An improved SQP algorithm for inequality constrained optimization. - Zhibin Zhu; Kecun Zhang; Jinbao Jian (Math. Methods Oper. Res., 2003)

A new SQP method of feasible directions for nonlinear programming. - Zhibin Zhu; Kecun Zhang (Appl. Math. Comput., 2004)

A feasible interior-point algorithm for nonconvex nonlinear programming. - Zhibin Zhu (Appl. Math. Comput., 2005)

A globally and superlinearly convergent feasible QP-free method for nonlinear programming. - Zhibin Zhu (Appl. Math. Comput., 2005)

A simple feasible SQP algorithm for inequality constrained optimization. - Zhibin Zhu (Appl. Math. Comput., 2006)

Real-Time Control of Full Actuated Biped Robot Based on Nonlinear Model Predictive Control. - Zhibin Zhu; Yan Wang; Xinglin Chen (ICIRA (1), 2008)

An improved SQP algorithm for solving minimax problems. - Zhibin Zhu; Xiang Cai; Jinbao Jian (Appl. Math. Lett., 2009)

A feasible SQP method for nonlinear programming. - Zhibin Zhu; Weidong Zhang; Zhenjie Geng (Appl. Math. Comput., 2010)

An SQP-filter method for inequality constrained optimization and its global convergence. - Xiangling Wang; Zhibin Zhu; Shuangyong Zuo; Qingqun Huang (Appl. Math. Comput., 2011)

Modifying Feasible SQP Method for Inequality Constrained Optimization. - Zhijun Luo; Zhibin Zhu; Guohua Chen (ICICA (LNCS), 2012)

A new semi-supervised PSVM classifier. - Anwa Zhou; Zhibin Zhu; Hao Fan (Appl. Math. Comput., 2012)

A predictor-corrector algorithm combined conjugate gradient with homotopy interior point for general nonlinear programming. - Qingqun Huang; Zhibin Zhu; Xiangling Wang (Appl. Math. Comput., 2013)

Improved Feasible SQP Algorithm for Nonlinear Programs with Equality Constrained Sub-Problems. - Zhijun Luo; Guohua Chen; Simei Luo; Zhibin Zhu (J. Comput., 2013)

On the Convergence of Levenberg-Marquardt Method for Solving Nonlinear Systems. - Minglei Fang; Feng Xu; Zhibin Zhu; Lihua Jiang; Xianya Geng (BIC-TA, 2014)

A Vision System for Autonomous Satellite Grapple with Attitude Thruster. - Haidong Hu; Xiaoyan Mao; Zhibin Zhu; Chunling Wei; Yingzi He (ICINCO (2), 2014)

A modified spectral conjugate gradient projection algorithm for total variation image restoration. - Benxin Zhang; Zhibin Zhu; Shuang'an Li (Appl. Math. Lett., 2014)

Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm. - Fulin Wu; Shifei Ding; Huajuan Huang; Zhibin Zhu (J. Comput., 2014)

A generalized project metric algorithm for mathematical programs with equilibrium constraints. - Minglei Fang; Zhibin Zhu (J. Comput. Appl. Math., 2015)

A modified quasi-Newton diagonal update algorithm for total variation denoising problems and nonlinear monotone equations with applications in compressive sensing. - Benxin Zhang; Zhibin Zhu (Numer. Linear Algebra Appl., 2015)

Generalized Project Gradient Algorithm for Solving Constrained Minimax Problems. - Cong Zhang; Limin Sun; Zhibin Zhu (BIC-TA (2), 2016)

Leveraging Composition of Object Regions for Aesthetic Assessment of Photographs. - Hong Lu 001; Zeping Yao; Yunhan Bai; Zhibin Zhu; Bohong Yang; Lukun Chen; Wenqiang Zhang (PCM (1), 2016)

A simple primal-dual method for total variation image restoration. - Benxin Zhang; Zhibin Zhu; Shuo Wang (J. Vis. Commun. Image Represent., 2016)

Linearized proximal alternating direction method of multipliers for parallel magnetic resonance imaging. - Benxin Zhang; Zhibin Zhu (IEEE CAA J. Autom. Sinica, 2017)

An overview on semi-supervised support vector machine. - Shifei Ding; Zhibin Zhu; Xiekai Zhang (Neural Comput. Appl., 2017)

On an l1 exact penalty result for mathematical programs with vanishing constraints. - Qingjie Hu; Jiguang Wang; Yu Chen; Zhibin Zhu (Optim. Lett., 2017)

A simple primal-dual algorithm for nuclear norm and total variation regularization. - Zhibin Zhu; Jiawen Yao; Zheng Xu 005; Junzhou Huang; Benxin Zhang (Neurocomputing, 2018)

Two modified DY conjugate gradient methods for unconstrained optimization problems. - Zhibin Zhu; Dongdong Zhang; Shuo Wang (Appl. Math. Comput., 2020)

A new conjugate gradient hard thresholding pursuit algorithm for sparse signal recovery. - Zhibin Zhu; Jinyao Ma; Benxin Zhang (Comput. Appl. Math., 2020)

The CSP-Based New Features Plus Non-Convex Log Sparse Feature Selection for Motor Imagery EEG Classification. - Shaorong Zhang; Zhibin Zhu; Benxin Zhang; Bao Feng; Tianyou Yu; Zhi Li (Sensors, 2020)

A TV-log nonconvex approach for image deblurring with impulsive noise. - Benxin Zhang; Guopu Zhu; Zhibin Zhu (Signal Process., 2020)

Emotion Recognition Based on Energy-related Features of Peripheral Physiological Signals. - Zhibin Zhu; Jingwen Feng; Xuanyi Wang; Yifei Xu; Huiling Zhou; Jingjing Sun; Wenchen Jiang; Hang Chen (EMBC, 2022)

Distributed fault-tolerant containment control for a class of non-linear multi-agent systems via event-triggered mechanism. - Zhibin Zhu; Fuyong Wang; Yanhui Yin; Zhongxin Liu 001; Zengqiang Chen 001 (Appl. Math. Comput., 2022)

Overall optimization of CSP based on ensemble learning for motor imagery EEG decoding. - Shaorong Zhang; Zhibin Zhu; Benxin Zhang; Bao Feng; Tianyou Yu; Zhi Li; Zhiguo Zhang; Gan Huang; Zhen Liang (Biomed. Signal Process. Control., 2022)

CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron. - Wenyu Xing; Zhibin Zhu; Dongni Hou; Yaoting Yue; Fei Dai; Yifang Li; Lin Tong; Yuanlin Song; Dean Ta (Comput. Biol. Medicine, 2022)

Improved iteratively reweighted least squares algorithms for sparse recovery problem. - Yufeng Liu; Zhibin Zhu; Benxin Zhang (IET Image Process., 2022)

An AtanTV Nonconvex Regularization Model for MRI Reconstruction. - Zhijun Luo; Zhibin Zhu; Benxin Zhang (J. Sensors, 2022)

Two sufficient descent three-term conjugate gradient methods for unconstrained optimization problems with applications in compressive sensing. - Yufeng Liu; Zhibin Zhu; Benxin Zhang (J. Appl. Math. Comput., 2022)

Two spectral conjugate gradient methods for unconstrained optimization problems. - Zhibin Zhu; Ai Long; Tian Wang (J. Appl. Math. Comput., 2022)

Automatic segmentation of esophageal gross tumor volume in 18F-FDG PET/CT images via GloD-LoATUNet. - Yaoting Yue; Nan Li; Gaobo Zhang; Zhibin Zhu; Xin Liu 003; Shaoli Song; Dean Ta (Comput. Methods Programs Biomed., 2023)

Event-triggered fault-tolerant secure containment control of multi-agent systems through impulsive scheme. - Wenyu Li; Malika Sader; Zhibin Zhu; Zhongxin Liu 001; Zengqiang Chen 001 (Inf. Sci., 2023)

Mixture design model with uncertain response and its application. - Weixia Li; Zhibin Zhu; Xiaoyuan Zhu; Chongqi Zhang (Commun. Stat. Simul. Comput., 2023)

Distributed adaptive fault-tolerant containment control for multi-agent systems with nonautonomous leaders: A hierarchical event-triggered scheme. - Zhibin Zhu; Yanhui Yin; Fuyong Wang; Zengqiang Chen 001; Zhongxin Liu 001 (Expert Syst. Appl., 2023)

A CauchyTV non-convex regularization model for MRI reconstruction. - Yi Lu; Benxin Zhang; Zhibin Zhu; Yufeng Liu (Signal Image Video Process., 2023)

Dosimetric study of automatic optimization of IMRT plans for esophageal cancer based on convolutional neural network prediction of three-dimensional dose distribution. - Yinyong Zhuang; Zhibin Zhu; Xingyu Liu; Fei Chen (ISAIMS, 2024)

A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation. - Yaoting Yue; Nan Li; Gaobo Zhang; Wenyu Xing; Zhibin Zhu; Xin Liu 003; Shaoli Song; Dean Ta (Comput. Methods Programs Biomed., 2024)

Practical robust fixed-time containment control for multi-agent systems under actuator faults. - Zhibin Zhu; Yanhui Yin; Fuyong Wang; Zhongxin Liu 001; Zengqiang Chen 001 (Expert Syst. Appl., 2024)

An accelerated conjugate gradient method with adaptive two-parameter with applications in image restoration. - Zhibin Zhu; Xiaowen Zhu; Zhen Tan (Comput. Appl. Math., 2024)

Impulse Noise Image Restoration Using Nonconvex Variational Model and Difference of Convex Functions Algorithm. - Benxin Zhang; Guopu Zhu; Zhibin Zhu; Hongli Zhang 001; Yicong Zhou; Sam Kwong (IEEE Trans. Cybern., 2024)

Fast Support Vector Machine With Low-Computational Complexity for Large-Scale Classification. - Huajun Wang; Zhibin Zhu; Yuanhai Shao 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Proximal alternating minimization method for Poisson noise removal. - Xiao Guo; Chuanpei Xu; Zhibin Zhu; Benxin Zhang (Signal Image Video Process., 2024)

On the Extension of Dai-Liao Conjugate Gradient Method for Vector Optimization. - Qingjie Hu; Ruyun Li; Yanyan Zhang; Zhibin Zhu (J. Optim. Theory Appl., 2024)

Efficient image and video processing via symmetric inertial proximal ADMM with RPCA model. - Zhibin Zhu; Ying Liu; Jia-Qi Huang; Yue-Hong Ding (Neurocomputing, 2025)

An efficient modified conjugate gradient algorithm under Wolfe conditions with applications in compressive sensing. - Zhibin Zhu; Jiaqi Huang; Ying Liu; Yuehong Ding (J. Comput. Appl. Math., 2025)

Fuzzy Adaptive Group Formation-Containment Tracking Control of Nonlinear Multiagent Systems With Intermittent Actuator Faults. - Zhibin Zhu; Yunbiao Jiang; Zhongxin Liu 001; Fuyong Wang (IEEE Trans. Fuzzy Syst., 2025)

CRED-SQL: Enhancing Real-world Large Scale Database Text-to-SQL Parsing through Cluster Retrieval and Execution Description. - Shaoming Duan; Zirui Wang; Chuanyi Liu; Zhibin Zhu; Yuhao Zhang; Peiyi Han; Liang Yan; Zewu Peng (CoRR, 2025)