-Borwein method for saddle point problems. Numer. Linear Algebra Appl. Yi-Qing Hu, Yu-Hong Dai
2006	J	`jnl`	Fast Algorithms for Projection on an Ellipsoid. SIAM J. Optim. Yu-Hong Dai
2006	J	`jnl`	Gradient Methods with Adaptive Step-Sizes. Comput. Optim. Appl. Bin Zhou, Li Gao, Yu-Hong Dai
2006	J	`jnl`	New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds. Math. Program. Yu-Hong Dai, Roger Fletcher
2005	J	`jnl`	On the asymptotic behaviour of some new gradient methods. Math. Program. Yu-Hong Dai, Roger Fletcher
2005	J	`jnl`	Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming. Numerische Mathematik Yu-Hong Dai, Roger Fletcher
2004	J	`jnl`	On Restart Procedures for the Conjugate Gradient Method. Numer. Algorithms Yu-Hong Dai, Li-Zhi Liao, Duan Li
2003	J	`jnl`	A family of hybrid conjugate gradient methods for unconstrained optimization. Math. Comput. Yu-Hong Dai
2003	J	`jnl`	An increasing-angle property of the conjugate gradient method and the implementation of large-scale minimization algorithms with line searches. Numer. Linear Algebra Appl. Yu-Hong Dai, José Mario Martínez, Jin Yun Yuan
2002	J	`jnl`	Convergence Properties of the BFGS Algoritm. SIAM J. Optim. Yu-Hong Dai
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 three-parameter family of nonlinear conjugate gradient methods. Math. Comput. Yu-Hong Dai, Ya-Xiang Yuan
2001	J	`jnl`	Adaptive Two-Point Stepsize Gradient Algorithm. Numer. Algorithms Yu-Hong Dai, Hongchao Zhang
2001	J	`jnl`	New properties of a nonlinear conjugate gradient method. Numerische Mathematik Yu-Hong Dai
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
1999	J	`jnl`	Global convergence of the method of shortest residuals. Numerische Mathematik Yu-Hong Dai, Ya-Xiang Yuan