Ensemble Prediction Algorithm of Anomaly Monitoring Based on Big Data Analysis Platform of Open-Pit Mine Slope. - Song Jiang 003; Minjie Lian; Caiwu Lu; Qinghua Gu; Shunling Ruan; Xuecai Xie (Complex., 2018)

A Robust Single-Sensor Face and Iris Biometric Identification System Based on Multimodal Feature Extraction Network. - Zhengding Luo; Qinghua Gu; Gege Qi; Song Liu; Yuesheng Zhu; Zhiqiang Bai (ICTAI, 2019)

Health and Safety Situation Awareness Model and Emergency Management Based on Multi-Sensor Signal Fusion. - Qinghua Gu; Song Jiang 003; Minjie Lian; Caiwu Lu (IEEE Access, 2019)

Study of spectral reflectance reconstruction based on regularization matrix R method. - Ke Wang 018; Huiqin Wang; Zhan Wang; Qinghua Gu; Ying Yin; Li Mao; Ying Lu (Clust. Comput., 2019)

Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization. - Qinghua Gu; Xuexian Li; Song Jiang 003 (Complex., 2019)

Location Optimization with Uncertainty for Industrial Project Using Discrete Block Model and Spatial Meshing Algorithm. - Qinghua Gu; Haiyan Xie; Raja R. A. Issa; Caiwu Lu (J. Comput. Civ. Eng., 2019)

A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification. - Qinghua Gu; Zhengding Luo; Yuesheng Zhu (ECAI, 2020)

Improved Hierarchical Clustering with Non-locally Enhanced Features for Unsupervised Person Re-identification. - Wanyu Zhao; Bairong Li; Qinghua Gu; Yuesheng Zhu (IJCNN, 2020)

MM-Net: Learning Adaptive Meta-metric for Few-Shot Biometric Recognition. - Qinghua Gu; Zhengding Luo; Wanyu Zhao; Yuesheng Zhu (MMM (1), 2021)

An Adaptive Face-Iris Multimodal Identification System Based on Quality Assessment Network. - Zhengding Luo; Qinghua Gu; Guoxiong Su; Yuesheng Zhu; Zhiqiang Bai (MMM (1), 2021)

Modified non-dominated sorting genetic algorithm III with fine final level selection. - Qinghua Gu; Rui Wang 017; Haiyan Xie; Xuexian Li; Song Jiang 003; Naixue Xiong (Appl. Intell., 2021)

Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees. - Qinghua Gu; Yinxin Chang; Naixue Xiong; Lu Chen 009 (Appl. Soft Comput., 2021)

A surrogate-assisted radial space division evolutionary algorithm for expensive many-objective optimization problems. - Qinghua Gu; Yufeng Zhou; Xuexian Li; Shunling Ruan (Appl. Soft Comput., 2021)

An improved assisted evolutionary algorithm for data-driven mixed integer optimization based on Two_Arch. - Qinghua Gu; Danna Wang; Song Jiang 003; Naixue Xiong; Yu Jin (Comput. Ind. Eng., 2021)

A novel F-SVM based on FOA for improving SVM performance. - Qinghua Gu; Yinxin Chang; Xinhong Li; Zhaozhao Chang; Zhidong Feng (Expert Syst. Appl., 2021)

Improved strength Pareto evolutionary algorithm based on reference direction and coordinated selection strategy. - Qinghua Gu; Siqi Chen; Song Jiang 003; Naixue Xiong (Int. J. Intell. Syst., 2021)

A many-objective evolutionary algorithm with reference points-based strengthened dominance relation. - Qinghua Gu; Huayang Chen; Lu Chen 009; Xinhong Li; Neal N. Xiong (Inf. Sci., 2021)

A surrogate-assisted multi-objective particle swarm optimization of expensive constrained combinatorial optimization problems. - Qinghua Gu; Qian Wang; Xuexian Li; Xinhong Li (Knowl. Based Syst., 2021)

An improved bagging ensemble surrogate-assisted evolutionary algorithm for expensive many-objective optimization. - Qinghua Gu; Xiaoyue Zhang; Lu Chen 009; Naixue Xiong (Appl. Intell., 2022)

An improved competitive particle swarm optimization for many-objective optimization problems. - Qinghua Gu; Yingyin Liu; Lu Chen 009; Naixue Xiong (Expert Syst. Appl., 2022)

A dynamic neighborhood balancing-based multi-objective particle swarm optimization for multi-modal problems. - Qinghua Gu; Qian Wang 026; Lu Chen 009; Xiaoguang Li; Xuexian Li (Expert Syst. Appl., 2022)

An improved NSGA-III algorithm based on distance dominance relation for many-objective optimization. - Qinghua Gu; Qingsong Xu; Xuexian Li (Expert Syst. Appl., 2022)

A novel Random Forest integrated model for imbalanced data classification problem. - Qinghua Gu; Jingni Tian; Xuexian Li; Song Jiang 003 (Knowl. Based Syst., 2022)

A constrained multi-objective evolutionary algorithm based on decomposition with improved constrained dominance principle. - Qinghua Gu; Jiaming Bai; Xuexian Li; Naixue Xiong; Caiwu Lu (Swarm Evol. Comput., 2022)

5G Private Network Deployment Optimization Based on RWSSA in Open-Pit Mine. - Zhaozhao Chang; Qinghua Gu; Caiwu Lu; Yanhong Zhang; Shunling Ruan; Song Jiang 003 (IEEE Trans. Ind. Informatics, 2022)

An adaptive evolutionary algorithm with coordinated selection strategies for many-objective optimization. - Qinghua Gu; Jiale Luo; Xuexian Li; Caiwu Lu (Appl. Intell., 2023)

A MOEA/D with global and local cooperative optimization for complicated bi-objective optimization problems. - Qian Wang 026; Qinghua Gu; Lu Chen 009; Yueping Guo; Naixue Xiong (Appl. Soft Comput., 2023)

A new ensemble classification approach based on Rotation Forest and LightGBM. - Qinghua Gu; Wenjing Sun; Xuexian Li; Song Jiang 003; Jingni Tian (Neural Comput. Appl., 2023)

An adaptive adjacent maximum distance crossover operator for multi-objective algorithms. - Qinghua Gu; Song Gao; Xuexian Li; Neal N. Xiong; Rongrong Liu (Soft Comput., 2023)

A quadratic association vector and dynamic guided operator search algorithm for large-scale sparse multi-objective optimization problem. - Qinghua Gu; Yixiao Sun; Qian Wang 026; Lu Chen 009 (Appl. Intell., 2023)

A chaotic differential evolution and symmetric direction sampling for large-scale multiobjective optimization. - Qinghua Gu; Siping Huang; Qian Wang; Xuexian Li; Di Liu (Inf. Sci., 2023)

An indicator preselection based evolutionary algorithm with auxiliary angle selection for many-objective optimization. - Qinghua Gu; Qing Zhou; Qian Wang 026; Neal N. Xiong (Inf. Sci., 2023)

Evolutionary many-objective algorithm with improved growing neural gas and angle-penalized distance for irregular problems. - Qinghua Gu; Dejun Pang; Qian Wang (Appl. Intell., 2023)

A direction vector-guided multi-objective evolutionary algorithm for variable linkages problems. - Qinghua Gu; Shaopeng Zhang; Qian Wang 026; Neal N. Xiong (Appl. Soft Comput., 2023)

A constrained multi-objective optimization algorithm based on coordinated strategy of archive and weight vectors. - Qinghua Gu; Ruchang Liu; Zegang Hui; Dan Wang (Expert Syst. Appl., 2024)

A MOEA/D with adaptive weight subspace for regular and irregular multi-objective optimization problems. - Qinghua Gu; Kexin Li; Dan Wang; Di Liu (Inf. Sci., 2024)

Multimodal multi-objective optimization based on local optimal neighborhood crowding distance differential evolution algorithm. - Qinghua Gu; Yifan Peng; Qian Wang; Song Jiang 003 (Neural Comput. Appl., 2024)

An improved weighted ensemble clustering based on two-tier uncertainty measurement. - Qinghua Gu; Yan Wang; Peipei Wang; Xuexian Li; Lu Chen 009; Neal N. Xiong; Di Liu (Expert Syst. Appl., 2024)

An adaptive boundary-based selection many-objective evolutionary algorithm with density estimation. - Jiale Luo; Chenxi Wang; Qinghua Gu; Qian Wang 026; Lu Chen 009 (Appl. Intell., 2024)

Objective transformation-based and niche-based many-objective evolutionary algorithm with a two-step coordination mechanism. - Jiale Luo; Qinghua Gu; Xuexian Li; Lu Chen 009 (Eng. Appl. Artif. Intell., 2025)

A hierarchical clustering algorithm for addressing multi-modal multi-objective optimization problems. - Qinghua Gu; Yiwen Niu; Zegang Hui; Qian Wang 026; Naixue Xiong (Expert Syst. Appl., 2025)

A multi/many-objective evolutionary algorithm based on normal-boundary intersection direction. - Qinghua Gu; Yu Chen; Dan Wang; Di Liu (Inf. Sci., 2025)

An enhanced competitive swarm optimizer with strongly robust sparse operator for large-scale sparse multi-objective optimization problem. - Qinghua Gu; Liyao Rong; Dan Wang; Di Liu (Inf. Sci., 2025)

A many-objective evolutionary algorithm based on indicator selection and adaptive angle estimation. - Qian Wang; Qinghua Gu; Qing Zhou; Naixue Xiong; Di Liu (Inf. Sci., 2025)