Xinzheng Xu

According to our database, Xinzheng Xu authored at least 57 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Complementary Labels Learning with Augmented Classes.

Zhongnian Li, Mengting Xu, Xinzheng Xu, Daoqiang Zhang

Knowl. Based Syst., 2024

Learning from True-False Labels via Multi-modal Prompt Retrieving.

Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu

CoRR, 2024

Determined Multi-Label Learning via Similarity-Based Prompt.

Meng Wei, Zhongnian Li, Peng Ying, Yong Zhou, Xinzheng Xu

CoRR, 2024

Learning from Concealed Labels.

Zhongnian Li, Meng Wei, Peng Ying, Tongfeng Sun, Xinzheng Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning from Reduced Labels for Long-Tailed Data.

Meng Wei, Zhongnian Li, Yong Zhou, Xinzheng Xu

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories.

Zhongnian Li, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

2023

TPN: Triple parts network for few-shot instance segmentation.

Haotian Wang, Shibin Zhou, Xinzheng Xu, Guopeng Zhang

Multim. Tools Appl., December, 2023

Class-imbalanced complementary-label learning via weighted loss.

Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu

Neural Networks, September, 2023

Human pose estimation model based on DiracNets and integral pose regression.

Xinzheng Xu, Yanyan Guo, Xin Wang

Multim. Tools Appl., September, 2023

Learning from hybrid labels with partial labels via hybrid-grained contrast regularization.

Xinzheng Xu, Jian Zhang, Zhongnian Li

Appl. Soft Comput., September, 2023

Learning from Stochastic Labels.

Meng Wei, Zhongnian Li, Yong Zhou, Qiaoyu Guo, Xinzheng Xu

CoRR, 2023

2022

Image Style Transfering Based on StarGAN and Class Encoder.

Xinzheng Xu, Jianying Chang, Shifei Ding

Int. J. Softw. Informatics, 2022

Complementary Labels Learning with Augmented Classes.

Zhongnian Li, Jian Zhang, Mengting Xu, Xinzheng Xu, Daoqiang Zhang

CoRR, 2022

Learning from Positive and Unlabeled Data with Augmented Classes.

Zhongnian Li, Liutao Yang, Zhongchen Ma, Tongfeng Sun, Xinzheng Xu, Daoqiang Zhang

CoRR, 2022

2021

An iterative stacked weighted auto-encoder.

Tongfeng Sun, Shifei Ding, Xinzheng Xu

Soft Comput., 2021

SE-DCGAN: a New Method of Semantic Image Restoration.

Fangyan Zhang, Xin Wang, Tongfeng Sun, Xinzheng Xu

Cogn. Comput., 2021

2020

An ensemble learning framework for convolutional neural network based on multiple classifiers.

Yanyan Guo, Xin Wang, Pengcheng Xiao, Xinzheng Xu

Soft Comput., 2020

Sample selection-based hierarchical extreme learning machine.

Xinzheng Xu, Shan Li, Tianming Liang, Tongfeng Sun

Neurocomputing, 2020

Research on adaptive local feature enhancement in convolutional neural networks.

Tongfeng Sun, Changlong Shao, Hongmei Liao, Shifei Ding, Xinzheng Xu

IET Image Process., 2020

A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices.

Zuopeng Zhao, Zhongxin Zhang, Xinzheng Xu, Yi Xu, Hualin Yan, Lan Zhang

Comput. Intell. Neurosci., 2020

Driver Distraction Detection Method Based on Continuous Head Pose Estimation.

Zuopeng Zhao, Sili Xia, Xinzheng Xu, Lan Zhang, Hualin Yan, Yi Xu, Zhongxin Zhang

Comput. Intell. Neurosci., 2020

2019

Multi-label learning method based on ML-RBF and laplacian ELM.

Xinzheng Xu, Dong Shan, Shan Li, Tongfeng Sun, Pengcheng Xiao, Jianping Fan

Neurocomputing, 2019

Review of classical dimensionality reduction and sample selection methods for large-scale data processing.

Xinzheng Xu, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng Sun

Neurocomputing, 2019

An effective asynchronous framework for small scale reinforcement learning problems.

Shifei Ding, Xingyu Zhao, Xinzheng Xu, Tongfeng Sun, Weikuan Jia

Appl. Intell., 2019

2018

Rank-Adaptive Non-Negative Matrix Factorization.

Dong Shan, Xinzheng Xu, Tianming Liang, Shifei Ding

Cogn. Comput., 2018

An image response framework for no-reference image quality assessment.

Tongfeng Sun, Shifei Ding, Xinzheng Xu

Comput. Electr. Eng., 2018

2017

A new image classification method based on modified condensed nearest neighbor and convolutional neural networks.

Tianming Liang, Xinzheng Xu, Pengcheng Xiao

Pattern Recognit. Lett., 2017

Pulse-coupled neural networks and parameter optimization methods.

Xinzheng Xu, Guanying Wang, Shifei Ding, Yuhu Cheng, Xuesong Wang

Neural Comput. Appl., 2017

Unsupervised extreme learning machine with representational features.

Shifei Ding, Nan Zhang, Jian Zhang, Xinzheng Xu, Zhongzhi Shi

Int. J. Mach. Learn. Cybern., 2017

Medical images segmentation based on improved three-dimensional pulse coupled neural network.

Maxin Wang, Xinzheng Xu, Guanying Wang, Shifei Ding, Tongfeng Sun

Int. J. Wirel. Mob. Comput., 2017

Self-Adaptive PCNN Based on the ACO Algorithm and its Application on Medical Image Segmentation.

Xinzheng Xu, Tianming Liang, Guanying Wang, Maxin Wang, Xuesong Wang

Intell. Autom. Soft Comput., 2017

2016

Medical image registration based on self-adapting pulse-coupled neural networks and mutual information.

Guanying Wang, Xinzheng Xu, Xiangying Jiang, Shifei Ding

Neural Comput. Appl., 2016

A wavelet extreme learning machine.

Shifei Ding, Jian Zhang, Xinzheng Xu, Yanan Zhang

Neural Comput. Appl., 2016

Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering.

Li Xu, Shifei Ding, Xinzheng Xu, Nan Zhang

Cogn. Comput., 2016

No-reference image quality assessment based on gradient histogram response.

Tongfeng Sun, Shifei Ding, Wei Chen, Xinzheng Xu

Comput. Electr. Eng., 2016

Multimodal medical image fusion using PCNN optimized by the QPSO algorithm.

Xinzheng Xu, Dong Shan, Guanying Wang, Xiangying Jiang

Appl. Soft Comput., 2016

Convolutional Neural Networks Optimized by Logistic Regression Model.

Bo Yang, Zuopeng Zhao, Xinzheng Xu

Proceedings of the Intelligent Information Processing VIII, 2016

2015

A new method for constructing granular neural networks based on rule extraction and extreme learning machine.

Xinzheng Xu, Guanying Wang, Shifei Ding, Xiangying Jiang, Zuopeng Zhao

Pattern Recognit. Lett., 2015

An adaptive extreme learning machine algorithm and its application on face recognition.

Jian Ni, Xinzheng Xu, Shifei Ding, Tongfeng Sun

Int. J. Comput. Sci. Math., 2015

Extreme learning machine: algorithm, theory and applications.

Shifei Ding, Han Zhao, Yanan Zhang, Xinzheng Xu, Ru Nie

Artif. Intell. Rev., 2015

A New Method for Driver Fatigue Detection Based on Eye State.

Xinzheng Xu, Xiaoming Cui, Guanying Wang, Tongfeng Sun, Hongguo Feng

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

2014

The latest research progress on spectral clustering.

Hongjie Jia, Shifei Ding, Xinzheng Xu, Ru Nie

Neural Comput. Appl., 2014

Extreme learning machine and its applications.

Shifei Ding, Xinzheng Xu, Ru Nie

Neural Comput. Appl., 2014

2013

Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS).

Xinzheng Xu, Shifei Ding, Weikuan Jia, Gang Ma, Fengxiang Jin

Neural Comput. Appl., 2013

A parallel attribute reduction algorithm based on Affinity Propagation clustering.

Hong Zhu, Shifei Ding, Xinzheng Xu, Li Xu

J. Comput., 2013

An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets.

Yanan Zhang, Shifei Ding, Xinzheng Xu, Han Zhao, Wanqiu Xing

J. Comput., 2013

Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines.

Huajuan Huang, Shifei Ding, Hong Zhu, Xinzheng Xu

J. Comput., 2013

A Novel Extreme Learning Machine Based on Hybrid Kernel Function.

Shifei Ding, Yanan Zhang, Xinzheng Xu, Lina Bao

J. Comput., 2013

2012

Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm.

Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu

J. Zhejiang Univ. Sci. C, 2012

2011

Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network.

Xinzheng Xu, Shifei Ding, Zhongzhi Shi, Hong Zhu, Zuopeng Zhao

J. Comput., 2011

Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA).

Shifei Ding, Xinzheng Xu, Hong Zhu, Jian Wang, Fengxiang Jin

J. Comput., 2011

2010

Neural Networks Algorithm Based on Factor Analysis.

Shifei Ding, Weikuan Jia, Xinzheng Xu, Hong Zhu

Proceedings of the Advances in Neural Networks, 2010

A novel quantum-inspired particle swarm algorithm and its application.

Ru Nie, Xinzheng Xu, Jianhua Yue

Proceedings of the Sixth International Conference on Natural Computation, 2010

2009

Research on a principal components decision algorithm based on information entropy.

Shifei Ding, Yongping Zhang, Xiaofeng Lei, Xinzheng Xu, Xin Wang, Li Wang, Qing He

J. Inf. Sci., 2009

2008

PCA-Based Elman Neural Network Algorithm.

Shifei Ding, Weikuan Jia, Chunyang Su, Xinzheng Xu, Liwen Zhang

Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

Some Progress of Supervised Learning.

Chunyang Su, Shifei Ding, Weikuan Jia, Xin Wang, Xinzheng Xu

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

2007

A Structural Adapting Self-organizing Maps Neural Network.

Xinzheng Xu, Wenhua Zeng, Zuopeng Zhao

Proceedings of the Advances in Neural Networks, 2007