Jing Zhang
Title
Cited by
Cited by
Year
Learning from crowdsourced labeled data: a survey
J Zhang, X Wu, VS Sheng
Artificial Intelligence Review 46 (4), 543-576, 2016
642016
A distributed cache for hadoop distributed file system in real-time cloud services
J Zhang, G Wu, X Hu, X Wu
2012 ACM/IEEE 13th International Conference on Grid Computing, 12-21, 2012
642012
Active learning with imbalanced multiple noisy labeling
J Zhang, X Wu, VS Shengs
IEEE transactions on cybernetics 45 (5), 1095-1107, 2015
532015
Multi-class ground truth inference in crowdsourcing with clustering
J Zhang, VS Sheng, J Wu, X Wu
IEEE Transactions on Knowledge and Data Engineering 28 (4), 1080-1085, 2015
432015
A novel data-driven stock price trend prediction system
J Zhang, S Cui, Y Xu, Q Li, T Li
Expert Systems with Applications 97, 60-69, 2018
382018
Multi-label active learning for image classification
J Wu, VS Sheng, J Zhang, P Zhao, Z Cui
2014 IEEE International Conference on Image Processing (ICIP), 5227-5231, 2014
342014
Imbalanced multiple noisy labeling
J Zhang, X Wu, VS Sheng
IEEE Transactions on Knowledge and Data Engineering 27 (2), 489-503, 2015
332015
Improving crowdsourced label quality using noise correction
J Zhang, VS Sheng, T Li, X Wu
IEEE transactions on neural networks and learning systems 29 (5), 1675-1688, 2017
292017
Consensus algorithms for biased labeling in crowdsourcing
J Zhang, VS Sheng, Q Li, J Wu, X Wu
Information Sciences 382, 254-273, 2017
212017
AITSteg: An Innovative Text Steganography Technique for Hidden Transmission of Text Message via Social Media
MT Ahvanooey, Q Li, J Hou, HD Mazraeh, J Zhang
IEEE Access 6, 65981-65995, 2018
202018
Weak-labeled active learning with conditional label dependence for multilabel image classification
J Wu, S Zhao, VS Sheng, J Zhang, C Ye, P Zhao, Z Cui
IEEE Transactions on Multimedia 19 (6), 1156-1169, 2017
192017
Label noise correction and application in crowdsourcing
B Nicholson, VS Sheng, J Zhang
Expert Systems with Applications 66, 149-162, 2016
192016
Label noise correction methods
B Nicholson, J Zhang, VS Sheng, Z Wang
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
162015
Active learning with label correlation exploration for multi-label image classification
J Wu, C Ye, VS Sheng, J Zhang, P Zhao, Z Cui
IET Computer Vision 11 (7), 577-584, 2017
142017
Multi-Label Inference for Crowdsourcing
J Zhang, X Wu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
132018
Safety Risk Monitoring of Cyber-Physical Power Systems Based on Ensemble Learning Algorithm
Q Li, S Meng, S Zhang, M Wu, J Zhang, MT Ahvanooey, MS Aslam
IEEE Access 7, 24788-24805, 2019
122019
Majority Voting and Pairing with Multiple Noisy Labeling
V Sheng, J Zhang, B Gu, X Wu
IEEE Transactions on Knowledge and Data Engineering, 2017
122017
CAD: Command-Level Anomaly Detection for Vehicle-Road Collaborative Charging Network
Q Li, S Meng, S Wang, J Zhang, J Hou
IEEE Access 7, 34910-34924, 2019
112019
Improving label quality in crowdsourcing using noise correction
J Zhang, VS Sheng, J Wu, X Fu, X Wu
Proceedings of the 24th ACM International on Conference on Information and …, 2015
112015
Ceka: a tool for mining the wisdom of crowds
J Zhang, VS Sheng, BA Nicholson, X Wu
The Journal of Machine Learning Research 16 (1), 2853-2858, 2015
102015
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Articles 1–20