Uncorrelated Discriminant Locality Aware Embedding for Face Recognition. - Songjiang Lou; Guoyin Zhang; Qingjun Wang (CSIE (4), 2009)

Face recognition based on Log-Gabor and uncorrelated LDE. - Qingjun Wang; Rubo Zhang (ICNC, 2010)

A flexible 3D cerebrovascular extraction from TOF-MRA images. - Yun Tian 002; Fuqing Duan; Ke Lu 002; Mingquan Zhou; Zhongke Wu; Qingjun Wang; Lin Sun 002; Lizhi Xie (Neurocomputing, 2013)

Supervised multiview learning based on simultaneous learning of multiview intact and single view classifier. - Qingjun Wang; Haiyan Lv; Jun Yue; Eugene Mitchell (Neural Comput. Appl., 2017)

The influence of photo elements on EEG signal recognition. - Qingjun Wang; Yibo Li; Xueping Liu 001 (EURASIP J. Image Video Process., 2018)

Research and Improvement of Content-Based Image Retrieval Framework. - Yong Hou; Qingjun Wang (Int. J. Pattern Recognit. Artif. Intell., 2018)

Multi-View Hierarchical Bidirectional Recurrent Neural Network for Depth Video Sequence Based Action Recognition. - Xueping Liu 001; Yibo Li; Qingjun Wang (Int. J. Pattern Recognit. Artif. Intell., 2018)

Analysis of Feature Fatigue EEG Signals Based on Wavelet Entropy. - Qingjun Wang; Yibo Li; Xueping Liu 001 (Int. J. Pattern Recognit. Artif. Intell., 2018)

GA for QoS Satisfaction Degree Optimal Web Service Composition Selection Model. - Minghua Chen; Qingjun Wang; Wei Sun; Xiaoying Song; Na Chu (BESC, 2019)

Pseudo-3D Network for Multi-sequence Cardiac MR Segmentation. - Tao Liu 026; Yun Tian 002; Shifeng Zhao; Xiaoying Huang; Yang Xu; Gaoyuan Jiang; Qingjun Wang (STACOM@MICCAI, 2019)

SAR Image Invariant Feature Extraction by Anisotropic Diffusion and Multi-Gray Level Simplified PCNN. - Guangjie Kou; Jun Yue; Yunyan Ma; Qingjun Wang; Zhiwang Zhang (IEEE Access, 2019)

Automatic Whole Heart Segmentation Using a Two-Stage U-Net Framework and an Adaptive Threshold Window. - Tao Liu 026; Yun Tian 002; Shifeng Zhao; Xiaoying Huang; Qingjun Wang (IEEE Access, 2019)

Research on Application of Artificial Intelligence in Computer Network Technology. - Qingjun Wang; Peng Lu (Int. J. Pattern Recognit. Artif. Intell., 2019)

A new method of online extreme learning machine based on hybrid kernel function. - Senyue Zhang; Wenan Tan; Qingjun Wang; Nan Wang (Neural Comput. Appl., 2019)

Residual Convolutional Neural Network for Cardiac Image Segmentation and Heart Disease Diagnosis. - Tao Liu 026; Yun Tian 002; Shifeng Zhao; Xiaoying Huang; Qingjun Wang (IEEE Access, 2020)

Direct full quantification of the left ventricle via multitask regression and classification. - Xiaoying Huang; Yun Tian 002; Shifeng Zhao; Tao Liu 026; Wei Wang; Qingjun Wang (Appl. Intell., 2021)

The Influence of Complexity of Imported Products on Total Factor Productivity. - Nan Wang; Wei Liu; Shanwu Sun; Qingjun Wang (Mob. Inf. Syst., 2021)

Advanced Machine-Learning Methods for Brain-Computer Interfacing. - Zhihan Lv; Liang Qiao 003; Qingjun Wang; Francesco Piccialli (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Diversified Technologies in Internet of Vehicles Under Intelligent Edge Computing. - Zhihan Lv; Dongliang Chen; Qingjun Wang (IEEE Trans. Intell. Transp. Syst., 2021)

Big Data Analysis Technology for Electric Vehicle Networks in Smart Cities. - Zhihan Lv; Liang Qiao 003; Ken Cai; Qingjun Wang (IEEE Trans. Intell. Transp. Syst., 2021)

AI-empowered IoT Security for Smart Cities. - Zhihan Lv; Liang Qiao 003; Amit Kumar Singh 001; Qingjun Wang (ACM Trans. Internet Techn., 2021)

Cognitive Robotics on 5G Networks. - Zhihan Lv; Liang Qiao 003; Qingjun Wang (ACM Trans. Internet Techn., 2021)

Fine-Grained Visual Computing Based on Deep Learning. - Zhihan Lv; Liang Qiao 003; Amit Kumar Singh 001; Qingjun Wang (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Emergency lane vehicle detection and classification method based on logistic regression and a deep convolutional network. - Guangming Li; Qingjun Wang; Congrui Zuo (Neural Comput. Appl., 2022)

Research on the effect of government media and users' emotional experience based on LSTM deep neural network. - Nan Wang; Xinlong Lv; Shanwu Sun; Qingjun Wang (Neural Comput. Appl., 2022)

Control method of robot detour obstacle based on EEG. - Qingjun Wang; Zhendong Mu; Ling Jin (Neural Comput. Appl., 2022)

Transfer Learning-powered Resource Optimization for Green Computing in 5G-Aided Industrial Internet of Things. - Zhihan Lv; Ranran Lou; Amit Kumar Singh 001; Qingjun Wang (ACM Trans. Internet Techn., 2022)

Multi-modality Multi-attention Network for Ventricular Arrhythmia Classification. - Zhimin Xu; Mujun Zang; Tong Liu; Shusen Zhou; Chanjuan Liu; Qingjun Wang (BIC, 2023)

Eye tracking method based on mobile big data in computer environment. - Qingjun Wang; Zhendong Mu (J. Electronic Imaging, 2023)

WVDL: Weighted Voting Deep Learning Model for Predicting RNA-Protein Binding Sites. - Zhengsen Pan; Shusen Zhou; Tong Liu; Chanjuan Liu; Mujun Zang; Qingjun Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction. - Zhengsen Pan; Shusen Zhou; Hailin Zou; Chanjuan Liu; Mujun Zang; Tong Liu; Qingjun Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Intelligent Dynamic Test System for Vehicle Engine Based on 5G Internet of Things. - Qingjun Wang; Mingqiang Chen; Jiapeng Zhao; Qipeng Yao (IEEE Consumer Electron. Mag., 2023)

Graph attention network with convolutional layer for predicting gene regulations from single-cell ribonucleic acid sequence data. - Junjiang Liu; Shusen Zhou; Jing Ma; Mujun Zang; Chanjuan Liu; Tong Liu; Qingjun Wang (Eng. Appl. Artif. Intell., 2024)

TSVM: Transfer Support Vector Machine for Predicting MPRA Validated Regulatory Variants. - Minglie Li; Shusen Zhou; Tong Liu; Chanjuan Liu; Mujun Zang; Qingjun Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Parallel Convolutional Contrastive Learning Method for Enzyme Function Prediction. - Xindi Yu; Shusen Zhou; Mujun Zang; Qingjun Wang; Chanjuan Liu; Tong Liu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)