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Works (49)

Fair Representation Learning with Unreliable Labels

Proceedings of The 26th International Conference on Artificial Intelligence and Statistics
2023 | Conference paper
URI:

https://proceedings.mlr.press/v206/zhang23g.html
Contributors: Zhang, Yixuan; Zhou, Feng; Li, Zhidong; Wang, Yang; Chen, Fang; Ruiz, Francisco; Dy, Jennifer; van de Meent, Jan-Willem
Source: Self-asserted source
Zhidong

Does a Compromise on Fairness Exist in Using AI Models?

AI 2022: Advances in Artificial Intelligence
2022 | Book chapter
DOI: 10.1007/978-3-031-22695-3_14
Part of ISBN: 9783031226946
Part of ISBN: 9783031226953
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Contributors: Jianlong Zhou; Zhidong Li; Chun Xiao; Fang Chen
Source: Self-asserted source
Zhidong

Machine Learning for Efficient Water Infrastructure Management

Humanity Driven AI
2022 | Book chapter
DOI: 10.1007/978-3-030-72188-6_3
Part of ISBN: 9783030721879
Part of ISBN: 9783030721886
Contributors: Zhidong Li; Bin Liang; Yang Wang
Source: Self-asserted source
Zhidong

Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series

Proceedings of the 30th ACM International Conference on Information & Knowledge Management
2021-10-26 | Conference paper
DOI: 10.1145/3459637.3481918
Source: Self-asserted source
Zhidong

Efficient inference for nonparametric hawkes processes using auxiliary latent variables

Journal of Machine Learning Research
2020 | Journal article
URI: http://hdl.handle.net/10453/145676
Source: Self-asserted source
Zhidong

Simultaneous Customer Segmentation and Behavior Discovery

International Conference on Neural Information Processing
2020 | Conference paper
Source: Self-asserted source
Zhidong

Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers

arXiv preprint arXiv:2006.03385
2020 | Journal article
Source: Self-asserted source
Zhidong

A conditional Bayesian delay propagation model for large-scale railway traffic networks

Australasian Transport Research Forum (ATRF), 41st, 2019, Canberra, ACT, Australia
2019 | Conference paper
Source: Self-asserted source
Zhidong

Effects of influence on user trust in predictive decision making

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
2019 | Conference paper
Source: Self-asserted source
Zhidong

Efficient EM-Variational Inference for Hawkes Process

arXiv preprint arXiv:1905.12251
2019 | Journal article
Source: Self-asserted source
Zhidong

Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence

International Conference on Neural Information Processing
2019 | Conference paper
Source: Self-asserted source
Zhidong

Fast Multi-resolution Segmentation for Nonstationary Hawkes Process Using Cumulants

arXiv preprint arXiv:1906.02438
2019 | Journal article
Source: Self-asserted source
Zhidong

Hawkes Process with Stochastic Triggering Kernel

Pacific-Asia Conference on Knowledge Discovery and Data Mining
2019 | Conference paper
Source: Self-asserted source
Zhidong

Multitask learning for sparse failure prediction

Pacific-Asia Conference on Knowledge Discovery and Data Mining
2019 | Conference paper
Source: Self-asserted source
Zhidong

Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking

International Cross-Domain Conference for Machine Learning and Knowledge Extraction
2019 | Conference paper
Source: Self-asserted source
Zhidong

Predicting Water Quality for the Woronora Delivery Network with Sparse Samples

2019 IEEE International Conference on Data Mining (ICDM)
2019 | Conference paper
Source: Self-asserted source
Zhidong

Recovering DTW Distance Between Noise Superposed NHPP

Pacific-Asia Conference on Knowledge Discovery and Data Mining
2019 | Conference paper
Source: Self-asserted source
Zhidong

Scalable Inference for Nonparametric Hawkes Process Using P$\backslash$'${$o$}$ lya-Gamma Augmentation

arXiv preprint arXiv:1910.13052
2019 | Journal article
Source: Self-asserted source
Zhidong

Bayesian nonparametric method for infrastructure failure prediction

2019-09 | Other
Source: Self-asserted source
Zhidong

Determining a health condition of a structure

2019-03 | Other
Source: Self-asserted source
Zhidong

A refined MISD algorithm based on Gaussian process regression

Pacific-Asia Conference on Knowledge Discovery and Data Mining
2018 | Conference paper
Source: Self-asserted source
Zhidong

Domain knowledge in predictive maintenance for water pipe failures

Human and machine learning
2018 | Book chapter
Source: Self-asserted source
Zhidong

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 | Conference paper
Source: Self-asserted source
Zhidong

End-user development for interactive data analytics: Uncertainty, correlation and user confidence

IEEE Transactions on Affective Computing
2017 | Journal article
Source: Self-asserted source
Zhidong

Making machine learning useable by revealing internal states update-a transparent approach

International Journal of Computational Science and Engineering
2016 | Journal article
Source: Self-asserted source
Zhidong

Data driven water pipe failure prediction: A bayesian nonparametric approach

Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
2015 | Conference paper
Source: Self-asserted source
Zhidong

Prioritising water pipes for condition assessment with data analytics

Australia’s International Water Conference & Exhibition (OzWater)
2015 | Conference paper
Source: Self-asserted source
Zhidong

Water pipe condition assessment: a hierarchical beta process approach for sparse incident data

Machine learning
2014 | Journal article
Source: Self-asserted source
Zhidong

A Bayesian Non-parametric Viewpoint to Visual Tracking

WACV
2013 | Conference paper
Source: Self-asserted source
Zhidong

Evaluation of machine learning for predicting critical main failure.

Water Asset Management International
2013 | Journal article
Source: Self-asserted source
Zhidong

Indexing cognitive workload based on pupillary response under luminance and emotional changes

Proceedings of the 2013 international conference on Intelligent user interfaces
2013 | Conference paper
Source: Self-asserted source
Zhidong

The effect of stress on cognitive load measurement

IFIP Conference on Human-Computer Interaction
2013 | Conference paper
Source: Self-asserted source
Zhidong

Visual tracking by proto-objects

Pattern recognition
2013 | Journal article
Source: Self-asserted source
Zhidong

Feature fusion for vehicle detection and tracking with low-angle cameras

2011 IEEE Workshop on Applications of Computer Vision (WACV)
2011 | Conference paper
Source: Self-asserted source
Zhidong

Saliency detection based on proto-objects and topic model

2011 IEEE Workshop on Applications of Computer Vision (WACV)
2011 | Conference paper
Source: Self-asserted source
Zhidong

Spatial-temporal affinity propagation for feature clustering with application to traffic video analysis

Computer Vision--ACCV 2010
2011 | Journal article
Source: Self-asserted source
Zhidong

Unsupervised moving object detection with on-line generalized hough transform

Computer Vision--ACCV 2010
2011 | Journal article
Source: Self-asserted source
Zhidong

Affinity propagation feature clustering with application to vehicle detection and tracking in road traffic surveillance

2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
2010 | Conference paper
Source: Self-asserted source
Zhidong

Image Topic Discovery with Saliency Detection.

BMVC
2010 | Conference paper
Source: Self-asserted source
Zhidong

Saliency based joint topic discovery for object categorization

2010 IEEE International Conference on Image Processing
2010 | Conference paper
Source: Self-asserted source
Zhidong

Vehicle detection and tracking with low-angle cameras

2010 IEEE International Conference on Image Processing
2010 | Conference paper
Source: Self-asserted source
Zhidong

A machine learning framework for real-time traffic density detection

International Journal of Pattern Recognition and Artificial Intelligence
2009 | Journal article
Source: Self-asserted source
Zhidong

Traffic density estimation with on-line SVM classifier

2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
2009 | Conference paper
Source: Self-asserted source
Zhidong

An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking

2008 19th International Conference on Pattern Recognition
2008 | Conference paper
Source: Self-asserted source
Zhidong

On semantic object detection with salient feature

International Symposium on Visual Computing
2008 | Conference paper
Source: Self-asserted source
Zhidong

On traffic density estimation with a boosted SVM classifier

2008 Digital Image Computing: Techniques and Applications
2008 | Conference paper
Source: Self-asserted source
Zhidong

Using stochastic gradient-descent scheme in appearance model based face tracking

2008 IEEE 10th Workshop on Multimedia Signal Processing
2008 | Conference paper
Source: Self-asserted source
Zhidong

Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction

Journal article
Source: Self-asserted source
Zhidong

Scalable Inference for Nonparametric Hawkes Process Using P{\textquoterightolya-Gamma Augmentation

Other
Source: Self-asserted source
Zhidong
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