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2020 – today
- 2023
[j17]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): 15609-15617 (2023)- [j16]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): 4542-4552 (2023) - 2022
- [j15]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): 1126-1143 (2022) - [j14]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): 2255002:1-2255002:25 (2022) - [j13]Enmei Tu, Zihao Wang, Jie Yang, Nikola K. Kasabov:
Deep semi-supervised learning via dynamic anchor graph embedding in latent space. Neural Networks 146: 350-360 (2022) - [j12]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): 2139-2152 (2022) - [c17]Yiming Sun, Zhiqiang Xie, Kun Fang, Enmei Tu, Jie Yang:
Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification. DMBD (1) 2022: 383-393 - [c16]Xiao Han, Enmei Tu, Jie Yang:
Multimodal 12-lead ECG data classification using multi-label DenseNet for heart disease detection. DSIT 2022: 1-6 - [c15]Shuai Tang, Enmei Tu, Jie Yang:
Boosting Graph Convolutional Networks with Semi-supervised Training. ICONIP (1) 2022: 537-548 - 2021
- [j11]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: 103047 (2021) - [c14]Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang:
Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. ICASSP 2021: 1135-1139 - [c13]Zihao Wang, Enmei Tu, Zhicheng Lee:
Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning. IJCNN 2021: 1-8 - [c12]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: 1-8 - 2020
- [c11]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: 9988-9995 - [i10]Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang:
Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. CoRR abs/2001.01592 (2020) - [i9]Zihao Wang, Enmei Tu, Zhou Meng:
End-To-End Graph-based Deep Semi-Supervised Learning. CoRR abs/2002.09891 (2020) - [i8]Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang:
Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. CoRR abs/2003.08539 (2020)
2010 – 2019
- 2019
- [j10]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: 162-177 (2019) - [c10]Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang:
Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection. ICONIP (3) 2019: 597-607 - [i7]Enmei Tu, Jie Yang:
A Review of Semi Supervised Learning Theories and Recent Advances. CoRR abs/1905.11590 (2019) - [i6]Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang:
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection. CoRR abs/1912.09147 (2019) - 2018
- [j9]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): 1559-1582 (2018) - [c9]Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, Jie Yang:
Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. ICONIP (1) 2018: 12-20 - [c8]Lu Wang, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov:
Discrete Sparse Hashing for Cross-Modal Similarity Search. ICONIP (4) 2018: 256-267 - [c7]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: 358-368 - 2017
- [j8]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): 1305-1317 (2017) - [c6]Guanghao Zhang, Enmei Tu, Dongshun Cui:
Stable and improved generative adversarial nets (GANS): A constructive survey. ICIP 2017: 1871-1875 - [c5]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: 1794-1801 - 2016
- [j7]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. 367-368: 673-688 (2016) - [j6]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: 1-14 (2016) - [i5]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 abs/1603.05594 (2016) - [i4]Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang:
Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey. CoRR abs/1606.00981 (2016) - [i3]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 abs/1606.00985 (2016) - [i2]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 abs/1607.03306 (2016) - [i1]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 abs/1610.09608 (2016) - 2015
- [j5]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: 173-186 (2015) - [j4]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): 2261-2274 (2015) - 2014
- [j3]Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang:
Semi-supervised classification with pairwise constraints. Neurocomputing 139: 130-137 (2014) - [j2]Enmei Tu, Longbing Cao, Jie Yang, Nikola K. Kasabov:
A novel graph-based k-means for nonlinear manifold clustering and representative selection. Neurocomputing 143: 109-122 (2014) - [c4]Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov:
Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. ICONIP (1) 2014: 86-94 - [c3]Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia:
NeuCube(ST) for spatio-temporal data predictive modelling with a case study on ecological data. IJCNN 2014: 638-645 - [c2]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: 3197-3204 - [c1]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: 3221-3225 - 2013
- [j1]Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He:
Robust object tracking using linear neighborhood propagation. J. Electronic Imaging 22(1): 013015 (2013)
Coauthor Index
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