Yu-Hong Dai

Orcid: 0000-0002-6932-9512

Affiliations:
  • Chinese Academy of Sciences, Institute of Computational Mathematics and Scientific Engineering Computing


According to our database1, Yu-Hong Dai authored at least 109 papers between 1999 and 2024.

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Bibliography

2024
Efficient CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems With PSK Modulation.
IEEE Trans. Wirel. Commun., May, 2024

IPRSDP: a primal-dual interior-point relaxation algorithm for semidefinite programming.
Comput. Optim. Appl., May, 2024

Robust enhanced indexation optimization with sparse industry layout constraint.
Comput. Oper. Res., January, 2024

An Efficient Benders Decomposition Approach for Optimal Large-Scale Network Slicing.
IEEE Trans. Signal Process., 2024

Optimality Conditions and Numerical Algorithms for a Class of Linearly Constrained Minimax Optimization Problems.
SIAM J. Optim., 2024

A cut-and-solve algorithm for virtual machine consolidation problem.
Future Gener. Comput. Syst., 2024

QoS-Aware and Routing-Flexible Network Slicing for Service-Oriented Networks.
CoRR, 2024

An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems.
CoRR, 2024

2023
IPRQP: a primal-dual interior-point relaxation algorithm for convex quadratic programming.
J. Glob. Optim., November, 2023

Multiobjective optimization with least constraint violation: optimality conditions and exact penalization.
J. Glob. Optim., November, 2023

Efficient presolving methods for solving maximal covering and partial set covering location problems.
Eur. J. Oper. Res., November, 2023

On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems.
SIAM J. Sci. Comput., October, 2023

Efficient presolving methods for the influence maximization problem.
Networks, October, 2023

Properties of semi-conjugate gradient methods for solving unsymmetric positive definite linear systems.
Optim. Methods Softw., September, 2023

The augmented Lagrangian method can approximately solve convex optimization with least constraint violation.
Math. Program., July, 2023

Greedy PSB methods with explicit superlinear convergence.
Comput. Optim. Appl., July, 2023

Alternating direction method of multipliers for linear hyperspectral unmixing.
Math. Methods Oper. Res., June, 2023

Lifting for the integer knapsack cover polyhedron.
J. Glob. Optim., May, 2023

Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization.
Comput. Optim. Appl., March, 2023

A Family of Distributed Momentum Methods Over Directed Graphs With Linear Convergence.
IEEE Trans. Autom. Control., February, 2023

Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement Approach.
IEEE Trans. Signal Process., 2023

Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems.
J. Mach. Learn. Res., 2023

New insights and augmented Lagrangian algorithm for optimal portfolio liquidation with market impact.
Int. Trans. Oper. Res., 2023

An Efficient Decomposition Algorithm for Large-Scale Network Slicing.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Efficient Quantized Constant Envelope Precoding for Multiuser Downlink Massive MIMO Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A novel augmented Lagrangian method of multipliers for optimization with general inequality constraints.
Math. Comput., November, 2022

A primal-dual interior-point relaxation method with global and rapidly local convergence for nonlinear programs.
Math. Methods Oper. Res., 2022

On the Asymptotic Convergence and Acceleration of Gradient Methods.
J. Sci. Comput., 2022

Sufficient conditions for existence of global minimizers of functions on Hilbert spaces.
J. Glob. Optim., 2022

A Cut-and-solve Algorithm for Virtual Machine Consolidation Problem.
CoRR, 2022

Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints.
CoRR, 2022

A semi-conjugate gradient method for solving unsymmetric positive definite linear systems.
CoRR, 2022

On the acceleration of the Barzilai-Borwein method.
Comput. Optim. Appl., 2022

Achieving geometric convergence for distributed optimization with Barzilai-Borwein step sizes.
Sci. China Inf. Sci., 2022

A Novel Negative ℓ1 Penalty Approach for Multiuser One-Bit Massive MIMO Downlink with PSK Signaling.
Proceedings of the IEEE International Conference on Acoustics, 2022

Optimal Qos-Aware Network Slicing for Service-Oriented Networks with Flexible Routing.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Optimal Network Slicing for Service-Oriented Networks With Flexible Routing and Guaranteed E2E Latency.
IEEE Trans. Netw. Serv. Manag., 2021

A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes.
IEEE Trans. Neural Networks Learn. Syst., 2021

Equipping the Barzilai-Borwein Method with the Two Dimensional Quadratic Termination Property.
SIAM J. Optim., 2021

Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions.
Math. Oper. Res., 2021

Stochastic Variance Reduced Gradient Methods Using a Trust-Region-Like Scheme.
J. Sci. Comput., 2021

An exact separation algorithm for unsplittable flow capacitated network design arc-set polyhedron.
J. Glob. Optim., 2021

On some extended mixed integer optimization models of the Eisenberg-Noe model in systemic risk management.
Int. Trans. Oper. Res., 2021

CI-Based One-Bit Precoding for Multiuser Downlink Massive MIMO Systems with PSK Modulation: A Negative 𝓁<sub>1</sub> Penalty Approach.
CoRR, 2021

A Novel Negative 𝓁<sub>1</sub> Penalty Approach for Multiuser One-Bit Massive MIMO Downlink with PSK Signaling.
CoRR, 2021

Towards Efficient Large-Scale Network Slicing: An LP Rounding-and-Refinement Approach.
CoRR, 2021

An Efficient Linear Programming Rounding-and-Refinement Algorithm for Large-Scale Network Slicing Problem.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Training GANs with centripetal acceleration.
Optim. Methods Softw., 2020

Gradient methods exploiting spectral properties.
Optim. Methods Softw., 2020

Preface.
Optim. Methods Softw., 2020

On the existence of affine invariant descent directions.
Optim. Methods Softw., 2020

A globally convergent primal-dual interior-point relaxation method for nonlinear programs.
Math. Comput., 2020

Fast algorithms for sparse portfolio selection considering industries and investment styles.
J. Glob. Optim., 2020

Distributed LCMV beamformer design by randomly permuted ADMM.
Digit. Signal Process., 2020

A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize.
CoRR, 2020

An improved Dai-Kou conjugate gradient algorithm for unconstrained optimization.
Comput. Optim. Appl., 2020

A penalty-free method with superlinear convergence for equality constrained optimization.
Comput. Optim. Appl., 2020

2019
Uzawa methods for a class of block three-by-three saddle-point problems.
Numer. Linear Algebra Appl., 2019

Alternating projection method for a class of tensor equations.
J. Comput. Appl. Math., 2019

A family of spectral gradient methods for optimization.
Comput. Optim. Appl., 2019

2018
Gradient-based method with active set strategy for ℓ<sub>1</sub> optimization.
Math. Comput., 2018

A sparse enhanced indexation model with chance and cardinality constraints.
J. Glob. Optim., 2018

Generalized coefficient strengthening cuts for mixed integer programming.
J. Glob. Optim., 2018

2017
A new fully polynomial time approximation scheme for the interval subset sum problem.
J. Glob. Optim., 2017

2016
A smoothing SQP framework for a class of composite L<sub>q</sub> minimization over polyhedron.
Math. Program., 2016

A line search exact penalty method with bi-object strategy for nonlinear constrained optimization.
J. Comput. Appl. Math., 2016

Barzilai-Borwein Step Size for Stochastic Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Joint Power and Admission Control: Non-Convex L<sub>q</sub> Approximation and An Effective Polynomial Time Deflation Approach.
IEEE Trans. Signal Process., 2015

A sequential subspace projection method for extreme Z-eigenvalues of supersymmetric tensors.
Numer. Linear Algebra Appl., 2015

A framework of constraint preserving update schemes for optimization on Stiefel manifold.
Math. Program., 2015

A Modified Self-Scaling Memoryless Broyden-Fletcher-Goldfarb-Shanno Method for Unconstrained Optimization.
J. Optim. Theory Appl., 2015

2014
On the Complexity of Joint Subcarrier and Power Allocation for Multi-User OFDMA Systems.
IEEE Trans. Signal Process., 2014

All Real Eigenvalues of Symmetric Tensors.
SIAM J. Matrix Anal. Appl., 2014

Projected gradient algorithms for optimization over order simplices.
Optim. Methods Softw., 2014

2013
Max-Min Fairness Linear Transceiver Design for a Multi-User MIMO Interference Channel.
IEEE Trans. Signal Process., 2013

Joint Power and Admission Control via Linear Programming Deflation.
IEEE Trans. Signal Process., 2013

Max-Min Fairness Linear Transceiver Design Problem for a Multi-User SIMO Interference Channel is Polynomial Time Solvable.
IEEE Signal Process. Lett., 2013

A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search.
SIAM J. Optim., 2013

Feasible Barzilai-Borwein-like methods for extreme symmetric eigenvalue problems.
Optim. Methods Softw., 2013

A perfect example for the BFGS method.
Math. Program., 2013

Joint Power and Admission Control: Non-Convex Approximation and An Efficient Polynomial Time Deflation Approach.
CoRR, 2013

Joint power and admission control via p norm minimization deflation.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
New stochastic approximation algorithms with adaptive step sizes.
Optim. Lett., 2012

2011
Coordinated Beamforming for MISO Interference Channel: Complexity Analysis and Efficient Algorithms.
IEEE Trans. Signal Process., 2011

Convergence of conjugate gradient methods with constant stepsizes.
Optim. Methods Softw., 2011

2010
Improved Projected Gradient Algorithms for Singly Linearly Constrained Quadratic Programs Subject to Lower and Upper Bounds.
Asia Pac. J. Oper. Res., 2010

On the complexity of optimal coordinated downlink beamforming.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Kernel Learning by Unconstrained Optimization.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration.
J. Math. Imaging Vis., 2009

2008
Left conjugate gradient method for non-Hermitian linear systems.
Numer. Linear Algebra Appl., 2008

2007
Inexact Barzilai-Borwein method for saddle point problems.
Numer. Linear Algebra Appl., 2007

2006
Fast Algorithms for Projection on an Ellipsoid.
SIAM J. Optim., 2006

New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds.
Math. Program., 2006

Gradient Methods with Adaptive Step-Sizes.
Comput. Optim. Appl., 2006

A New Gradient Method with an Optimal Stepsize Property.
Comput. Optim. Appl., 2006

2005
Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming.
Numerische Mathematik, 2005

On the asymptotic behaviour of some new gradient methods.
Math. Program., 2005

2004
On Restart Procedures for the Conjugate Gradient Method.
Numer. Algorithms, 2004

2003
An increasing-angle property of the conjugate gradient method and the implementation of large-scale minimization algorithms with line searches.
Numer. Linear Algebra Appl., 2003

A family of hybrid conjugate gradient methods for unconstrained optimization.
Math. Comput., 2003

2002
Convergence Properties of the BFGS Algoritm.
SIAM J. Optim., 2002

Modified Two-Point Stepsize Gradient Methods for Unconstrained Optimization.
Comput. Optim. Appl., 2002

2001
New properties of a nonlinear conjugate gradient method.
Numerische Mathematik, 2001

Adaptive Two-Point Stepsize Gradient Algorithm.
Numer. Algorithms, 2001

A three-parameter family of nonlinear conjugate gradient methods.
Math. Comput., 2001

An Efficient Hybrid Conjugate Gradient Method for Unconstrained Optimization.
Ann. Oper. Res., 2001

2000
Convergence Properties of Nonlinear Conjugate Gradient Methods.
SIAM J. Optim., 2000

1999
A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property.
SIAM J. Optim., 1999

Global convergence of the method of shortest residuals.
Numerische Mathematik, 1999


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