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[1]  Fuyuan Cao,Joshua Zhexue Hang,Jiye Liang,Xingwang Zhao,Yinfeng Meng. An Algorithm for Clustering Categorical Data with Set-valued Features, IEEE Transactions on Neural Networks and Learning Systems, 2018, (DOI:10.1109/TNNLS.2017.2770167).
[2]  Wei Wei,Xiaoying Wu,Jiye Liang,Junbiao Cui,Yijun Sun. Discernibility matrix based incremental attribute reduction for dynamic data, Knowledge-Based Systems, 2018, 140:142-157.
[3]  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.
[4]  Hang Xu,Wenjian Wang,Yuhua Qian. Fusing complete monotonic decision trees, IEEE Transactions on Knowledge and Data Engineering, 2017, 29(10):2223-2235.
[5]  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.
[6]  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.
[7]  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.
[8]  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.
[9]  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.
[10]  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.
[11]  Yunsheng Song,Jiye Liang,Jing Lu,Xingwang Zhao. An efficient instance selection algorithm for k nearest neighbor regression, Neurocomputing, 2017, 251:26-34.
[12]  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.
[13]  Xingwang Zhao,Jiye Liang,Chuangyin Dang. Clustering ensemble selection for categorical data based on internal validity indices, Pattern Recognition, 2017, 69:150–168.
[14]  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.
[15]  Yuhua Qian,Yebin Li,Min Zhang,Guoshuai Ma,Furong Lu. Quantifying edge significance on maintaining global connectivity, Scientific Reports, 2017, 10.1038/srep45380.
[16]  Ruixia Zhang,Deyu Li. Rumor propagation on networks with community structure, Physica A: Statistical Mechanics and its Applications, 2017, 483:375–385.
[17]  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.
[18]  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.
[19]  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.
[20]  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.