Enmei Tu - RankMe

47 papers B 9Misc 1Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction. CoRR Linyong Gan, Zimo Li, Wenxin Xu, Xingjian Li, Jianhua Z. Huang, Enmei Tu, Shuhang Chen
2025	B	`conf`	AIS Data-Driven Maritime Monitoring Based on Transformer: A Comprehensive Review. IJCNN Zhiye Xie, Enmei Tu, Xianping Fu, GuoLiang Yuan, Yi Han
2025	J	`jnl`	AIS Data-Driven Maritime Monitoring Based on Transformer: A Comprehensive Review. CoRR Zhiye Xie, Enmei Tu, Xianping Fu, GuoLiang Yuan, Yi Han
2023	J	`jnl`	Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network. J. Ambient Intell. Humaniz. Comput. Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
2023	J	`jnl`	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. Nikola K. Kasabov, Yongyao Tan, Maryam Doborjeh, Enmei Tu, Jie Yang, Wilson Wen Bin Goh, Jimmy Lee
2022	J	`jnl`	An improved denoising of G-banding chromosome images using cascaded CNN and binary classification network. Vis. Comput. Emrecan Altinsoy, Jie Yang, Enmei Tu
2022	—	`conf`	Boosting Graph Convolutional Networks with Semi-supervised Training. ICONIP (1) Shuai Tang, Enmei Tu, Jie Yang
2022	J	`jnl`	Deep semi-supervised learning via dynamic anchor graph embedding in latent space. Neural Networks Enmei Tu, Zihao Wang, Jie Yang, Nikola K. Kasabov
2022	—	`conf`	Learnable Relation with Triplet Formulation for Semi-supervised Medical Image Classification. DMBD (1) Yiming Sun, Zhiqiang Xie, Kun Fang, Enmei Tu, Jie Yang
2022	J	`jnl`	Multi-Level Two-Stream Fusion-Based Spatio-Temporal Attention Model for Violence Detection and Localization. Int. J. Pattern Recognit. Artif. Intell. Mujtaba Asad, He Jiang, Jie Yang, Enmei Tu, Aftab Ahmad Malik
2022	J	`jnl`	Multi-Stream 3D latent feature clustering for abnormality detection in videos. Appl. Intell. Mujtaba Asad, He Jiang, Jie Yang, Enmei Tu, Aftab Ahmad Malik
2022	—	`conf`	Multimodal 12-lead ECG data classification using multi-label DenseNet for heart disease detection. DSIT Xiao Han, Enmei Tu, Jie Yang
2021	J	`jnl`	Anomaly3D: Video anomaly detection based on 3D-normality clusters. J. Vis. Commun. Image Represent. Mujtaba Asad, Jie Yang, Enmei Tu, Liming Chen, Xiangjian He
2021	B	`conf`	Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning. IJCNN Zihao Wang, Enmei Tu, Zhicheng Lee
2021	B	`conf`	Reinforcement Learning-Based Insulin Injection Time And Dosages Optimization. IJCNN Zihao Wang, Zhiqiang Xie, Enmei Tu, Alex Zhong, Yingying Liu, Jichang Ding, Jie Yang
2021	Misc	`conf`	Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. ICASSP Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang
2020	B	`conf`	Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. ICPR Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong
2020	J	`jnl`	End-To-End Graph-based Deep Semi-Supervised Learning. CoRR Zihao Wang, Enmei Tu, Zhou Meng
2020	J	`jnl`	Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment. CoRR Enmei Tu, Guanghao Zhang, Shangbo Mao, Lily Rachmawati, Guang-Bin Huang
2020	J	`jnl`	Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention. CoRR Tianyi Zhang, Yun Gu, Xiaolin Huang, Enmei Tu, Jie Yang
2019	J	`jnl`	A Review of Semi Supervised Learning Theories and Recent Advances. CoRR Enmei Tu, Jie Yang
2019	J	`jnl`	Personalised modelling with spiking neural networks integrating temporal and static information. Neural Networks Maryam Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi
2019	J	`jnl`	Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection. CoRR Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang
2019	—	`conf`	Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection. ICONIP (3) Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang
2018	—	`conf`	A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. ICONIP (7) Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov
2018	—	`conf`	Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. ICONIP (1) Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, Jie Yang
2018	—	`conf`	Discrete Sparse Hashing for Cross-Modal Similarity Search. ICONIP (4) Lu Wang, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov
2018	J	`jnl`	Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to Methodology. IEEE Trans. Intell. Transp. Syst. Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
2017	B	`conf`	A theoretical study of the relationship between an ELM network and its subnetworks. IJCNN Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Shangbo Mao, Guang-Bin Huang
2017	J	`jnl`	Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data. IEEE Trans. Neural Networks Learn. Syst. Enmei Tu, Nikola K. Kasabov, Jie Yang
2017	B	`conf`	Stable and improved generative adversarial nets (GANS): A constructive survey. ICIP Guanghao Zhang, Enmei Tu, Dongshun Cui
2016	J	`jnl`	A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification. CoRR Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov
2016	J	`jnl`	A Theoretical Study of The Relationship Between Whole An ELM Network and Its Subnetworks. CoRR Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
2016	J	`jnl`	A graph-based semi-supervised k nearest-neighbor method for nonlinear manifold distributed data classification. Inf. Sci. Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola K. Kasabov
2016	J	`jnl`	An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining. CoRR Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
2016	J	`jnl`	Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications. Neural Networks 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
2016	J	`jnl`	Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey. CoRR Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
2016	J	`jnl`	Mapping Temporal Variables into the NeuCube for Improved Pattern Recognition, Predictive Modelling and Understanding of Stream Data. CoRR Enmei Tu, Nikola K. Kasabov, Jie Yang
2015	J	`jnl`	Deformed Graph Laplacian for Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Enmei Tu, Jie Yang
2015	J	`jnl`	Posterior Distribution Learning (PDL): A novel supervised learning framework using unlabeled samples to improve classification performance. Neurocomputing Enmei Tu, Jie Yang, Nikola K. Kasabov, Yaqian Zhang
2014	J	`jnl`	A novel graph-based k-means for nonlinear manifold clustering and representative selection. Neurocomputing Enmei Tu, Longbing Cao, Jie Yang, Nikola K. Kasabov
2014	B	`conf`	Feasibility of NeuCube SNN architecture for detecting motor execution and motor intention for use in BCIapplications. IJCNN Denise Taylor, Nathan Matthew Scott, Nikola K. Kasabov, Elisa Capecci, Enmei Tu, Nicola Saywell, Yixiong Chen, Jin Hu, Zeng-Guang Hou
2014	B	`conf`	Improved predictive personalized modelling with the use of Spiking Neural Network system and a case study on stroke occurrences data. IJCNN Muhaini Othman, Nikola K. Kasabov, Enmei Tu, Valery Feigin, Rita Krishnamurthi, Zheng-Guang Hou, Yixiong Chen, Jin Hu
2014	B	`conf`	NeuCube IJCNN Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia
2014	—	`conf`	Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. ICONIP (1) Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov
2014	J	`jnl`	Semi-supervised classification with pairwise constraints. Neurocomputing Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang
2013	J	`jnl`	Robust object tracking using linear neighborhood propagation. J. Electronic Imaging Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He