Hailiang Ye

55 papers B 1Misc 1Journal 50Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A semantic-structural feature learning with multi-stage interaction for 3D point cloud registration.
Pattern Recognit.
Feilong Cao, Qiaoyan Qiu, Hailiang Ye, Ke Lu
2026 J jnl
A spatial-spectral sparse dynamic graph learning network for hyperspectral image denoising.
Neurocomputing
Hailiang Ye, Ying Wu, Feilong Cao
2026 J jnl
Sparse prior guided decoder network for medical image segmentation.
Digit. Signal Process.
Qingting Jiang, Hailiang Ye, Rui Zhang, Feilong Cao
2025 J jnl
A Joint Multiscale Graph Attention and Classify-Driven Autoencoder Framework for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens.
Feilong Cao, Yujia Situ, Hailiang Ye
2025 J jnl
Adaptive Prior and Long-Range Dependency-Based Learners for Image Inpainting.
IEEE Trans. Circuits Syst. Video Technol.
Feilong Cao, Qijin Xu, Hailiang Ye
2025 J jnl
An enhanced network with parallel graph node diffusion and node similarity contrastive loss for hyperspectral image classification.
Digit. Signal Process.
Hailiang Ye, Xiaomei Huang, Houying Zhu, Feilong Cao
2025 J jnl
Semantic-spatial feature-fused cortical surface parcellation: a scale-unified spatial learning network with boundary contrastive loss.
Medical Biol. Eng. Comput.
Hailiang Ye, Siqi Liu, Ming Li, Houying Zhu, Feilong Cao
2024 J jnl
A Multi-View Graph Contrastive Learning Framework for Defending Against Adversarial Attacks.
IEEE Trans. Emerg. Top. Comput. Intell.
Feilong Cao, Xing Ye, Hailiang Ye
2024 J jnl
A New Strategy of Graph Structure Attack: Multi-View Perturbation Candidate Edge Learning.
IEEE Trans. Netw. Sci. Eng.
Feilong Cao, Qiyang Chen, Hailiang Ye
2024 J jnl
A Novel Local-Global Graph Convolutional Method for Point Cloud Semantic Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Zijin Du, Hailiang Ye, Feilong Cao
2024 J jnl
A joint parcellation and boundary network with multi-rate-shared dilated graph attention for cortical surface parcellation.
Medical Biol. Eng. Comput.
Siqi Liu, Hailiang Ye, Bing Yang, Ming Li, Feilong Cao
2024 J jnl
A new method for point cloud registration: Adaptive relation-oriented convolution and recurrent correspondence-walk.
Knowl. Based Syst.
Feilong Cao, Lei Zhu, Hailiang Ye, Chenglin Wen, Qinghua Zhang
2024 J jnl
A new self-augment CNN for 3D point cloud classification and segmentation.
Int. J. Mach. Learn. Cybern.
Xinhong Meng, Xinyu Lu, Hailiang Ye, Bing Yang, Feilong Cao
2024 J jnl
An effective targeted label adversarial attack on graph neural networks by strategically allocating the attack budget.
Knowl. Based Syst.
Feilong Cao, Qiyang Chen, Hailiang Ye
2024 J jnl
Fast point completion network.
Neural Comput. Appl.
Chenghao Fang, Bing Yang, Hailiang Ye, Feilong Cao
2024 J jnl
Hierarchical structural graph neural network with local relation enhancement for hyperspectral image classification.
Digit. Signal Process.
Feilong Cao, Xiaomei Huang, Bing Yang, Hailiang Ye
2024 J jnl
Label-Decoupled Medical Image Segmentation With Spatial-Channel Graph Convolution and Dual Attention Enhancement.
IEEE J. Biomed. Health Informatics
Qingting Jiang, Hailiang Ye, Bing Yang, Feilong Cao
2024 J jnl
Node-personalized multi-graph convolutional networks for recommendation.
Neural Networks
Tiantian Zhou, Hailiang Ye, Feilong Cao
2024 J jnl
SharpGConv: A Novel Graph Method With Plug-and-Play Sharpening Convolution for Point Cloud Registration.
IEEE Trans. Circuits Syst. Video Technol.
Feilong Cao, Lingpeng Wang, Hailiang Ye
2024 J jnl
Two-view point cloud registration network: feature and geometry.
Appl. Intell.
Lingpeng Wang, Bing Yang, Hailiang Ye, Feilong Cao
2023 Misc conf
A Global-and-Local Feature Fusion Network for Point Cloud Classification.
ICMLC
Xinhong Meng, Meng Hu, Hailiang Ye, Ming Li, Feilong Cao
2023 J jnl
A new deep graph attention approach with influence and preference relationship reconstruction for rate prediction recommendation.
Inf. Process. Manag.
Hailiang Ye, Yuzhi Song, Ming Li, Feilong Cao
2023 J jnl
A new method for two-stage partial-to-partial 3D point cloud registration: multi-level interaction perception.
Int. J. Mach. Learn. Cybern.
Xinhong Meng, Lei Zhu, Hailiang Ye, Feilong Cao
2023 J jnl
An iteration-based interactive attention network for 3D point cloud registration.
Neurocomputing
Jiatong Shi, Hailiang Ye, Bing Yang, Feilong Cao
2023 J jnl
Construction and approximation for a class of feedforward neural networks with sigmoidal function.
Int. J. Wavelets Multiresolution Inf. Process.
Xinhong Meng, Jinyao Yan, Hailiang Ye, Feilong Cao
2023 J jnl
GoLoG: Global-to-Local Decoupling Graph Network With Joint Optimization for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Bing Yang, Hailiang Ye, Ming Li, Feilong Cao, Shirui Pan
2023 J jnl
ICCL: Independent and Correlative Correspondence Learning for few-shot image classification.
Knowl. Based Syst.
Zijun Zheng, Heng Wu, Laishui Lv, Hailiang Ye, Changchun Zhang, Gaohang Yu
2023 J jnl
Multi-space and detail-supplemented attention network for point cloud completion.
Appl. Intell.
Min Xiang, Hailiang Ye, Bing Yang, Feilong Cao
2023 J jnl
Revisiting graph neural networks from hybrid regularized graph signal reconstruction.
Neural Networks
Jiaxing Miao, Feilong Cao, Hailiang Ye, Ming Li, Bing Yang
2023 J jnl
Triplet teaching graph contrastive networks with self-evolving adaptive augmentation.
Pattern Recognit.
Jiaxing Miao, Feilong Cao, Ming Li, Bing Yang, Hailiang Ye
2023 J jnl
Two-stream coupling network with bidirectional interaction between structure and texture for image inpainting.
Expert Syst. Appl.
Xinru Shao, Hailiang Ye, Bing Yang, Feilong Cao
2022 J jnl
A Novel Method for Hyperspectral Image Classification: Deep Network With Adaptive Graph Structure Integration.
IEEE Trans. Geosci. Remote. Sens.
Bing Yang, Feilong Cao, Hailiang Ye
2022 J jnl
A novel method for image segmentation: two-stage decoding network with boundary attention.
Int. J. Mach. Learn. Cybern.
Feilong Cao, Chengling Gao, Hailiang Ye
2022 J jnl
A novel method for point cloud completion: Adaptive region shape fusion network.
Knowl. Based Syst.
Hangkun Wang, Hailiang Ye, Bing Yang, Feilong Cao
2022 J jnl
A novel multi-discriminator deep network for image segmentation.
Appl. Intell.
Yi Wang, Hailiang Ye, Feilong Cao
2022 J jnl
A universal rank approximation method for matrix completion.
Int. J. Wavelets Multiresolution Inf. Process.
Jinyao Yan, Xinhong Meng, Feilong Cao, Hailiang Ye
2022 J jnl
Decouple the object: Component-level semantic recognizer for point clouds classification.
Knowl. Based Syst.
Rui Hu, Bing Yang, Hailiang Ye, Feilong Cao, Chenglin Wen, Qinghua Zhang
2022 J jnl
Deep multi-graph neural networks with attention fusion for recommendation.
Expert Syst. Appl.
Yuzhi Song, Hailiang Ye, Ming Li, Feilong Cao
2022 J jnl
Feature-Grouped Network With Spectral-Spatial Connected Attention for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Wenhui Guo, Hailiang Ye, Feilong Cao
2021 J jnl
3D mixed CNNs with edge-point feature learning.
Knowl. Based Syst.
Zijin Du, Hailiang Ye, Feilong Cao
2021 B conf
A blind watermarking system based on deep learning model.
TrustCom
Lichao Zhang, Wangbin Li, Hailiang Ye
2021 J jnl
A novel 3D shape classification algorithm: point-to-vector capsule network.
Neural Comput. Appl.
Hailiang Ye, Zijin Du, Feilong Cao
2021 J jnl
A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer.
Neural Networks
Hailiang Ye, Yi Wang, Feilong Cao
2021 J jnl
Adaptive Deep Cascade Broad Learning System and Its Application in Image Denoising.
IEEE Trans. Cybern.
Hailiang Ye, Hong Li, C. L. Philip Chen
2021 J jnl
Convolutional neural networks with hybrid weights for 3D point cloud classification.
Appl. Intell.
Meng Hu, Hailiang Ye, Feilong Cao
2021 J jnl
Multiscale fused network with additive channel-spatial attention for image segmentation.
Knowl. Based Syst.
Chengling Gao, Hailiang Ye, Feilong Cao, Chenglin Wen, Qinghua Zhang, Feng Zhang
2020 — conf
A Practical Workflow in Cleaning Master Data.
ISPA/BDCloud/SocialCom/SustainCom
Shuang Yi, Hailiang Ye
2020 J jnl
A hybrid regularization approach for random vector functional-link networks.
Expert Syst. Appl.
Hailiang Ye, Feilong Cao, Dianhui Wang
2019 J jnl
A Hybrid Truncated Norm Regularization Method for Matrix Completion.
IEEE Trans. Image Process.
Hailiang Ye, Hong Li, Feilong Cao, Liming Zhang
2019 J jnl
A Novel Rank Approximation Method for Mixture Noise Removal of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Hailiang Ye, Hong Li, Bing Yang, Feilong Cao, Yuanyan Tang
2019 — conf
Trans Humeral Prosthesis Based on sEMG and SSVEP-EEG Signals.
ROBIO
Kangshuai Chen, Yanan Zhang, Zhen Zhang, Yuhao Yang, Hailiang Ye
2018 J jnl
Building feedforward neural networks with random weights for large scale datasets.
Expert Syst. Appl.
Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li
2017 J jnl
Recovering low-rank and sparse matrix based on the truncated nuclear norm.
Neural Networks
Feilong Cao, Jiaying Chen, Hailiang Ye, Jianwei Zhao, Zhenghua Zhou
2015 J jnl
A probabilistic learning algorithm for robust modeling using neural networks with random weights.
Inf. Sci.
Feilong Cao, Hailiang Ye, Dianhui Wang
2008 — conf
A Sustainable Service-Oriented B2C Framework for Small Businesses.
SOSE
Xiaodong Liu, Hailiang Ye