A Structural Formula Process Neural Networks and Its Applications. - Shaohua Xu; Xingui He; Bing Wang (J. Comput. Res. Dev., 2006)

A New Support Vector Machine Model and Its Application in Time-Varying Signal Classification. - Shaohua Xu; Bing Wang (ICNC (3), 2008)

Dim target detection and tracking based on empirical mode decomposition. - Hong Li 009; Shaohua Xu; Luoqing Li (Signal Process. Image Commun., 2008)

Investigation on the Correction Algorithm of Lamina Based on Bilinear Mapping. - Haiou Guan; Shaohua Xu (WGEC, 2009)

Time Series Forecasting Based on Cloud Process Neural Network. - Bing Wang; Shaohua Xu; Xiao Hong Yu; Panchi Li (Int. J. Comput. Intell. Syst., 2015)

Research on laser weld bonding of duel phase steel to aluminium alloy. - Dianwu Zhou; Ningning Li; Shaohua Xu; Jinshui Liu (Int. J. Manuf. Res., 2016)

A Sparse Auto Encoder Deep Process Neural Network Model and its Application. - Shaohua Xu; Jiwei Xue; Xuegui Li (Int. J. Comput. Intell. Syst., 2017)

Research and Application of Heavy-Equipment Parachute Rope Tension Sensor. - Min Yao; Yanhua Jin; Min Zhao 011; Shaohua Xu (J. Sensors, 2018)

A Probabilistic Process Neural Network and Its Application in ECG Classification. - Naidan Feng; Shaohua Xu; Yongquan Liang 001; Kun Liu 006 (IEEE Access, 2019)

A Parallel GRU Recurrent Network Model and its Application to Multi-Channel Time-Varying Signal Classification. - Shaohua Xu; Jingjing Li 005; Kun Liu 006; Lu Wu (IEEE Access, 2019)

A radial basis probabilistic process neural network model and corresponding classification algorithm. - Kun Liu 006; Shaohua Xu; Naidan Feng (Appl. Intell., 2019)

Automatic sedimentary microfacies identification from logging curves based on deep process neural network. - Hui Liu 025; Shaohua Xu; Xinmin Ge; Jianyu Liu; Muhammad Aleem Zahid (Clust. Comput., 2019)

A fuzzy process neural network model and its application in process signal classification. - Shaohua Xu; Kun Liu 006; Xuegui Li (Neurocomputing, 2019)

GAP: Genetic Algorithm Based Large-Scale Graph Partition in Heterogeneous Cluster. - Menghan Li; Huanqing Cui; Chuanai Zhou; Shaohua Xu (IEEE Access, 2020)

A CNN-RBPNN Model With Feature Knowledge Embedding and its Application to Time-Varying Signal Classification. - Lu Wu; Yinglong Wang; Shaohua Xu; Kun Liu 006; Xuegui Li (IEEE Access, 2020)

MENDA: a comprehensive curated resource of metabolic characterization in depression. - Juncai Pu; Yue Yu; Yiyun Liu; Lu Tian; Siwen Gui; Xiaogang Zhong; Chu Fan; Shaohua Xu; Xuemian Song; Lanxiang Liu; Lining Yang; Peng Zheng; et al. (Briefings Bioinform., 2020)

A burst-based unsupervised method for detecting review spammer groups. - Shujuan Ji; Qi Zhang; Jinpeng Li; Dickson K. W. Chiu; Shaohua Xu; Lei Yi; Maoguo Gong (Inf. Sci., 2020)

A Fuzzy Radial Basis Inference Network With Grouped Signal Feature Embedding and Its Application in Multi-Source Signals Classification. - Xianyu Zha; Shaohua Xu; Kun Liu 006; Long Huang (IEEE Access, 2021)

An RBF-LVQPNN model and its application to time-varying signal classification. - Lu Wu; Yinglong Wang; Shaohua Xu; Kun Liu 006; Xuegui Li (Appl. Intell., 2021)

A Fuzzy Radial Basis Adaptive Inference Network and Its Application to Time-Varying Signal Classification. - Long Huang; Shaohua Xu; Kun Liu 006; Ruiping Yang; Lu Wu (Comput. Intell. Neurosci., 2021)

A Generative Adversarial Network Fused with Dual-Attention Mechanism and Its Application in Multitarget Image Fine Segmentation. - Jian Yin 018; Zhibo Zhou; Shaohua Xu; Ruiping Yang; Kun Liu 006 (Comput. Intell. Neurosci., 2021)

Numerical computational modeling of random rough sea surface based on JONSWAP spectrum and Donelan directional function. - Gengkun Wu; Yongquan Liang; Shaohua Xu (Concurr. Comput. Pract. Exp., 2021)

A weighted fuzzy process neural network model and its application in mixed-process signal classification. - Shaohua Xu; Naidan Feng; Kun Liu 006; Yongquan Liang 001; Xiaoyu Liu (Expert Syst. Appl., 2021)

A CNN model embedded with local feature knowledge and its application to time-varying signal classification. - Ruiping Yang; Xianyu Zha; Kun Liu 006; Shaohua Xu (Neural Networks, 2021)

DMGA: A Distributed Shortest Path Algorithm for Multistage Graph. - Huanqing Cui; Ruixue Liu; Shaohua Xu; Chuanai Zhou (Sci. Program., 2021)

A dense R-CNN multi-target instance segmentation model and its application in medical image processing. - Ruiping Yang; Jiguo Yu; Jian Yin 018; Kun Liu 006; Shaohua Xu (IET Image Process., 2022)

An FA-SegNet Image Segmentation Model Based on Fuzzy Attention and Its Application in Cardiac MRI Segmentation. - Ruiping Yang; Jiguo Yu; Jian Yin 018; Kun Liu 006; Shaohua Xu (Int. J. Comput. Intell. Syst., 2022)

A 3D Grouped Convolutional Network Fused with Conditional Random Field and Its Application in Image Multi-target Fine Segmentation. - Jian Yin 018; Zhibo Zhou; Shaohua Xu; Ruiping Yang; Kun Liu 006 (Int. J. Comput. Intell. Syst., 2022)

The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning. - Qiqiang Zhong; Mengmeng Cui; Hanjie Mai; Qiang Zhang; Shaohua Xu; Xiangzheng Liu; Yanlong Du (CoRR, 2023)

A resource optimization scheduling model and algorithm for heterogeneous computing clusters based on GNN and RL. - Zhen Zhang; Chen Xu; Kun Liu; Shaohua Xu; Long Huang (J. Supercomput., 2024)

Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm. - Zhen Zhang; Chen Xu; Shaohua Xu; Long Huang; Jinyu Zhang 002 (J. Cloud Comput., 2024)

When wavelet decomposition meets external attention: a lightweight cloud server load prediction model. - Zhen Zhang; Chen Xu; Jinyu Zhang 002; Zhe Zhu; Shaohua Xu (J. Cloud Comput., 2024)