Sparse Maximum Margin Discriminant Analysis for Gene Selection. - Yan Cui 007; Jian Yang 003; Chun-Hou Zheng 001 (ICIC (3), 2011)

Dimensionality Reduction for Microarray Data Using Local Mean Based Discriminant Analysis. - Yan Cui 007; Chun-Hou Zheng 001; Jian Yang 003 (ICIC (2), 2013)

Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data. - Yan Cui 007; Chun-Hou Zheng 001; Jian Yang 003; Wen Sha (Comput. Biol. Medicine, 2013)

A novel supervised feature extraction and classification fusion algorithm for land cover recognition of the off-land scenario. - Yan Cui 007; Zhong Jin; Jielin Jiang (Neurocomputing, 2014)

Mixed noise removal by weighted low rank model. - Jielin Jiang; Jian Yang 003; Yan Cui 007; Lei Luo 001 (Neurocomputing, 2015)

Sparse nonlocal priors based two-phase approach for mixed noise removal. - Jielin Jiang; Jian Yang 003; Yan Cui 007; Wai Keung Wong; Zhihui Lai 001 (Signal Process., 2015)

Biclustering of Gene Expression Data Based on Binary Artificial Fish Swarm Algorithm. - Rui Zhang; Huacheng Gao; Yinqiu Liu; Yuanyuan Lu; Yan Cui 007 (CCIS, 2018)

A Novel Nonlocal Low Rank Technique for Fabric Defect Detection. - Jielin Jiang; Yan Cui 007; Yadang Chen; Guangwei Gao (ICCCS (4), 2018)

Fast Three-Phase Fabric Defect Detection. - Jielin Jiang; Yan Cui 007; Zilong Jin; Chunnian Fan (ICCCS (4), 2018)

An integrated optimisation algorithm for feature extraction, dictionary learning and classification. - Yan Cui 007; Jielin Jiang; Zhihui Lai 001; Wai Keung Wong; Zuojin Hu (Neurocomputing, 2018)

Supervised discrete discriminant hashing for image retrieval. - Yan Cui 007; Jielin Jiang; Zhihui Lai 001; Zuojin Hu; Wai Keung Wong (Pattern Recognit., 2018)

New semi-supervised classification using a multi-modal feature joint L21-norm based sparse representation. - Yan Cui 007; Jielin Jiang; Zhihui Lai 001; Zuojin Hu; Yuquan Jiang; Wai Keung Wong (Signal Process. Image Commun., 2018)

Neighborhood kinship preserving hashing for supervised learning. - Yan Cui 007; Jielin Jiang; Zuojin Hu; Xiaoyan Jiang; Wuxia Yan; Min-Ling Zhang (Signal Process. Image Commun., 2019)

A Novel Clustering-Framework of Gene Expression Data Based on the Combination Between Deep Learning and Self-organizing Map. - Yan Cui 007; Huacheng Gao; Rui Zhang; Yuanyuan Lu; Yuan Xue; Chun-Hou Zheng 001 (ICIC (2), 2020)

A Sobel Operator Combined with Patch Statistics Algorithm for Fabric Defect Detection. - Jielin Jiang; Zilong Jin; Boheng Wang; Li Ma; Yan Cui 007 (KSII Trans. Internet Inf. Syst., 2020)

A novel biclustering of gene expression data based on hybrid BAFS-BSA algorithm. - Yan Cui 007; Rui Zhang; Huacheng Gao; Yuanyuan Lu; Yinqiu Liu; Guangwei Gao (Multim. Tools Appl., 2020)

A Novel Efficient Discriminative Projection Learning for Big Data. - Yan Cui 007; Jielin Jiang; Xiaoyan Jiang; Yue Dai (DASC/PiCom/CBDCom/CyberSciTech, 2022)

A Roberts cross operator combined with mathematical morphology algorithm for fabric defect detection. - Jielin Jiang; Chao Cui; Boheng Wang; Yan Cui 007; Li Ma (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Exploration of the Teaching and Learning Model for College Students with Autism Based on Visual Perception - A Case Study in Nanjing Normal University of Special Education. - Yan Cui 007; Xiaoyan Jiang; Yue Dai; Zuojin Hu (ICMTEL (4), 2023)

SDAUNet: A simple dual attention mechanism UNet for mixed noise removal. - Jielin Jiang; Xiangming Hong; Yingnan Zhao; Xiaonglong Xu; Yan Cui 007 (IET Image Process., 2023)

Masked Swin Transformer Unet for Industrial Anomaly Detection. - Jielin Jiang; Jiale Zhu; Muhammad Bilal 003; Yan Cui 007; Neeraj Kumar 001; Ruihan Dou; Feng Su; Xiaolong Xu 001 (IEEE Trans. Ind. Informatics, 2023)

Federated Learning-Based Cross-Enterprise Recommendation With Graph Neural Networks. - Zheng Li 026; Muhammad Bilal 003; Xiaolong Xu 001; Jielin Jiang; Yan Cui 007 (IEEE Trans. Ind. Informatics, 2023)

A serial attention module-based deep convolutional neural network for mixed Gaussian-impulse removal. - Jielin Jiang; Kang Yang; Xiaolong Xu 001; Yan Cui 007 (IET Image Process., 2023)

Energy-saving Service Offloading for the Internet of Medical Things Using Deep Reinforcement Learning. - Jielin Jiang; Jiajie Guo; Maqbool Khan; Yan Cui 007; Wenmin Lin (ACM Trans. Sens. Networks, 2023)

Transformer-Based Fused Attention Combined with CNNs for Image Classification. - Jielin Jiang; Hongxiang Xu; Xiaolong Xu 001; Yan Cui 007; Jintao Wu (Neural Process. Lett., 2023)

Multi-Layer Feature Extraction with Deformable Convolution for Fabric Defect Detection. - Jielin Jiang; Chao Cui; Xiaolong Xu 001; Yan Cui 007 (Intell. Autom. Soft Comput., 2024)

Unsupervised Anomaly Detection and Localization Based on Two-Hierarchy Normalizing Flow. - Jielin Jiang; Shun Wei; Xiaolong Xu 001; Yan Cui 007; Xiying Liu (IEEE Trans. Instrum. Meas., 2024)

Asymmetric Teacher-Student Feature Pyramid Matching for Industrial Anomaly Detection. - Jiale Zhu; Peiyi Yan; Jielin Jiang; Yan Cui 007; Xiaolong Xu 001 (IEEE Trans. Instrum. Meas., 2024)

A Knowledge-Driven Anomaly Detection Framework for Social Production System. - Zheng Li 026; Xiaolong Xu 001; Tian Hang; Haolong Xiang; Yan Cui 007; Lianyong Qi; Xiaokang Zhou (IEEE Trans. Comput. Soc. Syst., 2024)

Self-Labeling Learning Ensemble via Deep Recurrent Neural Network and Self-Representation for Speech Emotion Recognition. - Yan Cui 007; Xiaoyan Jiang; Yue Dai (Int. J. Pattern Recognit. Artif. Intell., 2024)

Localize-diffusion based dual-branch anomaly detection. - Jielin Jiang; Xiying Liu; Peiyi Yan; Shun Wei; Yan Cui 007 (Neural Networks, 2025)