[1] Fuyuan Cao, Joshua Zhexue Huang, Jiye Liang. A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes, Applied Mathematics and Computation, 2017, 295:1–15.

[2] Yuhua Qian, Honghong Cheng, Jieting Wang, Jiye Liang, Witold Pedrycz, Chuangyin Dang. Grouping granular structures in human granulation intelligence, Information Sciences, 2017, 382-383:150–169.

[3] Feijiang Li, Yuhua Qian, Jieting Wang, Jiye Liang. Multigranulation information fusion: A Dempster-Shafer evidence theory-based clustering ensemble method, Information Sciences, 2017, 378:389–409.

[4] Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo. Fast graph clustering with a new description model for community detection, Information Sciences, 2017, 388-389:37–47.

[5] Qian Chen, Xin Guo, Hexiang Bai. Semantic-based topic detection using Markov decision processes, Neurocomputing, 2017, 24:40–50.

[6] Yunsheng Song, Jiye Liang, Jing Lu, Xingwang Zhao. An efficient instance selection algorithm for k nearest neighbor regression, Neurocomputing, 2017, 251:26-34.

[7] Gaoxia Jiang, Wenjian Wang. Error estimation based on variance analysis of k-fold cross-validation, Pattern Recognition, 2017, 69:94-106.

[8] Fuyuan Cao, Liqin Yu, Joshua Zhexue Huang, Jiye Liang. k-mw-modes: an algorithm for clustering categorical matrix-object data, Applied Soft Computing, 2017, 57:605-614.

[9] Xingwang Zhao, Jiye Liang, Chuangyin Dang. Clustering ensemble selection for categorical data based on internal validity indices, Pattern Recognition, 2017, 69:150–168.

[10] Yuhua Qian, Xinyan Liang, Guoping Lin, Qian Guo, Jiye Liang. Local multigranulation decision-theoretic rough sets, International Journal of Approximate Reasoning, 2017, 82:119-137.

[11] Yuhua Qian, Yebin Li, Min Zhang, Guoshuai Ma, Furong Lu. Quantifying edge significance on maintaining global connectivity, Scientific Reports, 2017, 10.1038/srep45380.

[12] Ruixia Zhang, Deyu Li. Rumor propagation on networks with community structure, Physica A: Statistical Mechanics and its Applications, 2017, 483:375–385.

[13] Jifang Pang, Jiye Liang, Peng Song. An adaptive consensus method for multi-attribute group decision making under uncertain linguistic environment, Applied Soft Computing, 2017, 58:339-353.

[14] Liang Bai, Xueqi Chen, Jiye Liang, Huawei Shen, Yike Guo. Fast density clustering strategies based on the k-means algorithm, Pattern Recognition, 2017, 71:375–386.

[15] Hang Xu, Wenjian Wang, Yuhua Qian. Fusing complete monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10):2223-2235.

[16] Lifang Ren, Wenjian Wang, Hang Xu. A Reinforcement Learning Method for Constraint-Satisfied Services Composition, IEEE Transactions on Services Computing, 2017, 10.1109/TSC.2017.2727050.

[17] JianLiao, Suge Wang, Deyu Li, Xiaoli Li. FREERL: Fusion relation embedded representation learning framework for aspect extraction, Knowledge-Based Systems, 2017, 10.1016/j.knosys.2017.07.015.

[18] Xiaoqiang Guan, Jiye Liang, Yuhua Qian, Jifang Pang. A multi-view OVA model based on decision tree for multi-classification tasks, Knowledge-Based Systems, 2017, 138:208–219.

[19] Jie Wang, Wenping Zheng, Yuhua Qian, Jiye Liang. A seed expansion graph clustering method for protein complexes detection in protein interaction networks, Molecules, 2017, 22:2179.

[20] 杨贵, 郑文萍, 王文剑, 张浩杰. 一种加权稠密子图社区发现算法, 软件学报, 2017, 28(11):3103?3114.

[21] 冀庆斌, 康 茜, 李德玉, 王素格. 基于桥系数的分裂社区检测算法研究, 中文信息学报, 2017, 31(3):205-212.

[22] 许行, 王文剑, 任丽芳. 一种基于决策森林的单调分类方法, 计算机研究与发展, 2017, 54(7):1477-1487.

[23] 杜航远, 王文剑, 白亮. 一种基于优化模型的演化数据流聚类方法, 中国科学(E辑:信息科学), 2017, 10.1360/N112017-00107.