e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning. - Xiangjun Dong 001; Zhigang Zheng; Longbing Cao; Yanchang Zhao; Chengqi Zhang; Jinjiu Li; Wei Wei 039; Yuming Ou (CIKM, 2011)

Coupled nominal similarity in unsupervised learning. - Can Wang 004; Longbing Cao; Mingchun Wang; Jinjiu Li; Wei Wei 039; Yuming Ou (CIKM, 2011)

Model the complex dependence structures of financial variables by using canonical vine. - Wei Wei 039; Xuhui Fan 001; Jinyan Li 001; Longbing Cao (CIKM, 2012)

Efficiently Mining Top-K High Utility Sequential Patterns. - Junfu Yin; Zhigang Zheng; Longbing Cao; Yin Song; Wei Wei 039 (ICDM, 2013)

Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data. - Jinjiu Li; Can Wang 004; Wei Wei 039; Mu Li; Chunming Liu (PAKDD (1), 2013)

Optimal Allocation of High Dimensional Assets through Canonical Vines. - Wei Wei 039; Jinyan Li 001; Longbing Cao; Jingguang Sun; Chunming Liu; Mu Li (PAKDD (1), 2013)

Effective detection of sophisticated online banking fraud on extremely imbalanced data. - Wei Wei 039; Jinjiu Li; Longbing Cao; Yuming Ou; Jiahang Chen (World Wide Web, 2013)

Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine. - Wei Wei 039; Junfu Yin; Jinyan Li 001; Longbing Cao (SDM, 2014)

Copula-based high dimensional dependence modelling - Wei Wei 039 (2014)

An effective contrast sequential pattern mining approach to taxpayer behavior analysis. - Zhigang Zheng; Wei Wei 039; Chunming Liu; Wei Cao 012; Longbing Cao; Maninder Bhatia (World Wide Web, 2016)

Copula-Based High Dimensional Cross-Market Dependence Modeling. - Jia Xu; Wei Wei 039; Longbing Cao (DSAA, 2017)