| 2021 | NAACL | Rethinking Network Pruning - under the Pre-train and Fine-tune Paradigm. | Dongkuan Xu, Ian En-Hsu Yen, Jinxi Zhao, Zhibin Xiao |
| 2018 | AAAI | Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding. | Youlu Xing, Furao Shen, Jinxi Zhao, Jingxin Pan, Ah-Hwee Tan |
| 2017 | ICONIP | An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction. | Yu Liang, Yi Yang, Furao Shen, Jinxi Zhao, Tao Zhu |
| 2017 | ICONIP | A Self-adaptive Growing Method for Training Compact RBF Networks. | Baile Xu, Furao Shen, Jinxi Zhao, Tianyue Zhang |
| 2017 | ICONIP | Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition. | Xu Zhang, Furao Shen, Jinxi Zhao, GuoHai Yang |
| 2017 | ICONIP | Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning. | Tao Zhu, Furao Shen, Jinxi Zhao, Yu Liang |
| 2016 | ICONIP | An Incremental One Class Learning Framework for Large Scale Data. | Qilin Deng, Yi Yang, Furao Shen, Chaomin Luo, Jinxi Zhao |
| 2016 | ICONIP | A Swarm Intelligence Algorithm Inspired by Twitter. | Zhihui Lv, Furao Shen, Jinxi Zhao, Tao Zhu |
| 2016 | IJCNN | Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces. | Xiaofeng Shi, Furao Shen, Jinxi Zhao |
| 2016 | IJCNN | Density Based Self Organizing Incremental Neural Network for data stream clustering. | Baile Xu, Furao Shen, Jinxi Zhao |
| 2016 | ICTAI | A Fast Manifold Learning Algorithm for Dimensionality Reduction. | Yu Liang, Furao Shen, Jinxi Zhao, Yi Yang |
| 2016 | ICTAI | A Shapelet Learning Method for Time Series Classification. | Yi Yang, Qilin Deng, Furao Shen, Jinxi Zhao, Chaomin Luo |
| 2015 | ICONIP | An Incremental Network with Local Experts Ensemble. | Shaofeng Shen, Qiang Gan, Furao Shen, Chaomin Luo, Jinxi Zhao |
| 2015 | IJCAI | Perception Evolution Network Adapting to the Emergence of New Sensory Receptor. | Youlu Xing, Furao Shen, Jinxi Zhao |
| 2015 | IJCNN | Improved Manifold Learning with competitive Hebbian rule. | Qiang Gan, Furao Shen, Jinxi Zhao |
| 2015 | IJCNN | Solving the data imbalance problem of P300 detection via Random Under-Sampling Bagging SVMs. | Xiaofeng Shi, Guoqiang Xu, Furao Shen, Jinxi Zhao |
| 2015 | IJCNN | L | Youlu Xing, Furao Shen, Chaomin Luo, Jinxi Zhao |
| 2015 | IJCNN | An online incremental learning algorithm for time series. | Haoran Xu, Youlu Xing, Furao Shen, Jinxi Zhao |
| 2015 | PAKDD | Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation. | Tianyu Qiu, Furao Shen, Jinxi Zhao |
| 2015 | PAKDD | An Incremental Local Distribution Network for Unsupervised Learning. | Youlu Xing, Tongyi Cao, Ke Zhou, Furao Shen, Jinxi Zhao |
| 2014 | ICPR | An Extended Isomap for Manifold Topology Learning with SOINN Landmarks. | Qiang Gan, Furao Shen, Jinxi Zhao |
| 2014 | IJCNN | Hidden Markov models based dynamic hand gesture recognition with incremental learning method. | Meng Hu, Furao Shen, Jinxi Zhao |
| 2014 | IJCNN | Using self-organizing incremental neural network (SOINN) For radial basis function networks. | Jie Lu, Furao Shen, Jinxi Zhao |
| 2014 | IJCNN | A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting. | Ren Zhang, Furao Shen, Jinxi Zhao |
| 2013 | IJCNN | A computational model of selecting visual attention based on bottom-up and top-down feature combination. | Wenyong Chen, Furao Shen, Jinxi Zhao |
| 2013 | IJCNN | Speaker recognition based on SOINN and incremental learning Gaussian mixture model. | Zelin Tang, Furao Shen, Jinxi Zhao |
| 2013 | IJCNN | A perception evolution network for unsupervised fast incremental learning. | Youlu Xing, Furao Shen, Jinxi Zhao |
| 2013 | IJCNN | The effect of methods addressing the class imbalance problem on P300 detection. | Guoqiang Xu, Furao Shen, Jinxi Zhao |
| 2013 | IJCNN | An incremental learning face recognition system for single sample per person. | Tao Zhu, Furao Shen, Jinxi Zhao |
| 2012 | PRICAI | A Local Distribution Net for Data Clustering. | Qiubao Ouyang, Furao Shen, Jinxi Zhao |
| 2011 | CIKM | TAKES: a fast method to select features in the kernel space. | Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao |
| 2011 | IJCNN | Forecasting exchange rate with deep belief networks. | Jing Chao, Furao Shen, Jinxi Zhao |
| 2010 | ICANN | An Online Incremental Learning Support Vector Machine for Large-scale Data. | Jun Zheng, Hui Yu, Furao Shen, Jinxi Zhao |
| 2009 | CIKM | To obtain orthogonal feature extraction using training data selection. | Ye Xu, Furao Shen, Jinxi Zhao, Osamu Hasegawa |
| 2009 | PAKDD | An Online Incremental Learning Vector Quantization. | Ye Xu, Furao Shen, Osamu Hasegawa, Jinxi Zhao |