Publications

Clustering Social Audiences in Business Information Networks

Yu Zheng, Ruiqi Hu, Sai-fu Fung, Celina Yu, Guodong Long, Ting Guo, Shirui Pan

Pattern Recognition, 2019

Neural Feature Search: A Neural Architecture for Automated Feature Engineering

Xiangning Chen, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang

IEEE International Conference on Data Mining, 2019

Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring

Hongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, Fang Chen

ACM International Conference on Information and Knowledge Management, 2019

Linking Complex Urban Systems: Insights from Cross-Domain Urban Data Analysis

Lelin Zhang, Ting Guo, Fang Chen, Peter Runcie, Bronwyn Cameron, Roger Rooney

Open Cities | Open Data: Collaborative Cities in the Information Era, 2019

Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network

Jiahao Xu, Boyan Zhang, Zhirong Wang, Yang Wang, Fang Chen, Junbin Gao, David Dagan Feng

IEEE Transactions on Multimedia, 2019

Multiple Knowledge Transfer for Cross-Domain Recommendation

Quan Do, Sunny Verma, Fang Chen, Wei Liu

Pacific Rim International Conference on Artificial Intelligence, 2019

Discriminative Sample Generation for Deep Imbalanced Learning

Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen

International Joint Conferences on Artificial Intelligence, 2019

Visual Relationship Attention for Image Captioning

Zongjian Zhan, Yang Wang, Qiang Wu, Fang Chen

International Joint Conference on Neural Networks, 2019

Multitask Learning for Sparse Failure Prediction

Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong

International Journal of Data Science and Analytics, 2019

CFOND: Consensus Factorization for Co-Clustering Networked Data

Ting Guo, Shirui Pan, Xingquan Zhu, Chengqi Zhang

IEEE Transactions on Knowledge and Data Engineering, 2019

Hawkes Process with Stochastic Triggering Kernel

Feng Zhou, Yixuan Zhang, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019

Online Data Fusion Using Incremental Tensor Learning

Nguyen Lu Dang Khoa, Hongda Tian, Yang Wang, Fang Chen

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019

Recovering DTW Distance Between Noise Superposed NHPP

Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019

Multitask Learning for Sparse Failure Prediction

Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen, Raymond K. Wong

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019

High-Quality Image Captioning With Fine-Grained and Semantic-Guided Visual Attention

Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen

IEEE Transactions on Multimedia, 2018

Size-Invariant Attention Accuracy Metric for Image Captioning with High-Resolution Residual Attention

Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen

Digital Image Computing: Techniques and Applications, 2018

Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains

Bin Liang, Zhidong Li, Yang Wang, Fang Chen

ACM International Conference on Information and Knowledge Management, 2018

DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain

Weihong Wang, Jie Xu, Yang Wang, Chen Cai, and Fang Chen

International Conference on Information and Knowledge Management, 2018

“Automated Parameter Tuning in One-Class Support Vector Machine: an Application for Damage Detection

Ali Anaissi, Nguyen Lu Dang Khoa, Yang Wang

International Journal of Data Science and Analytics, 2018

Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model

Bang Zhang, Lelin Zhang, Ting Guo, Yang Wang, Fang Chen

International Conference on Knowledge Discovery & Data Mining, 2018

A Refined MISD Algorithm Based on Gaussian Process Regression

Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang, Arcot Sowmya, Fang Chen

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2018

Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study

Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2018

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics

Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Fang Chen

ACM International Conference on Multimedia Retrieval, 2018

Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge

Bang Zhang, Ting Guo, Lelin Zhang, Peng Lin, Yang Wang, Jianlong Zhou, Fang Chen

Human–Computer Interaction Series, 2018

Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features

Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Ali Anaissi, Yang Wang

Human–Computer Interaction Series, 2018

Domain Knowledge in Predictive Maintenance for Water Pipe Failures

Zhidong Li, Yang Wang

Human–Computer Interaction Series, 2018

Pipeline Failure Data Analytics and Prediction

Bin Liang, Dilusha Weeraddana, Zhidong Li, Shiyang Lu, Xuhui Fan, Yang Wang, Fang Chen, Gagneet Serai, Ivan Beirne, Mitchell Hayward

Ozwater, 2018

Fine-Grained and Semantic-Guided Visual Attention for Image Captioning

Zongjian Zhang, Qiang Wu, Yang Wang, Fang Chen

IEEE Winter Conference on Applications of Computer Vision, 2018

Success in Data Analytics – Sydney Water And Data61 Collaboration

Dammika Vitanage, Corinna Doolan, Lucinda Maunsell, Bronwyn Cameron, Fang Chen, Yang Wang, Zhidong Li

Water e-Journal, 2017

Structural Health Monitoring in the Sydney Harbour Bridge Using Spectral Moments

Mehrisadat Makki Alamdari, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Hamed Kalhori, Jun Li

International Conference on Structural Health Monitoring of Intelligent Infrastructure, 2017

Detection and Separation of Smoke From Single Image Frames

Hongda Tian, Wanqing Li, Philip O. Ogunbona, Lei Wang

IEEE Transactions on Image Processing, 2017

Smart Infrastructure Maintenance Using Incremental Tensor Analysis

Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang

2017 ACM on Conference on Information and Knowledge Management, 2017

Self-advised Incremental One-Class Support Vector Machines: An Application in Structural Health Monitoring

Ali Anaissi, Nguyen Lu Dang Khoa, Thierry Rakotoarivelo, Mehri Makki Alamdari, Yang Wang

International Conference on Neural Information Processing, 2017

Unsupervised Matrix-valued Kernel Learning For One Class Classification

Shaobo Dang, Xiongcai Cai, Yuhuai Wang, Jianjia Zhang, Fang Chen

ACM Conference on Information and Knowledge Management, 2017

Interaction Point Processes via Infinite Branching Model

Peng Lin, Bang Zhang, Ting Guo, Yang Wang, Fang Chen

AAAI Conference on Artificial Intelligence, 2017

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process

Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen

International Joint Conference on Artificial Intelligence, 2017

Specificity and Latent Correlation Learning for Action Recognition Using Synthetic Multi-View Data From Depth Maps

Bin Liang, Lihong Zheng

IEEE Transactions on Image Processing, 2017

DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support

Ling Luo, Wei Liu, Irena Koprinska, Fang Chen

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXII, 2017

Predictive Analytics Toolkit for H2S Estimation and Sewer Corrosion

Bin Li, Xuhui Fan, Jianjia Zhang, Yuhuai Wang, Feixiong Chen, Sarath Kodagoda, Terence Wells, Louisa Vorreiter, Dammika Vitanage, Gino Iori, Dave Cunningham, Tao Chen

Ozwater, 2017

Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring

Ali Anaissi, Nguyen Lu Dang Khoa, Samir Mustapha, Mehrisadat Makki Alamdari, Ali Braytee, Yang Wang, Fang Chen

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2017

A Spectral-Based Clustering for Structural Health Monitoring of the Sydney Harbour Bridge

Mehrisadat Makki Alamdari, Thierry Rakotoarivelo, Nguyen Lu Dang Khoa

Mechanical Systems and Signal Processing, 2017

Combining Structured Node Content and Topology Information for Networked Graph Clustering

Ting Guo, Jia Wu, Xingquan Zhu, Chengqi Zhang

ACM Transactions on Knowledge Discovery from Data, 2017

Structural condition assessment using entropy-based time series analysis

Mehrisadat Makki Alamdari, Bijan Samali, Jianchun Li, Ye Lu, Samir Mustapha

Journal of Intelligent Material Systems and Structures, 2017

On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data

Prasad Cheema, Nguyen Lu Dang Khoa, Mehrisadat Makki Alamdari, Wei Liu, Yang Wang, Fang Chen, Peter Runcie

ACM International on Conference on Information and Knowledge Management, 2016

Discovering Temporal Purchase Patterns with Different Responses to Promotions

Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen

ACM International on Conference on Information and Knowledge Management, 2016

Bayesian Optimization of Partition Layouts for Mondrian Processes

Yi Wang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen

International Joint Conference on Artificial Intelligence, 2016

Spectral-Based Damage Identification in Structures under Ambient Vibration

Mehrisadat Makki Alamdari, Bijan Samali, Jianchun Li, Hamed Kalhori, Samir Mustapha

Journal of Computing in Civil Engineering, 2016

Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise

Yi Wang, Bin Li, Yang Wang, Fang Chen, Bang Zhang, Zhidong Li

Computer Vision and Image Understanding, 2016

The Ostomachion Process

Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen

AAAI Conference on Artificial Intelligence, 2016

Evaluation of Barely Visible Indentation Damage (BVID) in CF/EP Sandwich Composites Using Guided Wave Signals

Samir Mustapha, Lin Ye, Xingjian Dong, Mehrisadat Makki Alamdari

Mechanical Systems and Signal Processing, 2016

Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach

Peng Lin, Bang Zhang, Yi Wang, Zhidong Li, Bin Li, Yang Wang, Fang Chen

ACM International on Conference on Information and Knowledge Management, 2015

Metadata Dependent Mondrian Processes

Yi Wang, Bin Li, Yang Wang, Fang Chen

International Conference on Machine Learning, 2015

Paint Condition Assessment of Civil Structures Using Hyper-Spectral Imaging

Samir Mustapha, Cong Phuoc Huynh, Peter Runcie, Fatih Murat Porikli

Structural Health Monitoring of Intelligent Infrastructure, 2015

On Damage Identification in Civil Structures Using Tensor Analysis

Nguyen Lu Dang Khoa, Bang Zhang, Yang Wang, Wei Liu, Fang Chen, Samir Mustapha, Peter Runcie

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2015

Stable Learning in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning

Bang Zhang, Yi Wang, Yang Wang, Fang Chen

IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Dimensionality Reduction and Damage Detection Approaches in Structural Health Monitoring

Nguyen LD Khoa, Bang Zhang, Yang Wang, Fang Chen, Samir Mustapha

Structural Health Monitoring, 2014

Multilabel Image Classification Via High-Order Label Correlation Driven Active Learning

Bang Zhang, Yang Wang, Fang Chen

IEEE Transactions on Image Processing, 2014

Water Pipe Condition Assessment: A Hierarchical Beta Process Approach for Sparse Incident Data

Zhidong Li, Bang Zhang, Yang Wang, Fang Chen, Ronnie Taib, Vicky Whiffin, Yi Wang

Machine Learning, 2013

Mutual information-based method for selecting informative feature sets

Gunawan Herman, Bang Zhang, Yang Wang, Getian Ye, Fang Chen

Pattern Recognition, 2013

A weakly supervised approach for object detection based on Soft-Label Boosting

Weihong Wang, Yang Wang, Fang Chen, Arcot Sowmya

IEEE Workshop on Applications of Computer Vision, 2013

A Bayesian Non-Parametric Viewpoint to Visual Tracking

Yi Wang, Zhidong Li, Yang Wang, Fang Chen

IEEE Workshop on Applications of Computer Vision, 2013

Visual Tracking by Proto-Objects

Zhidong Li, Weihong Wang, Yang Wang, Fang Chen, Yi Wang

Pattern Recognition, 2013