Jing Zhang

According to our database1, Jing Zhang
  • authored at least 24 papers between 2009 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification.
IEEE Trans. Multimedia, 2017

Consensus algorithms for biased labeling in crowdsourcing.
Inf. Sci., 2017

Active learning with label correlation exploration for multi-label image classification.
IET Computer Vision, 2017

Label Aggregation for Crowdsourcing with Bi-Layer Clustering.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering.
IEEE Trans. Knowl. Data Eng., 2016

HDCache: A Distributed Cache System for Real-Time Cloud Services.
J. Grid Comput., 2016

Label noise correction and application in crowdsourcing.
Expert Syst. Appl., 2016

Learning from crowdsourced labeled data: a survey.
Artif. Intell. Rev., 2016

Equalized Interval Centroid Based Watermarking Scheme for Stepping Stone Traceback.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015
Imbalanced Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng., 2015

Active Learning With Imbalanced Multiple Noisy Labeling.
IEEE Trans. Cybernetics, 2015

CEKA: a tool for mining the wisdom of crowds.
Journal of Machine Learning Research, 2015

Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

Integrating Active Learning with Supervision for Crowdsourcing Generalization.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Noise correction of image labeling in crowdsourcing.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Label noise correction methods.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Improving Label Quality in Crowdsourcing Using Noise Correction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Multi-label active learning for image classification.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
A threshold method for imbalanced multiple noisy labeling.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Imbalanced Multiple Noisy Labeling for Supervised Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
A Distributed Cache for Hadoop Distributed File System in Real-Time Cloud Services.
Proceedings of the 13th ACM/IEEE International Conference on Grid Computing, 2012

2011
K-Means Clustering with Bagging and MapReduce.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

2010
A 2-Tier Clustering Algorithm with Map-Reduce.
Proceedings of the Fifth Annual ChinaGrid Conference, ChinaGrid 2010, Guangzhou, 2010

2009
MReC4.5: C4.5 Ensemble Classification with MapReduce.
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009


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