Data classification from the inverse nth power gravitation. - Huarong Xu; Xiaodong Wang 010; Zhiqiang Zeng; Qiu Fang (Sci. China Inf. Sci., 2012)

Semi-supervised feature selection based on local discriminative information. - Zhiqiang Zeng; Xiaodong Wang 010; Jian Zhang; Qun Wu (Neurocomputing, 2016)

Semi-supervised feature selection with exploiting shared information among multiple tasks. - Xiao-Dong Wang 010; Rung-Ching Chen; Fei Yan; Zhi-qiang Zeng (J. Vis. Commun. Image Represent., 2016)

Hypergraph regularized autoencoder for image-based 3D human pose recovery. - Chaoqun Hong; Xuhui Chen; Xiaodong Wang 010; Chaohui Tang (Signal Process., 2016)

Fast and robust K-means clustering via feature learning on high-dimensional data. - Xiao-Dong Wang 010; Rung-Ching Chen; Fei Yan (iCAST, 2017)

Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embedding. - Xiao-Dong Wang 010; Rung-Ching Chen; Chaoqun Hong; Zhi-qiang Zeng; Zhi-li Zhou (Image Vis. Comput., 2017)

Multimedia annotation via semi-supervised shared-subspace feature selection. - Zhiqiang Zeng; Xiaodong Wang 010; Yuming Chen (J. Vis. Commun. Image Represent., 2017)

Semi-supervised adaptive feature analysis and its application for multimedia understanding. - Xiao-Dong Wang 010; Rung-Ching Chen; Fei Yan; Zhi-qiang Zeng; Chaoqun Hong (Multim. Tools Appl., 2018)

Robust Discriminative multi-view K-means clustering with feature selection and group sparsity learning. - Zhiqiang Zeng; Xiaodong Wang 010; Fei Yan; Yuming Chen; Chaoqun Hong (Multim. Tools Appl., 2018)

Two-stream person re-identification with multi-task deep neural networks. - Liang Hu; Chaoqun Hong; Zhiqiang Zeng; Xiaodong Wang 010 (Mach. Vis. Appl., 2018)

Unsupervised feature analysis with sparse adaptive learning. - Xiao-Dong Wang 010; Rung-Ching Chen; Chaoqun Hong; Zhi-qiang Zeng (Pattern Recognit. Lett., 2018)

Domain adaptation with low-rank alignment for weakly supervised hand pose recovery. - Chaoqun Hong; Zhiqiang Zeng; Rongsheng Xie; Weiwei Zhuang; Xiaodong Wang 010 (Signal Process., 2018)

Fast Adaptive K-Means Subspace Clustering for High-Dimensional Data. - Xiao-Dong Wang 010; Rung-Ching Chen; Fei Yan; Zhi-qiang Zeng; Chaoqun Hong (IEEE Access, 2019)

High-dimensional Data Clustering Using K-means Subspace Feature Selection. - Xiao-Dong Wang 010; Rung-Ching Chen; Fei Yan (J. Netw. Intell., 2019)

Local adaptive learning for semi-supervised feature selection with group sparsity. - Zhiqiang Zeng; Xiaodong Wang 010; Fei Yan; Yuming Chen (Knowl. Based Syst., 2019)

Robust Dimension Reduction for Clustering With Local Adaptive Learning. - Xiao-Dong Wang 010; Rung-Ching Chen; Zhi-qiang Zeng; Chaoqun Hong; Fei Yan (IEEE Trans. Neural Networks Learn. Syst., 2019)

FSRGAN-DB: Super-resolution Reconstruction Based on Facial Prior Knowledge. - Wengang Zhou; Chaoqun Hong; Xiaodong Wang 010; Zhiqiang Zeng (IEEE BigData, 2020)

Adaptive multi-view subspace clustering for high-dimensional data. - Fei Yan; Xiao-Dong Wang 010; Zhi-qiang Zeng; Chao-qun Hong (Pattern Recognit. Lett., 2020)

Multi-input-output Fusion Attention Module for Deblurring Networks. - Yiqing Fan; Chaoqun Hong; Xiaodong Wang 010; Zhiqiang Zeng; Zetian Guo (IEEE BigData, 2021)

Compact Deep Neural Networks via Soft and Smooth Filter Pruning. - Zonghui Fu; Xiaodong Wang 010; Wei Li 013; Zhiqiang Zeng (DSIE, 2021)

A Robust Defect Detection Method with Dense Differential Siamese Network. - Juntao He; Xiaodong Wang 010; Zhiqiang Zeng; Fei Yan (DSIE, 2021)

Anomaly Detection for Imbalanced Data via Deep Neural Network with Concentrated Loss. - Yanli Wang; Xiaodong Wang 010; Xianwei Xu; Fei Yan; Zhiqiang Zeng (DSIE, 2021)

Joint image clustering and feature selection with auto-adjoined learning for high-dimensional data. - Xiaodong Wang 010; Pengtao Wu; Qinghua Xu; Zhiqiang Zeng; Yong Xie (Knowl. Based Syst., 2021)

Unsupervised Defect Detection for Medical Syringe Using Denoising Convolutional Autoencoder. - Pengtao Wu; Xiaodong Wang 010; Fei Yan; Zhiqiang Zeng (DSIE, 2022)

Non-Contact Extensometer Deformation Detection via Deep Learning and Edge Feature Analysis. - Qinghua Xu; Xiaodong Wang 010; Fei Yan; Zhiqiang Zeng (DSIE, 2022)

Two-stage deep neural network with joint loss and multi-level representations for defect detection. - Xiaodong Wang 010; Yanli Wang; Xianwei Xu; Fei Yan; Zhiqiang Zeng (J. Electronic Imaging, 2022)

Soft Person Reidentification Network Pruning via Blockwise Adjacent Filter Decaying. - Xiao-Dong Wang 010; Zhedong Zheng; Yang He 002; Fei Yan; Zhiqiang Zeng; Yi Yang 001 (IEEE Trans. Cybern., 2022)

Two-stage natural scene image classification with noise discovering and label-correlation mining. - Zhiqiang Zeng; Xiao-Dong Wang 010; Wei Li 013; Yuandi Ye (Knowl. Based Syst., 2023)

Progressive Local Filter Pruning for Image Retrieval Acceleration. - Xiaodong Wang 010; Zhedong Zheng; Yang He 002; Fei Yan; Zhiqiang Zeng; Yi Yang 001 (IEEE Trans. Multim., 2023)

A robust defect detection method for syringe scale without positive samples. - Xiaodong Wang 010; Xianwei Xu; Yanli Wang; Pengtao Wu; Fei Yan; Zhiqiang Zeng (Vis. Comput., 2023)