Cheng Lu

According to our database, Cheng Lu authored at least 28 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A graphic structure based branch-and-bound algorithm for complex quadratic optimization and applications to magnitude least-square problem.

Cheng Lu, Jitao Ma, Zhibin Deng, Wenxun Xing

J. Glob. Optim., January, 2024

2023

New semidefinite relaxations for a class of complex quadratic programming problems.

Yingzhe Xu, Cheng Lu, Zhibin Deng, Ya-Feng Liu

J. Glob. Optim., September, 2023

An efficient global algorithm for indefinite separable quadratic knapsack problems with box constraints.

Shaoze Li, Zhibin Deng, Cheng Lu, Junhao Wu, Jinyu Dai, Qiao Wang

Comput. Optim. Appl., September, 2023

A simplified completely positive reformulation for binary quadratic programs.

Qiao Wang, Cheng Lu, Zhibin Deng, Jichang Dong

Oper. Res. Lett., May, 2023

A New Global Algorithm for Max-Cut Problem with Chordal Sparsity.

Cheng Lu, Zhibin Deng, Shu-Cherng Fang, Wenxun Xing

J. Optim. Theory Appl., May, 2023

A fast global algorithm for singly linearly constrained separable binary quadratic program with partially identical parameters.

Cheng Lu, Junhao Wu, Zhibin Deng, Shaoze Li

Optim. Lett., April, 2023

2022

Fast computation of global solutions to the single-period unit commitment problem.

Cheng Lu, Zhibin Deng, Shu-Cherng Fang, Qingwei Jin, Wenxun Xing

J. Comb. Optim., 2022

Ensemble of Multiple Anomalous Sound Detectors.

Yufeng Deng, Anbai Jiang, Yuchen Duan, Jitao Ma, Xuchu Chen, Jia Liu, Pingyi Fan, Cheng Lu, Wei-Qiang Zhang

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

A branch-and-bound algorithm for solving max-k-cut problem.

Cheng Lu, Zhibin Deng

J. Glob. Optim., 2021

2020

Globally solving extended trust region subproblems with two intersecting cuts.

Zhibin Deng, Cheng Lu, Ye Tian, Jian Luo

Optim. Lett., 2020

Set-completely-positive representations and cuts for the max-cut polytope and the unit modulus lifting.

Florian Jarre, Felix Lieder, Ya-Feng Liu, Cheng Lu

J. Glob. Optim., 2020

2019

Tightness of a New and Enhanced Semidefinite Relaxation for MIMO Detection.

Cheng Lu, Ya-Feng Liu, Wei-Qiang Zhang, Shuzhong Zhang

SIAM J. Optim., 2019

A sensitive-eigenvector based global algorithm for quadratically constrained quadratic programming.

Cheng Lu, Zhibin Deng, Jing Zhou, Xiaoling Guo

J. Glob. Optim., 2019

An Enhanced SDR based Global Algorithm for Nonconvex Complex Quadratic Programs with Signal Processing Applications.

Cheng Lu, Ya-Feng Liu, Jing Zhou

CoRR, 2019

On the Equivalence of Semidifinite Relaxations for MIMO Detection with General Constellations.

Ya-Feng Liu, Zi Xu, Cheng Lu

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

DC decomposition based branch-and-bound algorithms for box-constrained quadratic programs.

Cheng Lu, Zhibin Deng

Optim. Lett., 2018

Argument division based branch-and-bound algorithm for unit-modulus constrained complex quadratic programming.

Cheng Lu, Zhibin Deng, Wei-Qiang Zhang, Shu-Cherng Fang

J. Glob. Optim., 2018

2017

An Efficient Global Algorithm for Single-Group Multicast Beamforming.

Cheng Lu, Ya-Feng Liu

IEEE Trans. Signal Process., 2017

An eigenvalue decomposition based branch-and-bound algorithm for nonconvex quadratic programming problems with convex quadratic constraints.

Cheng Lu, Zhibin Deng, Qingwei Jin

J. Glob. Optim., 2017

Joint multicast and unicast beamforming for the MISO downlink interference channel.

Ya-Feng Liu, Cheng Lu, Meixia Tao, Jiageng Wu

Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

An efficient global algorithm for nonconvex complex quadratic problems with applications in wireless communications.

Cheng Lu, Ya-Feng Liu, Jing Zhou

Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

2015

Convex reformulation for binary quadratic programming problems via average objective value maximization.

Cheng Lu, Xiaoling Guo

Optim. Lett., 2015

Conic approximation to nonconvex quadratic programming with convex quadratic constraints.

Zhibin Deng, Shu-Cherng Fang, Qingwei Jin, Cheng Lu

J. Glob. Optim., 2015

Neuron sparseness versus connection sparseness in deep neural network for large vocabulary speech recognition.

Jian Kang, Cheng Lu, Meng Cai, Wei-Qiang Zhang, Jia Liu

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

The THUEE system for the openKWS14 keyword search evaluation.

Meng Cai, Zhiqiang Lv, Beili Song, Yongzhe Shi, Wei-lan Wu, Cheng Lu, Wei-Qiang Zhang, Jia Liu

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Improved system fusion for keyword search.

Zhiqiang Lv, Meng Cai, Cheng Lu, Jian Kang, Like Hui, Wei-Qiang Zhang, Jia Liu

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

High-performance Swahili keyword search with very limited language pack: The THUEE system for the OpenKWS15 evaluation.

Meng Cai, Zhiqiang Lv, Cheng Lu, Jian Kang, Like Hui, Zhuo Zhang, Jia Liu

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2011

KKT Solution and Conic Relaxation for Solving Quadratically Constrained Quadratic Programming Problems.

Cheng Lu, Shu-Cherng Fang, Qingwei Jin, Zhenbo Wang, Wenxun Xing

SIAM J. Optim., 2011