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ORCIDJinxi Zhao
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2020 – today
- 2021
[c35]Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao:
Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. NAACL-HLT 2021: 2376-2382- [i1]Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao:
Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. CoRR abs/2104.08682 (2021)
2010 – 2019
- 2019
- [j15]Baile Xu, Furao Shen, Jinxi Zhao:
A density-based competitive data stream clustering network with self-adaptive distance metric. Neural Networks 110: 141-158 (2019) - [j14]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): 1104-1118 (2019) - 2018
- [c34]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: 4318-4325 - 2017
- [j13]Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao:
An online incremental orthogonal component analysis method for dimensionality reduction. Neural Networks 85: 33-50 (2017) - [c33]Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang:
Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning. ICONIP (1) 2017: 43-52 - [c32]Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang:
A Self-adaptive Growing Method for Training Compact RBF Networks. ICONIP (1) 2017: 74-81 - [c31]Yu Liang, Yi Yang, Furao Shen, Jinxi Zhao, Tao Zhu:
An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction. ICONIP (2) 2017: 383-392 - [c30]Xu Zhang, Furao Shen, Jinxi Zhao, GuoHai Yang:
Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition. ICONIP (5) 2017: 523-532 - 2016
- [j12]Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao:
Orthogonal component analysis: A fast dimensionality reduction algorithm. Neurocomputing 177: 136-146 (2016) - [j11]Youlu Xing, Xiaofeng Shi, Furao Shen, Ke Zhou, Jinxi Zhao:
A Self-Organizing Incremental Neural Network based on local distribution learning. Neural Networks 84: 143-160 (2016) - [j10]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): 607-620 (2016) - [c29]Zhihui Lv, Furao Shen, Jinxi Zhao, Tao Zhu:
A Swarm Intelligence Algorithm Inspired by Twitter. ICONIP (3) 2016: 344-351 - [c28]Qilin Deng, Yi Yang, Furao Shen, Chaomin Luo, Jinxi Zhao:
An Incremental One Class Learning Framework for Large Scale Data. ICONIP (2) 2016: 411-418 - [c27]Yi Yang, Qilin Deng, Furao Shen, Jinxi Zhao, Chaomin Luo:
A Shapelet Learning Method for Time Series Classification. ICTAI 2016: 423-430 - [c26]Yu Liang, Furao Shen, Jinxi Zhao, Yi Yang:
A Fast Manifold Learning Algorithm for Dimensionality Reduction. ICTAI 2016: 985-988 - [c25]Baile Xu, Furao Shen, Jinxi Zhao:
Density Based Self Organizing Incremental Neural Network for data stream clustering. IJCNN 2016: 2654-2661 - [c24]Xiaofeng Shi, Furao Shen, Jinxi Zhao:
Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces. IJCNN 2016: 3038-3045 - 2015
- [j9]Furao Shen, Jing Chao, Jinxi Zhao:
Forecasting exchange rate using deep belief networks and conjugate gradient method. Neurocomputing 167: 243-253 (2015) - [c23]Shaofeng Shen, Qiang Gan, Furao Shen, Chaomin Luo, Jinxi Zhao:
An Incremental Network with Local Experts Ensemble. ICONIP (3) 2015: 515-522 - [c22]Youlu Xing, Furao Shen, Jinxi Zhao:
Perception Evolution Network Adapting to the Emergence of New Sensory Receptor. IJCAI 2015: 3967-3973 - [c21]Qiang Gan, Furao Shen, Jinxi Zhao:
Improved Manifold Learning with competitive Hebbian rule. IJCNN 2015: 1-6 - [c20]Xiaofeng Shi, Guoqiang Xu, Furao Shen, Jinxi Zhao:
Solving the data imbalance problem of P300 detection via Random Under-Sampling Bagging SVMs. IJCNN 2015: 1-5 - [c19]Youlu Xing, Furao Shen, Chaomin Luo, Jinxi Zhao:
L3-SVM: a lifelong learning method for SVM. IJCNN 2015: 1-8 - [c18]Haoran Xu, Youlu Xing, Furao Shen, Jinxi Zhao:
An online incremental learning algorithm for time series. IJCNN 2015: 1-5 - [c17]Tianyu Qiu, Furao Shen, Jinxi Zhao:
Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation. PAKDD (1) 2015: 418-428 - [c16]Youlu Xing, Tongyi Cao, Ke Zhou, Furao Shen, Jinxi Zhao:
An Incremental Local Distribution Network for Unsupervised Learning. PAKDD (1) 2015: 646-658 - 2014
- [j8]Xiong You, Yonglei Fang, Jinxi Zhao:
Special extended Nyström tree theory for ERKN methods. J. Comput. Appl. Math. 263: 478-499 (2014) - [j7]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): 147-176 (2014) - [c15]Qiang Gan, Furao Shen, Jinxi Zhao:
An Extended Isomap for Manifold Topology Learning with SOINN Landmarks. ICPR 2014: 1579-1584 - [c14]Ren Zhang, Furao Shen, Jinxi Zhao:
A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting. IJCNN 2014: 366-373 - [c13]Jie Lu, Furao Shen, Jinxi Zhao:
Using self-organizing incremental neural network (SOINN) For radial basis function networks. IJCNN 2014: 2142-2148 - [c12]Meng Hu, Furao Shen, Jinxi Zhao:
Hidden Markov models based dynamic hand gesture recognition with incremental learning method. IJCNN 2014: 3108-3115 - 2013
- [j6]Jun Zheng, Furao Shen, Hongjun Fan, Jinxi Zhao:
An online incremental learning support vector machine for large-scale data. Neural Comput. Appl. 22(5): 1023-1035 (2013) - [c11]Wenyong Chen, Furao Shen, Jinxi Zhao:
A computational model of selecting visual attention based on bottom-up and top-down feature combination. IJCNN 2013: 1-5 - [c10]Zelin Tang, Furao Shen, Jinxi Zhao:
Speaker recognition based on SOINN and incremental learning Gaussian mixture model. IJCNN 2013: 1-6 - [c9]Youlu Xing, Furao Shen, Jinxi Zhao:
A perception evolution network for unsupervised fast incremental learning. IJCNN 2013: 1-8 - [c8]Guoqiang Xu, Furao Shen, Jinxi Zhao:
The effect of methods addressing the class imbalance problem on P300 detection. IJCNN 2013: 1-5 - [c7]Tao Zhu, Furao Shen, Jinxi Zhao:
An incremental learning face recognition system for single sample per person. IJCNN 2013: 1-6 - 2012
- [j5]Ye Xu, Furao Shen, Jinxi Zhao:
An incremental learning vector quantization algorithm for pattern classification. Neural Comput. Appl. 21(6): 1205-1215 (2012) - [c6]Qiubao Ouyang, Furao Shen, Jinxi Zhao:
A Local Distribution Net for Data Clustering. PRICAI 2012: 411-422 - 2011
- [j4]Xiong You, Yonghui Zhang, Jinxi Zhao:
Trigonometrically-fitted Scheifele two-step methods for perturbed oscillators. Comput. Phys. Commun. 182(7): 1481-1490 (2011) - [c5]Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao:
TAKES: a fast method to select features in the kernel space. CIKM 2011: 683-692 - [c4]Jing Chao, Furao Shen, Jinxi Zhao:
Forecasting exchange rate with deep belief networks. IJCNN 2011: 1259-1266 - 2010
- [c3]Jun Zheng, Hui Yu, Furao Shen, Jinxi Zhao:
An Online Incremental Learning Support Vector Machine for Large-scale Data. ICANN (2) 2010: 76-81
2000 – 2009
- 2009
- [c2]Ye Xu, Furao Shen, Jinxi Zhao, Osamu Hasegawa:
To obtain orthogonal feature extraction using training data selection. CIKM 2009: 1819-1822 - [c1]Ye Xu, Furao Shen, Osamu Hasegawa, Jinxi Zhao:
An Online Incremental Learning Vector Quantization. PAKDD 2009: 1046-1053 - 2005
- [j3]Yuming Shen, Jinxi Zhao, Hongjun Fan:
Properties and computations of matrix pseudospectra. Appl. Math. Comput. 161(2): 385-393 (2005) - 2003
- [j2]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): 441-455 (2003)
1990 – 1999
- 1998
- [j1]Jinxi Zhao:
The generalized Cholesky factorization method for saddle point problems. Appl. Math. Comput. 92(1): 49-58 (1998)
Coauthor Index
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