Wentao Fan
Orcid: 0000-0001-6694-7289
According to our database1,
Wentao Fan
authored at least 150 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Spiking generative networks empowered by multiple dynamic experts for lifelong learning.
Expert Syst. Appl., March, 2024
Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications.
Expert Syst. Appl., March, 2024
2023
DRL-Based Service Function Chain Edge-to-Edge and Edge-to-Cloud Joint Offloading in Edge-Cloud Network.
IEEE Trans. Netw. Serv. Manag., December, 2023
Fast algorithm for parallel solving inversion of large scale small matrices based on GPU.
J. Supercomput., November, 2023
Int. J. Mach. Learn. Cybern., October, 2023
Appl. Intell., October, 2023
Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications.
Appl. Intell., July, 2023
Appl. Intell., July, 2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains.
J. Ambient Intell. Humaniz. Comput., 2023
Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data.
IEEE Internet Things J., 2023
Uncertainty quantification in molecular property prediction through spherical mixture density networks.
Eng. Appl. Artif. Intell., 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
2022
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling.
Comput. Intell., December, 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models.
Pattern Anal. Appl., 2022
Expectation propagation learning of finite multivariate Beta mixture models and applications.
Neural Comput. Appl., 2022
Unsupervised modeling and feature selection of sequential spherical data through nonparametric hidden Markov models.
Int. J. Mach. Learn. Cybern., 2022
Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations.
Knowl. Based Syst., 2022
Contrastive semantic disentanglement in latent space for generalized zero-shot learning.
Knowl. Based Syst., 2022
A complex Jensen-Shannon divergence in complex evidence theory with its application in multi-source information fusion.
Eng. Appl. Artif. Intell., 2022
Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Proceedings of the ICIAI 2022: The 6th International Conference on Innovation in Artificial Intelligence, Guangzhou China, March 4, 2022
Proceedings of the ICIAI 2022: The 6th International Conference on Innovation in Artificial Intelligence, Guangzhou China, March 4, 2022
Proceedings of the ICIAI 2022: The 6th International Conference on Innovation in Artificial Intelligence, Guangzhou China, March 4, 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
2021
Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting.
Wirel. Pers. Commun., 2021
A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings.
IEEE Trans. Consumer Electron., 2021
Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images.
Remote. Sens., 2021
Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models.
Pattern Recognit., 2021
Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications.
Pattern Anal. Appl., 2021
Nonparametric variational learning of multivariate beta mixture models in medical applications.
Int. J. Imaging Syst. Technol., 2021
Real-time video dehazing via incremental transmission learning and spatial-temporally coherent regularization.
Neurocomputing, 2021
Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2021
ECG Data Modeling and Analyzing via Deep Representation Learning and Nonparametric Hidden Markov Models.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Infinite Von Mises-Fisher Mixture Model and Its Application to Gene Expression Data Clustering.
Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
2020
Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2020
Corse-to-Fine Road Extraction Based on Local Dirichlet Mixture Models and Multiscale-High-Order Deep Learning.
IEEE Trans. Intell. Transp. Syst., 2020
Unsupervised Video Object Segmentation Based on Mixture Models and Saliency Detection.
Neural Process. Lett., 2020
Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis.
Knowl. Based Syst., 2020
Knowl. Based Syst., 2020
Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions.
Inf. Syst. Frontiers, 2020
Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis.
Int. J. Imaging Syst. Technol., 2020
Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions.
Eng. Appl. Artif. Intell., 2020
Digit. Signal Process., 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Axial Data Modeling with Collapsed Nonparametric Watson Mixture Models and Its Application to Depth Image Analysis.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020
Relational Metric Learning with Dual Graph Attention Networks for Social Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Image Segmentation Based on Finite IBL Mixture Model with a Dirichlet Compound Multinomial Prior.
Proceedings of the AIPR 2020: 3rd International Conference on Artificial Intelligence and Pattern Recognition, 2020
2019
Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions.
IEEE Trans. Neural Networks Learn. Syst., 2019
A nonparametric Bayesian learning model using accelerated variational inference and feature selection.
Pattern Anal. Appl., 2019
Simultaneous clustering and feature selection via nonparametric Pitman-Yor process mixture models.
Int. J. Mach. Learn. Cybern., 2019
J. Sensors, 2019
A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models.
Neurocomputing, 2019
Positive Sequential Data Modeling Using Continuous Hidden Markov Models Based on Inverted Dirichlet Mixtures.
IEEE Access, 2019
Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions.
IEEE Access, 2019
Unsupervised Image Categorization Based on Variational Autoencoder and Student's-T Mixture Model.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019
Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
2018
A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models.
Neural Process. Lett., 2018
Efficient cross-modal retrieval via flexible supervised collective matrix factorization hashing.
Multim. Tools Appl., 2018
Neurocomputing, 2018
Efficient human motion capture data annotation via multi-view spatiotemporal feature fusion.
IET Signal Process., 2018
IET Image Process., 2018
A Novel Approach for Anomaly Event Detection in Videos Based on Autoencoders and SE Networks.
Proceedings of the 9th International Symposium on Signal, Image, Video and Communications, 2018
EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
Fine-Grained Recognition of Vegetable Images Based on Multi-scale Convolution Neural Network.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the 2018 IEEE International Black Sea Conference on Communications and Networking, 2018
2017
Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2017
J. Electronic Imaging, 2017
Proportional data modeling via entropy-based variational bayes learning of mixture models.
Appl. Intell., 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017
Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017
2016
Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications.
Soft Comput., 2016
Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models.
Neural Process. Lett., 2016
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016
An Iterative Weighted KNN (IW-KNN) Based Indoor Localization Method in Bluetooth Low Energy (BLE) Environment.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016
A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016
A novel 3D model recognition approach using Pitman-Yor process mixtures of Beta-Liouville Distributions.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
A Novel Image Segmentation Approach Based on Truncated Infinite Student's t-mixture Model.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
Accelerated variational inference for Beta-Liouville mixture learning with application to 3D shapes recognition.
Proceedings of the International Conference on Control, 2016
2015
Face detection and facial expression recognition using simultaneous clustering and feature selection via an expectation propagation statistical learning framework.
Multim. Tools Appl., 2015
Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering.
Eng. Appl. Artif. Intell., 2015
A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection.
Comput. Electr. Eng., 2015
Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
3D object modeling and recognition via online hierarchical Pitman-yor process mixture learning.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
Sensing and Monitoring for Cellular Networks: A Crowdsourcing Platform from Mobile Smartphones.
Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015
2014
Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications.
Neural Process. Lett., 2014
Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications.
Multim. Tools Appl., 2014
Neurocomputing, 2014
Online variational learning of generalized Dirichlet mixture models with feature selection.
Neurocomputing, 2014
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions.
Proceedings of the Database Systems for Advanced Applications, 2014
2013
Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference.
IEEE Trans. Neural Networks Learn. Syst., 2013
Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference.
IEEE Trans. Knowl. Data Eng., 2013
Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection.
Pattern Recognit., 2013
Adv. Data Anal. Classif., 2013
Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013
Unsupervised feature selection for proportional data clustering via expectation propagation.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Variational learning of finite Beta-Liouville mixture models using component splitting.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition.
Proceedings of the 2nd Workshop on Machine Learning for Interactive Systems, 2013
Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models.
Proceedings of the 3rd Workshop on Ubiquitous Data Mining co-located with the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), 2013
Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering.
Proceedings of the IJCAI 2013, 2013
Spatio-temporal object recognition using variational learning of an infinite statistical model.
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the Tenth Conference on Computer and Robot Vision, 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection.
Proceedings of the 4th Asian Conference on Machine Learning, 2012
Proceedings of the 13th International Workshop on Image Analysis for Multimedia Interactive Services, 2012
Face Detection and Facial Expression Recognition Using a Novel Variational Statistical Framework.
Proceedings of the Multimedia Communications, Services and Security, 2012
Proceedings of the 11th International Conference on Information Science, 2012
Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
A variational component splitting approach for finite generalized Dirichlet mixture models.
Proceedings of the International Conference on Communications and Information Technology, 2012
Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011
2010
Tow-Ship Interference Suppression Based on Blind Source Separation for Passive Sonar.
Proceedings of the Third International Symposium on Parallel Architectures, 2010
2009
On Video Textures Generation: A Comparison Between Different Dimensionality Reduction Techniques.
Proceedings of the IEEE International Conference on Systems, 2009
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Blind Adaptive Beamformer Based on Independent Component Analysis for Underwater Passive Acoustic Source Separation.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009
Proceedings of the Progress in Pattern Recognition, 2009