Feilong Cao - RankMe

195 papers A* 10B 1C 2Misc 14Journal 158Unranked 10

Year	Rank	Type	Title / 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	A*	`conf`	Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs. AAAI Ming Li, Yongqi Li, Yuting Chen, Feilong Cao, Ke Lv
2026	A*	`conf`	HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters. AAAI Ming Li, Ruiting Zhao, Zihao Yan, Lu Bai, Lixin Cui, Feilong Cao
2026	A*	`conf`	HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning. AAAI Ming Li, Zhanle Zhu, Xinyi Li, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2026	A*	`conf`	Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation. AAAI Ming Li, Zihao Yan, Yuting Chen, Lixin Cui, Lu Bai, Feilong Cao, Ke Lv, Zhao Li
2026	A*	`conf`	Point Cloud Semantic Scene Completion with Prototype-Guided Transformer. AAAI Chenghao Fang, Jianqing Liang, Jiye Liang, Zijin Du, Feilong Cao
2026	A*	`conf`	Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction. AAAI Ming Li, Huiting Wang, Yuting Chen, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
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 adaptive contextual learning network for image inpainting. Signal Process. Image Commun. Feilong Cao, Xinru Shao, Rui Zhang, Chenglin Wen
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`	Construction and approximation rate for feedforward neural network operators with sigmoidal functions. J. Comput. Appl. Math. Dansheng Yu, Feilong Cao
2025	A*	`conf`	EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction. ICML Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio
2025	J	`jnl`	Feature Qualification by Deep Nets: A Constructive Approach. CoRR Feilong Cao, Shao-Bo Lin
2025	A*	`conf`	MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition. IJCAI Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang
2025	A*	`conf`	Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer. IJCAI Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, 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
2025	J	`jnl`	TSI-GCN: Translation and scaling invariant GCN for 3D point cloud analysis. Pattern Recognit. Lett. Zijin Du, Jiye Liang, Kaixuan Yao, 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 matrix representation for the Heisenberg group. Int. J. Wavelets Multiresolution Inf. Process. Qiuhui Chen, 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`	A novel Complementary Dual-aware Network for point cloud classification. Eng. Appl. Artif. Intell. Rui Hu, Feilong Cao, Wenjian Wang
2024	J	`jnl`	A novel autism spectrum disorder identification method: spectral graph network with brain-population graph structure joint learning. Int. J. Mach. Learn. Cybern. Sihui Li, Duo Li, Rui Zhang, 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`	Component-based Sketching for Deep ReLU Nets. CoRR Di Wang, Shao-Bo Lin, Deyu Meng, Feilong Cao
2024	J	`jnl`	Fast point completion network. Neural Comput. Appl. Chenghao Fang, Bing Yang, Hailiang Ye, Feilong Cao
2024	J	`jnl`	Graph Regulation Network for Point Cloud Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, 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`	Robust graph neural networks with Dirichlet regularization and residual connection. Int. J. Mach. Learn. Cybern. Kaixuan Yao, Zijin Du, Ming Li, Feilong Cao, Jiye Liang
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 dynamic graph aggregation framework for 3D point cloud registration. Eng. Appl. Artif. Intell. Feilong Cao, Jiatong Shi, Chenglin Wen
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`	Adaptive one-stage generative adversarial network for unpaired image super-resolution. Neural Comput. Appl. Mingwen Shao, Huan Liu, Jianxin Yang, 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`	Are Graph Convolutional Networks With Random Weights Feasible? IEEE Trans. Pattern Anal. Mach. Intell. Changqin Huang, Ming Li, Feilong Cao, Hamido Fujita, Zhao Li, Xindong Wu
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	A*	`conf`	How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang
2023	J	`jnl`	Image Super-Resolution Using a Simple Transformer Without Pretraining. Neural Process. Lett. Huan Liu, Mingwen Shao, Chao Wang, Feilong Cao
2023	J	`jnl`	Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud. IEEE Trans. Pattern Anal. Mach. Intell. Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao
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 new rotation forest ensemble algorithm. Int. J. Mach. Learn. Cybern. Chenglin Wen, Tingting Huai, Qinghua Zhang, Zhihuan Song, Feilong Cao
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
2022	J	`jnl`	Multi-view graph convolutional networks with attention mechanism. Artif. Intell. Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao
2021	J	`jnl`	3D mixed CNNs with edge-point feature learning. Knowl. Based Syst. Zijin Du, Hailiang Ye, Feilong Cao
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`	A stochastic age-structured HIV/AIDS model based on parameters estimation and its numerical calculation. Math. Comput. Simul. Jie Ren, Qimin Zhang, Xining Li, Feilong Cao, Ming Ye
2021	J	`jnl`	Algorithms of matrix recovery based on truncated Schatten p-norm. Int. J. Mach. Learn. Cybern. Chenglin Wen, Wenchao Qian, Qinghua Zhang, Feilong Cao
2021	J	`jnl`	An automatic 2D to 3D video conversion approach based on RGB-D images. Multim. Tools Appl. Baiyu Pan, Liming Zhang, Hanxiong Yin, Jun Lan, Feilong Cao
2021	J	`jnl`	Consensus-based distributed learning for robust convex optimization with a scenario approach. Concurr. Comput. Pract. Exp. Feilong Cao, Fan Feng
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`	Deep neural network compression through interpretability-based filter pruning. Pattern Recognit. Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang
2021	J	`jnl`	Densely connected network with improved pyramidal bottleneck residual units for super-resolution. J. Vis. Commun. Image Represent. Feilong Cao, Baijie Chen
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
2021	J	`jnl`	Salient Object Detection Based on Visual Perceptual Saturation and Two-Stream Hybrid Networks. IEEE Trans. Image Process. Chen Pan, Jianfeng Liu, Wei Qi Yan, Feilong Cao, Wei He, Yongxia Zhou
2020	J	`jnl`	A Compact Recursive Dense Convolutional Network for image classification. Neurocomputing Jianwei Zhao, Taoye Huang, Zhenghua Zhou, Feilong Cao
2020	J	`jnl`	A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. Hailiang Ye, Feilong Cao, Dianhui Wang
2020	J	`jnl`	Adaptive sparse and dense hybrid representation with nonconvex optimization. Frontiers Comput. Sci. Xuejun Wang, Feilong Cao, Wenjian Wang
2020	J	`jnl`	Cascaded dual-scale crossover network for hyperspectral image classification. Knowl. Based Syst. Feilong Cao, Wenhui Guo
2020	J	`jnl`	Deconvolutional neural network for image super-resolution. Neural Networks Feilong Cao, Kaixuan Yao, Jiye Liang
2020	J	`jnl`	Deep hybrid dilated residual networks for hyperspectral image classification. Neurocomputing Feilong Cao, Wenhui Guo
2020	J	`jnl`	Improved dual-scale residual network for image super-resolution. Neural Networks Huan Liu, Feilong Cao
2020	J	`jnl`	Lightweight multi-scale residual networks with attention for image super-resolution. Knowl. Based Syst. Huan Liu, Feilong Cao, Chenglin Wen, Qinghua Zhang
2020	J	`jnl`	Modeling a stochastic age-structured capital system with Poisson jumps using neural networks. Inf. Sci. Jie Ren, Qimin Zhang, Feilong Cao, Chunmei Ding, Li Wang
2020	J	`jnl`	On the Approximation Lower Bound for Neural Nets with Random Weights. CoRR Sho Sonoda, Ming Li, Feilong Cao, Changqin Huang, Yu Guang 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	J	`jnl`	Adaptive algorithms for low-rank and sparse matrix recovery with truncated nuclear norm. Int. J. Mach. Learn. Cybern. Wenchao Qian, Feilong Cao
2019	J	`jnl`	Effective segmentations in white blood cell images using ϵ -SVR-based detection method. Neural Comput. Appl. Feilong Cao, Yuehua Liu, Zhen Huang, Jianjun Chu, Jianwei Zhao
2019	J	`jnl`	New architecture of deep recursive convolution networks for super-resolution. Knowl. Based Syst. Feilong Cao, Baijie Chen
2019	J	`jnl`	Single image super-resolution based on adaptive convolutional sparse coding and convolutional neural networks. J. Vis. Commun. Image Represent. Jianwei Zhao, Chen Chen, Zhenghua Zhou, Feilong Cao
2019	J	`jnl`	Single image super-resolution via multi-scale residual channel attention network. Neurocomputing Feilong Cao, Huan Liu
2019	J	`jnl`	Super-resolution using neighbourhood regression with local structure prior. Signal Process. Image Commun. Keqiuyin Li, Feilong Cao
2018	J	`jnl`	A new method for image super-resolution with multi-channel constraints. Knowl. Based Syst. Feilong Cao, Keqiuyin Li
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
2018	J	`jnl`	Distributed support vector machine in master-slave mode. Neural Networks Qingguo Chen, Feilong Cao
2018	J	`jnl`	Efficient saliency detection using convolutional neural networks with feature selection. Inf. Sci. Feilong Cao, Yuehua Liu, Dianhui Wang
2018	J	`jnl`	Image super-resolution via adaptive sparse representation and self-learning. IET Comput. Vis. Jianwei Zhao, Tiantian Sun, Feilong Cao
2018	J	`jnl`	Robust object tracking using a sparse coadjutant observation model. Multim. Tools Appl. Jianwei Zhao, Weidong Zhang, Feilong Cao
2018	J	`jnl`	Sparsity-Based Spatiotemporal Fusion via Adaptive Multi-Band Constraints. Remote. Sens. Hanchi Ying, Yee Leung, Feilong Cao, Tung Fung, Jie Xue
2018	J	`jnl`	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 Zhebin Gu, Feilong Cao
2017	J	`jnl`	A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network. Neural Networks Jianwei Zhao, Yongbiao Lv, Zhenghua Zhou, Feilong Cao
2017	J	`jnl`	A novel segmentation algorithm for nucleus in white blood cells based on low-rank representation. Neural Comput. Appl. Feilong Cao, Miaomiao Cai, Jianjun Chu, Jianwei Zhao, Zhenghua Zhou
2017	J	`jnl`	Automatic detection and classification of leukocytes using convolutional neural networks. Medical Biol. Eng. Comput. Jianwei Zhao, Minshu Zhang, Zhenghua Zhou, Jianjun Chu, Feilong Cao
2017	C	`conf`	Consensus-based Parallel Algorithm for Robust Convex Optimization with Scenario Approach in Colored Network. IDEAL Fan Feng, Feilong Cao
2017	J	`jnl`	Image super-resolution via adaptive sparse representation. Knowl. Based Syst. Jianwei Zhao, Heping Hu, Feilong Cao
2017	J	`jnl`	Nonlocaly Multi-Morphological Representation for Image Reconstruction From Compressive Measurements. IEEE Trans. Image Process. Jiao Wu, Feilong Cao, Juncheng Yin
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
2017	J	`jnl`	Segmentation of White Blood Cells Image Using Adaptive Location and Iteration. IEEE J. Biomed. Health Informatics Yuehua Liu, Feilong Cao, Jianwei Zhao, Jianjun Chu
2017	J	`jnl`	Sparse representation for robust face recognition by dictionary decomposition. J. Vis. Commun. Image Represent. Feilong Cao, Xinshan Feng, Jianwei Zhao
2017	J	`jnl`	Super-resolution reconstruction: using non-local structure similarity and edge sharpness dictionary. IET Image Process. Jianwei Zhao, Heping Hu, Zhenghua Zhou, Feilong Cao
2016	J	`jnl`	An iterative learning algorithm for feedforward neural networks with random weights. Inf. Sci. Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang
2016	J	`jnl`	Image Super-Resolution via Adaptive ℓ IEEE Trans. Neural Networks Learn. Syst. Feilong Cao, Miaomiao Cai, Yuanpeng Tan, Jianwei Zhao
2016	J	`jnl`	Pose and illumination variable face recognition via sparse representation and illumination dictionary. Knowl. Based Syst. Feilong Cao, Heping Hu, Jing Lu, Jianwei Zhao, Zhenghua Zhou, Jiao Wu
2016	J	`jnl`	Scattered data approximation by neural networks operators. Neurocomputing Zhixiang Chen, Feilong Cao
2016	J	`jnl`	Simultaneous approximation by spherical neural networks. Neurocomputing Shaobo Lin, Feilong Cao
2015	J	`jnl`	A New System of Face Recognition: Using Fuzziness and Sparsity. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Yuanpeng Tan, Feilong Cao, Miaomiao Cai
2015	J	`jnl`	A local learning algorithm for random weights networks. Knowl. Based Syst. Jianwei Zhao, Zhihui Wang, Feilong Cao, Dianhui Wang
2015	J	`jnl`	A novel algorithm of extended neural networks for image recognition. Eng. Appl. Artif. Intell. Kankan Dai, Jianwei Zhao, Feilong Cao
2015	J	`jnl`	A novel decorrelated neural network ensemble algorithm for face recognition. Knowl. Based Syst. Kankan Dai, Jianwei Zhao, Feilong Cao
2015	J	`jnl`	A novel face recognition method: Using random weight networks and quasi-singular value decomposition. Neurocomputing Wanggen Wan, Zhenghua Zhou, Jianwei Zhao, Feilong Cao
2015	J	`jnl`	A probabilistic learning algorithm for robust modeling using neural networks with random weights. Inf. Sci. Feilong Cao, Hailiang Ye, Dianhui Wang
2015	J	`jnl`	An adiabatic quantum algorithm and its application to DNA motif model discovery. Inf. Sci. Huaixin Cao, Dianhui Wang, Feilong Cao
2015	J	`jnl`	Approximation by network operators with logistic activation functions. Appl. Math. Comput. Zhixiang Chen, Feilong Cao, Jinjie Hu
2015	J	`jnl`	Image Interpolation via Low-Rank Matrix Completion and Recovery. IEEE Trans. Circuits Syst. Video Technol. Feilong Cao, Miaomiao Cai, Yuanpeng Tan
2015	J	`jnl`	Learning Algorithm of Neural Networks on Spherical Cap. J. Networks Zhixiang Chen, Jinjie Hu, Feilong Cao
2015	Misc	`conf`	Leukocyte image segmentation using feed forward neural networks with random weights. ICNC Feilong Cao, Jing Lu, Jianjun Chu, Zhenghua Zhou, Jianwei Zhao, Guoqiang Chen
2015	J	`jnl`	Multiscale interpolation on the sphere: Convergence rate and inverse theorem. Appl. Math. Comput. Ming Li, Feilong Cao
2015	J	`jnl`	Quantum artificial neural networks with applications. Inf. Sci. Huaixin Cao, Feilong Cao, Dianhui Wang
2014	J	`jnl`	A novel approach for fault diagnosis of induction motor with invariant character vectors. Inf. Sci. Zhenghua Zhou, Jianwei Zhao, Feilong Cao
2014	J	`jnl`	A study on effectiveness of extreme learning machine. CoRR Yuguang Wang, Feilong Cao, Yubo Yuan
2014	J	`jnl`	Compressed classification learning with Markov chain samples. Neural Networks Feilong Cao, Tenghui Dai, Yongquan Zhang, Yuanpeng Tan
2014	J	`jnl`	Diagnosis of fatigue crack growth with recursive random weight networks. Comput. Electr. Eng. Zhenghua Zhou, Jianwei Zhao, Feilong Cao
2014	J	`jnl`	Extended feed forward neural networks with random weights for face recognition. Neurocomputing Jing Lu, Jianwei Zhao, Feilong Cao
2014	J	`jnl`	Extreme learning machine with errors in variables. World Wide Web Jianwei Zhao, Zhihui Wang, Feilong Cao
2014	J	`jnl`	Generalization Bounds of Regularization Algorithm with Gaussian Kernels. Neural Process. Lett. Feilong Cao, Yufang Liu, Weiguo Zhang
2014	J	`jnl`	Human face recognition based on ensemble of polyharmonic extreme learning machine. Neural Comput. Appl. Jianwei Zhao, Zhenghua Zhou, Feilong Cao
2014	J	`jnl`	Sparse algorithms of Random Weight Networks and applications. Expert Syst. Appl. Feilong Cao, Yuanpeng Tan, Miaomiao Cai
2013	B	`conf`	A Reduction Algorithm for the Big Data in 3D Surface Reconstruction. SMC Jianwei Zhao, Yanqing Fu, Yuanpeng Tan, Feilong Cao
2013	J	`jnl`	Approximation by neural networks with scattered data. Appl. Math. Comput. Shaobo Lin, Xiaofei Guo, Feilong Cao, Zongben Xu
2013	—	`conf`	Face Recognition Based on Random Weights Network and Quasi Singular Value Decomposition. ICIC (3) Zhenghua Zhou, Jianwei Zhao, Feilong Cao
2013	—	`conf`	Fast Image Classification Algorithms Based on Random Weights Networks. ISNN (1) Feilong Cao, Jianwei Zhao, Bo Liu
2013	J	`jnl`	Image classification based on effective extreme learning machine. Neurocomputing Feilong Cao, Bo Liu, Dong Sun Park
2012	J	`jnl`	A general radial quasi-interpolation operator on the sphere. J. Approx. Theory Shaobo Lin, Feilong Cao, Xiangyu Chang, Zongben Xu
2012	J	`jnl`	Analysis of convergence performance of neural networks ranking algorithm. Neural Networks Yongquan Zhang, Feilong Cao
2012	J	`jnl`	Error estimates of quasi-interpolation and its derivatives. J. Comput. Appl. Math. Zhixiang Chen, Feilong Cao, Jinjie Hu
2012	J	`jnl`	Estimation of convergence rate for multi-regression learning algorithm. Sci. China Inf. Sci. Zongben Xu, Yongquan Zhang, Feilong Cao
2012	J	`jnl`	Generalized extreme learning machine acting on a metric space. Soft Comput. Jianwei Zhao, Dong Sun Park, Joonwhoan Lee, Feilong Cao
2012	J	`jnl`	Learning Rates for Regularized Classifiers Using Trigonometric Polynomial Kernels. Neural Process. Lett. Feilong Cao, Dan Wu, Joonwhoan Lee
2012	J	`jnl`	Learning rates of least-square regularized regression with strongly mixing observation. Int. J. Mach. Learn. Cybern. Yongquan Zhang, Feilong Cao, Canwei Yan
2012	J	`jnl`	Learning rates of support vector machine classifier for density level detection. Neurocomputing Feilong Cao, Xing Xing, Jianwei Zhao
2012	J	`jnl`	Software reliability modeling with removed errors and compounded-decreased-rate. Math. Comput. Model. Yubo Yuan, Hou-Ying Zhu, Bo Liu, Feilong Cao
2012	J	`jnl`	The Diameter of Connected Domination Critical Graphs. Ars Comb. Chengye Zhao, Feilong Cao
2011	Misc	`conf`	A novel software reliability model with the decrease-rate of removing errors. ICMLC Hou-Ying Zhu, Yubo Yuan, Feilong Cao, Bo Liu
2011	J	`jnl`	A study on effectiveness of extreme learning machine. Neurocomputing Yuguang Wang, Feilong Cao, Yubo Yuan
2011	Misc	`conf`	Baby formula classification based on forth order polynomial smoothing support vector machine. ICMLC Yubo Yuan, Jing Lu, Feilong Cao
2011	J	`jnl`	Essential rate for approximation by spherical neural networks. Neural Networks Shaobo Lin, Feilong Cao, Zongben Xu
2011	J	`jnl`	Estimation of learning rate of least square algorithm via Jackson operator. Neurocomputing Yongquan Zhang, Feilong Cao, Zongben Xu
2011	J	`jnl`	Optimal rate of the regularized regression learning algorithm. Int. J. Comput. Math. Yongquan Zhang, Feilong Cao, Zongben Xu
2011	J	`jnl`	Optimization approximation solution for regression problem based on extreme learning machine. Neurocomputing Yubo Yuan, Yuguang Wang, Feilong Cao
2011	J	`jnl`	The Connected Domination and Tree Domination of P(n, k) for k = 1, 2, [n/2]. Ars Comb. Chengye Zhao, Yuansheng Yang, Linlin Sun, Feilong Cao
2011	J	`jnl`	The errors of simultaneous approximation of multivariate functions by neural networks. Comput. Math. Appl. Tingfan Xie, Feilong Cao
2010	Misc	`conf`	A new solution method to support vector machine based on arc smoothing function. ICNC Yubo Yuan, Feilong Cao
2010	C	`conf`	Adaptive control of singular nonlinear systems with convex/concave parametrization. ICARCV Qingxiang Fang, Feilong Cao
2010	Misc	`conf`	Approximate interpolation by a class of neural networks in Lebesgue metric. ICMLC Chunmei Ding, Yubo Yuan, Feilong Cao
2010	Misc	`conf`	Approximation by approximate interpolation neural networks with single hidden layer. ICMLC Chunmei Ding, Yubo Yuan, Feilong Cao
2010	J	`jnl`	Approximation capability of interpolation neural networks. Neurocomputing Feilong Cao, Shaobo Lin, Zongben Xu
2010	Misc	`conf`	Canonical duality solution to support vector machine. ICMLC Yubo Yuan, Feilong Cao
2010	J	`jnl`	Constructive approximate interpolation by neural networks in the metric space. Math. Comput. Model. Feilong Cao, Shaobo Lin, Zongben Xu
2010	Misc	`conf`	Estimate human gene family number by improved k-means clustering. ICMLC Dongmei Pu, Yubo Yuan, Feilong Cao
2010	Misc	`conf`	Exact and approximate interpolation for neural networks with single hidden layer. ICNC Feilong Cao, Yubo Yuan, Chunmei Ding
2010	J	`jnl`	Global errors for approximate approximations with Gaussian kernels on compact intervals. Appl. Math. Comput. Zhixiang Chen, Feilong Cao
2010	Misc	`conf`	Neural networks for interpolation of functionals on a Hilbert space. ICNC Jianwei Zhao, Feilong Cao
2010	Misc	`conf`	Sixth order polynomial smoothing approximation solution to support vector machine. ICMLC Yubo Yuan, Dongmei Pu, Feilong Cao
2010	Misc	`conf`	The construction and approximation for feedforword neural networks with fixed weights. ICMLC Feilong Cao, Tingfan Xie
2010	J	`jnl`	The errors in simultaneous approximation by feed-forward neural networks. Neurocomputing Tingfan Xie, Feilong Cao
2009	Misc	`conf`	Convergence rates for a class of neural networks with logarithmic function. GrC Feilong Cao, Yubo Yuan
2009	—	`conf`	Face Image Recognition Combining Holistic and Local Features. ISNN (3) Chen Pan, Feilong Cao
2009	J	`jnl`	Lower estimation of approximation rate for neural networks. Sci. China Ser. F Inf. Sci. Feilong Cao, Yongquan Zhang, Zongben Xu
2009	—	`conf`	Marrow Cell Segmentation by Simulating Visual System. ICNC (1) Chen Pan, Feilong Cao
2009	—	`conf`	Segmentation of Blood and Bone Marrow Cell Images via Learning by Sampling. ICIC (1) Chen Pan, Huijuan Lu, Feilong Cao
2009	J	`jnl`	The approximation operators with sigmoidal functions. Comput. Math. Appl. Zhixiang Chen, Feilong Cao
2009	J	`jnl`	The errors of approximation for feedforward neural networks in the L Math. Comput. Model. Feilong Cao, Rui Zhang
2008	—	`conf`	An Improvement to Ant Colony Optimization Heuristic. ISNN (1) Youmei Li, Zongben Xu, Feilong Cao
2008	J	`jnl`	K-functionals and multivariate Bernstein polynomials. J. Approx. Theory Chunmei Ding, Feilong Cao
2008	J	`jnl`	The estimate for approximation error of neural networks: A constructive approach. Neurocomputing Feilong Cao, Tingfan Xie, Zongben Xu
2007	—	`conf`	The Constructive Methods and Numerical Results for Approximation of Neural Networks. ICNC (1) Ruyue Yang, Xing Pan, Feilong Cao
2006	—	`conf`	The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units. ISNN (1) Chunmei Ding, Feilong Cao, Zongben Xu
2005	J	`jnl`	Derivatives of multidimensional Bernstein operators and smoothness. J. Approx. Theory Feilong Cao
2005	—	`conf`	Generalization and Property Analysis of GENET. ISNN (1) Youmei Li, Zongben Xu, Feilong Cao
2005	—	`conf`	Pointwise Approximation for Neural Networks. ISNN (1) Feilong Cao, Zongben Xu, Youmei Li
2004	J	`jnl`	The essential order of approximation for neural networks. Sci. China Ser. F Inf. Sci. Zongben Xu, Feilong Cao
2003	J	`jnl`	Multivariate Stancu operators defined on a simplex. Appl. Math. Comput. Ruyue Yang, Jingyi Xiong, Feilong Cao