[1]      Yanli Sang,Jiye Liang,Yuhua Qian. Decision-theoreticroughsetsunderdynamicgranulation, Knowledge-Based Systems, 2016, 91:84-92.点击阅览

[2]      GuopingLin,Jiye Liang,Yuhua Qian,JinjinLi. A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems, Knowledge-Based Systems, 2016, 91:102-113.点击阅览

[3]      Hexiang Bai,Deyu Li,Yong Ge,JinfengWang. Detecting nominal variables spatial associations using conditional probabilities of neighboring surface objects categories, Information Sciences, 2016, 329:701-718.点击阅览

[4]      Yinfeng Meng,Jiye Liang,Yuhua Qian. Comparison study of orthonormal representations of functional data in classification, Knowledge-Based Systems, 2016, 97:224–236.点击阅览

[5]      Feng Wang,Jiye Liang. An efficient feature selection algorithm for hybrid data, Neurocomputing, 2016, 193:33–41.点击阅览

[6]      Wei Wei,Junbiao Cui,Jiye Liang,Junhong Wang. Fuzzy rough approximations for set-valued data, Information Sciences, 2016, 360:181–201.点击阅览

[7]      Juan Lu,Deyu Li,Yanhui Zhai,Hua Li,Hexiang Bai. A model for type-2 fuzzy rough sets, Information Sciences, 2016, 328:359-377.点击阅览

[8]      Hua Li,Deyu Li,Yanhui Zhai,Suge Wang,Jing Zhang. A novel attribute reduction approach for multi-label data based on rough set theory, Information Sciences, 2016, in press.点击阅览

[9]      Liang Bai,Xueqi Cheng,Jiye Liang,Huawei Shen. An optimization model for clustering categorical data streams with drifting concepts, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11):2871-2883.点击阅览

[10]      Husheng Guo,Wenjian Wang. Support vector machine based on hierarchical and dynamical granulation, Neurocomputing, 2016, 211:22–33.点击阅览

[11]      Shuliang Xu,Junhong Wang. A fast incremental extreme learning machine algorithm for data streams classification, Expert Systems with Applications, 2016, 65:332–344.点击阅览

[12]      Yuhua Qian,Feijiang Li,Jiye Liang,Bing Liu,Chuangyin Dang. Space structure and clustering of categorical data, IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(10):2047-2059.

[13]      Gaoxia Jiang,Wenjian Wang. Markov cross-validation for time series model evaluations, Information Sciences, 2016, in press.点击阅览

[14]      Xuefei Bai,Wenjian Wang. Principal pixel analysis and SVM for automatic image segmentation, Neural Computing and Applications, 2016, 27(1):45–58.点击阅览

[15]      Peng Zhang,Suge Wang,Deyu Li. Cross-lingual sentiment classification: Similarity discovery plus training data adjustment, Knowledge-Based Systems, 2016, 107:129–141.点击阅览

[16]      Zhiqiang Wang,Jiye Liang,Ru Li,Yuhua Qian. An approach to cold-start link prediction:establishing connections between non-topological and topological information, IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11):2857- 2870.点击阅览

[17]      史倩玉,梁吉业,赵兴旺. 一种不完备混合数据集成聚类算法, 计算机研究与发展, 2016, 53(9):1979-1989.点击阅览

[18]      任丽芳,王文剑,许行. 不确定感知的自适应云计算服务组合, 计算机研究与发展, 2016, 53(12):2867-2881.点击阅览

[19]      梁吉业,钱宇华,李德玉,胡清华. 面向大数据的粒计算理论与方法研究进展, 大数据, 2016, 4:13-23.点击阅览

[20]      梁吉业,冯晨娇,宋鹏. 大数据相关分析综述, 计算机学报, 2016, 39(1):1-18. 点击阅览

[21]      赵兴旺,梁吉业. 一种基于信息熵的混合数据属性加权聚类算法, 计算机研究与发展, 2016, 53(5):1018-1028.点击阅览

[22]      王智强,李茹,梁吉业,张旭华,武娟, 苏娜. 基于汉语篇章框架语义分析的阅读理解问答研究, 计算机学报, 2016, 39(4):795-807.点击阅览