[1] Liang Bai, Jiye Liang, Hangyuan Du, YikeGuo , An information-theoretical framework for cluster ensemble, IEEE Transactions on Knowledge and Data Engineering, 2019,31(8):1464-1477.

[2] Peng Zhang, Suge Wang, Deyu Li, Xiaoli Li. Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model, IEEE Transactions on Knowledge and Data Engineering.DOI: 10.1109/TKDE.2019.2922179

[3] Wei Wei, Jiye Liang, Information fusion in rough set theory : An overview, Information Fusion, 2019, 48:107-118.

[4] Jie Wang, Jiye Liang, WenpingZheng, Xingwang Zhao, Junfang Mu. Protein complex detection algorithm based on multiple topological characteristics in PPI networks. Information Sciences.2019, 489:78-92.

[5] Junfang Mu, WenpingZheng, Jie Wang, Jiye Liang, A novel edge rewiring strategy for tuning structural properties in networks,Knowledge-Based Systems, 2019,177:55-67.

[6] Xingwang Zhao, Jiye Liang, ChuangyinDang,A stratified sampling based clustering algorithm for large-scale data,Knowledge-Based Systems,2019,163:416–428.

[7] Wei Wei,PengSong,Jiye Liang, Xiaoying Wu, Accelerating incremental attribute reduction algorithm by compacting a decision table,International Journal of Machine Learning and Cybernetics,2019,10(9):2355-2373.

[8] YunshengSong,JiyeLiang,Feng Wang, An accelerator for support vector machines based on the local geometrical information and data partition,International Journal of Machine Learning and Cybernetics,2019, 10:2389–2400

[9] 李飞江, 钱宇华, 王婕婷, 梁吉业, 王文剑. 基于样本稳定性的聚类方法. 中国科学: 信息科学, DOI: 10.1360/SSI-2019-0110.

[10] 王智强, 梁吉业, 李茹. 基于信息融合的概率矩阵分解链路预测方法. 计算机研究与发展, 2019, 056(002):306-318.

[11] 郭亚庆, 王文剑, 苏美红. 一种针对异常点的自适应回归特征选择方法. 计算机研究与发展, 2019, 56(8):1695-1707.

[12] 郑文萍, 车晨浩, 钱宇华, 王杰, 杨贵. 一种基于节点间路径度量的图聚类算法. 计算机学报, 2019.