| 2025 | IJCNN | AIS Data-Driven Maritime Monitoring Based on Transformer: A Comprehensive Review. | Zhiye Xie, Enmei Tu, Xianping Fu, Guoliang Yuan, Yi Han |
| 2022 | ICONIP | Boosting Graph Convolutional Networks with Semi-supervised Training. | Shuai Tang, Enmei Tu, Jie Yang |
| 2021 | ICASSP | Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. | Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang |
| 2021 | IJCNN | Deep Semi-Supervised Learning via Dynamic Anchor Graph Embedding Learning. | Zihao Wang, Enmei Tu, Zhicheng Lee |
| 2021 | IJCNN | Reinforcement Learning-Based Insulin Injection Time And Dosages Optimization. | Zihao Wang, Zhiqiang Xie, Enmei Tu, Alex Zhong, Yingying Liu, Jichang Ding, Jie Yang |
| 2020 | ICPR | 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, Chen Gong |
| 2019 | ICONIP | Semi-supervised Deep Learning Using Improved Unsupervised Discriminant Projection. | Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang |
| 2018 | ICONIP | Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization. | Xingyu Chen, Fanghui Liu, Enmei Tu, Longbing Cao, Jie Yang |
| 2018 | ICONIP | A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. | Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov |
| 2018 | ICONIP | Discrete Sparse Hashing for Cross-Modal Similarity Search. | Lu Wang, Chao Ma, Enmei Tu, Jie Yang, Nikola K. Kasabov |
| 2017 | ICIP | Stable and improved generative adversarial nets (GANS): A constructive survey. | Guanghao Zhang, Enmei Tu, Dongshun Cui |
| 2017 | IJCNN | 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 |
| 2014 | ICONIP | Posterior Distribution Learning (PDL): A Novel Supervised Learning Framework. | Enmei Tu, Jie Yang, Zhenghong Jia, Nikola K. Kasabov |
| 2014 | IJCNN | 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 |
| 2014 | IJCNN | 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 |
| 2014 | IJCNN | NeuCube | Enmei Tu, Nikola K. Kasabov, Muhaini Othman, Yuxiao Li, Susan P. Worner, Jie Yang, Zhenghong Jia |