科研成果 | 代表性成果: Peng Zhou, Xuegang Hu, Peipei Li, Xindong Wu. Online feature selection for high-dimensional class-imbalanced data. Knowledge-Based Systems, 2017, 136:187-199. Peng Zhou, Xuegang Hu, Peipei Li. A New Online Feature Selection Method Using Neighborhood Rough Set. IEEE International Conference on Big Knowledge, 2017.8.9-8.10. Xuegang Hu, Peng Zhou, Peipei Li, Jing Wang, Xindong Wu. A survey on online feature selection with streaming features. Frontiers of Computer Science, 2018, 12 (3): 479-493. Peng Zhou, Xuegang Hu, Peipei Li, Xindong Wu. Online Streaming Feature Selection Using Adapted Neighborhood Rough Set. Information Sciences, 2019, 481: 258-279. Peng Zhou, Xuegang Hu, Peipei Li, Xindong Wu. OFS-Density: A novel online streaming feature selection method, Pattern Recognition, 2019, 86:48-61. Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou and Xu Jiang, "Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest," 2019 IEEE International Conference on Data Mining (ICDM), Beijing, China, 2019, pp. 1540-1545, doi: 10.1109/ICDM.2019.00204. Shaojing Sheng, Peng Zhou and Xindong Wu, "CEPV: A Tree Structure Information Extraction and Visualization Tool for Big Knowledge Graph," 2019 IEEE International Conference on Big Knowledge (ICBK), Beijing, China, 2019, pp. 221-228, doi: 10.1109/ICBK.2019.00037. 吴信东,李娇,周鹏,卜晨阳.碎片化家谱数据的融合技术, 软件学报, DOI:10.13328/j.cnki.jos.006010.
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