Feilong Cao

ORCID

Publication Activity (10 Years)

Years Active: 2003-2025
Publications (10 Years): 93

Top Venues

Publications

Dansheng Yu, Feilong Cao
Construction and approximation rate for feedforward neural network operators with sigmoidal functions. J. Comput. Appl. Math. 453 (2025)
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)
Sihui Li, Duo Li, Rui Zhang, Feilong Cao
A novel autism spectrum disorder identification method: spectral graph network with brain-population graph structure joint learning. Int. J. Mach. Learn. Cybern. 15 (4) (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)
Feilong Cao, Jiatong Shi, Chenglin Wen
A dynamic graph aggregation framework for 3D point cloud registration. Eng. Appl. Artif. Intell. 120 (2023)
Changqin Huang, Ming Li, Feilong Cao, Hamido Fujita, Zhao Li, Xindong Wu
Are Graph Convolutional Networks With Random Weights Feasible? IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (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)
Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao
Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (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)
Mingwen Shao, Huan Liu, Jianxin Yang, Feilong Cao
Adaptive one-stage generative adversarial network for unpaired image super-resolution. Neural Comput. Appl. 35 (28) (2023)
Huan Liu, Mingwen Shao, Chao Wang, Feilong Cao
Image Super-Resolution Using a Simple Transformer Without Pretraining. Neural Process. Lett. 55 (2) (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)
Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML (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)
Chenglin Wen, Tingting Huai, Qinghua Zhang, Zhihuan Song, Feilong Cao
A new rotation forest ensemble algorithm. Int. J. Mach. Learn. Cybern. 13 (11) (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)
Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao
Multi-view graph convolutional networks with attention mechanism. Artif. Intell. 307 (2022)
Jie Ren, Qimin Zhang, Xining Li, Feilong Cao, Ming Ye
A stochastic age-structured HIV/AIDS model based on parameters estimation and its numerical calculation. Math. Comput. Simul. 190 (2021)
Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang
Deep neural network compression through interpretability-based filter pruning. Pattern Recognit. 119 (2021)
Chen Pan, Jianfeng Liu, Wei Qi Yan, Feilong Cao, Wei He, Yongxia Zhou
Salient Object Detection Based on Visual Perceptual Saturation and Two-Stream Hybrid Networks. IEEE Trans. Image Process. 30 (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)
Feilong Cao, Fan Feng
Consensus-based distributed learning for robust convex optimization with a scenario approach. Concurr. Comput. Pract. Exp. 33 (8) (2021)
Meng Hu, Hailiang Ye, Feilong Cao
Convolutional neural networks with hybrid weights for 3D point cloud classification. Appl. Intell. 51 (10) (2021)
Baiyu Pan, Liming Zhang, Hanxiong Yin, Jun Lan, Feilong Cao
An automatic 2D to 3D video conversion approach based on RGB-D images. Multim. Tools Appl. 80 (13) (2021)
Feilong Cao, Baijie Chen
Densely connected network with improved pyramidal bottleneck residual units for super-resolution. J. Vis. Commun. Image Represent. 74 (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)
Chenglin Wen, Wenchao Qian, Qinghua Zhang, Feilong Cao
Algorithms of matrix recovery based on truncated Schatten p-norm. Int. J. Mach. Learn. Cybern. 12 (5) (2021)
Hailiang Ye, Yi Wang, Feilong Cao
A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer. Neural Networks 144 (2021)
Feilong Cao, Wenhui Guo
Cascaded dual-scale crossover network for hyperspectral image classification. Knowl. Based Syst. 189 (2020)
Jie Ren, Qimin Zhang, Feilong Cao, Chunmei Ding, Li Wang
Modeling a stochastic age-structured capital system with Poisson jumps using neural networks. Inf. Sci. 516 (2020)
Sho Sonoda, Ming Li, Feilong Cao, Changqin Huang, Yu Guang Wang
On the Approximation Lower Bound for Neural Nets with Random Weights. CoRR (2020)
Feilong Cao, Wenhui Guo
Deep hybrid dilated residual networks for hyperspectral image classification. Neurocomputing 384 (2020)
Feilong Cao, Kaixuan Yao, Jiye Liang
Deconvolutional neural network for image super-resolution. Neural Networks 132 (2020)
Huan Liu, Feilong Cao, Chenglin Wen, Qinghua Zhang
Lightweight multi-scale residual networks with attention for image super-resolution. Knowl. Based Syst. 203 (2020)
Huan Liu, Feilong Cao
Improved dual-scale residual network for image super-resolution. Neural Networks 132 (2020)
Jianwei Zhao, Taoye Huang, Zhenghua Zhou, Feilong Cao
A Compact Recursive Dense Convolutional Network for image classification. Neurocomputing 372 (2020)
Xuejun Wang, Feilong Cao, Wenjian Wang
Adaptive sparse and dense hybrid representation with nonconvex optimization. Frontiers Comput. Sci. 14 (4) (2020)
Hailiang Ye, Feilong Cao, Dianhui Wang
A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. 140 (2020)
Jianwei Zhao, Chen Chen, Zhenghua Zhou, Feilong Cao
Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks. J. Vis. Commun. Image Represent. 58 (2019)
Hailiang Ye, Hong Li, Feilong Cao, Liming Zhang
A Hybrid Truncated Norm Regularization Method for Matrix Completion. IEEE Trans. Image Process. 28 (10) (2019)
Keqiuyin Li, Feilong Cao
Super-resolution using neighbourhood regression with local structure prior. Signal Process. Image Commun. 72 (2019)
Feilong Cao, Baijie Chen
New architecture of deep recursive convolution networks for super-resolution. Knowl. Based Syst. 178 (2019)
Feilong Cao, Huan Liu
Single image super-resolution via multi-scale residual channel attention network. Neurocomputing 358 (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)
Wenchao Qian, Feilong Cao
Adaptive algorithms for low-rank and sparse matrix recovery with truncated nuclear norm. Int. J. Mach. Learn. Cybern. 10 (6) (2019)
Feilong Cao, Yuehua Liu, Zhen Huang, Jianjun Chu, Jianwei Zhao
Effective segmentations in white blood cell images using ϵ -SVR-based detection method. Neural Comput. Appl. 31 (10) (2019)
Jianwei Zhao, Tiantian Sun, Feilong Cao
Image super-resolution via adaptive sparse representation and self-learning. IET Comput. Vis. 12 (5) (2018)
Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106 (2018)
Qingguo Chen, Feilong Cao
Distributed support vector machine in master-slave mode. Neural Networks 101 (2018)
Feilong Cao, Yuehua Liu, Dianhui Wang
Efficient saliency detection using convolutional neural networks with feature selection. Inf. Sci. 456 (2018)
Hanchi Ying, Yee Leung, Feilong Cao, Tung Fung, Jie Xue
Sparsity-Based Spatiotemporal Fusion via Adaptive Multi-Band Constraints. Remote. Sens. 10 (10) (2018)
Feilong Cao, Keqiuyin Li
A new method for image super-resolution with multi-channel constraints. Knowl. Based Syst. 146 (2018)
Zhebin Gu, Feilong Cao
多层前向人工神经网络图像分类算法 (Algorithm of Multi-layer Forward Artificial Neural Network for Image Classification). 计算机科学 45 (11A) (2018)
Jianwei Zhao, Weidong Zhang, Feilong Cao
Robust object tracking using a sparse coadjutant observation model. Multim. Tools Appl. 77 (23) (2018)
Feilong Cao, Xinshan Feng, Jianwei Zhao
Sparse representation for robust face recognition by dictionary decomposition. J. Vis. Commun. Image Represent. 46 (2017)
Fan Feng, Feilong Cao
Consensus-based Parallel Algorithm for Robust Convex Optimization with Scenario Approach in Colored Network. IDEAL (2017)
Jianwei Zhao, Heping Hu, Zhenghua Zhou, Feilong Cao
Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary. IET Image Process. 11 (12) (2017)
Yuehua Liu, Feilong Cao, Jianwei Zhao, Jianjun Chu
Segmentation of White Blood Cells Image Using Adaptive Location and Iteration. IEEE J. Biomed. Health Informatics 21 (6) (2017)
Jiao Wu, Feilong Cao, Juncheng Yin
Nonlocaly Multi-Morphological Representation for Image Reconstruction From Compressive Measurements. IEEE Trans. Image Process. 26 (12) (2017)
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)
Jianwei Zhao, Yongbiao Lv, Zhenghua Zhou, Feilong Cao
A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network. Neural Networks 94 (2017)
Jianwei Zhao, Heping Hu, Feilong Cao
Image super-resolution via adaptive sparse representation. Knowl. Based Syst. 124 (2017)
Jianwei Zhao, Minshu Zhang, Zhenghua Zhou, Jianjun Chu, Feilong Cao
Automatic detection and classification of leukocytes using convolutional neural networks. Medical Biol. Eng. Comput. 55 (8) (2017)
Feilong Cao, MiaoMiao Cai, Jianjun Chu, Jianwei Zhao, Zhenghua Zhou
A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation. Neural Comput. Appl. 28 (S-1) (2017)
Shaobo Lin, Feilong Cao
Simultaneous approximation by spherical neural networks. Neurocomputing 175 (2016)
Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang
An iterative learning algorithm for feedforward neural networks with random weights. Inf. Sci. 328 (2016)
Feilong Cao, MiaoMiao Cai, Yuanpeng Tan, Jianwei Zhao
(0<p<1) Regularization and Sparse Representation. IEEE Trans. Neural Networks Learn. Syst. 27 (7) (2016)
Zhixiang Chen, Feilong Cao
Scattered data approximation by neural networks operators. Neurocomputing 190 (2016)
Feilong Cao, Heping Hu, Jing Lu, Jianwei Zhao, Zhenghua Zhou, Jiao Wu
Pose and illumination variable face recognition via sparse representation and illumination dictionary. Knowl. Based Syst. 107 (2016)
Zhixiang Chen, Jinjie Hu, Feilong Cao
Learning Algorithm of Neural Networks on Spherical Cap. J. Networks 10 (3) (2015)
Yuanpeng Tan, Feilong Cao, MiaoMiao Cai
A New System of Face Recognition: Using Fuzziness and Sparsity. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23 (6) (2015)
Huaixin Cao, Dianhui Wang, Feilong Cao
An adiabatic quantum algorithm and its application to DNA motif model discovery. Inf. Sci. 296 (2015)
Feilong Cao, MiaoMiao Cai, Yuanpeng Tan
Image Interpolation via Low-Rank Matrix Completion and Recovery. IEEE Trans. Circuits Syst. Video Technol. 25 (8) (2015)
Kankan Dai, Jianwei Zhao, Feilong Cao
A novel algorithm of extended neural networks for image recognition. Eng. Appl. Artif. Intell. 42 (2015)
Wanggen Wan, Zhenghua Zhou, Jianwei Zhao, Feilong Cao
A novel face recognition method: Using random weight networks and quasi-singular value decomposition. Neurocomputing 151 (2015)
Huaixin Cao, Feilong Cao, Dianhui Wang
Quantum artificial neural networks with applications. Inf. Sci. 290 (2015)

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Publication Activity (10 Years)

Top Topics

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Feilong Cao