Jinxi Zhao

Publication Activity (10 Years)

Years Active: 1998-2021
Publications (10 Years): 28

Top Topics

Dimensionality Reduction

Manifold Learning

Incremental Learning

Top Venues

Neural Networks

IEEE Trans. Neural Networks Learn. Syst.

Publications

Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao
Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. NAACL-HLT (2021)
Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao
Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. CoRR (2021)
Youlu Xing, Xiaofeng Shi, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan
Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding. IEEE Trans. Neural Networks Learn. Syst. 30 (4) (2019)
Baile Xu, Furao Shen, Jinxi Zhao
A density-based competitive data stream clustering network with self-adaptive distance metric. Neural Networks 110 (2019)
Youlu Xing, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan
Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding. AAAI (2018)
Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao
An online incremental orthogonal component analysis method for dimensionality reduction. Neural Networks 85 (2017)
Xu Zhang, Furao Shen, Jinxi Zhao, GuoHai Yang
Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition. ICONIP (5) (2017)
Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang
Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning. ICONIP (1) (2017)
Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang
A Self-adaptive Growing Method for Training Compact RBF Networks. ICONIP (1) (2017)
Yu Liang, Yi Yang, Furao Shen, Jinxi Zhao, Tao Zhu
An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction. ICONIP (2) (2017)
Yu Liang, Furao Shen, Jinxi Zhao, Yi Yang
A Fast Manifold Learning Algorithm for Dimensionality Reduction. ICTAI (2016)
Yi Yang, Qilin Deng, Furao Shen, Jinxi Zhao, Chaomin Luo
A Shapelet Learning Method for Time Series Classification. ICTAI (2016)
Baile Xu, Furao Shen, Jinxi Zhao
Density Based Self Organizing Incremental Neural Network for data stream clustering. IJCNN (2016)
Xiaofeng Shi, Furao Shen, Jinxi Zhao
Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces. IJCNN (2016)
Youlu Xing, Furao Shen, Jinxi Zhao
Perception Evolution Network Based on Cognition Deepening Model - Adapting to the Emergence of New Sensory Receptor. IEEE Trans. Neural Networks Learn. Syst. 27 (3) (2016)
ZhiHui Lv, Furao Shen, Jinxi Zhao, Tao Zhu
A Swarm Intelligence Algorithm Inspired by Twitter. ICONIP (3) (2016)
Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao
Orthogonal component analysis: A fast dimensionality reduction algorithm. Neurocomputing 177 (2016)
Youlu Xing, Xiaofeng Shi, Furao Shen, Ke Zhou, Jinxi Zhao
A Self-Organizing Incremental Neural Network based on local distribution learning. Neural Networks 84 (2016)
Qilin Deng, Yi Yang, Furao Shen, Chaomin Luo, Jinxi Zhao
An Incremental One Class Learning Framework for Large Scale Data. ICONIP (2) (2016)
Youlu Xing, Furao Shen, Jinxi Zhao
Perception Evolution Network Adapting to the Emergence of New Sensory Receptor. IJCAI (2015)
Xiaofeng Shi, Guoqiang Xu, Furao Shen, Jinxi Zhao
Solving the data imbalance problem of P300 detection via Random Under-Sampling Bagging SVMs. IJCNN (2015)
Furao Shen, Jing Chao, Jinxi Zhao
Forecasting exchange rate using deep belief networks and conjugate gradient method. Neurocomputing 167 (2015)
Haoran Xu, Youlu Xing, Furao Shen, Jinxi Zhao
An online incremental learning algorithm for time series. IJCNN (2015)
Tianyu Qiu, Furao Shen, Jinxi Zhao
Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation. PAKDD (1) (2015)
Youlu Xing, Tongyi Cao, Ke Zhou, Furao Shen, Jinxi Zhao
An Incremental Local Distribution Network for Unsupervised Learning. PAKDD (1) (2015)
Youlu Xing, Furao Shen, Chaomin Luo, Jinxi Zhao
-SVM: a lifelong learning method for SVM. IJCNN (2015)
Shaofeng Shen, Qiang Gan, Furao Shen, Chaomin Luo, Jinxi Zhao
An Incremental Network with Local Experts Ensemble. ICONIP (3) (2015)
Qiang Gan, Furao Shen, Jinxi Zhao
Improved Manifold Learning with competitive Hebbian rule. IJCNN (2015)
Meng Hu, Furao Shen, Jinxi Zhao
Hidden Markov models based dynamic hand gesture recognition with incremental learning method. IJCNN (2014)
Jie Lu, Furao Shen, Jinxi Zhao
Using self-organizing incremental neural network (SOINN) For radial basis function networks. IJCNN (2014)
Qiang Gan, Furao Shen, Jinxi Zhao
An Extended Isomap for Manifold Topology Learning with SOINN Landmarks. ICPR (2014)
Ren Zhang, Furao Shen, Jinxi Zhao
A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting. IJCNN (2014)
Xiong You, Yonglei Fang, Jinxi Zhao
Special extended Nyström tree theory for ERKN methods. J. Comput. Appl. Math. 263 (2014)
Xiong You, Jinxi Zhao, Hongli Yang, Yonglei Fang, Xinyuan Wu
Order conditions for RKN methods solving general second-order oscillatory systems. Numer. Algorithms 66 (1) (2014)
Zelin Tang, Furao Shen, Jinxi Zhao
Speaker recognition based on SOINN and incremental learning Gaussian mixture model. IJCNN (2013)
Wenyong Chen, Furao Shen, Jinxi Zhao
A computational model of selecting visual attention based on bottom-up and top-down feature combination. IJCNN (2013)
Tao Zhu, Furao Shen, Jinxi Zhao
An incremental learning face recognition system for single sample per person. IJCNN (2013)
Jun Zheng, Furao Shen, Hongjun Fan, Jinxi Zhao
An online incremental learning support vector machine for large-scale data. Neural Comput. Appl. 22 (5) (2013)
Youlu Xing, Furao Shen, Jinxi Zhao
A perception evolution network for unsupervised fast incremental learning. IJCNN (2013)
Guoqiang Xu, Furao Shen, Jinxi Zhao
The effect of methods addressing the class imbalance problem on P300 detection. IJCNN (2013)
Qiubao Ouyang, Furao Shen, Jinxi Zhao
A Local Distribution Net for Data Clustering. PRICAI (2012)
Ye Xu, Furao Shen, Jinxi Zhao
An incremental learning vector quantization algorithm for pattern classification. Neural Comput. Appl. 21 (6) (2012)
Jing Chao, Furao Shen, Jinxi Zhao
Forecasting exchange rate with deep belief networks. IJCNN (2011)
Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao
TAKES: a fast method to select features in the kernel space. CIKM (2011)
Xiong You, Yonghui Zhang, Jinxi Zhao
Trigonometrically-fitted Scheifele two-step methods for perturbed oscillators. Comput. Phys. Commun. 182 (7) (2011)
Jun Zheng, Hui Yu, Furao Shen, Jinxi Zhao
An Online Incremental Learning Support Vector Machine for Large-scale Data. ICANN (2) (2010)
Ye Xu, Shen Furao, Osamu Hasegawa, Jinxi Zhao
An Online Incremental Learning Vector Quantization. PAKDD (2009)
Ye Xu, Shen Furao, Jinxi Zhao, Osamu Hasegawa
To obtain orthogonal feature extraction using training data selection. CIKM (2009)
Yuming Shen, Jinxi Zhao, Hongjun Fan
Properties and computations of matrix pseudospectra. Appl. Math. Comput. 161 (2) (2005)
Yuming Shen, Jinxi Zhao
Analysis of peaks and plateaus in a Galerkin/minimal residual pair of methods for solving Ax=b. Appl. Math. Comput. 144 (2-3) (2003)
Jinxi Zhao
The generalized Cholesky factorization method for saddle point problems. Appl. Math. Comput. 92 (1) (1998)