Zhidong Li
Zhidong Li
Verified email at uts.edu.au
Cited by
Cited by
Water pipe condition assessment: a hierarchical beta process approach for sparse incident data
Z Li, B Zhang, Y Wang, F Chen, R Taib, V Whiffin, Y Wang
Machine learning 95 (1), 11-26, 2014
Indexing cognitive workload based on pupillary response under luminance and emotional changes
W Wang, Z Li, Y Wang, F Chen
Proceedings of the 2013 international conference on Intelligent user …, 2013
Making machine learning useable by revealing internal states update-a transparent approach
J Zhou, MA Khawaja, Z Li, J Sun, Y Wang, F Chen
International Journal of Computational Science and Engineering 13 (4), 378-389, 2016
The effect of stress on cognitive load measurement
D Conway, I Dick, Z Li, Y Wang, F Chen
IFIP Conference on Human-Computer Interaction, 659-666, 2013
Traffic density estimation with on-line SVM classifier
T Wassantachat, Z Li, J Chen, Y Wang, E Tan
2009 Sixth IEEE International Conference on Advanced Video and Signal Based …, 2009
Data driven water pipe failure prediction: A bayesian nonparametric approach
P Lin, B Zhang, Y Wang, Z Li, B Li, Y Wang, F Chen
Proceedings of the 24th ACM International on Conference on Information and …, 2015
On traffic density estimation with a boosted SVM classifier
Z Li, E Tan, J Chen, T Wassantachat
2008 Digital Image Computing: Techniques and Applications, 117-123, 2008
Visual tracking by proto-objects
Z Li, W Wang, Y Wang, F Chen, Y Wang
Pattern recognition 46 (8), 2187-2201, 2013
Vehicle detection and tracking with low-angle cameras
J Yang, Y Wang, A Sowmya, Z Li
2010 IEEE International Conference on Image Processing, 685-688, 2010
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking
Z Li, J Chen, NN Schraudolph
2008 19th International Conference on Pattern Recognition, 1-4, 2008
Effects of influence on user trust in predictive decision making
J Zhou, Z Li, H Hu, K Yu, F Chen, Z Li, Y Wang
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
End-user development for interactive data analytics: Uncertainty, correlation and user confidence
J Zhou, SZ Arshad, X Wang, Z Li, D Feng, F Chen
IEEE Transactions on Affective Computing 9 (3), 383-395, 2017
Feature fusion for vehicle detection and tracking with low-angle cameras
J Yang, Y Wang, A Sowmya, Z Li, B Zhang, J Xu
2011 IEEE Workshop on Applications of Computer Vision (WACV), 382-388, 2011
A machine learning framework for real-time traffic density detection
J Chen, TAN EVAN, Z Li
International Journal of Pattern Recognition and Artificial Intelligence 23 …, 2009
Physiological indicators for user trust in machine learning with influence enhanced fact-checking
J Zhou, H Hu, Z Li, K Yu, F Chen
International cross-domain conference for machine learning and knowledge …, 2019
Prioritising water pipes for condition assessment with data analytics
B Li, B Zhang, Z Li, Y Wang, F Chen, D Vitanage
Australia’s International Water Conference & Exhibition (OzWater), 2015
Evaluation of machine learning for predicting critical main failure.
VS Whiffin, C Crawley, Y Wang, Z Li, F Chen
Water Asset Management International 9 (4), 17-20, 2013
Saliency detection based on proto-objects and topic model
Z Li, J Xu, Y Wang, G Geers, J Yang
2011 IEEE Workshop on Applications of Computer Vision (WACV), 125-131, 2011
Affinity propagation feature clustering with application to vehicle detection and tracking in road traffic surveillance
J Yang, Y Wang, A Sowmya, B Zhang, J Xu, Z Li
2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010
Bayesian nonparametric method for infrastructure failure prediction
Z Li, Y Wang, F Chen
US Patent 10,402,738, 2019
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