| A survey of genetic programming and its applications MT Ahvanooey, Q Li, M Wu, S Wang KSII Transactions on Internet and Information Systems (TIIS) 13 (4), 1765-1794, 2019 | 81 | 2019 |
| 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 | 46 | 2019 |
| Ensemble learning from crowds J Zhang, M Wu, VS Sheng IEEE Transactions on Knowledge and Data Engineering 31 (8), 1506-1519, 2018 | 31 | 2018 |
| A robust inference algorithm for crowd sourced categorization M Wu, Q Li, J Zhang, S Cui, D Li, Y Qi 2017 12th International Conference on Intelligent Systems and Knowledge …, 2017 | 11 | 2017 |
| Learning from biased crowdsourced labeling with deep clustering M Wu, Q Li, F Yang, J Zhang, VS Sheng, J Hou Expert Systems with Applications 211, 118608, 2023 | 7 | 2023 |
| Learning deep networks with crowdsourcing for relevance evaluation M Wu, X Yin, Q Li, J Zhang, X Feng, Q Cao, H Shen EURASIP Journal on Wireless Communications and Networking 2020, 1-11, 2020 | 5 | 2020 |
| A subjectivity-aware algorithm for label aggregation in crowdsourcing M Wu, Q Li, S Wang, J Hou 2019 IEEE International Conference on Computational Science and Engineering …, 2019 | 5 | 2019 |
| Simwalk: learning network latent representations with social relation similarity S Cui, B Xia, T Li, M Wu, D Li, Q Li, H Zhang 2017 12th International Conference on Intelligent Systems and Knowledge …, 2017 | 5 | 2017 |
| Multi-label active learning from crowds for secure IIoT M Wu, Q Li, M Bilal, X Xu, J Zhang, J Hou Ad Hoc Networks 121, 102594, 2021 | 3 | 2021 |
| Label Aggregation with Clustering for Biased Crowdsourced Labeling M Wu, Q Li, J Zhang, J Hou Proceedings of the 2022 14th International Conference on Machine Learning …, 2022 | 2 | 2022 |
| Learning from crowds with mutual correction-based co-training N Tian, M Wu, J Jiang, J Zhang 2022 IEEE International Conference on Knowledge Graph (ICKG), 257-264, 2022 | 1 | 2022 |
| Active crowdsourcing for multilabel annotation J Zhang, M Wu, C Zhou, VS Sheng IEEE Transactions on Neural Networks and Learning Systems, 2022 | 1 | 2022 |
| Privacy preserving techniques for decision trees X Liu, Q Li, T Li, M Wu International Journal of Information and Computer Security 16 (3-4), 255-271, 2021 | 1 | 2021 |
| Label noise correction for crowdsourcing using dynamic resampling J Zhang, X Jiang, N Tian, M Wu Engineering Applications of Artificial Intelligence 133, 108439, 2024 | | 2024 |
| Learning from Crowds Using Graph Neural Networks with Attention Mechanism J Zhang, M Wu, Z Sun, C Zhou IEEE Transactions on Big Data, 2024 | | 2024 |
| A Little Truth Injection but a Big Reward: Label Aggregation With Graph Neural Networks Z Ying, J Zhang, Q Li, M Wu, VS Sheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | | 2023 |
Qianmu LiNanjing University of Science and TechnologyVerified email at njust.edu.cn
