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ORCIDFurao Shen
Shen Furao
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- affiliation: Nanjing University
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2020 – today
- 2025
[j50]Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz:
Incomplete label distribution learning via label correlation decomposition. Inf. Fusion 113: 102600 (2025)- [j49]Xiaoliang Liu, Furao Shen
, Jian Zhao, Changhai Nie:
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on face recognition. Pattern Recognit. 157: 110915 (2025) - 2024
- [j48]Zhongye Gao, Mengjun Yi, Ying Jin, Hanwen Zhang, Yun Hao, Ming Yin, Ziwen Cai, Furao Shen:
A survey of research on several problems in the RoboCup3D simulation environment. Auton. Agents Multi Agent Syst. 38(1): 13 (2024) - [j47]Xiaoliang Liu, Furao Shen, Jian Zhao, Changhai Nie:
EAP: An effective black-box impersonation adversarial patch attack method on face recognition in the physical world. Neurocomputing 580: 127517 (2024) - [j46]Yuanjie Yan, Yuxuan Bu, Furao Shen, Jian Zhao:
Improving the transferability of adversarial examples with separable positive and negative disturbances. Neural Comput. Appl. 36(7): 3725-3736 (2024) - [j45]Suorong Yang, Suhan Guo, Jian Zhao, Furao Shen:
Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study. Pattern Recognit. 148: 110204 (2024) - [j44]Xiaoliang Liu, Furao Shen, Jian Zhao, Changhai Nie:
Self-supervised learning of monocular 3D geometry understanding with two- and three-view geometric constraints. Vis. Comput. 40(2): 1193-1204 (2024) - [c65]Sihan Song, Furao Shen, Jian Zhao:
RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition. AAAI 2024: 19017-19025 - [c64]Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Yinghui Xu, Yuan Qi, Furao Shen:
Hybrid Directional Graph Neural Network for Molecules. ICLR 2024 - [i29]Feifei Li, Suhan Guo, Feng Han, Jian Zhao, Furao Shen:
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting. CoRR abs/2405.05499 (2024) - [i28]Suorong Yang, Peijia Li, Xin Xiong, Furao Shen, Jian Zhao:
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation. CoRR abs/2405.11467 (2024) - [i27]Suorong Yang, Furao Shen, Jian Zhao:
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification. CoRR abs/2409.06290 (2024) - 2023
- [j43]Feng Han, Shaokui Jiang, Jianmin Wu, Baile Xu, Jian Zhao, Furao Shen:
Real-time object tracking in the wild with Siamese network. Multim. Tools Appl. 82(16): 24327-24343 (2023) - [j42]Feng Han, Shaokui Jiang, Jianmin Wu, Baile Xu, Jian Zhao, Furao Shen:
Correction to: Real-time object tracking in the wild with Siamese network. Multim. Tools Appl. 82(16): 24345 (2023) - [j41]Yue Shao, Baile Xu, Furao Shen, Jian Zhao:
A self-organizing incremental neural network for imbalance learning. Neural Comput. Appl. 35(13): 9789-9802 (2023) - [j40]Hui Dou, Furao Shen, Jian Zhao, Xinyu Mu:
Understanding neural network through neuron level visualization. Neural Networks 168: 484-495 (2023) - [j39]Yuanjie Yan, Junyi An, Jian Zhao, Furao Shen:
Hybrid optimization with unconstrained variables on partial point cloud registration. Pattern Recognit. 136: 109267 (2023) - [j38]Suhan Guo, Bilan Lai, Suorong Yang, Jian Zhao, Furao Shen:
Sensitivity pruner: Filter-Level compression algorithm for deep neural networks. Pattern Recognit. 140: 109508 (2023) - [j37]Suorong Yang, Jinqiao Li, Tianyue Zhang, Jian Zhao, Furao Shen:
AdvMask: A sparse adversarial attack-based data augmentation method for image classification. Pattern Recognit. 144: 109847 (2023) - [j36]Haoran Xiang, Furao Shen, Jian Zhao:
Deep ToA Mask-Based Recursive Radar Pulse Deinterleaving. IEEE Trans. Aerosp. Electron. Syst. 59(2): 989-1006 (2023) - [j35]Xiang Xu, Jian Zhao, Jianmin Wu, Furao Shen:
Switch and Refine: A Long-Term Tracking and Segmentation Framework. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1291-1304 (2023) - [c63]Baile Xu, Furao Shen, Jian Zhao:
Contrastive Open Set Recognition. AAAI 2023: 10546-10556 - [i26]Yuanjie Yan, Jian Zhao, Furao Shen:
Attribute-Specific Manipulation Based on Layer-Wise Channels. CoRR abs/2302.09260 (2023) - [i25]Xin Xiong, Furao Shen, Xiangyu Wang, Jian Zhao:
GIMM: InfoMin-Max for Automated Graph Contrastive Learning. CoRR abs/2305.17437 (2023) - [i24]Sihan Song, Furao Shen, Jian Zhao:
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition. CoRR abs/2307.07417 (2023) - [i23]Haoran Xiang, Junyu Dai, Xuchen Song, Furao Shen:
A Long-Tail Friendly Representation Framework for Artist and Music Similarity. CoRR abs/2309.04182 (2023) - [i22]Suorong Yang, Geng Zhang, Jian Zhao, Furao Shen:
A Simple Geometric-Aware Indoor Positioning Interpolation Algorithm Based on Manifold Learning. CoRR abs/2311.15583 (2023) - [i21]Xiaoliang Liu, Furao Shen, Feng Han, Jian Zhao, Changhai Nie:
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields. CoRR abs/2311.17332 (2023) - [i20]Xiaoliang Liu, Furao Shen, Jian Zhao, Changhai Nie:
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition. CoRR abs/2311.17339 (2023) - [i19]Suorong Yang, Hongchao Yang, Suhan Guo, Furao Shen, Jian Zhao:
Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency. CoRR abs/2312.05599 (2023) - 2022
- [j34]Tianyue Zhang, Yingke Mao, Furao Shen, Jian Zhao:
Label distribution learning through exploring nonnegative components. Neurocomputing 501: 212-221 (2022) - [j33]Feng Han, Xudong Wang, Furao Shen, Jian Zhao:
C-Face: Using Compare Face on Face Hallucination for Low-Resolution Face Recognition. J. Artif. Intell. Res. 74: 1715-1737 (2022) - [j32]Junyi An, Fengshan Liu, Furao Shen, Jian Zhao, Ruotong Li, Kepan Gao:
IC neuron: An efficient unit to construct neural networks. Neural Networks 145: 177-188 (2022) - [j31]Yan Wang, Yongshun Zhang, Furao Shen, Jian Zhao:
Dynamic Auxiliary Soft Labels for decoupled learning. Neural Networks 151: 132-142 (2022) - [j30]Feng Han, Xuejian Li, Jian Zhao, Furao Shen:
A unified perspective of classification-based loss and distance-based loss for cross-view gait recognition. Pattern Recognit. 125: 108519 (2022) - [j29]Tianyue Zhang, Furao Shen, Tao Zhu, Jian Zhao:
An Evolutionary Orthogonal Component Analysis Method for Incremental Dimensionality Reduction. IEEE Trans. Neural Networks Learn. Syst. 33(1): 392-405 (2022) - [j28]Peixin Chen, Xuan Zhou, Jian Zhao, Furao Shen, Sumei Sun:
Energy-Efficient Resource Allocation for Secure D2D Communications Underlaying UAV-Enabled Networks. IEEE Trans. Veh. Technol. 71(7): 7519-7531 (2022) - [c62]Xiaoliang Liu, Furao Shen, Jian Zhao, Changhai Nie:
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance. ICME 2022: 1-6 - [c61]Peixin Chen, Jian Zhao, Furao Shen:
Deep Reinforcement Learning Assisted UAV Trajectory and Resource Optimization for NOMA Networks. WCSP 2022: 933-938 - [i18]Jinqiao Li, Xiaotao Liu, Jian Zhao, Furao Shen:
AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack. CoRR abs/2203.09756 (2022) - [i17]Suorong Yang, Weikang Xiao, Mengchen Zhang, Suhan Guo, Jian Zhao, Furao Shen:
Image Data Augmentation for Deep Learning: A Survey. CoRR abs/2204.08610 (2022) - [i16]Xiaoliang Liu, Furao Shen, Jian Zhao, Changhai Nie:
RandomMix: A mixed sample data augmentation method with multiple mixed modes. CoRR abs/2205.08728 (2022) - [i15]Yuanjie Yan, Suorong Yang, Yan Wang, Jian Zhao, Furao Shen:
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information. CoRR abs/2206.10155 (2022) - [i14]Xiaoliang Liu, Furao Shen, Jian Zhao, Changhai Nie:
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer. CoRR abs/2206.12590 (2022) - [i13]Xiaoliang Liu, Furao Shen, Jian Zhao, Changhai Nie:
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance. CoRR abs/2207.10290 (2022) - [i12]Suorong Yang, Jinqiao Li, Jian Zhao, Furao Shen:
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification. CoRR abs/2211.16040 (2022) - 2021
- [j27]Hui Dou, Baile Xu, Furao Shen, Jian Zhao:
V-SOINN: A topology preserving visualization method for multidimensional data. Neurocomputing 449: 280-289 (2021) - [j26]Youlu Xing, Hui Sun, Guihuan Feng, Furao Shen, Jian Zhao:
Artificial Evolution Network: A Computational Perspective on the Expansibility of the Nervous System. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2180-2194 (2021) - [c60]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [i11]Junyi An, Fengshan Liu, Jian Zhao, Furao Shen:
IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks. CoRR abs/2102.03495 (2021) - [i10]Shaokui Jiang, Baile Xu, Jian Zhao, Furao Shen:
Faster and Simpler Siamese Network for Single Object Tracking. CoRR abs/2105.03049 (2021) - [i9]Hua Yan, Weikang Xiao, Feng Han, Jian Zhao, Furao Shen:
SASICM A Multi-Task Benchmark For Subtext Recognition. CoRR abs/2106.06944 (2021) - [i8]Bilan Lai, Haoran Xiang, Furao Shen:
Inf-CP: A Reliable Channel Pruning based on Channel Influence. CoRR abs/2112.02521 (2021) - 2020
- [j25]Yi Yang, Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao:
Operation-aware Neural Networks for user response prediction. Neural Networks 121: 161-168 (2020) - [j24]Yuanjie Yan, Hongyan Hao, Baile Xu, Jian Zhao, Furao Shen:
Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss. IEEE Trans. Image Process. 29: 5652-5661 (2020) - [j23]Jian Zhao, Furao Shen, Jingon Joung:
Throughput Maximization With Rate-Dependent Power Consumption in Battery-Limited Multiuser Networks. IEEE Trans. Veh. Technol. 69(1): 1141-1146 (2020) - [c59]Yang Yao, Xu Zhang, Yu Liang, Xin Zhang, Furao Shen, Jian Zhao:
A Real-Time Pedestrian Counting System Based on RGB-D. ICACI 2020: 110-117 - [i7]Hongyan Hao, Yan Wang, Yudi Xia, Jian Zhao, Furao Shen:
Temporal Convolutional Attention-based Network For Sequence Modeling. CoRR abs/2002.12530 (2020) - [i6]Junyi An, Fengshan Liu, Jian Zhao, Furao Shen:
IC Neuron: An Efficient Unit to Construct Neural Networks. CoRR abs/2011.11271 (2020)
2010 – 2019
- 2019
- [j22]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) - [j21]Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao:
Locally linear SVMs based on boundary anchor points encoding. Neural Networks 117: 274-284 (2019) - [j20]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) - [c58]Suping Xu, Lin Shang, Furao Shen:
Latent Semantics Encoding for Label Distribution Learning. IJCAI 2019: 3982-3988 - [c57]Xu Zhang, Yong Xu, Qingwei Lin, Bo Qiao, Hongyu Zhang, Yingnong Dang, Chunyu Xie, Xinsheng Yang, Qian Cheng, Ze Li, Junjie Chen, Xiaoting He, Randolph Yao, Jian-Guang Lou, Murali Chintalapati, Furao Shen, Dongmei Zhang:
Robust log-based anomaly detection on unstable log data. ESEC/SIGSOFT FSE 2019: 807-817 - [c56]Xu Zhang, Qingwei Lin, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang:
Cross-dataset Time Series Anomaly Detection for Cloud Systems. USENIX ATC 2019: 1063-1076 - [i5]Yi Yang, Baile Xu, Furao Shen, Jian Zhao:
Operation-aware Neural Networks for User Response Prediction. CoRR abs/1904.12579 (2019) - [i4]Xu Zhang, Yang Yao, Baile Xu, Lekun Mao, Furao Shen, Jian Zhao, Qingwei Lin:
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning. CoRR abs/1905.07835 (2019) - [i3]Yang Yao, Xu Zhang, Baile Xu, Furao Shen, Jian Zhao:
Super Interaction Neural Network. CoRR abs/1905.12349 (2019) - [i2]Yahui Liu, Furao Shen, Jian Zhao:
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation. CoRR abs/1911.07429 (2019) - [i1]Junyi An, Fengshan Liu, Furao Shen, Jian Zhao:
Inter-layer Collision Networks. CoRR abs/1911.08252 (2019) - 2018
- [c55]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
- [j19]Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao:
An online incremental orthogonal component analysis method for dimensionality reduction. Neural Networks 85: 33-50 (2017) - [c54]Lebin Liu, Chaomin Luo, Furao Shen:
Multi-Agent formation control with target tracking and navigation. ICIA 2017: 98-103 - [c53]Tianyue Zhang, Baile Xu, Furao Shen:
Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering. ICONIP (1) 2017: 24-32 - [c52]Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang:
Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning. ICONIP (1) 2017: 43-52 - [c51]Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang:
A Self-adaptive Growing Method for Training Compact RBF Networks. ICONIP (1) 2017: 74-81 - [c50]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 - [c49]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 - [c48]Chaomin Luo, Furao Shen, Hongwei Mo, Zhenzhong Chu:
An Improved Ant-Driven Approach to Navigation and Map Building. ICSI (1) 2017: 301-309 - 2016
- [j18]Tao Zhu, Ye Xu, Furao Shen, Jinxi Zhao:
Orthogonal component analysis: A fast dimensionality reduction algorithm. Neurocomputing 177: 136-146 (2016) - [j17]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) - [j16]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) - [c47]Chaomin Luo, Gene Eu Jan, Jing Zhang, Furao Shen:
Boundary aware navigation and mapping for a mobile automaton. ICIA 2016: 561-566 - [c46]Zhihui Lv, Furao Shen, Jinxi Zhao, Tao Zhu:
A Swarm Intelligence Algorithm Inspired by Twitter. ICONIP (3) 2016: 344-351 - [c45]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 - [c44]Yi Yang, Qilin Deng, Furao Shen, Jinxi Zhao, Chaomin Luo:
A Shapelet Learning Method for Time Series Classification. ICTAI 2016: 423-430 - [c43]Yu Liang, Furao Shen, Jinxi Zhao, Yi Yang:
A Fast Manifold Learning Algorithm for Dimensionality Reduction. ICTAI 2016: 985-988 - [c42]Baile Xu, Furao Shen, Jinxi Zhao:
Density Based Self Organizing Incremental Neural Network for data stream clustering. IJCNN 2016: 2654-2661 - [c41]Xiaofeng Shi, Furao Shen, Jinxi Zhao:
Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces. IJCNN 2016: 3038-3045 - [c40]Chaomin Luo, Hongwei Mo, Furao Shen, Wenbing Zhao:
Multi-goal Motion Planning of an Autonomous Robot in Unknown Environments by an Ant Colony Optimization Approach. ICSI (2) 2016: 519-527 - 2015
- [j15]Furao Shen, Jing Chao, Jinxi Zhao:
Forecasting exchange rate using deep belief networks and conjugate gradient method. Neurocomputing 167: 243-253 (2015) - [c39]Jian Li, Furao Shen:
Automatic segmentation of Chinese Mandarin speech into syllable-like. IALP 2015: 57-60 - [c38]Chaomin Luo, Furao Shen, Simon X. Yang, Hongwei Mo:
Annealing-based guidance of a rescue robot for rescue mission with multi-goal navigation. ICIA 2015: 861-866 - [c37]Shaofeng Shen, Qiang Gan, Furao Shen, Chaomin Luo, Jinxi Zhao:
An Incremental Network with Local Experts Ensemble. ICONIP (3) 2015: 515-522 - [c36]Youlu Xing, Furao Shen, Jinxi Zhao:
Perception Evolution Network Adapting to the Emergence of New Sensory Receptor. IJCAI 2015: 3967-3973 - [c35]Qiang Gan, Furao Shen, Jinxi Zhao:
Improved Manifold Learning with competitive Hebbian rule. IJCNN 2015: 1-6 - [c34]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 - [c33]Youlu Xing, Furao Shen, Chaomin Luo, Jinxi Zhao:
L3-SVM: a lifelong learning method for SVM. IJCNN 2015: 1-8 - [c32]Haoran Xu, Youlu Xing, Furao Shen, Jinxi Zhao:
An online incremental learning algorithm for time series. IJCNN 2015: 1-5 - [c31]Tianyu Qiu, Furao Shen, Jinxi Zhao:
Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation. PAKDD (1) 2015: 418-428 - [c30]Youlu Xing, Tongyi Cao, Ke Zhou, Furao Shen, Jinxi Zhao:
An Incremental Local Distribution Network for Unsupervised Learning. PAKDD (1) 2015: 646-658 - 2014
- [c29]Qiang Gan, Furao Shen, Jinxi Zhao:
An Extended Isomap for Manifold Topology Learning with SOINN Landmarks. ICPR 2014: 1579-1584 - [c28]Ren Zhang, Furao Shen, Jinxi Zhao:
A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting. IJCNN 2014: 366-373 - [c27]Jie Lu, Furao Shen, Jinxi Zhao:
Using self-organizing incremental neural network (SOINN) For radial basis function networks. IJCNN 2014: 2142-2148 - [c26]Meng Hu, Furao Shen, Jinxi Zhao:
Hidden Markov models based dynamic hand gesture recognition with incremental learning method. IJCNN 2014: 3108-3115 - [c25]Steven E. Muldoon, Chaomin Luo, Furao Shen, Hongwei Mo:
Naturally inspired optimization algorithms as applied to mobile robotic path planning. SIS 2014: 78-83 - 2013
- [j14]Furao Shen, Qiubao Ouyang, Wataru Kasai, Osamu Hasegawa:
A general associative memory based on self-organizing incremental neural network. Neurocomputing 104: 57-71 (2013) - [j13]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) - [c24]Rong Gu, Furao Shen, Yihua Huang:
A parallel computing platform for training large scale neural networks. IEEE BigData 2013: 376-384 - [c23]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 - [c22]Zelin Tang, Furao Shen, Jinxi Zhao:
Speaker recognition based on SOINN and incremental learning Gaussian mixture model. IJCNN 2013: 1-6 - [c21]Youlu Xing, Furao Shen, Jinxi Zhao:
A perception evolution network for unsupervised fast incremental learning. IJCNN 2013: 1-8 - [c20]Guoqiang Xu, Furao Shen, Jinxi Zhao:
The effect of methods addressing the class imbalance problem on P300 detection. IJCNN 2013: 1-5 - [c19]Tao Zhu, Furao Shen, Jinxi Zhao:
An incremental learning face recognition system for single sample per person. IJCNN 2013: 1-6 - 2012
- [j12]Ye Xu, Furao Shen, Jinxi Zhao:
An incremental learning vector quantization algorithm for pattern classification. Neural Comput. Appl. 21(6): 1205-1215 (2012) - [c18]Qiubao Ouyang, Furao Shen, Jinxi Zhao:
A Local Distribution Net for Data Clustering. PRICAI 2012: 411-422 - 2011
- [j11]Furao Shen, Hui Yu, Keisuke Sakurai, Osamu Hasegawa:
An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network. Neural Comput. Appl. 20(7): 1061-1074 (2011) - [c17]Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao:
TAKES: a fast method to select features in the kernel space. CIKM 2011: 683-692 - [c16]Jing Chao, Furao Shen, Jinxi Zhao:
Forecasting exchange rate with deep belief networks. IJCNN 2011: 1259-1266 - 2010
- [j10]Furao Shen, Hui Yu, Youki Kamiya, Osamu Hasegawa:
An Online Incremental Semi-Supervised Learning Method. J. Adv. Comput. Intell. Intell. Informatics 14(6): 593-605 (2010) - [j9]Furao Shen, Akihito Sudo, Osamu Hasegawa:
An online incremental learning pattern-based reasoning system. Neural Networks 23(1): 135-143 (2010) - [c15]Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Furao Shen:
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace. AAAI 2010: 551-556 - [c14]Jun Zheng, Hui Yu, Furao Shen, Jinxi Zhao:
An Online Incremental Learning Support Vector Machine for Large-scale Data. ICANN (2) 2010: 76-81 - [c13]Kazuhiro Yamasaki, Naoya Makibuchi, Furao Shen, Osamu Hasegawa:
How to Use the SOINN Software: User's Guide (Version 1.0). ICANN (3) 2010: 521-527 - [c12]Furao Shen, Osamu Hasegawa:
Self-Organizing Incremental Neural Network and Its Application. ICANN (3) 2010: 535-540 - [c11]Naoya Makibuchi, Furao Shen, Osamu Hasegawa:
Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots. ICANN (3) 2010: 551-556 - [c10]Hui Yu, Furao Shen, Osamu Hasegawa:
A Multidirectional Associative Memory Based on Self-organizing Incremental Neural Network. ICONIP (2) 2010: 344-351 - [c9]Furao Shen, Hui Yu, Wataru Kasai, Osamu Hasegawa:
An associative memory system for incremental learning and temporal sequence. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c8]Ye Xu, Furao Shen, Jinxi Zhao, Osamu Hasegawa:
To obtain orthogonal feature extraction using training data selection. CIKM 2009: 1819-1822 - [c7]Ye Xu, Furao Shen, Osamu Hasegawa, Jinxi Zhao:
An Online Incremental Learning Vector Quantization. PAKDD 2009: 1046-1053 - 2008
- [j8]Furao Shen, Osamu Hasegawa:
A fast nearest neighbor classifier based on self-organizing incremental neural network. Neural Networks 21(10): 1537-1547 (2008) - 2007
- [j7]Youki Kamiya, Shen Furao, Osamu Hasegawa:
An Incremental Neural Network for Online Supervised Learning and Topology Learning. J. Adv. Comput. Intell. Intell. Informatics 11(1): 87-95 (2007) - [j6]Shen Furao, Tomotaka Ogura, Osamu Hasegawa:
An enhanced self-organizing incremental neural network for online unsupervised learning. Neural Networks 20(8): 893-903 (2007) - [c6]Youki Kamiya, Toshiaki Ishii, Shen Furao, Osamu Hasegawa:
An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network. IJCNN 2007: 1061-1066 - [c5]Shen Furao, Keisuke Sakurai, Youki Kamiya, Osamu Hasegawa:
An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network. IJCNN 2007: 1139-1144 - [c4]Shen Furao, Osamu Hasegawa:
A Nearest-Neighbour Method with Self-organizing Incremental Neural Network. IJCNN 2007: 1145-1150 - 2006
- [j5]Shen Furao, Osamu Hasegawa:
An incremental network for on-line unsupervised classification and topology learning. Neural Networks 19(1): 90-106 (2006) - [j4]Furao Shen, Osamu Hasegawa:
An adaptive incremental LBG for vector quantization. Neural Networks 19(5): 694-704 (2006) - 2005
- [j3]Shen Furao, Osamu Hasegawa:
Fractal Image Coding with Simulated Annealing Search. J. Adv. Comput. Intell. Intell. Informatics 9(1): 80-88 (2005) - [c3]Shen Furao, Osamu Hasegawa:
An On-Line Learning Mechanism for Unsupervised Classification and Topology Representation. CVPR (1) 2005: 651-656 - 2004
- [j2]Furao Shen, Osamu Hasegawa:
A Growing Neural Network for Online Unsupervised Learning. J. Adv. Comput. Intell. Intell. Informatics 8(2): 121-129 (2004) - [j1]Furao Shen, Osamu Hasegawa:
A fast no search fractal image coding method. Signal Process. Image Commun. 19(5): 393-404 (2004) - [c2]Furao Shen, Osamu Hasegawa:
An effective fractal image coding method without search. ICIP 2004: 3197-3200 - [c1]Furao Shen, Osamu Hasegawa:
An Incremental Neural Network for Non-stationary Unsupervised Learning. ICONIP 2004: 641-646
Coauthor Index
[j49] [j47] [j46] [j45] [j44] [c65] [i29] [i28] [i27] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [c63] [i26] [i25] [i24] [i22] [i21] [i20] [i19] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [c62] [c61] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [j27] [j26] [i11] [i10] [i9] [j25] [j24] [j23] [c59] [i7] [i6] [j21] [i5] [i4] [i3] [i2] [i1]
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