Hailiang Ye

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 46

Top Topics

Hyperspectral Image Classification

Top Venues

Knowl. Based Syst.

Expert Syst. Appl.

IEEE Trans. Geosci. Remote. Sens.

Publications

Chenghao Fang, Bing Yang, Hailiang Ye, Feilong Cao
Fast point completion network. Neural Comput. Appl. 36 (18) (2024)
Feilong Cao, Lingpeng Wang, Hailiang Ye
SharpGConv: A Novel Graph Method With Plug-and-Play Sharpening Convolution for Point Cloud Registration. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Zijin Du, Hailiang Ye, Feilong Cao
A Novel Local-Global Graph Convolutional Method for Point Cloud Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Xinhong Meng, Xinyu Lu, Hailiang Ye, Bing Yang, Feilong Cao
A new self-augment CNN for 3D point cloud classification and segmentation. Int. J. Mach. Learn. Cybern. 15 (3) (2024)
Feilong Cao, Qiyang Chen, Hailiang Ye
A New Strategy of Graph Structure Attack: Multi-View Perturbation Candidate Edge Learning. IEEE Trans. Netw. Sci. Eng. 11 (5) (2024)
Feilong Cao, Xiaomei Huang, Bing Yang, Hailiang Ye
Hierarchical structural graph neural network with local relation enhancement for hyperspectral image classification. Digit. Signal Process. 146 (2024)
Lingpeng Wang, Bing Yang, Hailiang Ye, Feilong Cao
Two-view point cloud registration network: feature and geometry. Appl. Intell. 54 (4) (2024)
Siqi Liu, Hailiang Ye, Bing Yang, Ming Li, Feilong Cao
A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation. Medical Biol. Eng. Comput. 62 (2) (2024)
Qingting Jiang, Hailiang Ye, Bing Yang, Feilong Cao
Label-Decoupled Medical Image Segmentation With Spatial-Channel Graph Convolution and Dual Attention Enhancement. IEEE J. Biomed. Health Informatics 28 (5) (2024)
Feilong Cao, Qiyang Chen, Hailiang Ye
An effective targeted label adversarial attack on graph neural networks by strategically allocating the attack budget. Knowl. Based Syst. 293 (2024)
Feilong Cao, Lei Zhu, Hailiang Ye, Chenglin Wen, Qinghua Zhang
A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk. Knowl. Based Syst. 284 (2024)
Tiantian Zhou, Hailiang Ye, Feilong Cao
Node-personalized multi-graph convolutional networks for recommendation. Neural Networks 173 (2024)
Xinru Shao, Hailiang Ye, Bing Yang, Feilong Cao
Two-stream coupling network with bidirectional interaction between structure and texture for image inpainting. Expert Syst. Appl. 231 (2023)
Bing Yang, Hailiang Ye, Ming Li, Feilong Cao, Shirui Pan
GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Xinhong Meng, Meng Hu, Hailiang Ye, Ming Li, Feilong Cao
A Global-and-Local Feature Fusion Network for Point Cloud Classification. ICMLC (2023)
Jiaxing Miao, Feilong Cao, Hailiang Ye, Ming Li, Bing Yang
Revisiting graph neural networks from hybrid regularized graph signal reconstruction. Neural Networks 157 (2023)
Jiaxing Miao, Feilong Cao, Ming Li, Bing Yang, Hailiang Ye
Triplet teaching graph contrastive networks with self-evolving adaptive augmentation. Pattern Recognit. 142 (2023)
Zijun Zheng, Heng Wu, Laishui Lv, Hailiang Ye, Changchun Zhang, Gaohang Yu
ICCL: Independent and Correlative Correspondence Learning for few-shot image classification. Knowl. Based Syst. 266 (2023)
Xinhong Meng, Lei Zhu, Hailiang Ye, Feilong Cao
A new method for two-stage partial-to-partial 3D point cloud registration: multi-level interaction perception. Int. J. Mach. Learn. Cybern. 14 (11) (2023)
Hailiang Ye, Yuzhi Song, Ming Li, Feilong Cao
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation. Inf. Process. Manag. 60 (5) (2023)
Xinhong Meng, Jinyao Yan, Hailiang Ye, Feilong Cao
Construction and approximation for a class of feedforward neural networks with sigmoidal function. Int. J. Wavelets Multiresolution Inf. Process. 21 (6) (2023)
Jiatong Shi, Hailiang Ye, Bing Yang, Feilong Cao
An iteration-based interactive attention network for 3D point cloud registration. Neurocomputing 560 (2023)
Min Xiang, Hailiang Ye, Bing Yang, Feilong Cao
Multi-space and detail-supplemented attention network for point cloud completion. Appl. Intell. 53 (12) (2023)
Wenhui Guo, Hailiang Ye, Feilong Cao
Feature-Grouped Network With Spectral-Spatial Connected Attention for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Hangkun Wang, Hailiang Ye, Bing Yang, Feilong Cao
A novel method for point cloud completion: Adaptive region shape fusion network. Knowl. Based Syst. 255 (2022)
Feilong Cao, Chengling Gao, Hailiang Ye
A novel method for image segmentation: two-stage decoding network with boundary attention. Int. J. Mach. Learn. Cybern. 13 (5) (2022)
Bing Yang, Feilong Cao, Hailiang Ye
A Novel Method for Hyperspectral Image Classification: Deep Network With Adaptive Graph Structure Integration. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Jinyao Yan, Xinhong Meng, Feilong Cao, Hailiang Ye
A universal rank approximation method for matrix completion. Int. J. Wavelets Multiresolution Inf. Process. 20 (5) (2022)
Yi Wang, Hailiang Ye, Feilong Cao
A novel multi-discriminator deep network for image segmentation. Appl. Intell. 52 (1) (2022)
Yuzhi Song, Hailiang Ye, Ming Li, Feilong Cao
Deep multi-graph neural networks with attention fusion for recommendation. Expert Syst. Appl. 191 (2022)
Rui Hu, Bing Yang, Hailiang Ye, Feilong Cao, Chenglin Wen, Qinghua Zhang
Decouple the object: Component-level semantic recognizer for point clouds classification. Knowl. Based Syst. 248 (2022)
Hailiang Ye, Hong Li, C. L. Philip Chen
Adaptive Deep Cascade Broad Learning System and Its Application in Image Denoising. IEEE Trans. Cybern. 51 (9) (2021)
Lichao Zhang, Wangbin Li, Hailiang Ye
A blind watermarking system based on deep learning model. TrustCom (2021)
Zijin Du, Hailiang Ye, Feilong Cao
3D mixed CNNs with edge-point feature learning. Knowl. Based Syst. 221 (2021)
Hailiang Ye, Zijin Du, Feilong Cao
A novel 3D shape classification algorithm: point-to-vector capsule network. Neural Comput. Appl. 33 (23) (2021)
Meng Hu, Hailiang Ye, Feilong Cao
Convolutional neural networks with hybrid weights for 3D point cloud classification. Appl. Intell. 51 (10) (2021)
Chengling Gao, Hailiang Ye, Feilong Cao, Chenglin Wen, Qinghua Zhang, Feng Zhang
Multiscale fused network with additive channel-spatial attention for image segmentation. Knowl. Based Syst. 214 (2021)
Hailiang Ye, Yi Wang, Feilong Cao
A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer. Neural Networks 144 (2021)
Shuang Yi, Hailiang Ye
A Practical Workflow in Cleaning Master Data. ISPA/BDCloud/SocialCom/SustainCom (2020)
Hailiang Ye, Feilong Cao, Dianhui Wang
A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. 140 (2020)
Hailiang Ye, Hong Li, Feilong Cao, Liming Zhang
A Hybrid Truncated Norm Regularization Method for Matrix Completion. IEEE Trans. Image Process. 28 (10) (2019)
Kangshuai Chen, Yanan Zhang, Zhen Zhang, Yuhao Yang, Hailiang Ye
Trans Humeral Prosthesis Based on sEMG and SSVEP-EEG Signals. ROBIO (2019)
Hailiang Ye, Hong Li, Bing Yang, Feilong Cao, Yuanyan Tang
A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57 (7) (2019)
Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106 (2018)
Feilong Cao, Jiaying Chen, Hailiang Ye, Jianwei Zhao, Zhenghua Zhou
Recovering low-rank and sparse matrix based on the truncated nuclear norm. Neural Networks 85 (2017)
Feilong Cao, Hailiang Ye, Dianhui Wang
A probabilistic learning algorithm for robust modeling using neural networks with random weights. Inf. Sci. 313 (2015)
Xiaodong Liu, Hailiang Ye
A Sustainable Service-Oriented B2C Framework for Small Businesses. SOSE (2008)