Existence and global stability of a periodic solution for a cellular neural network. - Lixia Wang; Jianmei Zhang; Haijian Shao (Commun. Nonlinear Sci. Numer. Simul., 2014)

Efficient 3D face recognition using local covariance descriptor and Riemannian kernel sparse coding. - Xing Deng; Feipeng Da; Haijian Shao (Comput. Electr. Eng., 2017)

Expression-robust 3D face recognition based on feature-level fusion and feature-region fusion. - Xing Deng; Feipeng Da; Haijian Shao (Multim. Tools Appl., 2017)

Adaptive feature selection based on reconstruction residual and accurately located landmarks for expression-robust 3D face recognition. - Xing Deng; Feipeng Da; Haijian Shao (Signal Image Video Process., 2017)

A multi-scale three-dimensional face recognition approach with sparse representation-based classifier and fusion of local covariance descriptors. - Xing Deng; Feipeng Da; Haijian Shao; Yingtao Jiang (Comput. Electr. Eng., 2020)

CNN-Based Hidden-Layer Topological Structure Design and Optimization Methods for Image Classification. - Jian Liu; Haijian Shao; Yingtao Jiang; Xing Deng (Neural Process. Lett., 2022)

Anomaly Detection of UAV State Data Based on Single-class Triangular Global Alignment Kernel Extreme Learning Machine. - Feisha Hu; Qi Wang 092; Haijian Shao; Shang Gao 001; Hualong Yu (CoRR, 2023)

Mental Health Diagnosis in the Digital Age: Harnessing Sentiment Analysis on Social Media Platforms upon Ultra-Sparse Feature Content. - Haijian Shao; Ming Zhu 017; Shengjie Zhai (CoRR, 2023)

MNIST Handwritten Digit Classification Based on Convolutional Neural Network with Hyperparameter Optimization. - Haijian Shao; Edwin Ma; Ming Zhu 017; Xing Deng; Shengjie Zhai (Intell. Autom. Soft Comput., 2023)

A graphical approach for filter pruning by exploring the similarity relation between feature maps. - Jiang Li; Haijian Shao; Shengjie Zhai; Yingtao Jiang; Xing Deng (Pattern Recognit. Lett., 2023)

Multi-scale feature fusion for histopathological image categorisation in breast cancer. - Yingping Wang; Xing Deng; Haijian Shao; Yingtao Jiang (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

An Unsupervised End-to-End Recursive Cascaded Parallel Network for Image Registration. - Longjian Wang; Haijian Shao; Xing Deng (Neural Process. Lett., 2023)

VulCoBERT: A CodeBERT-Based System for Source Code Vulnerability Detection. - Yuying Xia; Haijian Shao; Xing Deng (GAIIS, 2024)

Efficient filter pruning: Reducing model complexity through redundancy graph decomposition. - Jiang Li; Haijian Shao; Xing Deng; Yingtao Jiang (Neurocomputing, 2024)

Hierarchical decomposition-based underwater image enhancement network with auxiliary gradient guidance. - Jing Xie; Xing Deng; Haijian Shao; Yingtao Jiang (J. Electronic Imaging, 2024)

Integrating frequency limitation and feature refinement for robust 3D Gaussian segmentation. - Xinyu Hu; Haijian Shao; Xing Deng; Yingtao Jiang; Fei Wang (Comput. Electr. Eng., 2025)

Adaptive convolutional network pruning through pixel-level cross-correlation and channel independence for enhanced model compression. - Guangyao Li; Haijian Shao; Xing Deng; Yingtao Jiang (Eng. Appl. Artif. Intell., 2025)

Robust novel view synthesis from multi-view feature stereo matching priors. - Jianxin Wang; Haijian Shao; Xing Deng; Shuheng Lian (Multim. Syst., 2025)

PIDSNeRF: pose interpolation depth supervision neural radiance fields for view synthesis from challenging input. - Jianxin Wang; Haijian Shao; Xing Deng; Yingtao Jiang (Multim. Tools Appl., 2025)

ImpRes: implicit residual diffusion models for image super-resolution. - Shiyun Zhang; Xing Deng; Haijian Shao; Yingtao Jiang (Vis. Comput., 2025)