Some theoretical results about the computation time of evolutionary algorithms. - Lixin Ding; Jinghu Yu (GECCO, 2005)

An Analysis About the Asymptotic Convergence of Evolutionary Algorithms. - Lixin Ding; Jinghu Yu (CIS, 2006)

About the Computation Time of Adaptive Evolutionary Algorithms. - Lixin Ding; Jinghu Yu (ISICA, 2008)

Investigation of Different CNN-Based Models for Improved Bird Sound Classification. - Jie Xie 001; Kai Hu 005; Mingying Zhu; Jinghu Yu; Qibing Zhu (IEEE Access, 2019)

Investigation of CNN-based models for Frog Calling Activity Detection. - Jie Xie 001; Kai Hu 005; Harry Hines; Jinglan Zhang; Ya Guo 001; Jinghu Yu (ICSPCC, 2020)

On loss functions and CNNs for improved bioacoustic signal classification. - Jie Xie 001; Kai Hu 005; Ya Guo 001; Qibing Zhu; Jinghu Yu (Ecol. Informatics, 2021)

Enhanced feature Fusion structure of YOLO v5 for detecting small defects on metal surfaces. - Xingfei Zhu; Jiayi Liu; Xingyu Zhou; Shanhua Qian; Jinghu Yu (Int. J. Mach. Learn. Cybern., 2023)

Detection of irregular small defects on metal base surface of infrared laser diode based on deep learning. - Xingfei Zhu; Jiayi Liu; Xingyu Zhou; Shanhua Qian; Jinghu Yu (Multim. Tools Appl., 2024)

Optimized Yolov8 feature fusion algorithm for dental disease detection. - Qimeng Wang; Xingfei Zhu; Zhaofei Sun; Bufan Zhang; Jinghu Yu; Shanhua Qian (Comput. Biol. Medicine, 2025)

Metal sensor base defects detection using deep learning based YOLO network. - Bufan Zhang; Xingfei Zhu; Jinghu Yu; Zhaofei Sun; Qimeng Wang (Signal Image Video Process., 2025)