Jinxi Zhao - RankMe

51 papers A* 2A 2B 20Journal 16Unranked 11

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