Jing Zhang
Jing Zhang
Professor of Computer Science, Southeast University
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Cited by
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Learning from crowdsourced labeled data: a survey
J Zhang, X Wu, VS Sheng
Artificial Intelligence Review 46 (4), 543-576, 2016
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
Machine learning with crowdsourcing: A brief summary of the past research and future directions
VS Sheng, J Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9837-9843, 2019
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
Active learning with imbalanced multiple noisy labeling
J Zhang, X Wu, VS Shengs
IEEE transactions on cybernetics 45 (5), 1095-1107, 2015
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, 2016
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
Imbalanced multiple noisy labeling
J Zhang, X Wu, VS Sheng
IEEE Transactions on Knowledge and Data Engineering 27 (2), 489-503, 2015
Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise
J Wu, VS Sheng, J Zhang, H Li, T Dadakova, CL Swisher, Z Cui, P Zhao
ACM Computing Surveys (CSUR) 53 (2), 1-35, 2020
Majority voting and pairing with multiple noisy labeling
VS Sheng, J Zhang, B Gu, X Wu
IEEE Transactions on Knowledge and Data Engineering 31 (7), 1355-1368, 2017
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
Label noise correction and application in crowdsourcing
B Nicholson, VS Sheng, J Zhang
Expert Systems with Applications 66, 149-162, 2016
ANiTW: A Novel Intelligent Text Watermarking technique for forensic identification of spurious information on social media
MT Ahvanooey, Q Li, X Zhu, M Alazab, J Zhang
Computers & Security 90, 101702, 2020
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
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
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering
Q Li, Y Song, J Zhang, VS Sheng
Expert Systems with Applications 147, 113152, 2020
Consensus algorithms for biased labeling in crowdsourcing
J Zhang, VS Sheng, Q Li, J Wu, X Wu
Information Sciences 382, 254-273, 2017
Multi-Label Inference for Crowdsourcing
J Zhang, X Wu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
CEKA: a tool for mining the wisdom of crowds.
J Zhang, VS Sheng, B Nicholson, X Wu
J. Mach. Learn. Res. 16 (1), 2853-2858, 2015
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function
J Su, Z Liu, J Zhang, VS Sheng, Y Song, Y Zhu, Y Liu
Knowledge-Based Systems 232, 107471, 2021
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