Jinxi Zhao

According to our database, Jinxi Zhao authored at least 50 papers between 1998 and 2021.

Collaborative distances:

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

2021

Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm.

Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2019

Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding.

Youlu Xing, Xiaofeng Shi, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan

IEEE Trans. Neural Networks Learn. Syst., 2019

A density-based competitive data stream clustering network with self-adaptive distance metric.

Baile Xu, Furao Shen, Jinxi Zhao

Neural Networks, 2019

2018

Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding.

Youlu Xing, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An online incremental orthogonal component analysis method for dimensionality reduction.

Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao

Neural Networks, 2017

Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning.

Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition.

Xu Zhang, Furao Shen, Jinxi Zhao, GuoHai Yang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Self-adaptive Growing Method for Training Compact RBF Networks.

Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction.

Yu Liang, Yi Yang, Furao Shen, Jinxi Zhao, Tao Zhu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Perception Evolution Network Based on Cognition Deepening Model - Adapting to the Emergence of New Sensory Receptor.

Youlu Xing, Furao Shen, Jinxi Zhao

IEEE Trans. Neural Networks Learn. Syst., 2016

A Self-Organizing Incremental Neural Network based on local distribution learning.

Youlu Xing, Xiaofeng Shi, Furao Shen, Ke Zhou, Jinxi Zhao

Neural Networks, 2016

Orthogonal component analysis: A fast dimensionality reduction algorithm.

Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao

Neurocomputing, 2016

Density Based Self Organizing Incremental Neural Network for data stream clustering.

Baile Xu, Furao Shen, Jinxi Zhao

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces.

Xiaofeng Shi, Furao Shen, Jinxi Zhao

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Shapelet Learning Method for Time Series Classification.

Yi Yang, Qilin Deng, Furao Shen, Jinxi Zhao, Chaomin Luo

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Fast Manifold Learning Algorithm for Dimensionality Reduction.

Yu Liang, Furao Shen, Jinxi Zhao, Yi Yang

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Swarm Intelligence Algorithm Inspired by Twitter.

Zhihui Lv, Furao Shen, Jinxi Zhao, Tao Zhu

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Incremental One Class Learning Framework for Large Scale Data.

Qilin Deng, Yi Yang, Furao Shen, Chaomin Luo, Jinxi Zhao

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Forecasting exchange rate using deep belief networks and conjugate gradient method.

Furao Shen, Jing Chao, Jinxi Zhao

Neurocomputing, 2015

An Incremental Local Distribution Network for Unsupervised Learning.

Youlu Xing, Tongyi Cao, Ke Zhou, Furao Shen, Jinxi Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation.

Tianyu Qiu, Furao Shen, Jinxi Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

An online incremental learning algorithm for time series.

Haoran Xu, Youlu Xing, Furao Shen, Jinxi Zhao

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

L³-SVM: a lifelong learning method for SVM.

Youlu Xing, Furao Shen, Chaomin Luo, Jinxi Zhao

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Solving the data imbalance problem of P300 detection via Random Under-Sampling Bagging SVMs.

Xiaofeng Shi, Guoqiang Xu, Furao Shen, Jinxi Zhao

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improved Manifold Learning with competitive Hebbian rule.

Qiang Gan, Furao Shen, Jinxi Zhao

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Perception Evolution Network Adapting to the Emergence of New Sensory Receptor.

Youlu Xing, Furao Shen, Jinxi Zhao

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Incremental Network with Local Experts Ensemble.

Shaofeng Shen, Qiang Gan, Furao Shen, Chaomin Luo, Jinxi Zhao

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Order conditions for RKN methods solving general second-order oscillatory systems.

Xiong You, Jinxi Zhao, Hongli Yang, Yonglei Fang, Xinyuan Wu

Numer. Algorithms, 2014

Special extended Nyström tree theory for ERKN methods.

Xiong You, Yonglei Fang, Jinxi Zhao

J. Comput. Appl. Math., 2014

A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting.

Ren Zhang, Furao Shen, Jinxi Zhao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Using self-organizing incremental neural network (SOINN) For radial basis function networks.

Jie Lu, Furao Shen, Jinxi Zhao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hidden Markov models based dynamic hand gesture recognition with incremental learning method.

Meng Hu, Furao Shen, Jinxi Zhao

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An Extended Isomap for Manifold Topology Learning with SOINN Landmarks.

Qiang Gan, Furao Shen, Jinxi Zhao

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

An online incremental learning support vector machine for large-scale data.

Jun Zheng, Furao Shen, Hongjun Fan, Jinxi Zhao

Neural Comput. Appl., 2013

An incremental learning face recognition system for single sample per person.

Tao Zhu, Furao Shen, Jinxi Zhao

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

The effect of methods addressing the class imbalance problem on P300 detection.

Guoqiang Xu, Furao Shen, Jinxi Zhao

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A perception evolution network for unsupervised fast incremental learning.

Youlu Xing, Furao Shen, Jinxi Zhao

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Speaker recognition based on SOINN and incremental learning Gaussian mixture model.

Zelin Tang, Furao Shen, Jinxi Zhao

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A computational model of selecting visual attention based on bottom-up and top-down feature combination.

Wenyong Chen, Furao Shen, Jinxi Zhao

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

An incremental learning vector quantization algorithm for pattern classification.

Ye Xu, Furao Shen, Jinxi Zhao

Neural Comput. Appl., 2012

A Local Distribution Net for Data Clustering.

Qiubao Ouyang, Furao Shen, Jinxi Zhao

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

2011

Trigonometrically-fitted Scheifele two-step methods for perturbed oscillators.

Xiong You, Yonghui Zhang, Jinxi Zhao

Comput. Phys. Commun., 2011

Forecasting exchange rate with deep belief networks.

Jing Chao, Furao Shen, Jinxi Zhao

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

TAKES: a fast method to select features in the kernel space.

Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

An Online Incremental Learning Support Vector Machine for Large-scale Data.

Jun Zheng, Hui Yu, Furao Shen, Jinxi Zhao

Proceedings of the Artificial Neural Networks, 2010

2009

An Online Incremental Learning Vector Quantization.

Ye Xu, Furao Shen, Osamu Hasegawa, Jinxi Zhao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

To obtain orthogonal feature extraction using training data selection.

Ye Xu, Furao Shen, Jinxi Zhao, Osamu Hasegawa

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2005

Properties and computations of matrix pseudospectra.

Yuming Shen, Jinxi Zhao, Hongjun Fan

Appl. Math. Comput., 2005

2003

Analysis of peaks and plateaus in a Galerkin/minimal residual pair of methods for solving Ax=b.

Yuming Shen, Jinxi Zhao

Appl. Math. Comput., 2003

1998

The generalized Cholesky factorization method for saddle point problems.

Jinxi Zhao

Appl. Math. Comput., 1998