KKT Solution and Conic Relaxation for Solving Quadratically Constrained Quadratic Programming Problems. - Cheng Lu 007; Shu-Cherng Fang; Qingwei Jin; Zhenbo Wang; Wenxun Xing (SIAM J. Optim., 2011)

High-performance Swahili keyword search with very limited language pack: The THUEE system for the OpenKWS15 evaluation. - Meng Cai; Zhiqiang Lv; Cheng Lu 007; Jian Kang 006; Like Hui; Zhuo Zhang; Jia Liu 001 (ASRU, 2015)

Improved system fusion for keyword search. - Zhiqiang Lv; Meng Cai; Cheng Lu 007; Jian Kang 006; Like Hui; Wei-Qiang Zhang 001; Jia Liu 001 (ASRU, 2015)

The THUEE system for the openKWS14 keyword search evaluation. - Meng Cai; Zhiqiang Lv; Beili Song; Yongzhe Shi; Wei-lan Wu; Cheng Lu 007; Wei-Qiang Zhang 001; Jia Liu 001 (ICASSP, 2015)

Neuron sparseness versus connection sparseness in deep neural network for large vocabulary speech recognition. - Jian Kang 006; Cheng Lu 007; Meng Cai; Wei-Qiang Zhang 001; Jia Liu 001 (ICASSP, 2015)

Conic approximation to nonconvex quadratic programming with convex quadratic constraints. - Zhibin Deng; Shu-Cherng Fang; Qingwei Jin; Cheng Lu 007 (J. Glob. Optim., 2015)

Convex reformulation for binary quadratic programming problems via average objective value maximization. - Cheng Lu 007; Xiaoling Guo (Optim. Lett., 2015)

An efficient global algorithm for nonconvex complex quadratic problems with applications in wireless communications. - Cheng Lu 007; Ya-Feng Liu; Jing Zhou (ICCC, 2017)

Joint multicast and unicast beamforming for the MISO downlink interference channel. - Ya-Feng Liu; Cheng Lu 007; Meixia Tao; Jiageng Wu (SPAWC, 2017)

An eigenvalue decomposition based branch-and-bound algorithm for nonconvex quadratic programming problems with convex quadratic constraints. - Cheng Lu 007; Zhibin Deng; Qingwei Jin (J. Glob. Optim., 2017)

An Efficient Global Algorithm for Single-Group Multicast Beamforming. - Cheng Lu 007; Ya-Feng Liu (IEEE Trans. Signal Process., 2017)

Argument division based branch-and-bound algorithm for unit-modulus constrained complex quadratic programming. - Cheng Lu 007; Zhibin Deng; Wei-Qiang Zhang 001; Shu-Cherng Fang (J. Glob. Optim., 2018)

DC decomposition based branch-and-bound algorithms for box-constrained quadratic programs. - Cheng Lu 007; Zhibin Deng (Optim. Lett., 2018)

On the Equivalence of Semidifinite Relaxations for MIMO Detection with General Constellations. - Ya-Feng Liu; Zi Xu; Cheng Lu 007 (ICASSP, 2019)

An Enhanced SDR based Global Algorithm for Nonconvex Complex Quadratic Programs with Signal Processing Applications. - Cheng Lu 007; Ya-Feng Liu; Jing Zhou (CoRR, 2019)

A sensitive-eigenvector based global algorithm for quadratically constrained quadratic programming. - Cheng Lu 007; Zhibin Deng; Jing Zhou; Xiaoling Guo (J. Glob. Optim., 2019)

Tightness of a New and Enhanced Semidefinite Relaxation for MIMO Detection. - Cheng Lu 007; Ya-Feng Liu; Wei-Qiang Zhang 001; Shuzhong Zhang (SIAM J. Optim., 2019)

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 007 (J. Glob. Optim., 2020)

Globally solving extended trust region subproblems with two intersecting cuts. - Zhibin Deng; Cheng Lu 007; Ye Tian 006; Jian Luo 006 (Optim. Lett., 2020)

A branch-and-bound algorithm for solving max-k-cut problem. - Cheng Lu 007; Zhibin Deng (J. Glob. Optim., 2021)

Ensemble of Multiple Anomalous Sound Detectors. - Yufeng Deng; Anbai Jiang; Yuchen Duan; Jitao Ma; Xuchu Chen; Jia Liu 001; Pingyi Fan; Cheng Lu 007; Wei-Qiang Zhang 001 (DCASE, 2022)

Fast computation of global solutions to the single-period unit commitment problem. - Cheng Lu 007; Zhibin Deng; Shu-Cherng Fang; Qingwei Jin; Wenxun Xing (J. Comb. Optim., 2022)

A fast global algorithm for singly linearly constrained separable binary quadratic program with partially identical parameters. - Cheng Lu 007; Junhao Wu; Zhibin Deng; Shaoze Li (Optim. Lett., 2023)

A New Global Algorithm for Max-Cut Problem with Chordal Sparsity. - Cheng Lu 007; Zhibin Deng; Shu-Cherng Fang; Wenxun Xing (J. Optim. Theory Appl., 2023)

A simplified completely positive reformulation for binary quadratic programs. - Qiao Wang; Cheng Lu 007; Zhibin Deng; Jichang Dong (Oper. Res. Lett., 2023)

An efficient global algorithm for indefinite separable quadratic knapsack problems with box constraints. - Shaoze Li; Zhibin Deng; Cheng Lu 007; Junhao Wu; Jinyu Dai; Qiao Wang (Comput. Optim. Appl., 2023)

New semidefinite relaxations for a class of complex quadratic programming problems. - Yingzhe Xu; Cheng Lu 007; Zhibin Deng; Ya-Feng Liu (J. Glob. Optim., 2023)

Exploring Large Scale Pre-Trained Models for Robust Machine Anomalous Sound Detection. - Bing Han 008; Zhiqiang Lv; Anbai Jiang; Wen Huang 004; Zhengyang Chen; Yufeng Deng; Jiawei Ding; Cheng Lu 007; Wei-Qiang Zhang 001; Pingyi Fan; Jia Liu 001; Yanmin Qian (ICASSP, 2024)

Semi-Supervised Acoustic Scene Classification with Test-Time Adaptation. - Wen Huang 004; Anbai Jiang; Bing Han 008; Xinhu Zheng; Yihong Qiu; Wenxi Chen; Yuzhe Liang; Pingyi Fan; Wei-Qiang Zhang 001; Cheng Lu 007; Xie Chen 001; Jia Liu 001; et al. (ICME Workshops, 2024)

Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning. - Bing Han 008; Wen Huang 004; Zhengyang Chen; Anbai Jiang; Pingyi Fan; Cheng Lu 007; Zhiqiang Lv; Jia Liu; Wei-Qiang Zhang; Yanmin Qian (CoRR, 2024)

A graphic structure based branch-and-bound algorithm for complex quadratic optimization and applications to magnitude least-square problem. - Cheng Lu 007; Jitao Ma; Zhibin Deng; Wenxun Xing (J. Glob. Optim., 2024)

Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning. - Bing Han 008; Wen Huang 004; Zhengyang Chen; Anbai Jiang; Pingyi Fan; Cheng Lu 007; Zhiqiang Lv; Jia Liu 001; Wei-Qiang Zhang 001; Yanmin Qian (ICASSP, 2025)

Adaptive Prototype Learning for Anomalous Sound Detection with Partially Known Attributes. - Anbai Jiang; Xinhu Zheng; Bing Han; Yihong Qiu; Pingyi Fan; Wei-Qiang Zhang; Cheng Lu 007; Jia Liu 001 (ICASSP, 2025)

Quadratic convex reformulations for a class of complex quadratic programming problems. - Cheng Lu 007; Gaojian Kang; Guangtai Qu; Zhibin Deng (Comput. Optim. Appl., 2025)