| Unsupervised grouped axial data modeling via hierarchical Bayesian nonparametric models with Watson distributions W Fan, L Yang, N Bouguila IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9654 …, 2021 | 74 | 2021 |
| Clustering analysis via deep generative models with mixture models L Yang, W Fan, N Bouguila IEEE Transactions on Neural Networks and Learning Systems 33 (1), 340-350, 2020 | 42 | 2020 |
| Deep clustering analysis via dual variational autoencoder with spherical latent embeddings L Yang, W Fan, N Bouguila IEEE Transactions on Neural Networks and Learning Systems 34 (9), 6303-6312, 2021 | 26 | 2021 |
| Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis W Fan, L Yang, N Bouguila, Y Chen Knowledge-Based Systems 206, 106341, 2020 | 19 | 2020 |
| Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations L Yang, W Fan, N Bouguila Knowledge-Based Systems 246, 108671, 2022 | 6 | 2022 |
| Grouped spherical data modeling through hierarchical nonparametric Bayesian models and its application to fMRI data analysis W Fan, L Yang, N Bouguila IEEE Transactions on Neural Networks and Learning Systems, 2022 | 2 | 2022 |
| Axial data modeling with collapsed nonparametric Watson mixture models and its application to depth image analysis L Yang, Y Liu, W Fan Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 17-28, 2020 | 1 | 2020 |
