Zizhu Fan

According to our database, Zizhu Fan authored at least 46 papers between 2008 and 2024.

Collaborative distances:

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

2024

Multiview Adaptive K-Nearest Neighbor Classification.

Zizhu Fan, Yijing Huang, Chao Xi, Qiang Liu

IEEE Trans. Artif. Intell., March, 2024

Semi-supervised fuzzy broad learning system based on mean-teacher model.

Zizhu Fan, Yijing Huang, Chao Xi, Cheng Peng, Shitong Wang

Pattern Anal. Appl., March, 2024

Efficient license plate recognition in unconstrained scenarios.

Chao Wei, Fei Han, Zizhu Fan, Linrui Shi, Cheng Peng

J. Vis. Commun. Image Represent., 2024

Semi-supervised multiview fuzzy broad learning.

Chao Xi, Zizhu Fan, Cheng Peng, Qiang Liu, Hui Wang

Inf. Sci., 2024

Large Language Model based Agent Framework for Electric Vehicle Charging Behavior Simulation.

Junkang Feng, Chenggang Cui, Chuanlin Zhang, Zizhu Fan

CoRR, 2024

Real-Time Text Detection with Multi-level Feature Fusion and Pixel Clustering.

Lu Xu, Zhufeng Jiang, Xingyu Han, Hui Wang, Zizhu Fan

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023

Discriminative Fisher Embedding Dictionary Transfer Learning for Object Recognition.

Zizhu Fan, Linrui Shi, Qiang Liu, Zhengming Li, Zheng Zhang

IEEE Trans. Neural Networks Learn. Syst., 2023

Kernel Fisher Dictionary Transfer Learning.

Linrui Shi, Zheng Zhang, Zizhu Fan, Chao Xi, Zhengming Li, Gaochang Wu

ACM Trans. Knowl. Discov. Data, 2023

DLVR-NWP: A Novel Data-Driven Bearing Degradation Model for RUL Estimation.

Qiang Liu, Yijie Zhang, Xiaosheng Si, Zizhu Fan

IEEE Trans. Instrum. Meas., 2023

Disturbance Robust Abnormality Diagnosis of Fused Magnesium Furnaces Using Deep Neural Networks.

Qiang Liu, Yang Zhang, Gaochang Wu, Zizhu Fan

IEEE Trans. Artif. Intell., 2023

2022

NMFLRR: Clustering scRNA-Seq Data by Integrating Nonnegative Matrix Factorization With Low Rank Representation.

Wei Zhang, Xiaoli Xue, Xiaoying Zheng, Zizhu Fan

IEEE J. Biomed. Health Informatics, 2022

Real Time Power Equipment Meter Recognition Based on Deep Learning.

Zizhu Fan, Linrui Shi, Chao Xi, Hui Wang, Song Wang, Gaochang Wu

IEEE Trans. Instrum. Meas., 2022

Incomplete multi-modal brain image fusion for epilepsy classification.

Qi Zhu, Huijie Li, Haizhou Ye, Zhiqiang Zhang, Ran Wang, Zizhu Fan, Daoqiang Zhang

Inf. Sci., 2022

A survey of crowd counting and density estimation based on convolutional neural network.

Zizhu Fan, Hong Zhang, Zheng Zhang, Guangming Lu, Yudong Zhang, Yaowei Wang

Neurocomputing, 2022

2021

Improving decomposition-based multiobjective evolutionary algorithm with local reference point aided search.

Jing Jiang, Fei Han, Jie Wang, Qinghua Ling, Henry Han, Zizhu Fan

Inf. Sci., 2021

2020

An Effective Lunar Crater Recognition Algorithm Based on Convolutional Neural Network.

Song Wang, Zizhu Fan, Zhengming Li, Hong Zhang, Chao Wei

Remote. Sens., 2020

Fast kernel sparse representation based classification for Undersampling problem in face recognition.

Zizhu Fan, Chao Wei

Multim. Tools Appl., 2020

2018

Virtual dictionary based kernel sparse representation for face recognition.

Zizhu Fan, Da Zhang, Xin Wang, Qi Zhu, Yuan-Fang Wang

Pattern Recognit., 2018

An interactively constrained discriminative dictionary learning algorithm for image classification.

Zhengming Li, Zheng Zhang, Zizhu Fan, Jie Wen

Eng. Appl. Artif. Intell., 2018

2016

Individualized learning for improving kernel Fisher discriminant analysis.

Zizhu Fan, Yong Xu, Ming Ni, Xiaozhao Fang, David Zhang

Pattern Recognit., 2016

An efficient sparse representation based classification for undersampled face recognition.

Zizhu Fan, Lipan Kang, Zuoyong Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Using Feature Correlation Measurement to Improve the Kernel Minimum Squared Error Algorithm.

Zizhu Fan, Zuoyong Li

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Erratum to: Appearance-based bidirectional representation for palmprint recognition.

Jinrong Cui, Jiajun Wen, Zizhu Fan

Multim. Tools Appl., 2015

Appearance-based bidirectional representation for palmprint recognition.

Jinrong Cui, Jiajun Wen, Zizhu Fan

Multim. Tools Appl., 2015

L₀-norm sparse representation based on modified genetic algorithm for face recognition.

Zizhu Fan, Ming Ni, Qi Zhu, Chengli Sun, Lipan Kang

J. Vis. Commun. Image Represent., 2015

Manifold discriminant regression learning for image classification.

Yuwu Lu, Zhihui Lai, Zizhu Fan, Jinrong Cui, Qi Zhu

Neurocomputing, 2015

Weighted sparse representation for face recognition.

Zizhu Fan, Ming Ni, Qi Zhu, Ergen Liu

Neurocomputing, 2015

Fast Sparse Representation Classification Using Transfer Learning.

Qi Zhu, Baisheng Dai, Zizhu Fan, Zheng Zhang

Proceedings of the Cloud Computing and Security - First International Conference, 2015

2014

Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models.

Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, Jinhui Tang, Zhihui Lai, David Zhang

IEEE Trans. Neural Networks Learn. Syst., 2014

An efficient KPCA algorithm based on feature correlation evaluation.

Zizhu Fan, Jinghua Wang, Baogen Xu, Pengzhi Tang

Neural Comput. Appl., 2014

Locality and similarity preserving embedding for feature selection.

Xiaozhao Fang, Yong Xu, Xuelong Li, Zizhu Fan, Hong Liu, Yan Chen

Neurocomputing, 2014

Kernel sparse representation based classification for undersampled problem.

Zizhu Fan, Ming Ni, Qi Zhu, Yuwu Lu

Proceedings of the International Conference on Smart Computing, 2014

2013

Coarse to fine K nearest neighbor classifier.

Yong Xu, Qi Zhu, Zizhu Fan, Minna Qiu, Yan Chen, Hong Liu

Pattern Recognit. Lett., 2013

Local minimum squared error for face and handwritten character recognition.

Zizhu Fan, Jinghua Wang, Qi Zhu, Xiaozhao Fang, Jinrong Cui, Chunhua Li

J. Electronic Imaging, 2013

Using the idea of the sparse representation to perform coarse-to-fine face recognition.

Yong Xu, Qi Zhu, Zizhu Fan, David Zhang, Jian-Xun Mi, Zhihui Lai

Inf. Sci., 2013

From the idea of "sparse representation" to a representation-based transformation method for feature extraction.

Yong Xu, Qi Zhu, Zizhu Fan, Yaowu Wang, Jeng-Shyang Pan

Neurocomputing, 2013

A sparse representation method of bimodal biometrics and palmprint recognition experiments.

Yong Xu, Zizhu Fan, Minna Qiu, David Zhang, Jing-Yu Yang

Neurocomputing, 2013

Principal Component Analysis Integrating Mahalanobis Distance for Face Recognition.

Zizhu Fan, Ming Ni, Meibo Sheng, Zejiu Wu, Baogen Xu

Proceedings of the Second International Conference on Robot, Vision and Signal Processing, 2013

Design and Implementation of a Bimodal Face Recognition System.

Yong Xu, Jian Yang, Jiajie Xu, Qi Zhu, Zizhu Fan

Proceedings of the Intelligence Science and Big Data Engineering, 2013

Novel Matrix Based Feature Extraction Method for Face Recognition Using Gaborface Features.

Qi Zhu, Yong Xu, Yuwu Lu, Jiajun Wen, Zizhu Fan, Zhengming Li

Proceedings of the Genetic and Evolutionary Computing, 2013

2012

Supervised sparse representation method with a heuristic strategy and face recognition experiments.

Yong Xu, Wangmeng Zuo, Zizhu Fan

Neurocomputing, 2012

Kernel based sparse representation for face recognition.

Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Local Linear Discriminant Analysis Framework Using Sample Neighbors.

Zizhu Fan, Yong Xu, David Dapeng Zhang

IEEE Trans. Neural Networks, 2011

Weighted Principal Component Analysis.

Zizhu Fan, Ergen Liu, Baogen Xu

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2010

An Automatic Index Validity for Clustering.

Zizhu Fan, Xiangang Jiang, Baogen Xu, Zhaofeng Jiang

Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

2008

A New Unsupervised Approach to Face Recognition.

Zizhu Fan, Ergen Liu

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008