Robust object tracking using linear neighborhood propagation. - Chen Gong 002; Keren Fu; Enmei Tu; Jie Yang 002; Xiangjian He (J. Electronic Imaging, 2013)

Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. - Enmei Tu; Jie Yang 002; Zhenghong Jia; Nikola K. Kasabov (ICONIP (1), 2014)

Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data. - Muhaini Othman; Nikola K. Kasabov; Enmei Tu; Valery Feigin; Rita Krishnamurthi; Zheng-Guang Hou; Yixiong Chen; Jin Hu (IJCNN, 2014)

Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. - Denise Taylor; Nathan Matthew Scott; Nikola K. Kasabov; Elisa Capecci; Enmei Tu; Nicola Saywell; Yixiong Chen; Jin Hu; Zeng-Guang Hou (IJCNN, 2014)

NeuCube(ST) for spatio-temporal data predictive modelling with a case study on ecological data. - Enmei Tu; Nikola K. Kasabov; Muhaini Othman; Yuxiao Li; Susan P. Worner; Jie Yang 002; Zhenghong Jia (IJCNN, 2014)

Semi-supervised classification with pairwise constraints. - Chen Gong 002; Keren Fu; Qiang Wu 001; Enmei Tu; Jie Yang 002 (Neurocomputing, 2014)

A novel graph-based k-means for nonlinear manifold clustering and representative selection. - Enmei Tu; Longbing Cao; Jie Yang 002; Nikola K. Kasabov (Neurocomputing, 2014)

Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance. - Enmei Tu; Jie Yang 002; Nikola K. Kasabov; Yaqian Zhang (Neurocomputing, 2015)

Deformed Graph Laplacian for Semisupervised Learning. - Chen Gong 002; Tongliang Liu; Dacheng Tao; Keren Fu; Enmei Tu; Jie Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2015)

An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining. - Shangbo Mao; Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Guang-Bin Huang (CoRR, 2016)

Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data. - Enmei Tu; Nikola K. Kasabov; Jie Yang 002 (CoRR, 2016)

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey. - Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Guang-Bin Huang (CoRR, 2016)

A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks. - Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Guang-Bin Huang (CoRR, 2016)

A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification. - Enmei Tu; Yaqian Zhang; Lin Zhu; Jie Yang 002; Nikola K. Kasabov (Inf. Sci., 2016)

Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. - 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 003; et al. (Neural Networks, 2016)

Stable and improved generative adversarial nets (GANS): A constructive survey. - Guanghao Zhang; Enmei Tu; Dongshun Cui (ICIP, 2017)

A theoretical study of the relationship between an ELM network and its subnetworks. - Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Shangbo Mao; Guang-Bin Huang (IJCNN, 2017)

Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data. - Enmei Tu; Nikola K. Kasabov; Jie Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. - Xingyu Chen; Fanghui Liu 001; Enmei Tu; Longbing Cao; Jie Yang 002 (ICONIP (1), 2018)

A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. - Mingjian Chen; Hao Zheng 008; Changsheng Lu; Enmei Tu; Jie Yang 002; Nikola K. Kasabov (ICONIP (7), 2018)

Discrete Sparse Hashing for Cross-Modal Similarity Search. - Lu Wang 048; Chao Ma 005; Enmei Tu; Jie Yang 002; Nikola K. Kasabov (ICONIP (4), 2018)

Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology. - Enmei Tu; Guanghao Zhang; Lily Rachmawati; Eshan Rajabally; Guang-Bin Huang (IEEE Trans. Intell. Transp. Syst., 2018)

Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection. - Xiao Han; Zihao Wang; Enmei Tu; Gunnam Suryanarayana; Jie Yang 002 (ICONIP (3), 2019)

A Review of Semi Supervised Learning Theories and Recent Advances. - Enmei Tu; Jie Yang 002 (CoRR, 2019)

Personalised modelling with spiking neural networks integrating temporal and static information. - Maryam Doborjeh; Nikola K. Kasabov; Zohreh Gholami Doborjeh; Reza Enayatollahi; Enmei Tu; Amir H. Gandomi (Neural Networks, 2019)

Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. - Jiehui Deng; Sheng Wan; Xiang Wang; Enmei Tu; Xiaolin Huang; Jie Yang 002; Chen Gong 002 (ICPR, 2020)

Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. - Enmei Tu; Guanghao Zhang; Shangbo Mao; Lily Rachmawati; Guang-Bin Huang (CoRR, 2020)

End-To-End Graph-based Deep Semi-Supervised Learning. - Zihao Wang; Enmei Tu; Zhou Meng (CoRR, 2020)

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. - Tianyi Zhang; Yun Gu; Xiaolin Huang; Enmei Tu; Jie Yang 002 (CoRR, 2020)

Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. - Zhiqiang Xie; Enmei Tu; Hao Zheng 008; Yun Gu; Jie Yang 002 (ICASSP, 2021)

Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning. - Zihao Wang; Enmei Tu; Zhicheng Lee (IJCNN, 2021)

Reinforcement Learning-Based Insulin Injection Time And Dosages Optimization. - Zihao Wang; Zhiqiang Xie; Enmei Tu; Alex Zhong; Yingying Liu; Jichang Ding; Jie Yang 002 (IJCNN, 2021)

Anomaly3D: Video anomaly detection based on 3D-normality clusters. - Mujtaba Asad; Jie Yang 002; Enmei Tu; Liming Chen 001; Xiangjian He (J. Vis. Commun. Image Represent., 2021)

Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification. - Yiming Sun; Zhiqiang Xie; Kun Fang 004; Enmei Tu; Jie Yang 002 (DMBD (1), 2022)

Multimodal 12-lead ECG data classification using multi-label DenseNet for heart disease detection. - Xiao Han; Enmei Tu; Jie Yang 002 (DSIT, 2022)

Boosting Graph Convolutional Networks with Semi-supervised Training. - Shuai Tang; Enmei Tu; Jie Yang (ICONIP (1), 2022)

Multi-Stream 3D latent feature clustering for abnormality detection in videos. - Mujtaba Asad; He Jiang; Jie Yang 002; Enmei Tu; Aftab Ahmad Malik (Appl. Intell., 2022)

Multi-Level Two-Stream Fusion-Based Spatio-Temporal Attention Model for Violence Detection and Localization. - Mujtaba Asad; He Jiang; Jie Yang 002; Enmei Tu; Aftab Ahmad Malik (Int. J. Pattern Recognit. Artif. Intell., 2022)

Deep semi-supervised learning via dynamic anchor graph embedding in latent space. - Enmei Tu; Zihao Wang; Jie Yang 002; Nikola K. Kasabov (Neural Networks, 2022)

An improved denoising of G-banding chromosome images using cascaded CNN and binary classification network. - Emrecan Altinsoy; Jie Yang 002; Enmei Tu (Vis. Comput., 2022)

Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network. - Mingjian Chen; Hao Zheng 008; Changsheng Lu; Enmei Tu; Jie Yang 002; Nikola K. Kasabov (J. Ambient Intell. Humaniz. Comput., 2023)

Transfer Learning of Fuzzy Spatio-Temporal Rules in a Brain-Inspired Spiking Neural Network Architecture: A Case Study on Spatio-Temporal Brain Data. - Nikola K. Kasabov; Yongyao Tan; Maryam Doborjeh; Enmei Tu; Jie Yang 002; Wilson Wen Bin Goh; Jimmy Lee (IEEE Trans. Fuzzy Syst., 2023)

AIS Data-Driven Maritime Monitoring Based on Transformer: A Comprehensive Review. - Zhiye Xie; Enmei Tu; Xianping Fu; GuoLiang Yuan 001; Yi Han (CoRR, 2025)