Richard Y. D. Xu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning.
CoRR, 2024

2023
Calibrated reconstruction based adversarial autoencoder model for novelty detection.
Pattern Recognit. Lett., May, 2023

Capture and control content discrepancies via normalised flow transfer.
Pattern Recognit. Lett., January, 2023

Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection.
Trans. Mach. Learn. Res., 2023

KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation.
CoRR, 2023

A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning.
CoRR, 2023

RTANet: Recommendation Target-Aware Network Embedding.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Robust Feature Rectification of Pretrained Vision Models for Object Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Domain Decorrelation with Potential Energy Ranking.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Environment-Robust Device-Free Human Activity Recognition With Channel-State-Information Enhancement and One-Shot Learning.
IEEE Trans. Mob. Comput., 2022

Magnitude Bounded Matrix Factorisation for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

Unsupervised Clothing Change Adaptive Person ReID.
IEEE Signal Process. Lett., 2022

A Combined mmWave Tracking and Classification Framework Using a Camera for Labeling and Supervised Learning.
Sensors, 2022

Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout.
Pattern Recognit. Lett., 2022

Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19.
PLoS Comput. Biol., 2022

Time-varying neural network for stock return prediction.
Intell. Syst. Account. Finance Manag., 2022

Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning.
IEEE Internet Things J., 2022

Learning adversarial point-wise domain alignment for stereo matching.
Neurocomputing, 2022

Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning.
CoRR, 2022

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application.
CoRR, 2022

Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning.
CoRR, 2022

From traffic classes to content: A hierarchical approach for encrypted traffic classification.
Comput. Networks, 2022

A novel zone-based machine learning approach for the prediction of the performance of industrial flares.
Comput. Chem. Eng., 2022

Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Deep Embedded Clustering via Learning Cluster-level Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Kernelized Sparse Bayesian Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2021

RGB-IR cross-modality person ReID based on teacher-student GAN model.
Pattern Recognit. Lett., 2021

Gaussian process latent variable model factorization for context-aware recommender systems.
Pattern Recognit. Lett., 2021

GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples.
CoRR, 2021

Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures.
CoRR, 2021

Dual Behavior Regularized Reinforcement Learning.
CoRR, 2021

Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning.
CoRR, 2021

Alleviating Mode Collapse in GAN via Diversity Penalty Module.
CoRR, 2021

Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss.
CoRR, 2021

On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Resolution-Invariant Person Reid Based On Feature Transformation And Self-Weighted Attention.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Supervised Temporal Autoencoder for Stock Return Time-series Forecasting.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Asian Conference on Machine Learning, 2021

Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures.
IEEE Trans. Signal Process., 2020

Fast non-rigid points registration with cluster correspondences projection.
Signal Process., 2020

Exploring temporal consistency for human pose estimation in videos.
Pattern Recognit., 2020

Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits.
PLoS Comput. Biol., 2020

Implicit bias of deep linear networks in the large learning rate phase.
CoRR, 2020

Non-stationary neural network for stock return prediction.
CoRR, 2020

Autonomous Target Allocation Recommendations.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Nonparametric Bayesian Nonnegative Matrix Factorization.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2020

Gaussian Mixture Model based Convolutional Sparse Coding for Radar Heartbeat Detection.
Proceedings of the 14th International Conference on Signal Processing and Communication Systems, 2020

GAN-based Gaussian Mixture Model Responsibility Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Simultaneous Customer Segmentation and Behavior Discovery.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Illumination Adaptive Person Reid Based on Teacher-Student Model and Adversarial Training.
Proceedings of the IEEE International Conference on Image Processing, 2020

WiFi-Based Activity Recognition using Activity Filter and Enhanced Correlation with Deep Learning.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Towards Environment-independent Human Activity Recognition using Deep Learning and Enhanced CSI.
Proceedings of the IEEE Global Communications Conference, 2020

End-to-end Dynamic Matching Network for Multi-view Multi-person 3D Pose Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019

Relative Pairwise Relationship Constrained Non-Negative Matrix Factorisation.
IEEE Trans. Knowl. Data Eng., 2019

Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator.
IEEE Trans. Image Process., 2019

Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Multi-task Learning for Relation Extraction.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Deep Learning Networks for Human Activity Recognition with CSI Correlation Feature Extraction.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Efficient Diversified Mini-Batch Selection using Variable High-layer Features.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

Realistic Image Generation using Region-phrase Attention.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes.
IEEE Trans. Neural Networks Learn. Syst., 2018

AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data.
IEEE Trans. Neural Networks Learn. Syst., 2018

A perceptual quality metric for 3D triangle meshes based on spatial pooling.
Frontiers Comput. Sci., 2018

A new mesh visual quality metric using saliency weighting-based pooling strategy.
Graph. Model., 2018

Diverse Online Feature Selection.
CoRR, 2018

A novel spatial pooling method for 3D mesh quality assessment based on percentile weighting strategy.
Comput. Graph., 2018

A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction.
IEEE Access, 2018

Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic.
Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018

Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State Information.
Proceedings of the IEEE Globecom Workshops, 2018

2017
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes.
IEEE Trans. Knowl. Data Eng., 2017

Robust Object Tracking With Discrete Graph-Based Multiple Experts.
IEEE Trans. Image Process., 2017

Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network.
IEEE Trans. Cybern., 2017

Guest Editorial: Visual Multimedia Learning from Big Surveillance Data.
Multim. Tools Appl., 2017

A Bayesian nonparametric model for multi-label learning.
Mach. Learn., 2017

Region scalable active contour model with global constraint.
Knowl. Based Syst., 2017

Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization.
CoRR, 2017

Semantic summary automatic generation in news event.
Concurr. Comput. Pract. Exp., 2017

2016
Fast Sampling for Time-Varying Determinantal Point Processes.
ACM Trans. Knowl. Discov. Data, 2016

Time Varying Metric Learning for visual tracking.
Pattern Recognit. Lett., 2016

N-dimensional Markov random field prior for cold-start recommendation.
Neurocomputing, 2016

Copula Mixed-Membership Stochastic Blockmodel.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

MetricRec: Metric Learning for Cold-Start Recommendations.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Random Mixed Field Model for Mixed-Attribute Data Restoration.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Dynamic Infinite Mixed-Membership Stochastic Blockmodel.
IEEE Trans. Neural Networks Learn. Syst., 2015

Diversified Hidden Markov Models for Sequential Labeling.
IEEE Trans. Knowl. Data Eng., 2015

Geometrically-constrained balloon fitting for multiple connected ellipses.
Pattern Recognit., 2015

Nonparametric Relational Topic Models through Dependent Gamma Processes.
CoRR, 2015

An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data.
CoRR, 2015

Community Detection Based on Links and Node Features in Social Networks.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Face hallucination based on nonparametric Bayesian learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Joint Action Segmentation and Classification by an Extended Hidden Markov Model.
IEEE Signal Process. Lett., 2013

Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network.
CoRR, 2013

Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations.
CoRR, 2013

A non-parametric conditional factor regression model for high-dimensional input and response.
CoRR, 2013

2012
An online HDP-HMM for joint action segmentation and classification in motion capture data.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
Automatic Human Action Recognition in Videos by Graph Embedding.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

A discriminative prototype selection approach for graph embedding in human action recognition.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

HMM-MIO: An enhanced hidden Markov model for action recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Fitting Multiple Connected Ellipses to an Image Silhouette Hierarchically.
IEEE Trans. Image Process., 2010

An iterative approach for fitting multiple connected ellipse structure to silhouette.
Pattern Recognit. Lett., 2010

Compressive Sensing of Time Series for Human Action Recognition.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Robust Dimensionality Reduction for Human Action Recognition.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

2009
Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-tuning.
Proceedings of the International Conference on Image Processing, 2009

Design Strategy for a Scalable Virtual Pharmacy Patient.
Proceedings of the Australasian Conference on Information Systems, 2009

Rationale, Design and Implementation of a Computer Vision-Based Interactive E-Learning System.
Proceedings of the Methods and Applications for Advancing Distance Education Technologies, 2009

2008
A Computer Vision based Whiteboard Capture System.
Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

A computer vision based camera pedestal's vertical motion control.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

2007
Camera Control and Multimedia Interaction using Individual Object Recognition.
J. Multim., 2007

Rationale, Design and Implementation of a Computer Vision-Based Interactive E-Learning System.
Int. J. Distance Educ. Technol., 2007

Mixture of the Robust L1 Distributions and Its Applications.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006
Individual Object Interaction for Camera Control and Multimedia Synchronization.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Error Rate in Multimodal Mobility Systems.
Proceedings of the Advances in Intelligent IT, 2006

A Portable and Low-Cost E-Learning Video Capture System.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006

2005
Dependence Testing and Vectorization of Multimedia Agents.
Proceedings of The 2005 International Conference on Computer Vision, 2005

Framework for Script Based Virtual Directing and Multimedia Authoring in Live Video Streaming.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Scheduling Latency Insensitive Computer Vision Tasks.
Proceedings of the Parallel and Distributed Processing and Applications, 2005

Stream-Based Interactive Video Language Authoring Using Correlated Audiovisual Watermarking.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

Mean Shift Object Tracking for a SIMD Computer.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

Framework for Multimedia Lecture System using Real-Time Video Object Event Detection and Scripting.
Proceedings of the Internet and Multimedia Systems and Applications, 2005

Latency Insensitive Task Scheduling for Real-Time Video Processing and Streaming.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2005

2003
Robust Real-Time Tracking of Non-Rigid Objects.
Proceedings of the Visual Information Processing 2003, 2003

Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces.
Proceedings of the Visual Information Processing 2003, 2003

2002
Media Streaming Synchronisation and Video Interaction: A Survey.
Proceedings of the Visualisation 2002, 2002


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