A Sustainable Service-Oriented B2C Framework for Small Businesses. - Xiaodong Liu 002; Hailiang Ye (SOSE, 2008)

A probabilistic learning algorithm for robust modeling using neural networks with random weights. - Feilong Cao; Hailiang Ye; Dianhui Wang 001 (Inf. Sci., 2015)

Recovering low-rank and sparse matrix based on the truncated nuclear norm. - Feilong Cao; Jiaying Chen; Hailiang Ye; Jianwei Zhao 004; Zhenghua Zhou (Neural Networks, 2017)

Building feedforward neural networks with random weights for large scale datasets. - Hailiang Ye; Feilong Cao; Dianhui Wang 001; Hong Li 009 (Expert Syst. Appl., 2018)

Trans Humeral Prosthesis Based on sEMG and SSVEP-EEG Signals. - Kangshuai Chen; Yanan Zhang 001; Zhen Zhang 020; Yuhao Yang; Hailiang Ye (ROBIO, 2019)

A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images. - Hailiang Ye; Hong Li 009; Bing Yang; Feilong Cao; Yuanyan Tang (IEEE Trans. Geosci. Remote. Sens., 2019)

A Hybrid Truncated Norm Regularization Method for Matrix Completion. - Hailiang Ye; Hong Li 009; Feilong Cao; Liming Zhang 002 (IEEE Trans. Image Process., 2019)

A Practical Workflow in Cleaning Master Data. - Shuang Yi; Hailiang Ye (ISPA/BDCloud/SocialCom/SustainCom, 2020)

A hybrid regularization approach for random vector functional-link networks. - Hailiang Ye; Feilong Cao; Dianhui Wang 001 (Expert Syst. Appl., 2020)

A blind watermarking system based on deep learning model. - Lichao Zhang; Wangbin Li; Hailiang Ye (TrustCom, 2021)

Convolutional neural networks with hybrid weights for 3D point cloud classification. - Meng Hu; Hailiang Ye; Feilong Cao (Appl. Intell., 2021)

3D mixed CNNs with edge-point feature learning. - Zijin Du; Hailiang Ye; Feilong Cao (Knowl. Based Syst., 2021)

Multiscale fused network with additive channel-spatial attention for image segmentation. - Chengling Gao; Hailiang Ye; Feilong Cao; Chenglin Wen; Qinghua Zhang; Feng Zhang (Knowl. Based Syst., 2021)

A novel 3D shape classification algorithm: point-to-vector capsule network. - Hailiang Ye; Zijin Du; Feilong Cao (Neural Comput. Appl., 2021)

A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer. - Hailiang Ye; Yi Wang; Feilong Cao (Neural Networks, 2021)

Adaptive Deep Cascade Broad Learning System and Its Application in Image Denoising. - Hailiang Ye; Hong Li 009; C. L. Philip Chen (IEEE Trans. Cybern., 2021)

A novel multi-discriminator deep network for image segmentation. - Yi Wang; Hailiang Ye; Feilong Cao (Appl. Intell., 2022)

Deep multi-graph neural networks with attention fusion for recommendation. - Yuzhi Song; Hailiang Ye; Ming Li 065; Feilong Cao (Expert Syst. Appl., 2022)

A universal rank approximation method for matrix completion. - Jinyao Yan; Xinhong Meng; Feilong Cao; Hailiang Ye (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Decouple the object: Component-level semantic recognizer for point clouds classification. - Rui Hu; Bing Yang; Hailiang Ye; Feilong Cao; Chenglin Wen; Qinghua Zhang (Knowl. Based Syst., 2022)

A novel method for point cloud completion: Adaptive region shape fusion network. - Hangkun Wang; Hailiang Ye; Bing Yang; Feilong Cao (Knowl. Based Syst., 2022)

A novel method for image segmentation: two-stage decoding network with boundary attention. - Feilong Cao; Chengling Gao; Hailiang Ye (Int. J. Mach. Learn. Cybern., 2022)

Feature-Grouped Network With Spectral-Spatial Connected Attention for Hyperspectral Image Classification. - Wenhui Guo; Hailiang Ye; Feilong Cao (IEEE Trans. Geosci. Remote. Sens., 2022)

A Novel Method for Hyperspectral Image Classification: Deep Network With Adaptive Graph Structure Integration. - Bing Yang; Feilong Cao; Hailiang Ye (IEEE Trans. Geosci. Remote. Sens., 2022)

A Global-and-Local Feature Fusion Network for Point Cloud Classification. - Xinhong Meng; Meng Hu; Hailiang Ye; Ming Li 065; Feilong Cao (ICMLC, 2023)

Construction and approximation for a class of feedforward neural networks with sigmoidal function. - Xinhong Meng; Jinyao Yan; Hailiang Ye; Feilong Cao (Int. J. Wavelets Multiresolution Inf. Process., 2023)

Revisiting graph neural networks from hybrid regularized graph signal reconstruction. - Jiaxing Miao; Feilong Cao; Hailiang Ye; Ming Li 065; Bing Yang (Neural Networks, 2023)

GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification. - Bing Yang; Hailiang Ye; Ming Li 065; Feilong Cao; Shirui Pan (IEEE Trans. Geosci. Remote. Sens., 2023)

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification. - Zijun Zheng; Heng Wu 004; Laishui Lv; Hailiang Ye; Changchun Zhang; Gaohang Yu (Knowl. Based Syst., 2023)

Multi-space and detail-supplemented attention network for point cloud completion. - Min Xiang; Hailiang Ye; Bing Yang; Feilong Cao (Appl. Intell., 2023)

A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation. - Hailiang Ye; Yuzhi Song; Ming Li 065; Feilong Cao (Inf. Process. Manag., 2023)

Triplet teaching graph contrastive networks with self-evolving adaptive augmentation. - Jiaxing Miao; Feilong Cao; Ming Li 065; Bing Yang; Hailiang Ye (Pattern Recognit., 2023)

Two-stream coupling network with bidirectional interaction between structure and texture for image inpainting. - Xinru Shao; Hailiang Ye; Bing Yang; Feilong Cao (Expert Syst. Appl., 2023)

A new method for two-stage partial-to-partial 3D point cloud registration: multi-level interaction perception. - Xinhong Meng; Lei Zhu; Hailiang Ye; Feilong Cao (Int. J. Mach. Learn. Cybern., 2023)

An iteration-based interactive attention network for 3D point cloud registration. - Jiatong Shi; Hailiang Ye; Bing Yang; Feilong Cao (Neurocomputing, 2023)

Two-view point cloud registration network: feature and geometry. - Lingpeng Wang; Bing Yang; Hailiang Ye; Feilong Cao (Appl. Intell., 2024)

Hierarchical structural graph neural network with local relation enhancement for hyperspectral image classification. - Feilong Cao; Xiaomei Huang; Bing Yang; Hailiang Ye (Digit. Signal Process., 2024)

An effective targeted label adversarial attack on graph neural networks by strategically allocating the attack budget. - Feilong Cao; Qiyang Chen; Hailiang Ye (Knowl. Based Syst., 2024)

A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk. - Feilong Cao; Lei Zhu; Hailiang Ye; Chenglin Wen; Qinghua Zhang (Knowl. Based Syst., 2024)

Fast point completion network. - Chenghao Fang; Bing Yang; Hailiang Ye; Feilong Cao (Neural Comput. Appl., 2024)

Node-personalized multi-graph convolutional networks for recommendation. - Tiantian Zhou; Hailiang Ye; Feilong Cao (Neural Networks, 2024)

A New Strategy of Graph Structure Attack: Multi-View Perturbation Candidate Edge Learning. - Feilong Cao; Qiyang Chen; Hailiang Ye (IEEE Trans. Netw. Sci. Eng., 2024)

A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation. - Siqi Liu; Hailiang Ye; Bing Yang; Ming Li 065; Feilong Cao (Medical Biol. Eng. Comput., 2024)

A new self-augment CNN for 3D point cloud classification and segmentation. - Xinhong Meng; Xinyu Lu; Hailiang Ye; Bing Yang; Feilong Cao (Int. J. Mach. Learn. Cybern., 2024)

A Novel Local-Global Graph Convolutional Method for Point Cloud Semantic Segmentation. - Zijin Du; Hailiang Ye; Feilong Cao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Label-Decoupled Medical Image Segmentation With Spatial-Channel Graph Convolution and Dual Attention Enhancement. - Qingting Jiang; Hailiang Ye; Bing Yang; Feilong Cao (IEEE J. Biomed. Health Informatics, 2024)

SharpGConv: A Novel Graph Method With Plug-and-Play Sharpening Convolution for Point Cloud Registration. - Feilong Cao; Lingpeng Wang; Hailiang Ye (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Multi-View Graph Contrastive Learning Framework for Defending Against Adversarial Attacks. - Feilong Cao; Xing Ye; Hailiang Ye (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

An enhanced network with parallel graph node diffusion and node similarity contrastive loss for hyperspectral image classification. - Hailiang Ye; Xiaomei Huang; Houying Zhu; Feilong Cao (Digit. Signal Process., 2025)

A Joint Multiscale Graph Attention and Classify-Driven Autoencoder Framework for Hyperspectral Unmixing. - Feilong Cao; Yujia Situ; Hailiang Ye (IEEE Trans. Geosci. Remote. Sens., 2025)

Semantic-spatial feature-fused cortical surface parcellation: a scale-unified spatial learning network with boundary contrastive loss. - Hailiang Ye; Siqi Liu; Ming Li 065; Houying Zhu; Feilong Cao (Medical Biol. Eng. Comput., 2025)