| Learning from crowdsourced labeled data: a survey J Zhang, X Wu, VS Sheng Artificial Intelligence Review 46 (4), 543-576, 2016 | 209 | 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 | 188 | 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 | 140 | 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 | 121 | 2017 |
| 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 | 118 | 2016 |
| Active learning with imbalanced multiple noisy labeling J Zhang, X Wu, VS Shengs IEEE transactions on cybernetics 45 (5), 1095-1107, 2015 | 108 | 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 | 97 | 2020 |
| 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 | 95 | 2012 |
| Imbalanced multiple noisy labeling J Zhang, X Wu, VS Sheng IEEE Transactions on Knowledge and Data Engineering 27 (2), 489-503, 2015 | 85 | 2015 |
| 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 | 79 | 2017 |
| 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 | 74 | 2021 |
| 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 | 74 | 2018 |
| 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 | 71 | 2020 |
| Label noise correction and application in crowdsourcing B Nicholson, VS Sheng, J Zhang Expert Systems with Applications 66, 149-162, 2016 | 70 | 2016 |
| 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 | 58 | 2014 |
| 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 | 56 | 2020 |
| 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 | 52 | 2015 |
| 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 | 49 | 2019 |
| Consensus algorithms for biased labeling in crowdsourcing J Zhang, VS Sheng, Q Li, J Wu, X Wu Information Sciences 382, 254-273, 2017 | 46 | 2017 |
| Multi-Label Inference for Crowdsourcing J Zhang, X Wu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 45 | 2018 |
Victor S. ShengProfessor of Computer Science, Texas Tech UniversityBestätigte E-Mail-Adresse bei ttu.edu