Shen Furao

发表

A Self-adaptive Growing Method for Training Compact RBF Networks

Baile Xu, Shen Furao, Jinxi Zhao, 2017, ICONIP.

Density Based Self Organizing Incremental Neural Network for data stream clustering

Baile Xu, Shen Furao, Jinxi Zhao, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Inter-layer Collision Networks pdf

Shen Furao, Junyi An, Fengshan Liu, 2019, ArXiv.

An associative memory system for incremental learning and temporal sequence

Hui Yu, Shen Furao, Osamu Hasegawa, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

An Online Incremental Learning Vector Quantization

Ye Xu, Shen Furao, Jinxi Zhao, 2009, PAKDD.

Latent Semantics Encoding for Label Distribution Learning

Shen Furao, Suping Xu, Lin Shang, 2019, IJCAI.

A Real-Time Pedestrian Counting System Based on RGB-D

Xin Zhang, Shen Furao, Jian Zhao, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Orthogonal component analysis: A fast dimensionality reduction algorithm

Shen Furao, Jinxi Zhao, Tao Zhu, 2016, Neurocomputing.

An Improved Ant-Driven Approach to Navigation and Map Building

Chaomin Luo, Shen Furao, Hongwei Mo, 2017, ICSI.

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

Shen Furao, Jinxi Zhao, Guoqiang Xu, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

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

Xu Zhang, Shen Furao, Jinxi Zhao, 2017, ICONIP.

A Swarm Intelligence Algorithm Inspired by Twitter

ZhiHui Lv, Tao Zhu, Shen Furao, 2016, ICONIP.

An Incremental Neural Network for Online Supervised Learning and Topology Learning

Shen Furao, Osamu Hasegawa, Youki Kamiya, 2007, J. Adv. Comput. Intell. Intell. Informatics.

A Self-controlled Incremental Method for Vector Quantization

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2004 .

An incremental learning face recognition system for single sample per person

Tao Zhu, Shen Furao, Jinxi Zhao, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Automatic segmentation of Chinese Mandarin speech into syllable-like

Jian Li, Shen Furao, 2015, 2015 International Conference on Asian Language Processing (IALP).

An Extended Isomap for Manifold Topology Learning with SOINN Landmarks

Shen Furao, Jinxi Zhao, Qiang Gan, 2014, 2014 22nd International Conference on Pattern Recognition.

Locally linear SVMs based on boundary anchor points encoding

Jian Zhao, Baile Xu, Shen Furao, 2019, Neural Networks.

Pairwise Interactive Graph Attention Network for Context-Aware Recommendation pdf

Shen Furao, Yahui Liu, Jian Zhao, 2019, ArXiv.

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

Ah-Hwee Tan, Shen Furao, Jinxi Zhao, 2018, AAAI.

An adaptive incremental LBG for vector quantization

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2006, Neural Networks.

Speaker recognition based on SOINN and incremental learning Gaussian mixture model

Shen Furao, Jinxi Zhao, Zelin Tang, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

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

Shen Furao, Jinxi Zhao, Jun Zheng, 2011, Neural Computing and Applications.

Forecasting exchange rate using deep belief networks and conjugate gradient method

Shen Furao, Jinxi Zhao, Jing Chao, 2015, Neurocomputing.

An Online Incremental Semi-Supervised Learning Method

Hui Yu, Shen Furao, Osamu Hasegawa, 2010, J. Adv. Comput. Intell. Intell. Informatics.

Boundary aware navigation and mapping for a mobile automaton

Chaomin Luo, Jing Zhang, Gene Eu Jan, 2016, 2016 IEEE International Conference on Information and Automation (ICIA).

An Incremental Local Distribution Network for Unsupervised Learning

Ke Zhou, Shen Furao, Jinxi Zhao, 2015, PAKDD.

A general associative memory based on self-organizing incremental neural network

Shen Furao, Osamu Hasegawa, Wataru Kasai, 2013, Neurocomputing.

A parallel computing platform for training large scale neural networks

Rong Gu, Shen Furao, Yihua Huang, 2013, 2013 IEEE International Conference on Big Data.

An online incremental learning algorithm for time series

Shen Furao, Jinxi Zhao, Haoran Xu, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

How to Use the SOINN Software: User's Guide (Version 1.0)

Shen Furao, Osamu Hasegawa, Naoya Makibuchi, 2010, ICANN.

A Fast Manifold Learning Algorithm for Dimensionality Reduction

Yi Yang, Shen Furao, Jinxi Zhao, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

L3-SVM: a lifelong learning method for SVM

Chaomin Luo, Shen Furao, Jinxi Zhao, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A Nearest-Neighbour Method with Self-organizing Incremental Neural Network

Shen Furao, Osamu Hasegawa, 2007, 2007 International Joint Conference on Neural Networks.

A fast no search fractal image coding method

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2004, Signal Process. Image Commun..

An Incremental Network with Local Experts Ensemble

Chaomin Luo, Shen Furao, Jinxi Zhao, 2015, ICONIP.

An online incremental orthogonal component analysis method for dimensionality reduction

Shen Furao, Jinxi Zhao, Tao Zhu, 2017, Neural Networks.

Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering

Baile Xu, Shen Furao, Tianyue Zhang, 2017, ICONIP.

Naturally inspired optimization algorithms as applied to mobile robotic path planning

Chaomin Luo, Shen Furao, Hongwei Mo, 2014, 2014 IEEE Symposium on Swarm Intelligence.

A Self-organized Incremental Network for Online Supervised Learning and Topology Learning

Shen Furao, Osamu Hasegawa, Youki Kamiya, 2006 .

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

Ren Zhang, Shen Furao, Jinxi Zhao, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network

Hui Yu, Shen Furao, Osamu Hasegawa, 2011, Neural Computing and Applications.

Cross-dataset Time Series Anomaly Detection for Cloud Systems

Xu Zhang, Yong Xu, Hongyu Zhang, 2019, USENIX Annual Technical Conference.

Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace

Ye Xu, Wei Ping, Shen Furao, 2010, AAAI.

An incremental learning vector quantization algorithm for pattern classification

Ye Xu, Shen Furao, Jinxi Zhao, 2010, Neural Computing and Applications.

An effective fractal image coding method without search

Shen Furao, Osamu Hasegawa, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots

Shen Furao, Osamu Hasegawa, Naoya Makibuchi, 2010, ICANN.

A Growing Neural Network for Online Unsupervised Learning

Shen Furao, Osamu Hasegawa, 2004, J. Adv. Comput. Intell. Intell. Informatics.

An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network

Shen Furao, Osamu Hasegawa, Youki Kamiya, 2007, 2007 International Joint Conference on Neural Networks.

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

Meng Hu, Shen Furao, Jinxi Zhao, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Temporal Convolutional Attention-based Network For Sequence Modeling pdf

Yan Wang, Shen Furao, Jian Zhao, 2020, ArXiv.

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

Shen Furao, Jinxi Zhao, Jie Lu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

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

Ye Xu, Wei Ping, Shen Furao, 2011, CIKM '11.

Forecasting exchange rate with deep belief networks

Shen Furao, Jinxi Zhao, Jing Chao, 2011, The 2011 International Joint Conference on Neural Networks.

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

Shen Furao, Jinxi Zhao, Guoqiang Xu, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Multi-Agent formation control with target tracking and navigation

Chaomin Luo, Shen Furao, Lebin Liu, 2017, 2017 IEEE International Conference on Information and Automation (ICIA).

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

Jun Zheng, Hui Yu, Shen Furao, 2010, ICANN.

Perception Evolution Network Adapting to the Emergence of New Sensory Receptor

Shen Furao, Jinxi Zhao, Youlu Xing, 2015, IJCAI.

An incremental network for on-line unsupervised classification and topology learning

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2006, Neural Networks.

An Incremental Neural Network for Non-stationary Unsupervised Learning

Shen Furao, Osamu Hasegawa, 2004, ICONIP.

An enhanced self-organizing incremental neural network for online unsupervised learning

Shen Furao, Osamu Hasegawa, Tomotaka Ogura, 2007, Neural Networks.

Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning pdf

Jian Zhao, Xu Zhang, Baile Xu, 2019, ArXiv.

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

Shen Furao, Jinxi Zhao, Xiaofeng Shi, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

D-12-77 A Growing Network for On-line Unsupervised Learning

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2004 .

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

Baile Xu, Shen Furao, Jinxi Zhao, 2019, Neural Networks.

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

Shen Furao, Jinxi Zhao, Wenyong Chen, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A Multidirectional Associative Memory Based on Self-organizing Incremental Neural Network

Hui Yu, Shen Furao, Osamu Hasegawa, 2010, ICONIP.

Improved Manifold Learning with competitive Hebbian rule

Shen Furao, Jinxi Zhao, Qiang Gan, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A perception evolution network for unsupervised fast incremental learning

Shen Furao, Jinxi Zhao, Youlu Xing, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

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

Shen Furao, Jinxi Zhao, Ke Zhou, 2016, Neural Networks.

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

Tao Zhu, Shen Furao, Jinxi Zhao, 2017, ICONIP.

A Shapelet Learning Method for Time Series Classification

Yi Yang, Chaomin Luo, Shen Furao, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

IC Neuron: An Efficient Unit to Construct Neural Networks pdf

Shen Furao, Junyi An, Jian Zhao, 2020, Neural Networks.

Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation

Shen Furao, Jinxi Zhao, Tianyu Qiu, 2015, PAKDD.

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

Shen Furao, Jinxi Zhao, Youlu Xing, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Super Interaction Neural Network pdf

Jian Zhao, Baile Xu, Shen Furao, 2019, ArXiv.

Operation-aware Neural Networks for User Response Prediction

Jian Zhao, Yi Yang, Baile Xu, 2019, Neural Networks.

An on-line learning mechanism for unsupervised classification and topology representation

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network

Shen Furao, Osamu Hasegawa, Keisuke Sakurai, 2007, 2007 International Joint Conference on Neural Networks.

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

Yi Yang, Tao Zhu, Shen Furao, 2017, ICONIP.

Self-Organizing Incremental Neural Network and Its Application

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2010, ICANN.

An online incremental learning pattern-based reasoning system

Shen Furao, Osamu Hasegawa, Akihito Sudo, 2010, Neural Networks.

E-SOINN: Enhanced Self-Organizing Incremental Neural Network

Shen Furao, Hasegawa Osamu, Ogura Tomotaka, 2007 .

A fast nearest neighbor classifier based on self-organizing incremental neural network

Shen Furao, Osamu Hasegawa, O. Hasegawa, 2008, Neural Networks.

Annealing-based guidance of a rescue robot for rescue mission with multi-goal navigation

Chaomin Luo, Simon X. Yang, Shen Furao, 2015, 2015 IEEE International Conference on Information and Automation.

Fractal Image Coding with Simulated Annealing Search

Shen Furao, Osamu Hasegawa, 2005, J. Adv. Comput. Intell. Intell. Informatics.

A Local Distribution Net for Data Clustering

Shen Furao, Jinxi Zhao, Qiubao Ouyang, 2012, PRICAI.

Robust log-based anomaly detection on unstable log data

Xu Zhang, Hongyu Zhang, Yong Xu, 2019, ESEC/SIGSOFT FSE.

An Incremental One Class Learning Framework for Large Scale Data

Yi Yang, Shen Furao, Jinxi Zhao, 2016, ICONIP.

To obtain orthogonal feature extraction using training data selection

Ye Xu, Shen Furao, Jinxi Zhao, 2009, CIKM.

Inf-CP: A Reliable Channel Pruning based on Channel Influence pdf

Shen Furao, Bilan Lai, Haoran Xiang, 2021, ArXiv.

V-SOINN: A topology preserving visualization method for multidimensional data

Baile Xu, Shen Furao, Hui Dou, 2021, Neurocomputing.

Faster and Simpler Siamese Network for Single Object Tracking pdf

Baile Xu, Shen Furao, Jian Zhao, 2021, ArXiv.

SASICM A Multi-Task Benchmark For Subtext Recognition pdf

Shen Furao, Jian Zhao, Hua Yan, 2021, ArXiv.

Survey on Sequence Data Augmentation

Shen Furao, GE Yizhou, Xu Xiang, 2021 .

Multi-goal Motion Planning of an Autonomous Robot in Unknown Environments by an Ant Colony Optimization Approach

Chaomin Luo, Wenbing Zhao, Shen Furao, 2016, ICSI.