Axial Data Modeling with Collapsed Nonparametric Watson Mixture Models and Its Application to Depth Image Analysis. - Lin Yang 037; Yuhang Liu; Wentao Fan 001 (PRCV (2), 2020)

Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis. - Wentao Fan 001; Lin Yang 037; Nizar Bouguila; Yewang Chen (Knowl. Based Syst., 2020)

Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations. - Lin Yang 037; Wentao Fan 001; Nizar Bouguila (Knowl. Based Syst., 2022)

Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions. - Wentao Fan 001; Lin Yang 037; Nizar Bouguila (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Clustering Analysis via Deep Generative Models With Mixture Models. - Lin Yang 037; Wentao Fan 001; Nizar Bouguila (IEEE Trans. Neural Networks Learn. Syst., 2022)

Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings. - Lin Yang 037; Wentao Fan 001; Nizar Bouguila (IEEE Trans. Neural Networks Learn. Syst., 2023)

Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis. - Wentao Fan 001; Lin Yang 037; Nizar Bouguila (IEEE Trans. Neural Networks Learn. Syst., 2024)