| Active learning through density clustering M Wang, F Min, ZH Zhang, YX Wu Expert systems with applications 85, 305-317, 2017 | 123 | 2017 |
| Three-way active learning through clustering selection F Min, SM Zhang, D Ciucci, M Wang International Journal of Machine Learning and Cybernetics 11, 1033-1046, 2020 | 39 | 2020 |
| MiR-125 inhibited cervical cancer progression by regulating VEGF and PI3K/AKT signaling pathway K Fu, L Zhang, R Liu, Q Shi, X Li, M Wang World journal of surgical oncology 18, 1-10, 2020 | 34 | 2020 |
| Discovering patterns with weak-wildcard gaps CD Tan, F Min, M Wang, HR Zhang, ZH Zhang IEEE access 4, 4922-4932, 2016 | 27 | 2016 |
| Active learning through label error statistical methods M Wang, K Fu, F Min, X Jia Knowledge-Based Systems 189, 105140, 2020 | 26 | 2020 |
| Cost-sensitive active learning with a label uniform distribution model YX Wu, XY Min, F Min, M Wang International Journal of Approximate Reasoning 105, 49-65, 2019 | 23 | 2019 |
| Cost-sensitive active learning through statistical methods M Wang, Y Lin, F Min, D Liu Information Sciences 501, 460-482, 2019 | 20 | 2019 |
| Active learning through multi-standard optimization M Wang, YY Zhang, F Min IEEE Access 7, 56772-56784, 2019 | 17 | 2019 |
| A two-stage density clustering algorithm M Wang, YY Zhang, F Min, LP Deng, L Gao Soft Computing 24 (23), 17797-17819, 2020 | 8 | 2020 |
| Active learning through two-stage clustering M Wang, K Fu, F Min 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2018 | 8 | 2018 |
| Attribute and label distribution driven multi-label active learning M Wang, T Feng, Z Shan, F Min Applied Intelligence 52 (10), 11131-11146, 2022 | 6 | 2022 |
| Cost-sensitive active learning for incomplete data M Wang, C Yang, F Zhao, F Min, X Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (1), 405-416, 2022 | 6 | 2022 |
| Noise label learning through label confidence statistical inference M Wang, HT Yu, F Min Knowledge-Based Systems 227, 107234, 2021 | 5 | 2021 |
| Duck trampling in rice-duck farming alters rice growth and soil CH4 emissions. B Zhao, T Wen, J Zhang, W Tang, M Wang | 5 | 2019 |
| Open world long-tailed data classification through active distribution optimization M Wang, L Zhou, Q Li, A Zhang Expert Systems with Applications 213, 119054, 2023 | 4 | 2023 |
| High-performance UAVs visual tracking using deep convolutional feature S Yang, J Xu, H Chen, M Wang Neural Computing and Applications 34 (16), 13539-13558, 2022 | 3 | 2022 |
| The movement strategy of three-way decisions based on clustering Y Xu, M Wang, F Luo Information Sciences 625, 175-191, 2023 | 2 | 2023 |
| Fine-grained visual categorization: A spatial–frequency feature fusion perspective M Wang, P Zhao, X Lu, F Min, X Wang IEEE Transactions on Circuits and Systems for Video Technology, 2022 | 2 | 2022 |
| Multi-category active learning algorithm based on multiple clustering algorithms and multivariate linear regression M WANG, Y WU, F MIN Journal of Computer Applications 40 (12), 3437, 2020 | 1 | 2020 |
| Ensemble active imputation for incomplete data M Wang, B Li, F Min, J Liu, M Wang 2020 IEEE International Conference on Networking, Sensing and Control (ICNSC …, 2020 | 1 | 2020 |
Fan Min (闵帆)Professor of School of Computer Science, Southwest Petroleum UniversityVerified email at swpu.edu.cn
