Yang Wang

According to our database1, Yang Wang authored at least 114 papers between 2002 and 2020.

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Bibliography

2020
Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants.
Int. J. Data Sci. Anal., 2020

Long-Term Pipeline Failure Prediction Using Nonparametric Survival Analysis.
CoRR, 2020

Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers.
CoRR, 2020

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

2019
High-Quality Image Captioning With Fine-Grained and Semantic-Guided Visual Attention.
IEEE Trans. Multim., 2019

Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation.
CoRR, 2019

Hawkes Process with Stochastic Triggering Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Multitask Learning for Sparse Failure Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Online Data Fusion Using Incremental Tensor Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Recovering DTW Distance Between Noise Superposed NHPP.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Visual Relationship Attention for Image Captioning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Discriminative Sample Generation for Deep Imbalanced Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Predicting Water Quality for the Woronora Delivery Network with Sparse Samples.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Effects of Influence on User Trust in Predictive Decision Making.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Optimising Pump Scheduling for Water Distribution Networks.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge.
Proceedings of the Human and Machine Learning, 2018

Domain Knowledge in Predictive Maintenance for Water Pipe Failures.
Proceedings of the Human and Machine Learning, 2018

Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features.
Proceedings of the Human and Machine Learning, 2018

Adaptive Online One-Class Support Vector Machines with Applications in Structural Health Monitoring.
ACM Trans. Intell. Syst. Technol., 2018

Fine-Grained and Semantic-Guided Visual Attention for Image Captioning.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

A Refined MISD Algorithm Based on Gaussian Process Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Size-Invariant Attention Accuracy Metric for Image Captioning with High-Resolution Residual Attention.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Detecting Users' Cognitive Load by Galvanic Skin Response with Affective Interference.
ACM Trans. Interact. Intell. Syst., 2017

Wrapping practical problems into a machine learning framework: using water pipe failure prediction as a case study.
Int. J. Intell. Syst. Technol. Appl., 2017

Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Unsupervised Matrix-valued Kernel Learning For One Class Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Robust Multimodal Cognitive Load Measurement
Human-Computer Interaction Series, Springer, ISBN: 978-3-319-31700-7, 2016

Soft Hough Forest-ERTs: Generalized Hough Transform based object detection from soft-labelled training data.
Pattern Recognit., 2016

Making machine learning useable by revealing internal states update - a transparent approach.
Int. J. Comput. Sci. Eng., 2016

Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise.
Comput. Vis. Image Underst., 2016

Stochastic Patching Process.
CoRR, 2016

A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Effective Local Metric Learning for Water Pipe Assessment.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Infinite Hidden Semi-Markov Modulated Interaction Point Process.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Optimization of Partition Layouts for Mondrian Processes.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Interaction Point Processes via Infinite Branching Model.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

The Ostomachion Process.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

A Generic Service Framework for Stock Market Prediction.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface.
ACM Trans. Comput. Hum. Interact., 2015

On Damage Identification in Civil Structures Using Tensor Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making.
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, 2015

Metadata Dependent Mondrian Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Batch Mode Active Learning for Object Detection Based on Maximum Mean Discrepancy.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Be Informed and Be Involved: Effects of Uncertainty and Correlation on User's Confidence in Decision Making.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Interactive Mouse Stream as Real-Time Indicator of User's Cognitive Load.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

A Generic Ranking Service on Scientific Datasets.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2014
Multilabel Image Classification Via High-Order Label Correlation Driven Active Learning.
IEEE Trans. Image Process., 2014

Water pipe condition assessment: a hierarchical beta process approach for sparse incident data.
Mach. Learn., 2014

Stable Learning in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

An Effective Integrated Method for Learning Big Imbalanced Data.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013
Visual tracking by proto-objects.
Pattern Recognit., 2013

Mutual information-based method for selecting informative feature sets.
Pattern Recognit., 2013

Adaptive Foreground and Shadow Detection inImage Sequences
CoRR, 2013

A Bayesian non-parametric viewpoint to visual tracking.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

A weakly supervised approach for object detection based on Soft-Label Boosting.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Analysing mouse activity for cognitive load detection.
Proceedings of the Augmentation, Application, Innovation, Collaboration, OzCHI '13, Adelaide, Australia - November 25, 2013

Indexing cognitive workload based on pupillary response under luminance and emotional changes.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Integrating video cameras for ALINEA on-ramp queue length estimation.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

GSR and Blink Features for Cognitive Load Classification.
Proceedings of the Human-Computer Interaction - INTERACT 2013, 2013

The Effect of Stress on Cognitive Load Measurement.
Proceedings of the Human-Computer Interaction - INTERACT 2013, 2013

2012
Multimodal behavior and interaction as indicators of cognitive load.
ACM Trans. Interact. Intell. Syst., 2012

Multiple-Instance learning from multiple perspectives: Combining models for Multiple-Instance learning.
Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Batch mode active learning for multi-label image classification with informative label correlation mining.
Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks.
Proceedings of the 24th Australian Computer-Human Interaction Conference, OzCHI '12, Melbourne, VIC, Australia - November 26, 2012

2011
Feature fusion for vehicle detection and tracking with low-angle cameras.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Saliency detection based on proto-objects and topic model.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Pupillary Response Based Cognitive Workload Measurement under Luminance Changes.
Proceedings of the Human-Computer Interaction - INTERACT 2011, 2011

Measuring Cognitive Workload with Low-Cost Electroencephalograph.
Proceedings of the Human-Computer Interaction - INTERACT 2011, 2011

Quantifying the exact impact of state estimation error on traffic signal control.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Computational Transportation Science 2011, 2011

Pupillary response based cognitive workload index under luminance and emotional changes.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010
Joint Random Field Model for All-Weather Moving Vehicle Detection.
IEEE Trans. Image Process., 2010

Multi-class Graph Boosting with Subgraph Sharing for Object Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Vehicle detection and tracking with low-angle cameras.
Proceedings of the International Conference on Image Processing, 2010

Saliency based joint topic discovery for object categorization.
Proceedings of the International Conference on Image Processing, 2010

Vehicle occlusion model for traffic monitoring.
Proceedings of the Second International Workshop on Computational Transportation Science, 2010

Adaptive traffic signal control using vehicle-to-infrastructure communication: a technical note.
Proceedings of the Second International Workshop on Computational Transportation Science, 2010

Image Topic Discovery with Saliency Detection.
Proceedings of the British Machine Vision Conference, 2010

Affinity Propagation Feature Clustering with Application to Vehicle Detection and Tracking in Road Traffic Surveillance.
Proceedings of the Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, 2010

Spatial-Temporal Affinity Propagation for Feature Clustering with Application to Traffic Video Analysis.
Proceedings of the Computer Vision - ACCV 2010, 2010

Online Learning for PLSA-Based Visual Recognition.
Proceedings of the Computer Vision - ACCV 2010, 2010

Unsupervised Moving Object Detection with On-line Generalized Hough Transform.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Multi-instance learning with relational information of instances.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

Informative frequent assembled feature for face detection.
Proceedings of the International Conference on Image Processing, 2009

Feature clustering for vehicle detection and tracking in road traffic surveillance.
Proceedings of the International Conference on Image Processing, 2009

Finding shareable informative patterns and optimal coding matrix for multiclass boosting.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

On the performance of adaptive traffic signal control.
Proceedings of the Second International Workshop on Computational Transportation Science, 2009

Incremental EM for Probabilistic Latent Semantic Analysis on Human Action Recognition.
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

Traffic Density Estimation with On-line SVM Classifier.
Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

2008
Probabilistic Framework for Brain Connectivity From Functional MR Images.
IEEE Trans. Medical Imaging, 2008

A practical approach to multiple super-resolution sprite generation.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Joint Random Fields for Moving Vehicle Detection.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
Robust facial feature tracking under varying face pose and facial expression.
Pattern Recognit., 2007

2006
Contextual modeling of functional MR images with conditional random fields.
IEEE Trans. Medical Imaging, 2006

A Dynamic Conditional Random Field Model for Foreground and Shadow Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Facial Feature Tracking using a Multi-State Hierarchical Shape Model under Varying Face Pose and Facial Expression.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
Spatiotemporal video segmentation based on graphical models.
IEEE Trans. Image Process., 2005

A probabilistic approach for foreground and shadow segmentation in monocular image sequences.
Pattern Recognit., 2005

A Dynamic Hidden Markov Random Field Model for Foreground and Shadow Segmentation.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2003
Switching Hypothesized Measurements: A Dynamic Model with Applications to Occlusion Adaptive Joint Tracking.
Proceedings of the IJCAI-03, 2003

A probabilistic method for foreground and shadow segmentation.
Proceedings of the 2003 International Conference on Image Processing, 2003

Joint Region Tracking with Switching Hypothesized Measurements.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Video Segmentation Based on Graphical Models.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
Adaptive Foreground and Shadow Detection in Image Sequences.
Proceedings of the UAI '02, 2002


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