Evaluating the eclogical condition in Shenzhen city, China, using a quantitative model. - Shiqiang Du; Deyong Yu; Peijun Shi; Bin Xun (IGARSS, 2010)

An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images. - Yurun Ma; Li Wang; Yide Ma; Min Dong 003; Shiqiang Du; Xiaoguang Sun (Int. J. Comput. Assist. Radiol. Surg., 2016)

Robust unsupervised feature selection via matrix factorization. - Shiqiang Du; Yide Ma; Shouliang Li; Yurun Ma (Neurocomputing, 2017)

Graph regularized compact low rank representation for subspace clustering. - Shiqiang Du; Yide Ma; Yurun Ma (Knowl. Based Syst., 2017)

SCM-motivated enhanced CV model for mass segmentation from coarse-to-fine in digital mammography. - Ya'nan Guo 001; Xiaoli Gao; Zhen Yang; Jing Lian 001; Shiqiang Du; Huaiqing Zhang; Yide Ma (Multim. Tools Appl., 2018)

Robust Tensor Factorization for Color Image and Grayscale Video Recovery. - Shiqiang Du; Yuqing Shi; Wenjin Hu 001; Weilan Wang; Jing Lian 001 (IEEE Access, 2020)

Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm. - Qingjiang Xiao; Shiqiang Du; Jinmei Song; Yao Yu; Yixuan Huang (IEEE Access, 2021)

Tensor low-rank sparse representation for tensor subspace learning. - Shiqiang Du; Yuqing Shi; Guangrong Shan; Weilan Wang; Yide Ma (Neurocomputing, 2021)

Unifying tensor factorization and tensor nuclear norm approaches for low-rank tensor completion. - Shiqiang Du; Qingjiang Xiao; Yuqing Shi; Rita Cucchiara; Yide Ma (Neurocomputing, 2021)

Dunhuang Mural Line Drawing Based on Bi-Dexined Network and Adaptive Weight Learning. - Baokai Liu; Shiqiang Du; Jiacheng Li; Jianhua Wang; Wenjie Liu (PRCV (1), 2022)

Hyper-Laplacian regularized multi-view subspace clustering with jointing representation learning and weighted tensor nuclear norm constraint. - Qingjiang Xiao; Shiqiang Du; Yao Yu; Yixuan Huang; Jinmei Song (J. Intell. Fuzzy Syst., 2022)

Enhanced tensor low-rank representation for clustering and denoising. - Shiqiang Du; Baokai Liu; Guangrong Shan; Yuqing Shi; Weilan Wang (Knowl. Based Syst., 2022)

Multi-view Clustering Based on Low-rank Representation and Adaptive Graph Learning. - Yixuan Huang; Qingjiang Xiao; Shiqiang Du; Yao Yu (Neural Process. Lett., 2022)

Preventing Dimensional Collapse of Incomplete Multi-View Clustering via Direct Contrastive Learning. - Kaiwu Zhang; Shiqiang Du; Baokai Liu; Shengxia Gao (CoRR, 2023)

Multi-stage Progressive Reasoning for Dunhuang Murals Inpainting. - Wenjie Liu; Baokai Liu; Shiqiang Du; Yuqing Shi; Jiacheng Li; Jianhua Wang (CoRR, 2023)

Adaptive sparse graph learning for multi-view spectral clustering. - Qingjiang Xiao; Shiqiang Du; Kaiwu Zhang; Jinmei Song; Yixuan Huang (Appl. Intell., 2023)

Incomplete multi-view clustering based on low-rank representation with adaptive graph regularization. - Kaiwu Zhang; Baokai Liu; Shiqiang Du; Yao Yu; Jinmei Song (Soft Comput., 2023)

Dunhuang murals contour generation network based on convolution and self-attention fusion. - Baokai Liu; Fengjie He; Shiqiang Du; Kaiwu Zhang; Jianhua Wang (Appl. Intell., 2023)

Progressive Dunhuang murals inpainting based on recurrent feature reasoning network. - Jiacheng Li; Jianhua Wang; Wenjie Liu; Shengxia Gao; Shiqiang Du (J. Intell. Fuzzy Syst., 2023)

An advanced YOLOv3 method for small object detection. - Baokai Liu; Fengjie He; Shiqiang Du; Jiacheng Li; Wenjie Liu (J. Intell. Fuzzy Syst., 2023)

Multi-view spectral clustering based on adaptive neighbor learning and low-rank tensor decomposition. - Qingjiang Xiao; Shiqiang Du; Baokai Liu; Yao Yu; Jinmei Song (Multim. Tools Appl., 2023)

Dunhuang Mural Line Drawing Based on Multi-scale Feature Fusion and Sharp Edge Learning. - Jianhua Wang; Jiacheng Li; Wenjie Liu; Shiqiang Du; Shengxia Gao (Neural Process. Lett., 2023)

Semi-supervised Multi-view Clustering Based on Non-negative Matrix Factorization and Low-Rank Tensor Representation. - Yao Yu; Baokai Liu; Shiqiang Du; Jinmei Song; Kaiwu Zhang (Neural Process. Lett., 2023)

Deep incomplete multi-view clustering via attention-based direct contrastive learning. - Kaiwu Zhang; Shiqiang Du; Yaoying Wang; Tao Deng (Expert Syst. Appl., 2024)

Multi-view spectral clustering based on constrained Laplacian rank. - Jinmei Song; Baokai Liu; Yao Yu; Kaiwu Zhang; Shiqiang Du (Mach. Vis. Appl., 2024)

Remote Sensing Images Change Detection Using Triple Attention Mechanism to Aggregate Global and Local Features. - Chenyin Ding; Qianwen Cheng; Yukun Lin; Jia Yu; Shiqiang Du; Bo Du 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Adversarial Diffusion Network for Dunhuang Mural Inpainting. - Jing Lian 001; Jibao Zhang; Shiqiang Du; Qidong Liu 001; Jizhao Liu (IEEE Trans. Circuits Syst. Video Technol., 2025)

Texture and geometric feature-fusion-based network for Dunhuang mural inpainting. - Yutong Hou; Shiqiang Du; Huaikun Zhang; Jizhao Liu; Jinying Liu; Jing Lian 001 (Signal Process., 2026)