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Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19

PLoS computational biology, 2022-02, Vol.18 (2), p.e1009807

2022

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AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data

IEEE transaction on neural networks and learning systems, 2018-09, Vol.29 (9), p.3953-3968

2018

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Unsupervised Clothing Change Adaptive Person ReID

IEEE signal processing letters, 2022, Vol.29, p.304-308

2022

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Relative Pairwise Relationship Constrained Non-Negative Matrix Factorisation

IEEE transactions on knowledge and data engineering, 2019-08, Vol.31 (8), p.1595-1609

2019

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Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes

IEEE transaction on neural networks and learning systems, 2018-05, Vol.29 (5), p.1835-1849

2018

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Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes

IEEE transactions on knowledge and data engineering, 2017-07, Vol.29 (7), p.1357-1369

2017

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Implicit Bias of Deep Learning in the Large Learning Rate Phase: A Data Separability Perspective

Applied sciences, 2023-03, Vol.13 (6), p.3961

2023

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Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator

IEEE transactions on image processing, 2019-10, Vol.28 (10), p.4899-4911

2019

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Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network

IEEE transactions on cybernetics, 2017-03, Vol.47 (3), p.589-599

2017

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RGB-IR cross-modality person ReID based on teacher-student GAN model

Pattern recognition letters, 2021-10, Vol.150, p.155-161

2021

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A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction

IEEE access, 2018-01, Vol.6, p.7445-7451

2018

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Exploring temporal consistency for human pose estimation in videos

Pattern recognition, 2020-07, Vol.103, p.107258, Article 107258

2020

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Magnitude Bounded Matrix Factorisation for Recommender Systems

IEEE transactions on knowledge and data engineering, 2022-04, Vol.34 (4), p.1856-1869

2022

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ODCL: An Object Disentanglement and Contrastive Learning Model for Few-Shot Industrial Defect Detection

IEEE sensors journal, 2024, Vol.24 (11), p.18568-18577

2024

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A Bayesian nonparametric model for multi-label learning

Machine learning, 2017-11, Vol.106 (11), p.1787-1815

2017

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Dynamic Infinite Mixed-Membership Stochastic Blockmodel

IEEE transaction on neural networks and learning systems, 2015-09, Vol.26 (9), p.2072-2085

2015

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Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout

Pattern recognition letters, 2022-07, Vol.159, p.132-139

2022

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Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning

IEEE internet of things journal, 2022-12, Vol.9 (24), p.24643-24654

2022

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Region scalable active contour model with global constraint

Knowledge-based systems, 2017-03, Vol.120, p.57-73

2017

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Robust Object Tracking With Discrete Graph-Based Multiple Experts

IEEE transactions on image processing, 2017-06, Vol.26 (6), p.2736-2750

2017

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Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems

IEEE transaction on neural networks and learning systems, 2019-12, Vol.30 (12), p.3530-3533

2019

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Kernelized Sparse Bayesian Matrix Factorization

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.391-404

2021

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Geometrically-constrained balloon fitting for multiple connected ellipses

Pattern recognition, 2015-07, Vol.48 (7), p.2198-2208

2015

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Diversified Hidden Markov Models for Sequential Labeling

IEEE transactions on knowledge and data engineering, 2015-11, Vol.27 (11), p.2947-2960

2015

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Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures

IEEE transactions on signal processing, 2020, Vol.68, p.3860-3870

2020

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Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19

AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data

Unsupervised Clothing Change Adaptive Person ReID

Relative Pairwise Relationship Constrained Non-Negative Matrix Factorisation

Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes

Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes

Implicit Bias of Deep Learning in the Large Learning Rate Phase: A Data Separability Perspective

Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator

Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network

RGB-IR cross-modality person ReID based on teacher-student GAN model

A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction

Exploring temporal consistency for human pose estimation in videos

Magnitude Bounded Matrix Factorisation for Recommender Systems

ODCL: An Object Disentanglement and Contrastive Learning Model for Few-Shot Industrial Defect Detection

A Bayesian nonparametric model for multi-label learning

Dynamic Infinite Mixed-Membership Stochastic Blockmodel

Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout

Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning

Region scalable active contour model with global constraint

Robust Object Tracking With Discrete Graph-Based Multiple Experts

Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems

Kernelized Sparse Bayesian Matrix Factorization

Geometrically-constrained balloon fitting for multiple connected ellipses

Diversified Hidden Markov Models for Sequential Labeling

Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures

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