Enmei Tu

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 35

Top Topics

Convolutional Network

Nonlinear Manifold

Lesion Segmentation

Supervised Learning

Top Venues

Publications

Nikola K. Kasabov, Yongyao Tan, Maryam Gholami Doborjeh, Enmei Tu, Jie Yang, Wilson Wen Bin Goh, Jimmy Lee
Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data. IEEE Trans. Fuzzy Syst. 31 (12) (2023)
Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Mujtaba Asad, He Jiang, Jie Yang, Enmei Tu, Aftab Ahmad Malik
Multi-Level Two-Stream Fusion-Based Spatio-Temporal Attention Model for Violence Detection and Localization. Int. J. Pattern Recognit. Artif. Intell. 36 (1) (2022)
Yiming Sun, Zhiqiang Xie, Kun Fang, Enmei Tu, Jie Yang
Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification. DMBD (1) (2022)
Emrecan Altinsoy, Jie Yang, Enmei Tu
An improved denoising of G-banding chromosome images using cascaded CNN and binary classification network. Vis. Comput. 38 (6) (2022)
Shuai Tang, Enmei Tu, Jie Yang
Boosting Graph Convolutional Networks with Semi-supervised Training. ICONIP (1) (2022)
Enmei Tu, Zihao Wang, Jie Yang, Nikola K. Kasabov
Deep semi-supervised learning via dynamic anchor graph embedding in latent space. Neural Networks 146 (2022)
Mujtaba Asad, He Jiang, Jie Yang, Enmei Tu, Aftab Ahmad Malik
Multi-Stream 3D latent feature clustering for abnormality detection in videos. Appl. Intell. 52 (1) (2022)
Xiao Han, Enmei Tu, Jie Yang
Multimodal 12-lead ECG data classification using multi-label DenseNet for heart disease detection. DSIT (2022)
Zihao Wang, Zhiqiang Xie, Enmei Tu, Alex Zhong, Yingying Liu, Jichang Ding, Jie Yang
Reinforcement Learning-Based Insulin Injection Time And Dosages Optimization. IJCNN (2021)
Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang
Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. ICASSP (2021)
Mujtaba Asad, Jie Yang, Enmei Tu, Liming Chen, Xiangjian He
Anomaly3D: Video anomaly detection based on 3D-normality clusters. J. Vis. Commun. Image Represent. 75 (2021)
Zihao Wang, Enmei Tu, Zhicheng Lee
Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning. IJCNN (2021)
Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. CoRR (2020)
Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. CoRR (2020)
Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong
Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. ICPR (2020)
Zihao Wang, Enmei Tu, Zhou Meng
End-To-End Graph-based Deep Semi-Supervised Learning. CoRR (2020)
Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang
Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection. ICONIP (3) (2019)
Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection. CoRR (2019)
Enmei Tu, Jie Yang
A Review of Semi Supervised Learning Theories and Recent Advances. CoRR (2019)
Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi
Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks 119 (2019)
Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, Jie Yang
Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. ICONIP (1) (2018)
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology. IEEE Trans. Intell. Transp. Syst. 19 (5) (2018)
Lu Wang, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov
Discrete Sparse Hashing for Cross-Modal Similarity Search. ICONIP (4) (2018)
Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. ICONIP (7) (2018)
Enmei Tu, Nikola K. Kasabov, Jie Yang
Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data. IEEE Trans. Neural Networks Learn. Syst. 28 (6) (2017)
Guanghao Zhang, Enmei Tu, Dongshun Cui
Stable and improved generative adversarial nets (GANS): A constructive survey. ICIP (2017)
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang
A theoretical study of the relationship between an ELM network and its subnetworks. IJCNN (2017)
Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov
A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification. CoRR (2016)
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks. CoRR (2016)
Nikola K. Kasabov, Nathan Matthew Scott, Enmei Tu, Stefan Marks, Neelava Sengupta, Elisa Capecci, Muhaini Othman, Maryam Gholami Doborjeh, Norhanifah Murli, Reggio N. Hartono, Josafath Israel Espinosa Ramos, Lei Zhou, Fahad Bashir Alvi, Grace Y. Wang, Denise Taylor, Valery Feigin, Sergei Gulyaev, Mahmoud S. Mahmoud, Zeng-Guang Hou, Jie Yang
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks 78 (2016)
Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey. CoRR (2016)
Enmei Tu, Nikola K. Kasabov, Jie Yang
Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data. CoRR (2016)
Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining. CoRR (2016)
Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov
A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification. Inf. Sci. (2016)
Enmei Tu, Jie Yang, Nikola K. Kasabov, Yaqian Zhang
Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance. Neurocomputing 157 (2015)
Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Enmei Tu, Jie Yang
Deformed Graph Laplacian for Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 26 (10) (2015)
Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang
Semi-supervised classification with pairwise constraints. Neurocomputing 139 (2014)
Denise Taylor, Nathan Matthew Scott, Nikola K. Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou
Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. IJCNN (2014)
Muhaini Othman, Nikola K. Kasabov, Enmei Tu, Valery Feigin, Rita Krishnamurthi, Zheng-Guang Hou, Yixiong Chen, Jin Hu
Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data. IJCNN (2014)
Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia
for spatio-temporal data predictive modelling with a case study on ecological data. IJCNN (2014)
Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov
Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. ICONIP (1) (2014)
Enmei Tu, Longbing Cao, Jie Yang, Nikola K. Kasabov
A novel graph-based k-means for nonlinear manifold clustering and representative selection. Neurocomputing 143 (2014)
Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He
Robust object tracking using linear neighborhood propagation. J. Electronic Imaging 22 (1) (2013)