A Parameterless Penalty Rule-Based Fitness Estimation for Decomposition-Based Many-Objective Optimization Evolutionary Algorithm. - Junhua Liu; Yuping Wang 003; Shiwei Wei; Xiangjuan Wu; Wuning Tong (IEEE Access, 2019)

A New Hybrid Algorithm for Solving Large Scale Global Optimization Problems. - Xiangjuan Wu; Yuping Wang 003; Junhua Liu; Ninglei Fan (IEEE Access, 2019)

A Symmetric Points Search and Variable Grouping Method for Large-scale Multi-objective Optimization. - Dandan Tang; Yu-Ping Wang 003; Xiangjuan Wu; Yiu-ming Cheung (CEC, 2020)

A new filled function method based on adaptive search direction and valley widening for global optimization. - Xiangjuan Wu; Yuping Wang 003; Ninglei Fan (Appl. Intell., 2021)

A Reference Point Selection and Direction Guidance-Based Algorithm for Large-Scale Multi-Objective Optimization. - Xiangjuan Wu; Yuping Wang 003; Shuai Tian; Ziqing Wang (Int. J. Pattern Recognit. Artif. Intell., 2021)

A centerline symmetry and double-line transformation based algorithm for large-scale multi-objective optimization. - Xiangjuan Wu; Yuping Wang 003; Ziqing Wang (Connect. Sci., 2022)

A distributed storage MLCS algorithm with time efficient upper bound and precise lower bound. - Chunyang Wang; Yuping Wang 003; Xiangjuan Wu; Xiaofang Guo (Inf. Sci., 2022)

HeadDiff: Exploring Rotation Uncertainty With Diffusion Models for Head Pose Estimation. - Yaoxing Wang; Hao Liu 019; Yaowei Feng; Zhendong Li; Xiangjuan Wu; Congcong Zhu (IEEE Trans. Image Process., 2024)

A learning and potential area-mining evolutionary algorithm for large-scale multi-objective optimization. - Xiangjuan Wu; Yuping Wang 003; Ziqing Wang (Expert Syst. Appl., 2024)