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, 11-26, 2014 | 90 | 2014 |
Measurable decision making with GSR and pupillary analysis for intelligent user interface J Zhou, J Sun, F Chen, Y Wang, R Taib, A Khawaji, Z Li ACM Transactions on Computer-Human Interaction (ToCHI) 21 (6), 1-23, 2015 | 72 | 2015 |
The effect of stress on cognitive load measurement D Conway, I Dick, Z Li, Y Wang, F Chen Human-Computer Interaction–INTERACT 2013: 14th IFIP TC 13 International …, 2013 | 68 | 2013 |
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 | 58 | 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 | 55 | 2016 |
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 | 41 | 2019 |
Physiological indicators for user trust in machine learning with influence enhanced fact-checking J Zhou, H Hu, Z Li, K Yu, F Chen Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4 …, 2019 | 36 | 2019 |
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 | 26 | 2009 |
Efficient inference for nonparametric hawkes processes using auxiliary latent variables F Zhou, Z Li, X Fan, Y Wang, A Sowmya, F Chen Journal of Machine Learning Research 21 (241), 1-31, 2020 | 25 | 2020 |
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 | 24 | 2015 |
Efficient EM-variational inference for nonparametric Hawkes process F Zhou, S Luo, Z Li, X Fan, Y Wang, A Sowmya, F Chen Statistics and Computing 31 (4), 46, 2021 | 17 | 2021 |
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 | 16 | 2010 |
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 | 16 | 2008 |
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 | 15 | 2017 |
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 | 15 | 2008 |
Visual tracking by proto-objects Z Li, W Wang, Y Wang, F Chen, Y Wang Pattern recognition 46 (8), 2187-2201, 2013 | 14 | 2013 |
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 | 12 | 2009 |
Transparent machine learning—revealing internal states of machine learning J Zhou, Z Li, Y Wang, F Chen Proceedings of IUI2013 Workshop on Interactive Machine Learning, 1-3, 2013 | 11 | 2013 |
Long-term RNN: Predicting hazard function for proactive maintenance of water mains B Liang, Z Li, Y Wang, F Chen Proceedings of the 27th acm international conference on information and …, 2018 | 10 | 2018 |
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 | 10 | 2011 |