default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHailiang Ye
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
