Hailiang Ye

According to our database, Hailiang Ye authored at least 38 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., April, 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., March, 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, Feilong Cao

Medical Biol. Eng. Comput., February, 2024

Two-view point cloud registration network: feature and geometry.

Lingpeng Wang, Bing Yang, Hailiang Ye, Feilong Cao

Appl. Intell., 2024

2023

An iteration-based interactive attention network for 3D point cloud registration.

Jiatong Shi, Hailiang Ye, Bing Yang, Feilong Cao

Neurocomputing, December, 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., November, 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., November, 2023

Triplet teaching graph contrastive networks with self-evolving adaptive augmentation.

Jiaxing Miao, Feilong Cao, Ming Li, Bing Yang, Hailiang Ye

Pattern Recognit., October, 2023

A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation.

Hailiang Ye, Yuzhi Song, Ming Li, Feilong Cao

Inf. Process. Manag., September, 2023

Multi-space and detail-supplemented attention network for point cloud completion.

Min Xiang, Hailiang Ye, Bing Yang, Feilong Cao

Appl. Intell., June, 2023

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification.

Zijun Zheng, Heng Wu, Laishui Lv, Hailiang Ye, Changchun Zhang, Gaohang Yu

Knowl. Based Syst., April, 2023

GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification.

Bing Yang, Hailiang Ye, Ming Li, Feilong Cao, Shirui Pan

IEEE Trans. Geosci. Remote. Sens., 2023

Revisiting graph neural networks from hybrid regularized graph signal reconstruction.

Jiaxing Miao, Feilong Cao, Hailiang Ye, Ming Li, Bing Yang

Neural Networks, 2023

A Global-and-Local Feature Fusion Network for Point Cloud Classification.

Xinhong Meng, Meng Hu, Hailiang Ye, Ming Li, Feilong Cao

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

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

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 image segmentation: two-stage decoding network with boundary attention.

Feilong Cao, Chengling Gao, Hailiang Ye

Int. J. Mach. Learn. Cybern., 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

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 universal rank approximation method for matrix completion.

Jinyao Yan, Xinhong Meng, Feilong Cao, Hailiang Ye

Int. J. Wavelets Multiresolution Inf. Process., 2022

Deep multi-graph neural networks with attention fusion for recommendation.

Yuzhi Song, Hailiang Ye, Ming Li, Feilong Cao

Expert Syst. Appl., 2022

A novel multi-discriminator deep network for image segmentation.

Yi Wang, Hailiang Ye, Feilong Cao

Appl. Intell., 2022

2021

Adaptive Deep Cascade Broad Learning System and Its Application in Image Denoising.

Hailiang Ye, Hong Li, C. L. Philip Chen

IEEE Trans. Cybern., 2021

A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer.

Hailiang Ye, Yi Wang, Feilong Cao

Neural Networks, 2021

A novel 3D shape classification algorithm: point-to-vector capsule network.

Hailiang Ye, Zijin Du, Feilong Cao

Neural Comput. Appl., 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

3D mixed CNNs with edge-point feature learning.

Zijin Du, Hailiang Ye, Feilong Cao

Knowl. Based Syst., 2021

Convolutional neural networks with hybrid weights for 3D point cloud classification.

Meng Hu, Hailiang Ye, Feilong Cao

Appl. Intell., 2021

A blind watermarking system based on deep learning model.

Lichao Zhang, Wangbin Li, Hailiang Ye

Proceedings of the 20th IEEE International Conference on Trust, 2021

2020

A hybrid regularization approach for random vector functional-link networks.

Hailiang Ye, Feilong Cao, Dianhui Wang

Expert Syst. Appl., 2020

A Practical Workflow in Cleaning Master Data.

Shuang Yi, Hailiang Ye

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019

A Hybrid Truncated Norm Regularization Method for Matrix Completion.

Hailiang Ye, Hong Li, Feilong Cao, Liming Zhang

IEEE Trans. Image Process., 2019

A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images.

Hailiang Ye, Hong Li, Bing Yang, Feilong Cao, Yuanyan Tang

IEEE Trans. Geosci. Remote. Sens., 2019

Trans Humeral Prosthesis Based on sEMG and SSVEP-EEG Signals.

Kangshuai Chen, Yanan Zhang, Zhen Zhang, Yuhao Yang, Hailiang Ye

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018

Building feedforward neural networks with random weights for large scale datasets.

Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li

Expert Syst. Appl., 2018

2017

Recovering low-rank and sparse matrix based on the truncated nuclear norm.

Feilong Cao, Jiaying Chen, Hailiang Ye, Jianwei Zhao, Zhenghua Zhou

Neural Networks, 2017

2015

A probabilistic learning algorithm for robust modeling using neural networks with random weights.

Feilong Cao, Hailiang Ye, Dianhui Wang

Inf. Sci., 2015

2008

A Sustainable Service-Oriented B2C Framework for Small Businesses.

Xiaodong Liu, Hailiang Ye

Proceedings of the Fourth IEEE International Symposium on Service-Oriented System Engineering, 2008