Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition. T Han, H Sun, Y Song, Y Fang, X Liu IJCAI 2016, 1541-1547, 2016 | 24 | 2016 |
Combining machine learning and crowdsourcing for better understanding commodity reviews H Wu, H Sun, Y Fang, K Hu, Y Xie, Y Song, X Liu Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 22 | 2015 |
Improving the quality of crowdsourced image labeling via label similarity YL Fang, HL Sun, PP Chen, T Deng Journal of Computer Science and Technology 32, 877-889, 2017 | 21 | 2017 |
Harshness-aware sentiment mining framework for product review X Wang, T Zhou, X Wang, Y Fang Expert Systems with Applications 187, 115887, 2022 | 20 | 2022 |
Collusion-proof result inference in crowdsourcing PP Chen, HL Sun, YL Fang, JP Huai Journal of Computer Science and Technology 33, 351-365, 2018 | 18 | 2018 |
Effective result inference for context-sensitive tasks in crowdsourcing Y Fang, H Sun, G Li, R Zhang, J Huai International Conference on Database Systems for Advanced Applications, 33-48, 2016 | 16 | 2016 |
Context-aware result inference in crowdsourcing Y Fang, H Sun, G Li, R Zhang, J Huai Information Sciences 460, 346-363, 2018 | 14 | 2018 |
CONAN: A framework for detecting and handling collusion in crowdsourcing P Chen, H Sun, Y Fang, X Liu Information Sciences 515, 44-63, 2020 | 12 | 2020 |
Find truth in the hands of the few: acquiring specific knowledge with crowdsourcing T Han, H Sun, Y Song, Y Fang, X Liu Frontiers of Computer Science 15, 1-12, 2021 | 11 | 2021 |
On the Cost Complexity of Crowdsourcing. Y Fang, H Sun, P Chen, J Huai IJCAI, 1531-1537, 2018 | 11 | 2018 |
Hint: harnessing the wisdom of crowds for handling multi-phase tasks Y Fang, P Chen, T Han Neural Computing and Applications 35 (31), 22911-22933, 2023 | 10 | 2023 |
A model for aggregating contributions of synergistic crowdsourcing workflows Y Fang, H Sun, R Zhang, J Huai, Y Mao Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 7 | 2014 |
An approach for combining multimodal fusion and neural architecture search applied to knowledge tracing X Ding, T Han, Y Fang, E Larson Applied Intelligence 53 (9), 11092-11103, 2023 | 5 | 2023 |
ExCrowd: A blockchain framework for exploration-based crowdsourcing SL Kodjiku, Y Fang, T Han, KO Asamoah, ESEB Aggrey, C Sey, E Aidoo, ... Applied Sciences 12 (13), 6732, 2022 | 5 | 2022 |
Adaptive result inference for collecting quantitative data with crowdsourcing H Sun, K Hu, Y Fang, Y Song IEEE Internet of Things Journal 4 (5), 1389-1398, 2017 | 5 | 2017 |
A decision tree based quality control framework for multi-phase tasks in crowdsourcing Y Fang, P Chen, K Sun, H Sun Proceedings of the 12th Chinese Conference on Computer Supported Cooperative …, 2017 | 3 | 2017 |
An ASP based method for subassembly identification LZ Zhao, WZ Liao, YL Fang, JY Qian, CW Zeng 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1317 …, 2009 | 3 | 2009 |
WQCrowd: Secure blockchain-based crowdsourcing framework with multi-tier worker quality evaluation SL Kodjiku, T Han, Y Fang, ESEB Aggrey, C Sey, KO Asamoah, ... Journal of King Saud University-Computer and Information Sciences 35 (10 …, 2023 | 1 | 2023 |
Geometrically interpretable Variance Hyper Rectangle learning for pattern classification J Sun, H Gu, H Peng, Y Fang, X Wang Engineering Applications of Artificial Intelligence 116, 105494, 2022 | 1 | 2022 |
Incorporating Feature Labeling into Crowdsourcing for More Accurate Aggregation Labels Y Fang, Z Pei, X Ding, W Xu, T Han International Conference on Collaborative Computing: Networking …, 2022 | 1 | 2022 |