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2020 – today
- 2024
[j42]Lingpeng Wang, Bing Yang, Hailiang Ye, Feilong Cao
:
Two-view point cloud registration network: feature and geometry. Appl. Intell. 54(4): 3135-3151 (2024)- [j41]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: 104392 (2024) - [j40]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: 111280 (2024) - [j39]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: 111689 (2024) - [j38]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): 537-549 (2024) - [j37]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): 807-818 (2024) - [j36]Chenghao Fang, Bing Yang, Hailiang Ye, Feilong Cao:
Fast point completion network. Neural Comput. Appl. 36(18): 10897-10913 (2024) - [j35]Tiantian Zhou, Hailiang Ye, Feilong Cao:
Node-personalized multi-graph convolutional networks for recommendation. Neural Networks 173: 106169 (2024) - [j34]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): 7095-7105 (2024) - [j33]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): 2830-2841 (2024) - [j32]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): 4798-4812 (2024) - [j31]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): 4158-4168 (2024) - 2023
- [j30]Min Xiang, Hailiang Ye, Bing Yang, Feilong Cao:
Multi-space and detail-supplemented attention network for point cloud completion. Appl. Intell. 53(12): 14971-14985 (2023) - [j29]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: 120700 (2023) - [j28]Jiatong Shi, Hailiang Ye, Bing Yang, Feilong Cao:
An iteration-based interactive attention network for 3D point cloud registration. Neurocomputing 560: 126822 (2023) - [j27]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) - [j26]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): 103439 (2023) - [j25]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: 110412 (2023) - [j24]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): 3765-3781 (2023) - [j23]Jiaxing Miao, Feilong Cao, Hailiang Ye, Ming Li, Bing Yang:
Revisiting graph neural networks from hybrid regularized graph signal reconstruction. Neural Networks 157: 444-459 (2023) - [j22]Jiaxing Miao, Feilong Cao, Ming Li, Bing Yang, Hailiang Ye:
Triplet teaching graph contrastive networks with self-evolving adaptive augmentation. Pattern Recognit. 142: 109687 (2023) - [j21]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: 1-14 (2023) - [c5]Xinhong Meng, Meng Hu, Hailiang Ye, Ming Li, Feilong Cao:
A Global-and-Local Feature Fusion Network for Point Cloud Classification. ICMLC 2023: 89-96 - 2022
- [j20]Yi Wang, Hailiang Ye, Feilong Cao:
A novel multi-discriminator deep network for image segmentation. Appl. Intell. 52(1): 1092-1109 (2022) - [j19]Yuzhi Song, Hailiang Ye, Ming Li, Feilong Cao:
Deep multi-graph neural networks with attention fusion for recommendation. Expert Syst. Appl. 191: 116240 (2022) - [j18]Jinyao Yan, Xinhong Meng, Feilong Cao, Hailiang Ye:
A universal rank approximation method for matrix completion. Int. J. Wavelets Multiresolution Inf. Process. 20(5): 2250016:1-2250016:24 (2022) - [j17]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: 108887 (2022) - [j16]Hangkun Wang, Hailiang Ye, Bing Yang, Feilong Cao:
A novel method for point cloud completion: Adaptive region shape fusion network. Knowl. Based Syst. 255: 109770 (2022) - [j15]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): 1461-1473 (2022) - [j14]Wenhui Guo, Hailiang Ye, Feilong Cao:
Feature-Grouped Network With Spectral-Spatial Connected Attention for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j13]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: 1-12 (2022) - 2021
- [j12]Meng Hu, Hailiang Ye, Feilong Cao:
Convolutional neural networks with hybrid weights for 3D point cloud classification. Appl. Intell. 51(10): 6983-6996 (2021) - [j11]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: 106754 (2021) - [j10]Zijin Du, Hailiang Ye, Feilong Cao:
3D mixed CNNs with edge-point feature learning. Knowl. Based Syst. 221: 106985 (2021) - [j9]Hailiang Ye, Zijin Du, Feilong Cao:
A novel 3D shape classification algorithm: point-to-vector capsule network. Neural Comput. Appl. 33(23): 16315-16328 (2021) - [j8]Hailiang Ye, Yi Wang, Feilong Cao:
A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer. Neural Networks 144: 755-765 (2021) - [j7]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): 4450-4463 (2021) - [c4]Lichao Zhang, Wangbin Li, Hailiang Ye:
A blind watermarking system based on deep learning model. TrustCom 2021: 1208-1213 - 2020
- [j6]Hailiang Ye, Feilong Cao, Dianhui Wang:
A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. 140 (2020) - [c3]Shuang Yi, Hailiang Ye:
A Practical Workflow in Cleaning Master Data. ISPA/BDCloud/SocialCom/SustainCom 2020: 1311-1314
2010 – 2019
- 2019
- [j5]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): 4457-4469 (2019) - [j4]Hailiang Ye, Hong Li, Feilong Cao, Liming Zhang:
A Hybrid Truncated Norm Regularization Method for Matrix Completion. IEEE Trans. Image Process. 28(10): 5171-5186 (2019) - [c2]Kangshuai Chen, Yanan Zhang, Zhen Zhang, Yuhao Yang, Hailiang Ye:
Trans Humeral Prosthesis Based on sEMG and SSVEP-EEG Signals. ROBIO 2019: 2665-2670 - 2018
- [j3]Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li:
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106: 233-243 (2018) - 2017
- [j2]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: 10-20 (2017) - 2015
- [j1]Feilong Cao, Hailiang Ye, Dianhui Wang:
A probabilistic learning algorithm for robust modeling using neural networks with random weights. Inf. Sci. 313: 62-78 (2015)
2000 – 2009
- 2008
- [c1]Xiaodong Liu, Hailiang Ye:
A Sustainable Service-Oriented B2C Framework for Small Businesses. SOSE 2008: 281-286
Coauthor Index
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