| Online feature selection for high-dimensional class-imbalanced data P Zhou, X Hu, P Li, X Wu Knowledge-Based Systems 136, 187-199, 2017 | 166 | 2017 |
| Online streaming feature selection using adapted neighborhood rough set P Zhou, X Hu, P Li, X Wu Information Sciences 481, 258-279, 2019 | 87 | 2019 |
| OFS-Density: A novel online streaming feature selection method P Zhou, X Hu, P Li, X Wu Pattern Recognition 86, 48-61, 2019 | 85 | 2019 |
| A survey on online feature selection with streaming features X Hu, P Zhou, P Li, J Wang, X Wu Frontiers of Computer Science 12, 479-493, 2018 | 76 | 2018 |
| Feature interaction for streaming feature selection P Zhou, P Li, S Zhao, X Wu IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4691-4702, 2020 | 64 | 2020 |
| Automatic knowledge graph construction: A report on the 2019 icdm/icbk contest X Wu, J Wu, X Fu, J Li, P Zhou, X Jiang 2019 IEEE International Conference on Data Mining (ICDM), 1540-1545, 2019 | 36 | 2019 |
| Online group streaming feature selection considering feature interaction P Zhou, N Wang, S Zhao Knowledge-Based Systems 226, 107157, 2021 | 33 | 2021 |
| CEPV: A tree structure information extraction and visualization tool for big knowledge graph S Sheng, P Zhou, X Wu 2019 IEEE International Conference on Big Knowledge (ICBK), 221-228, 2019 | 16 | 2019 |
| Online early terminated streaming feature selection based on rough set theory P Zhou, P Li, S Zhao, Y Zhang Applied Soft Computing 113, 107993, 2021 | 15 | 2021 |
| A new online feature selection method using neighborhood rough set P Zhou, X Hu, P Li 2017 IEEE International Conference on Big Knowledge (ICBK), 135-142, 2017 | 14 | 2017 |
| Online scalable streaming feature selection via dynamic decision P Zhou, S Zhao, Y Yan, X Wu ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (5), 1-20, 2022 | 11 | 2022 |
| General assembly framework for online streaming feature selection via Rough Set models P Zhou, Y Zhang, P Li, X Wu Expert Systems with Applications 204, 117520, 2022 | 7 | 2022 |
| Robust semi-supervised clustering via data transductive warping P Zhou, N Wang, S Zhao, Y Zhang Applied Intelligence 53 (2), 1254-1270, 2023 | 4 | 2023 |
| Unknown type streaming feature selection via maximal information coefficient P Zhou, Y Zhang, Y Yan, S Zhao 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 650-657, 2022 | 2 | 2022 |
| Difficult Novel Class Detection in Semisupervised Streaming Data P Zhou, N Wang, S Zhao, Y Zhang, X Wu IEEE Transactions on Neural Networks and Learning Systems 34 (10), 6872-6886, 2022 | 2 | 2022 |
| 碎片化家谱数据的融合技术 吴信东， 李娇， 周鹏， 卜晨阳 软件学报 32 (9), 2816-2836, 2020 | 2 | 2020 |
| Unsupervised technical phrase extraction by incorporating structure and position information P Zhou, X Jiang, S Zhao Expert Systems with Applications 245, 123140, 2024 | 1 | 2024 |
| An effective algorithm for genealogical graph partitioning S Sheng, Z Zhang, P Zhou, X Wu Applied Intelligence, 1-20, 2024 | | 2024 |
| Online Heterogeneous Streaming Feature Selection without Feature Type Information P Zhou, Y Zhang, Z Ling, Y Yan, S Zhao, X Wu IEEE Transactions on Big Data, 2024 | | 2024 |
| Balanced Tree Partitioning with Succinct Logic X Wu, S Sheng, P Zhou 2020 IEEE International Conference on Knowledge Graph (ICKG), 552-559, 2020 | | 2020 |
