A Structural Adapting Self-organizing Maps Neural Network. - Xinzheng Xu; Wenhua Zeng; Zuopeng Zhao (ISNN (2), 2007)

Some Progress of Supervised Learning. - Chunyang Su; Shifei Ding; Weikuan Jia; Xin Wang 144; Xinzheng Xu (ICIC (2), 2008)

PCA-Based Elman Neural Network Algorithm. - Shifei Ding; Weikuan Jia; Chunyang Su; Xinzheng Xu; Liwen Zhang (ISICA, 2008)

Research on a principal components decision algorithm based on information entropy. - Shifei Ding; Yongping Zhang; Xiaofeng Lei; Xinzheng Xu; Xin Wang 144; Li Wang; Qing He (J. Inf. Sci., 2009)

A novel quantum-inspired particle swarm algorithm and its application. - Ru Nie; Xinzheng Xu; Jianhua Yue (ICNC, 2010)

Neural Networks Algorithm Based on Factor Analysis. - Shifei Ding; Weikuan Jia; Xinzheng Xu; Hong Zhu 005 (ISNN (1), 2010)

Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA). - Shifei Ding; Xinzheng Xu; Hong Zhu 005; Jian Wang 048; Fengxiang Jin (J. Comput., 2011)

Particle Swarm Optimization for Automatic Parameters Determination of Pulse Coupled Neural Network. - Xinzheng Xu; Shifei Ding; Zhongzhi Shi; Hong Zhu 005; Zuopeng Zhao (J. Comput., 2011)

Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm. - Xinzheng Xu; Shifei Ding; Zhongzhi Shi; Hong Zhu 005 (J. Zhejiang Univ. Sci. C, 2012)

A Novel Extreme Learning Machine Based on Hybrid Kernel Function. - Shifei Ding; Yanan Zhang 004; Xinzheng Xu; Lina Bao (J. Comput., 2013)

Invasive Weed Optimization Algorithm for Optimizating the Parameters of Mixed Kernel Twin Support Vector Machines. - Huajuan Huang; Shifei Ding; Hong Zhu 005; Xinzheng Xu (J. Comput., 2013)

An Algorithm Research for Prediction of Extreme Learning Machines Based on Rough Sets. - Yanan Zhang 004; Shifei Ding; Xinzheng Xu; Han Zhao; Wanqiu Xing (J. Comput., 2013)

A parallel attribute reduction algorithm based on Affinity Propagation clustering. - Hong Zhu 005; Shifei Ding; Xinzheng Xu; Li Xu (J. Comput., 2013)

Research of assembling optimized classification algorithm by neural network based on Ordinary Least Squares (OLS). - Xinzheng Xu; Shifei Ding; Weikuan Jia; Gang Ma 001; Fengxiang Jin (Neural Comput. Appl., 2013)

Extreme learning machine and its applications. - Shifei Ding; Xinzheng Xu; Ru Nie (Neural Comput. Appl., 2014)

The latest research progress on spectral clustering. - Hongjie Jia; Shifei Ding; Xinzheng Xu; Ru Nie (Neural Comput. Appl., 2014)

A New Method for Driver Fatigue Detection Based on Eye State. - Xinzheng Xu; Xiaoming Cui; Guanying Wang; Tongfeng Sun; Hongguo Feng (RSKT, 2015)

Extreme learning machine: algorithm, theory and applications. - Shifei Ding; Han Zhao; Yanan Zhang 004; Xinzheng Xu; Ru Nie (Artif. Intell. Rev., 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)

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)

Convolutional Neural Networks Optimized by Logistic Regression Model. - Bo Yang; Zuopeng Zhao; Xinzheng Xu (IIP, 2016)

Multimodal medical image fusion using PCNN optimized by the QPSO algorithm. - Xinzheng Xu; Dong Shan; Guanying Wang; Xiangying Jiang (Appl. Soft Comput., 2016)

No-reference image quality assessment based on gradient histogram response. - Tongfeng Sun; Shifei Ding; Wei Chen 036; Xinzheng Xu (Comput. Electr. Eng., 2016)

Self-adaptive Extreme Learning Machine Optimized by Rough Set Theory and Affinity Propagation Clustering. - Li Xu; Shifei Ding; Xinzheng Xu; Nan Zhang 014 (Cogn. Comput., 2016)

A wavelet extreme learning machine. - Shifei Ding; Jian Zhang 019; Xinzheng Xu; Yanan Zhang 004 (Neural Comput. Appl., 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)

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 001 (Intell. Autom. Soft Comput., 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)

Unsupervised extreme learning machine with representational features. - Shifei Ding; Nan Zhang 014; Jian Zhang 019; Xinzheng Xu; Zhongzhi Shi (Int. J. Mach. Learn. Cybern., 2017)

Pulse-coupled neural networks and parameter optimization methods. - Xinzheng Xu; Guanying Wang; Shifei Ding; Yuhu Cheng; Xuesong Wang 001 (Neural Comput. Appl., 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)

An image response framework for no-reference image quality assessment. - Tongfeng Sun; Shifei Ding; Xinzheng Xu (Comput. Electr. Eng., 2018)

Rank-Adaptive Non-Negative Matrix Factorization. - Dong Shan; Xinzheng Xu; Tianming Liang; Shifei Ding (Cogn. Comput., 2018)

An effective asynchronous framework for small scale reinforcement learning problems. - Shifei Ding; Xingyu Zhao 002; Xinzheng Xu; Tongfeng Sun; Weikuan Jia (Appl. Intell., 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)

Multi-label learning method based on ML-RBF and laplacian ELM. - Xinzheng Xu; Dong Shan; Shan Li; Tongfeng Sun; Pengcheng Xiao; Jianping Fan 001 (Neurocomputing, 2019)

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)

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)

Research on adaptive local feature enhancement in convolutional neural networks. - Tongfeng Sun; Changlong Shao; Hongmei Liao; Shifei Ding; Xinzheng Xu (IET Image Process., 2020)

Sample selection-based hierarchical extreme learning machine. - Xinzheng Xu; Shan Li; Tianming Liang; Tongfeng Sun (Neurocomputing, 2020)

An ensemble learning framework for convolutional neural network based on multiple classifiers. - Yanyan Guo; Xin Wang 144; Pengcheng Xiao; Xinzheng Xu (Soft Comput., 2020)

SE-DCGAN: a New Method of Semantic Image Restoration. - Fangyan Zhang; Xin Wang 144; Tongfeng Sun; Xinzheng Xu (Cogn. Comput., 2021)

An iterative stacked weighted auto-encoder. - Tongfeng Sun; Shifei Ding; Xinzheng Xu (Soft Comput., 2021)

Learning from Positive and Unlabeled Data with Augmented Classes. - Zhongnian Li; Liutao Yang; Zhongchen Ma; Tongfeng Sun; Xinzheng Xu; Daoqiang Zhang (CoRR, 2022)

Complementary Labels Learning with Augmented Classes. - Zhongnian Li; Jian Zhang 019; Mengting Xu; Xinzheng Xu; Daoqiang Zhang (CoRR, 2022)

Image Style Transfering Based on StarGAN and Class Encoder. - Xinzheng Xu; Jianying Chang; Shifei Ding (Int. J. Softw. Informatics, 2022)

Learning from Stochastic Labels. - Meng Wei 006; Zhongnian Li; Yong Zhou 003; Qiaoyu Guo; Xinzheng Xu (CoRR, 2023)

Learning from hybrid labels with partial labels via hybrid-grained contrast regularization. - Xinzheng Xu; Jian Zhang 019; Zhongnian Li (Appl. Soft Comput., 2023)

Human pose estimation model based on DiracNets and integral pose regression. - Xinzheng Xu; Yanyan Guo; Xin Wang 144 (Multim. Tools Appl., 2023)

Class-imbalanced complementary-label learning via weighted loss. - Meng Wei 006; Yong Zhou 003; Zhongnian Li; Xinzheng Xu (Neural Networks, 2023)

TPN: Triple parts network for few-shot instance segmentation. - Haotian Wang; Shibin Zhou; Xinzheng Xu; Guopeng Zhang (Multim. Tools Appl., 2023)

Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories. - Zhongnian Li; Peng Ying; Meng Wei 006; Tongfeng Sun; Xinzheng Xu (ICMR, 2024)

Learning from Reduced Labels for Long-Tailed Data. - Meng Wei 006; Zhongnian Li; Yong Zhou 003; Xinzheng Xu (ICMR, 2024)

Learning from Concealed Labels. - Zhongnian Li; Meng Wei 006; Peng Ying; Tongfeng Sun; Xinzheng Xu (ACM Multimedia, 2024)

Determined Multi-Label Learning via Similarity-Based Prompt. - Meng Wei 006; Zhongnian Li; Peng Ying; Yong Zhou 003; Xinzheng Xu (CoRR, 2024)

Learning from True-False Labels via Multi-modal Prompt Retrieving. - Zhongnian Li; Jinghao Xu; Peng Ying; Meng Wei 006; Tongfeng Sun; Xinzheng Xu (CoRR, 2024)

CoA: Chain-of-Action for Generative Semantic Labels. - Meng Wei 006; Zhongnian Li; Peng Ying; Xinzheng Xu (CoRR, 2024)

Complementary Labels Learning with Augmented Classes. - Zhongnian Li; Mengting Xu; Xinzheng Xu; Daoqiang Zhang (Knowl. Based Syst., 2024)

ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning. - Zhongnian Li; Meng Wei 006; Peng Ying; Xinzheng Xu (WSDM, 2025)

Sparse-Guided Partial Dense for Cross-Modal Remote Sensing Image-Text Retrieval. - Zuopeng Zhao; Xiaoran Miao; Lei Liu; Xinzheng Xu; Ying Liu; Jianfeng Hu; Bingbing Min; Yumeng Gao; Kanyaphakphachsorn Pharksuwan (IEEE Trans. Geosci. Remote. Sens., 2025)

Adversarial domain adaptation with CLIP for few-shot image classification. - Tongfeng Sun; Hongjian Yang; Zhongnian Li; Xinzheng Xu; Xiurui Wang (Appl. Intell., 2025)