论文成果信息请参见:DBLP、ResearchGate、Scopus
Selected Publications
2024
[1] Damo Qian, Keyu Liu*, Shiming Zhang, Xibei Yang. Semi-supervised feature selection by minimum neighborhood redundancy and maximum neighborhood relevancy, Applied Intelligence, 54: 7750-7764, 2024. [Link]
[2] Qihang Guo, Keyu Liu, Taihua Xu, Pingxin Wang, Xibei Yang. Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction, Expert Systems with Applications, 255: 124600, 2024.
[3] Tengyu Yin, Hongmei Chen, Zhihong Wang, Keyu Liu, Zhong Yuan, Shi-Jinn Horng, Tianrui Li. Feature selection for multilabel classification with missing labels via multi-scale fusion fuzzy uncertainty measures, Pattern Recognition, 154: 110580, 2024.
[4] Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang. BiFuG2-Spark: Bi-directional fuzzy granular-cabin parallel attribute reduction accelerator with granular-group collaboration, IEEE Transactions on Fuzzy Systems, 32(8): 4234-4247, 2024.
[5] Zhixuan Deng, Tianrui Li, Dayong Deng, Keyu Liu, Zhipeng Luo, Pengfei Zhang. Feature selection for handling label ambiguity using weighted label-fuzzy relevancy and redundancy, IEEE Transactions on Fuzzy Systems, 32(8): 4436-4447, 2024.
[6] Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Keyu Liu, Xiaoling Yang. Heterogeneous feature selection based on neighborhood combination entropy, IEEE Transactions on Neural Networks and Learning Systems, 35(3): 3514-3527, 2024.
2023
[1] Keyu Liu, Tianrui Li, Xibei Yang, Hongmei Chen, Jie Wang, Zhixuan Deng. SemiFREE: Semisupervised feature selection with fuzzy relevance and redundancy, IEEE Transactions on Fuzzy Systems, 31(10): 3384-3396, 2023.
[2] Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu. Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity, Applied Soft Computing, 146: 110679, 2023.
2022
[1] Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu, Pengfei Zhang, Jie Wang. Granular cabin: An efficient solution to neighborhood learning in big data, Information Sciences, 583: 189-201, 2022.
[2] Keyu Liu, Tianrui Li, Xibei Yang, Xin Yang, Dun Liu: Neighborhood rough set based ensemble feature selection with cross-class sample granulation, Applied Soft Computing, 131: 109747, 2022.
[3] Keyu Liu, Tianrui Li, Xibei Yang, Hengrong Ju, Xin Yang, Dun Liu. Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization, International Journal of Approximate Reasoning, 148: 57-67, 2022.
2021
[1] Zehua Jiang, Keyu Liu, Jingjing Song, Xibei Yang, Jinhai Li, Yuhua Qian. Accelerator for crosswise computing reduct, Applied Soft Computing, 98: 106740, 2021.
[2] Xin Yang, Dun Liu, Xibei Yang, Keyu Liu, Tianrui Li. Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations, Information Sciences, 550: 71-90, 2021.
[3] Zhong Yuan, Hongmei Chen, Xiaoling Yang, Tianrui Li, Keyu Liu. Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction, Knowledge-Based Systems, 231: 107398, 2021.
2020
[1] Keyu Liu, Xibei Yang, Hualong Yu, Hamido Fujita, Xiangjian Chen, Dun Liu. Supervised information granulation strategy for attribute reduction, International Journal of Machine Learning and Cybernetics, 11: 2149-2163, 2020.
2019
[1] Keyu Liu, Xibei Yang, Hamido Fujita, Dun Liu, Xin Yang, Yuhua Qian. An efficient selector for multi-granularity attribute reduction, Information Sciences, 505: 457-472, 2019.
[2] Keyu Liu, Xibei Yang, Hualong Yu, Jusheng Mi, Pingxin Wang, Xiangjian Chen. Rough set based semi-supervised feature selection via ensemble selector, Knowledge-Based Systems, 165: 282-296, 2019.