Wentao Fan

发表

Recognition and Clustering of Dirichlet Mixtures

N. Bouguila, Wentao Fan, 2015 .

High-Dimensional Non-Gaussian Data Clustering using Variational Learning of Mixture Models

Wentao Fan, 2013 .

Mixture Density Hyperspherical Generative Adversarial Networks

Wentao Fan, Qinyang Li, 2022, ICIAI.

Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models

N. Bouguila, Wentao Fan, Bingwei Ge, 2022, Pattern Anal. Appl..

Transformer-based Encoder-Decoder Model for Surface Defect Detection

Wentao Fan, Xiaofeng Lu, Xiaofeng Lu, 2022, ICIAI.

Expectation propagation learning of finite multivariate Beta mixture models and applications

N. Bouguila, Narges Manouchehri, Wentao Fan, 2022, Neural Computing and Applications.

Contrastive semantic disentanglement in latent space for generalized zero-shot learning

Chen Liang, Wentao Fan, Tian Wang, 2022, Knowl. Based Syst..

Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions

N. Bouguila, Wentao Fan, Lin Yang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models

N. Bouguila, Wentao Fan, Bingwei Ge, 2022, Pattern Analysis and Applications.

Infinite Dirichlet mixture models learning via expectation propagation

N. Bouguila, Wentao Fan, 2013, Advances in Data Analysis and Classification.

Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing

Wentao Fan, Xin Liu, A. Li, 2018, Multimedia Tools and Applications.

Unsupervised modeling and feature selection of sequential spherical data through nonparametric hidden Markov models

Wentao Fan, Wenjuan Hou, 2022, International Journal of Machine Learning and Cybernetics.

Online variational learning of finite Dirichlet mixture models

N. Bouguila, Wentao Fan, 2012, Evolving Systems.

Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications

N. Bouguila, Wentao Fan, Manar Amayri, 2023, Applied Intelligence.

Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution

Nizar Bouguila, Samr Ali, Ziyang Song, 2020, Digit. Signal Process..

Variational Learning for Finite Dirichlet Mixture Models and Applications

Nizar Bouguila, Wentao Fan, Djemel Ziou, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Online variational learning of finite Dirichlet mixture models

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, Evol. Syst..

A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models

Nizar Bouguila, Wentao Fan, Ji-Xiang Du, 2017, Neural Processing Letters.

Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model

Nizar Bouguila, Wentao Fan, Narges Manouchehri, 2021, ACIIDS.

Learning of Multivariate Beta Mixture Models via Entropy-based component splitting

Wentao Fan, Nizar Bouguila, Narges Manouchehri, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Variational learning of finite Dirichlet mixture models using component splitting

Nizar Bouguila, Wentao Fan, Djemel Ziou, 2014, Neurocomputing.

Fast density peak clustering for large scale data based on kNN

Xin Liu, Ji-Xiang Du, Yi Chen, 2020, Knowl. Based Syst..

An Accelerated Variational Framework for Face Expression Recognition

Nizar Bouguila, Wentao Fan, N. Bouguila, 2018, 2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom).

A novel 3D model recognition approach using Pitman-Yor process mixtures of Beta-Liouville Distributions

Nizar Bouguila, Faisal R. Al-Osaimi, Wentao Fan, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, UDM@IJCAI.

Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, Multimedia Tools and Applications.

A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation

Nizar Bouguila, Wentao Fan, Xin Liu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification

Nizar Bouguila, Wentao Fan, N. Bouguila, 2016, ISVC.

Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications

Sami Bourouis, Nizar Bouguila, Hassen Sallay, 2016, Soft Comput..

Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models

Nizar Bouguila, Wentao Fan, N. Bouguila, 2015, Neural Processing Letters.

A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection

Sami Bourouis, Nizar Bouguila, Hassen Sallay, 2014, ICAIS.

Incremental Learning of an Infinite Beta-Liouville Mixture Model for Video Background Subtraction

Nizar Bouguila, Wentao Fan, N. Bouguila, 2014 .

Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions

Nizar Bouguila, Wentao Fan, N. Bouguila, 2014, DASFAA Workshops.

Infinite Dirichlet mixture models learning via expectation propagation

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, Adv. Data Anal. Classif..

Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, Pattern Recognit..

Face detection and facial expression recognition using simultaneous clustering and feature selection via an expectation propagation statistical learning framework

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, Multimedia Tools and Applications.

Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, ADMA.

Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, 2012 11th International Conference on Machine Learning and Applications.

Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, ACML.

Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, ICONIP.

Infinite Dirichlet Mixture Model and Its Application via Variational Bayes

Nizar Bouguila, Wentao Fan, N. Bouguila, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering

Nizar Bouguila, Wentao Fan, N. Bouguila, 2015, Eng. Appl. Artif. Intell..

Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions

Nizar Bouguila, Wentao Fan, N. Bouguila, 2020, Eng. Appl. Artif. Intell..

L 2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of von Mises Distributions with Localized Feature Selection

Nizar Bouguila, Yewang Chen, Ziyi Chen, 2019, Unsupervised and Semi-Supervised Learning.

Online variational learning of generalized Dirichlet mixture models with feature selection

Nizar Bouguila, Wentao Fan, N. Bouguila, 2014, Neurocomputing.

A Variational Statistical Framework for Object Detection

Nizar Bouguila, Wentao Fan, Djemel Ziou, 2011, ICONIP.

Clustering Analysis via Deep Generative Models With Mixture Models

Nizar Bouguila, Lin Yang, Wentao Fan, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting

Nizar Bouguila, Wentao Fan, Manar Amayri, 2021, Wireless Personal Communications.

A nonparametric Bayesian learning model using accelerated variational inference and feature selection

Nizar Bouguila, Wentao Fan, Xin Liu, 2019, Pattern Analysis and Applications.

Accelerated variational inference for Beta-Liouville mixture learning with application to 3D shapes recognition

Nizar Bouguila, Faisal R. Al-Osaimi, Wentao Fan, 2016, 2016 International Conference on Control, Decision and Information Technologies (CoDIT).

3D object modeling and recognition via online hierarchical Pitman-yor process mixture learning

Nizar Bouguila, Faisal R. Al-Osaimi, Wentao Fan, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models

Nizar Bouguila, Hassen Sallay, Wentao Fan, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models

Nizar Bouguila, Wentao Fan, N. Bouguila, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

An online approach for learning non-Gaussian mixture models with localized feature selection

Wentao Fan, N. Bouguila, N. Bouguila, 2013, 2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA).

Localization-Aware Meta Tracker Guided With Adversarial Features

Guorong Li, Wentao Fan, Bineng Zhong, 2019, IEEE Access.

Hierarchical Dirichlet and Pitman–Yor process mixtures of shifted‐scaled Dirichlet distributions for proportional data modeling

N. Bouguila, Z. Patterson, Narges Manouchehri, 2022, Comput. Intell..

Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications

Nizar Bouguila, Narges Manouchehri, Wentao Fan, 2021, Pattern Analysis and Applications.

Deep Learning with PCANet for Human Age Estimation

Jing Wang, Wentao Fan, Ji-Xiang Du, 2016, ICIC.

Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference

Nizar Bouguila, Wentao Fan, Djemel Ziou, 2013, IEEE Transactions on Knowledge and Data Engineering.

Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations

N. Bouguila, Wentao Fan, Lin Yang, 2022, Knowl. Based Syst..

Efficient Online Label Consistent Hashing for Large-Scale Cross-Modal Retrieval

Wentao Fan, Yiu-ming Cheung, Xing Xu, 2021, IEEE International Conference on Multimedia and Expo.

Nonparametric variational learning of multivariate beta mixture models in medical applications

Wentao Fan, Nizar Bouguila, Narges Manouchehri, 2020, Int. J. Imaging Syst. Technol..

Proportional data modeling via entropy-based variational bayes learning of mixture models

Nizar Bouguila, Faisal R. Al-Osaimi, Wentao Fan, 2017, Applied Intelligence.

Novel Approaches for Generating Video Textures

Wentao Fan, Wentao Fan, 2009 .

Novel approaches for synthesizing video textures

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, Expert Syst. Appl..

Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis

Nizar Bouguila, Wentao Fan, Meeta Kalra, 2020, Int. J. Imaging Syst. Technol..

Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models

Nizar Bouguila, Wentao Fan, Ru Wang, 2021, Pattern Recognit..

Uncertainty quantification in molecular property prediction through spherical mixture density networks

Wentao Fan, Lidan Zeng, Tian Wang, 2023, Eng. Appl. Artif. Intell..

Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis

Nizar Bouguila, Lin Yang, Yewang Chen, 2020, Knowl. Based Syst..

Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval

Wentao Fan, Yiu-Ming Cheung, Shu-Juan Peng, 2021, SIGIR.

Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications

N. Bouguila, Wentao Fan, 2014, Multimedia Tools and Applications.

Simultaneous clustering and feature selection via nonparametric Pitman–Yor process mixture models

Nizar Bouguila, Wentao Fan, N. Bouguila, 2019, Int. J. Mach. Learn. Cybern..

Simultaneous clustering and feature selection via nonparametric Pitman–Yor process mixture models

N. Bouguila, Wentao Fan, 2019, International Journal of Machine Learning and Cybernetics.

Unsupervised Feature Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference

Nizar Bouguila, Wentao Fan, Djemel Ziou, 2012 .

Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings

N. Bouguila, Wentao Fan, Lin Yang, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Video background subtraction using online infinite dirichlet mixture models

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions

Nizar Bouguila, Wentao Fan, N. Bouguila, 2019, IEEE Access.

Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions

Nizar Bouguila, Pantea Koochemeshkian, Narges Manouchehri, 2020, Information Systems Frontiers.

Image Segmentation Based on Finite IBL Mixture Model with a Dirichlet Compound Multinomial Prior

Wentao Fan, Zhiyan Guo, Wentao Fan, 2020, AIPR.

Unsupervised Video Object Segmentation Based on Mixture Models and Saliency Detection

Wentao Fan, Guofeng Lin, Wentao Fan, 2019, Neural Processing Letters.

A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models

Nizar Bouguila, Wentao Fan, Ji-Xiang Du, 2019, Neurocomputing.

Entropy-based variational Bayes learning framework for data clustering

Sami Bourouis, Nizar Bouguila, Wentao Fan, 2018, IET Image Process..

EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection

Sami Bourouis, Nizar Bouguila, Hassen Sallay, 2018, IEA/AIE.

A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection

Sami Bourouis, Nizar Bouguila, Hassen Sallay, 2015, Comput. Electr. Eng..

Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications

N. Bouguila, Wentao Fan, 2014, Neural Processing Letters.

Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection

Nizar Bouguila, Hassen Sallay, Wentao Fan, 2013, RSKT.

Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, MLIS '13.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering

Nizar Bouguila, Wentao Fan, N. Bouguila, 2022 .

Unsupervised feature selection for proportional data clustering via expectation propagation

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Variational learning of finite Beta-Liouville mixture models using component splitting

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference

Nizar Bouguila, Wentao Fan, N. Bouguila, 2013, IEEE Transactions on Neural Networks and Learning Systems.

A variational component splitting approach for finite generalized Dirichlet mixture models

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, 2012 International Conference on Communications and Information Technology (ICCIT).

Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection

Nizar Bouguila, Wentao Fan, Djemel Ziou, 2011, 2011 IEEE 11th International Conference on Data Mining.

Corse-to-Fine Road Extraction Based on Local Dirichlet Mixture Models and Multiscale-High-Order Deep Learning

Wentao Fan, Jonathan Li, Cheng Wang, 2020, IEEE Transactions on Intelligent Transportation Systems.

Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models

Nizar Bouguila, Wentao Fan, Zhiyan Guo, 2021, SIGIR.

Occupancy estimation in smart buildings using predictive modeling in imbalanced domains

N. Bouguila, Wentao Fan, Jiaxun Guo, 2022, Journal of Ambient Intelligence and Humanized Computing.

Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model

Nizar Bouguila, Wentao Fan, Manar Amayri, 2021, FLAIRS.

Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions

Nizar Bouguila, Wentao Fan, Xin Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach

Nizar Bouguila, Wentao Fan, Kamal Maanicshah, 2019, 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE).

Online Learning of Hierarchical Pitman–Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection

Nizar Bouguila, Hassen Sallay, Wentao Fan, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images

Wentao Fan, Bineng Zhong, Jixiang Du, 2021, Int. J. Appl. Earth Obs. Geoinformation.

Model-Based segmentation of image data using spatially constrained mixture models

Wentao Fan, Ji-Xiang Du, Can Hu, 2017, Neurocomputing.

Transformer-based contrastive learning framework for image anomaly detection

Wentao Fan, Yewang Chen, Weimin Shangguan, 2023, International Journal of Machine Learning and Cybernetics.

On video textures generation: A comparison between different dimensionality reduction techniques

Nizar Bouguila, Wentao Fan, N. Bouguila, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Generating Video Textures by PPCA and Gaussian Process Dynamical Model

Nizar Bouguila, Wentao Fan, N. Bouguila, 2009, CIARP.

A Hashing Image Retrieval Method Based on Deep Learning and Local Feature Fusion

Wentao Fan, Ji-Xiang Du, Yi-Liang Nie, 2017, ICIC.

Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models

N. Bouguila, Wentao Fan, 2016, Neural Processing Letters.

Online variational finite Dirichlet mixture model and its applications

Nizar Bouguila, Wentao Fan, N. Bouguila, 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

Unsupervised meta-learning via spherical latent representations and dual VAE-GAN

Chen Liang, Xin Liu, Wentao Fan, 2023, Applied Intelligence.

Efficient Cross-modal Retrieval via Discriminative Deep Correspondence Model

An Li, Wentao Fan, Bineng Zhong, 2017, CCCV.

Bayesian Matrix Factorization for Semibounded Data

N. Bouguila, Wentao Fan, Manar Amayri, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Continuous image anomaly detection based on contrastive lifelong learning

N. Bouguila, Wentao Fan, Weimin Shangguan, 2023, Applied Intelligence.

ECG Data Modeling and Analyzing via Deep Representation Learning and Nonparametric Hidden Markov Models

Wentao Fan, Jiaojiao Zhu, Wentao Fan, 2021, SIGIR.

Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions

Nizar Bouguila, Wentao Fan, N. Bouguila, 2015, 2015 IEEE International Conference on Image Processing (ICIP).