Yu-Hong Dai

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 72

Top Venues

CoRR

J. Glob. Optim.

Comput. Optim. Appl.

Optim. Methods Softw.

Publications

Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems. CoRR (2024)
Zhihua Allen-Zhao, Fengmin Xu, Yu-Hong Dai, Sanyang Liu
Robust enhanced indexation optimization with sparse industry layout constraint. Comput. Oper. Res. 161 (2024)
Rui-Jin Zhang, Xin-Wei Liu, Yu-Hong Dai
IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming. Comput. Optim. Appl. 88 (1) (2024)
Zheyu Wu, Bo Jiang, Ya-Feng Liu, Mingjie Shao, Yu-Hong Dai
Efficient CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems With PSK Modulation. IEEE Trans. Wirel. Commun. 23 (5) (2024)
Jiang-Yao Luo, Liang Chen, Weikun Chen, Jian-Hua Yuan, Yu-Hong Dai
A cut-and-solve algorithm for virtual machine consolidation problem. Future Gener. Comput. Syst. 154 (2024)
Fengmin Xu, Xuepeng Li, Yu-Hong Dai, Meihua Wang
New insights and augmented Lagrangian algorithm for optimal portfolio liquidation with market impact. Int. Trans. Oper. Res. 30 (5) (2023)
Sheng-Jie Chen, Weikun Chen, Yu-Hong Dai, Jian-Hua Yuan, Hou-Shan Zhang
Efficient presolving methods for the influence maximization problem. Networks 82 (3) (2023)
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems. SIAM J. Sci. Comput. 45 (5) (2023)
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
Properties of semi-conjugate gradient methods for solving unsymmetric positive definite linear systems. Optim. Methods Softw. 38 (5) (2023)
Wei-Kun Chen, Liang Chen, Yu-Hong Dai
Lifting for the integer knapsack cover polyhedron. J. Glob. Optim. 86 (1) (2023)
Wei-Kun Chen, Ya-Feng Liu, Rui-Jin Zhang, Yu-Hong Dai, Zhi-Quan Luo
An Efficient Decomposition Algorithm for Large-Scale Network Slicing. SPAWC (2023)
Weikun Chen, Ya-Feng Liu, Fan Liu, Yu-Hong Dai, Zhi-Quan Luo
Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach. IEEE Trans. Signal Process. 71 (2023)
Yu-Hong Dai, Liwei Zhang
The augmented Lagrangian method can approximately solve convex optimization with least constraint violation. Math. Program. 200 (2) (2023)
Juan Gao, Xinwei Liu, Yu-Hong Dai, Yakui Huang, Junhua Gu
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization. Comput. Optim. Appl. 84 (2) (2023)
Wei-Kun Chen, Ya-Feng Liu, Rui-Jin Zhang, Yu-Hong Dai, Zhi-Quan Luo
An Efficient Decomposition Algorithm for Large-Scale Network Slicing. CoRR (2023)
Zhen-Yuan Ji, Yu-Hong Dai
Greedy PSB methods with explicit superlinear convergence. Comput. Optim. Appl. 85 (3) (2023)
Zheyu Wu, Ya-Feng Liu, Bo Jiang, Yu-Hong Dai
Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems. ICASSP (2023)
Yu-Hong Dai, Fangfang Xu, Liwei Zhang
Alternating direction method of multipliers for linear hyperspectral unmixing. Math. Methods Oper. Res. 97 (3) (2023)
Jiawei Chen, Yu-Hong Dai
Multiobjective optimization with least constraint violation: optimality conditions and exact penalization. J. Glob. Optim. 87 (2) (2023)
Liang Chen, Sheng-Jie Chen, Weikun Chen, Yu-Hong Dai, Tao Quan, Juan Chen
Efficient presolving methods for solving maximal covering and partial set covering location problems. Eur. J. Oper. Res. 311 (1) (2023)
Juan Gao, Xinwei Liu, Yu-Hong Dai, Yakui Huang, Peng Yang
A Family of Distributed Momentum Methods Over Directed Graphs With Linear Convergence. IEEE Trans. Autom. Control. 68 (2) (2023)
Rui-Jin Zhang, Xin-Wei Liu, Yu-Hong Dai
IPRQP: a primal-dual interior-point relaxation algorithm for convex quadratic programming. J. Glob. Optim. 87 (2) (2023)
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems. CoRR (2022)
Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
Optimal Qos-Aware Network Slicing for Service-Oriented Networks with Flexible Routing. ICASSP (2022)
Jiang-Yao Luo, Liang Chen, Wei-Kun Chen, Jian-Hua Yuan, Yu-Hong Dai
A Cut-and-solve Algorithm for Virtual Machine Consolidation Problem. CoRR (2022)
Yakui Huang, Yu-Hong Dai, Xinwei Liu, Hongchao Zhang
On the Asymptotic Convergence and Acceleration of Gradient Methods. J. Sci. Comput. 90 (1) (2022)
Juan Gao, Xin-Wei Liu, Yu-Hong Dai, Yakui Huang, Peng Yang
Achieving geometric convergence for distributed optimization with Barzilai-Borwein step sizes. Sci. China Inf. Sci. 65 (4) (2022)
Zi Xu, Ziqi Wang, Jun-Lin Wang, Yu-Hong Dai
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class of Nonconvex-Nonconcave Minimax Problems. CoRR (2022)
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
A semi-conjugate gradient method for solving unsymmetric positive definite linear systems. CoRR (2022)
Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai
A Novel Negative ℓ1 Penalty Approach for Multiuser One-Bit Massive MIMO Downlink with PSK Signaling. ICASSP (2022)
Zheyu Wu, Ya-Feng Liu, Bo Jiang, Yu-Hong Dai
Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems. CoRR (2022)
Huiling Zhang, Jun-Lin Wang, Zi Xu, Yu-Hong Dai
Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints. CoRR (2022)
Liang Chen, Yu-Hong Dai, Zhou Wei
Sufficient conditions for existence of global minimizers of functions on Hilbert spaces. J. Glob. Optim. 84 (1) (2022)
Yakui Huang, Yu-Hong Dai, Xin-Wei Liu, Hongchao Zhang
On the acceleration of the Barzilai-Borwein method. Comput. Optim. Appl. 81 (3) (2022)
Xinwei Liu, Yu-Hong Dai, Ya-Kui Huang, Jie Sun
A novel augmented Lagrangian method of multipliers for optimization with general inequality constraints. Math. Comput. 92 (341) (2022)
Xin-Wei Liu, Yu-Hong Dai, Yakui Huang
A primal-dual interior-point relaxation method with global and rapidly local convergence for nonlinear programs. Math. Methods Oper. Res. 96 (3) (2022)
Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun
A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Wei-Kun Chen, Ya-Feng Liu, Fan Liu, Yu-Hong Dai, Zhi-Quan Luo
Towards Efficient Large-Scale Network Slicing: An LP Rounding-and-Refinement Approach. CoRR (2021)
Hui Zhang, Yu-Hong Dai, Lei Guo, Wei Peng
Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions. Math. Oper. Res. 46 (1) (2021)
Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun
Stochastic Variance Reduced Gradient Methods Using a Trust-Region-Like Scheme. J. Sci. Comput. 87 (1) (2021)
Zhi-Long Dong, Jiming Peng, Fengmin Xu, Yu-Hong Dai
On some extended mixed integer optimization models of the Eisenberg-Noe model in systemic risk management. Int. Trans. Oper. Res. 28 (6) (2021)
Yakui Huang, Yu-Hong Dai, Xinwei Liu
Equipping the Barzilai-Borwein Method with the Two Dimensional Quadratic Termination Property. SIAM J. Optim. 31 (4) (2021)
Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai
Penalty Approach for Multiuser One-Bit Massive MIMO Downlink with PSK Signaling. CoRR (2021)
Wei-Kun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
Optimal QoS-Aware Network Slicing for Service-Oriented Networks with Flexible Routing. CoRR (2021)
Zheyu Wu, Bo Jiang, Ya-Feng Liu, Yu-Hong Dai
Penalty Approach. CoRR (2021)
Weikun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
An Efficient Linear Programming Rounding-and-Refinement Algorithm for Large-Scale Network Slicing Problem. ICASSP (2021)
Weikun Chen, Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
An efficient linear programming rounding-and-refinement algorithm for large-scale network slicing problem. CoRR (2021)
Liang Chen, Weikun Chen, Mu-Ming Yang, Yu-Hong Dai
An exact separation algorithm for unsplittable flow capacitated network design arc-set polyhedron. J. Glob. Optim. 81 (3) (2021)
Weikun Chen, Ya-Feng Liu, Antonio De Domenico, Zhi-Quan Luo, Yu-Hong Dai
Optimal Network Slicing for Service-Oriented Networks With Flexible Routing and Guaranteed E2E Latency. IEEE Trans. Netw. Serv. Manag. 18 (4) (2021)
Yu-Hong Dai, Xin Liu, Jiawang Nie, Zaiwen Wen
Preface. Optim. Methods Softw. 35 (2) (2020)
Zhibao Li, Ka Fai Cedric Yiu, Yu-Hong Dai, Sven Nordholm
Distributed LCMV beamformer design by randomly permuted ADMM. Digit. Signal Process. 106 (2020)
Zexian Liu, Hongwei Liu, Yu-Hong Dai
An improved Dai-Kou conjugate gradient algorithm for unconstrained optimization. Comput. Optim. Appl. 75 (1) (2020)
Weikun Chen, Ya-Feng Liu, Antonio De Domenico, Zhi-Quan Luo, Yu-Hong Dai
Optimal Network Slicing for Service-Oriented Networks with Flexible Routing and Guaranteed E2E Latency. CoRR (2020)
Tengteng Yu, Xinwei Liu, Yu-Hong Dai, Jie Sun
A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize. CoRR (2020)
Yakui Huang, Yu-Hong Dai, Xinwei Liu, Hongchao Zhang
Gradient methods exploiting spectral properties. Optim. Methods Softw. 35 (4) (2020)
Xinwei Liu, Yu-Hong Dai
A globally convergent primal-dual interior-point relaxation method for nonlinear programs. Math. Comput. 89 (323) (2020)
Zhongwen Chen, Yu-Hong Dai, Jiangyan Liu
A penalty-free method with superlinear convergence for equality constrained optimization. Comput. Optim. Appl. 76 (3) (2020)
Yu-Hong Dai, Florian Jarre, Felix Lieder
On the existence of affine invariant descent directions. Optim. Methods Softw. 35 (5) (2020)
Zhi-Long Dong, Fengmin Xu, Yu-Hong Dai
Fast algorithms for sparse portfolio selection considering industries and investment styles. J. Glob. Optim. 78 (4) (2020)
Wei Peng, Yu-Hong Dai, Hui Zhang, Lizhi Cheng
Training GANs with centripetal acceleration. Optim. Methods Softw. 35 (5) (2020)
Yu-Hong Dai, Yakui Huang, Xinwei Liu
A family of spectral gradient methods for optimization. Comput. Optim. Appl. 74 (1) (2019)
Na Huang, Yu-Hong Dai, QiYa Hu
Uzawa methods for a class of block three-by-three saddle-point problems. Numer. Linear Algebra Appl. 26 (6) (2019)
Zhibao Li, Yu-Hong Dai, Huan Gao
Alternating projection method for a class of tensor equations. J. Comput. Appl. Math. 346 (2019)
Wanyou Cheng, Yu-Hong Dai
optimization. Math. Comput. 87 (311) (2018)
Fengmin Xu, Meihua Wang, Yu-Hong Dai, Dachuan Xu
A sparse enhanced indexation model with chance and cardinality constraints. J. Glob. Optim. 70 (1) (2018)
Weikun Chen, Liang Chen, Mu-Ming Yang, Yu-Hong Dai
Generalized coefficient strengthening cuts for mixed integer programming. J. Glob. Optim. 70 (1) (2018)
Rui Diao, Ya-Feng Liu, Yu-Hong Dai
A new fully polynomial time approximation scheme for the interval subset sum problem. J. Glob. Optim. 68 (4) (2017)
Rui Diao, Ya-Feng Liu, Yu-Hong Dai
A New Fully Polynomial Time Approximation Scheme for the Interval Subset Sum Problem. CoRR (2017)
Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian
Barzilai-Borwein Step Size for Stochastic Gradient Descent. CoRR (2016)
Conghui Tan, Shiqian Ma, Yu-Hong Dai, Yuqiu Qian
Barzilai-Borwein Step Size for Stochastic Gradient Descent. NIPS (2016)
Zhongwen Chen, Yu-Hong Dai
A line search exact penalty method with bi-object strategy for nonlinear constrained optimization. J. Comput. Appl. Math. 300 (2016)
Ya-Feng Liu, Shiqian Ma, Yu-Hong Dai, Shuzhong Zhang
minimization over polyhedron. Math. Program. 158 (1-2) (2016)
Bo Jiang, Yu-Hong Dai
A framework of constraint preserving update schemes for optimization on Stiefel manifold. Math. Program. 153 (2) (2015)
Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma
Approximation and An Effective Polynomial Time Deflation Approach. IEEE Trans. Signal Process. 63 (14) (2015)
Cai-Xia Kou, Yu-Hong Dai
A Modified Self-Scaling Memoryless Broyden-Fletcher-Goldfarb-Shanno Method for Unconstrained Optimization. J. Optim. Theory Appl. 165 (1) (2015)
Chun-Feng Cui, Yu-Hong Dai, Jiawang Nie
All Real Eigenvalues of Symmetric Tensors. SIAM J. Matrix Anal. Appl. 35 (4) (2014)
Ya-Feng Liu, Yu-Hong Dai
On the Complexity of Joint Subcarrier and Power Allocation for Multi-User OFDMA Systems. IEEE Trans. Signal Process. 62 (3) (2014)
Yi-Qing Hu, Chun-Lin Hao, Yu-Hong Dai
Projected gradient algorithms for optimization over order simplices. Optim. Methods Softw. 29 (5) (2014)
Yu-Hong Dai
A perfect example for the BFGS method. Math. Program. 138 (1-2) (2013)
Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
Max-Min Fairness Linear Transceiver Design for a Multi-User MIMO Interference Channel. IEEE Trans. Signal Process. 61 (9) (2013)
Yu-Hong Dai, Cai-Xia Kou
A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search. SIAM J. Optim. 23 (1) (2013)
Ya-Feng Liu, Yu-Hong Dai, Shiqian Ma
Joint Power and Admission Control: Non-Convex Approximation and An Efficient Polynomial Time Deflation Approach. CoRR (2013)
Bo Jiang, Yu-Hong Dai
Feasible Barzilai-Borwein-like methods for extreme symmetric eigenvalue problems. Optim. Methods Softw. 28 (4) (2013)
Ya-Feng Liu, Yu-Hong Dai
Joint power and admission control via p norm minimization deflation CoRR (2013)
Ya-Feng Liu, Yu-Hong Dai
Joint power and admission control via p norm minimization deflation. ICASSP (2013)
Ya-Feng Liu, Mingyi Hong, Yu-Hong Dai
Max-Min Fairness Linear Transceiver Design Problem for a Multi-User SIMO Interference Channel is Polynomial Time Solvable. IEEE Signal Process. Lett. 20 (1) (2013)
Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
Joint Power and Admission Control via Linear Programming Deflation. IEEE Trans. Signal Process. 61 (6) (2013)
Zi Xu, Yu-Hong Dai
New stochastic approximation algorithms with adaptive step sizes. Optim. Lett. 6 (8) (2012)
Ya-Feng Liu, Yu-Hong Dai
On the Complexity of Joint Subcarrier and Power Allocation for Multi-User OFDMA Systems CoRR (2012)
Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
Joint power and admission control via linear programming deflation. ICASSP (2012)
Yu-Hong Dai
Convergence of conjugate gradient methods with constant stepsizes. Optim. Methods Softw. 26 (6) (2011)
Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
Coordinated Beamforming for MISO Interference Channel: Complexity Analysis and Efficient Algorithms. IEEE Trans. Signal Process. 59 (3) (2011)
Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
Max-Min Fairness Linear Transceiver Design for a Multi-User MIMO Interference Channel. ICC (2011)
Ya-Feng Liu, Yu-Hong Dai, Zhi-Quan Luo
On the complexity of optimal coordinated downlink beamforming. ICASSP (2010)
Yun-Shan Fu, Yu-Hong Dai
Improved Projected Gradient Algorithms for Singly Linearly Constrained Quadratic Programs Subject to Lower and Upper Bounds. Asia Pac. J. Oper. Res. 27 (1) (2010)
Gaohang Yu, Liqun Qi, Yu-Hong Dai
On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration. J. Math. Imaging Vis. 35 (2) (2009)
Fuxin Li, Yun-Shan Fu, Yu-Hong Dai, Cristian Sminchisescu, Jue Wang
Kernel Learning by Unconstrained Optimization. AISTATS (2009)
Liping Wang, Yu-Hong Dai
Left conjugate gradient method for non-Hermitian linear systems. Numer. Linear Algebra Appl. 15 (10) (2008)
Yi-Qing Hu, Yu-Hong Dai
Inexact Barzilai-Borwein method for saddle point problems. Numer. Linear Algebra Appl. 14 (4) (2007)
Bin Zhou, Li Gao, Yu-Hong Dai
Gradient Methods with Adaptive Step-Sizes. Comput. Optim. Appl. 35 (1) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu-Hong Dai