Intelligent Analysis Model for Outsourced Software Project Risk Using Constraint-based Bayesian Network. - Yong Hu 002; Xizhu Mo; Xiangzhou Zhang; Yuran Zeng; Jianfeng Du; Kang Xie (J. Softw., 2012)

iTrade: An Adaptive Risk-Adjusted Intelligent Stock Trading System from the Perspective of Concept Drift. - Yong Hu 002; Bin Feng; Xiangzhou Zhang; Kang Liu 011; Kang Xie; Mei Liu (EIDWT, 2013)

A Prediction Model for Stock Market: A Comparison of The World's Top Investors with Data Mining Method. - Yong Hu 002; Bin Feng; Xiangzhou Zhang; Xin Ying Qiu; Risong Li; Kang Xie (WHICEB, 2013)

A Cost-sensitive Intelligent Prediction Model for Outsourced Software Project Risk. - Hongming Zhang; Bin Feng; Xizhu Mo; Lijun Su; Xiangzhou Zhang; Yong Hu 002 (WHICEB, 2013)

An integrative framework for intelligent software project risk planning. - Yong Hu 002; Jianfeng Du; Xiangzhou Zhang; Xiaoling Hao; E. W. T. Ngai; Ming Fan; Mei Liu (Decis. Support Syst., 2013)

Software project risk analysis using Bayesian networks with causality constraints. - Yong Hu 002; Xiangzhou Zhang; E. W. T. Ngai; Ruichu Cai; Mei Liu (Decis. Support Syst., 2013)

Discovering Many-to-One Causality in Software Project Risk Analysis. - Weiqi Chen; Kang Liu 011; Lijun Su; Mei Liu; Zhifeng Hao; Yong Hu 002; Xiangzhou Zhang (3PGCIC, 2014)

Concept Drift Mining of Fundamental Variables in China Stock Market. - Yong Hu 002; Kang Liu 011; Bin Feng; Lijun Su; Xiangzhou Zhang; Weiqi Chen; Yuran Zeng (3PGCIC, 2014)

A causal feature selection algorithm for stock prediction modeling. - Xiangzhou Zhang; Yong Hu 002; Kang Xie; Shouyang Wang; E. W. T. Ngai; Mei Liu (Neurocomputing, 2014)

Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review. - Yong Hu 002; Kang Liu 011; Xiangzhou Zhang; Lijun Su; E. W. T. Ngai; Mei Liu (Appl. Soft Comput., 2015)

Cost-sensitive and ensemble-based prediction model for outsourced software project risk prediction. - Yong Hu 002; Bin Feng; Xizhu Mo; Xiangzhou Zhang; E. W. T. Ngai; Ming Fan; Mei Liu (Decis. Support Syst., 2015)

Concept drift mining of portfolio selection factors in stock market. - Yong Hu 002; Kang Liu 011; Xiangzhou Zhang; Kang Xie; Weiqi Chen; Yuran Zeng; Mei Liu (Electron. Commer. Res. Appl., 2015)

Stock trading rule discovery with an evolutionary trend following model. - Yong Hu 002; Bin Feng; Xiangzhou Zhang; E. W. T. Ngai; Mei Liu (Expert Syst. Appl., 2015)

iTrade: A Mobile Data-Driven Stock Trading System with Concept Drift Adaptation. - Yong Hu 002; Xiangzhou Zhang; Bin Feng; Kang Xie; Mei Liu (Int. J. Data Warehous. Min., 2015)

An evolutionary trend reversion model for stock trading rule discovery. - Xiangzhou Zhang; Yong Hu 002; Kang Xie; Weiguo Zhang; Lijun Su; Mei Liu (Knowl. Based Syst., 2015)

Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction. - Weiqi Chen; Zhifeng Hao; Ruichu Cai; Xiangzhou Zhang; Yong Hu 002; Mei Liu (Soft Comput., 2016)

Causal risk factor discovery for severe acute kidney injury using electronic health records. - Weiqi Chen; Yong Hu 002; Xiangzhou Zhang; Lijuan Wu; Kang Liu 011; Jianqin He; Zilin Tang; Xing Song; Lemuel R. Waitman; Mei Liu (BMC Medical Informatics Decis. Mak., 2018)

Which risk predictors are more likely to indicate severe AKI in hospitalized patients? - Lijuan Wu; Yong Hu 002; Borong Yuan; Xiangzhou Zhang; Weiqi Chen; Kang Liu 011; Mei Liu (Int. J. Medical Informatics, 2020)

Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes. - Qichao Luo; Shenglong Mo; Yunfei Xue; Xiangzhou Zhang; Yuliang Gu; Lijuan Wu; Jia Zhang; Linyan Sun; Mei Liu; Yong Hu 002 (BMC Bioinform., 2021)

Location Sensitive Network for Human Instance Segmentation. - Xiangzhou Zhang; Bingpeng Ma; Hong Chang 001; Shiguang Shan; Xilin Chen 001 (IEEE Trans. Image Process., 2021)

Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis. - Kang Liu 011; Borong Yuan; Xiangzhou Zhang; Weiqi Chen; Lav P. Patel; Yong Hu 002; Mei Liu (Int. J. Medical Informatics, 2022)

Development of a knowledge mining approach to uncover heterogeneous risk predictors of acute kidney injury across age groups. - Lijuan Wu; Yong Hu 002; Xiangzhou Zhang; Jia Zhang; Mei Liu (Int. J. Medical Informatics, 2022)

Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows. - Lijuan Wu; Yong Hu 002; Xiangzhou Zhang; Borong Yuan; Weiqi Chen; Kang Liu 011; Mei Liu (Knowl. Based Syst., 2022)

A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data. - Xiangzhou Zhang; Kang Liu 011; Borong Yuan; Hongnian Wang; Shaoyong Chen; Yunfei Xue; Weiqi Chen; Mei Liu; Yong Hu 002 (Int. J. Intell. Syst., 2022)

Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction. - Bo Liu; Xiangzhou Zhang; Kang Liu 011; Xinhou Hu; Eric W. T. Ngai; Weiqi Chen; Ho Yin Chan; Yong Hu 002; Mei Liu (Health Informatics J., 2024)

Development and validation of a Multi-Causal investigation and discovery framework for knowledge harmonization (MINDMerge): A case study with acute kidney injury risk factor discovery using electronic medical records. - Mingyang Zhang; Xiangzhou Zhang; Mingyang Dai; Lijuan Wu; Kang Liu 011; Hongnian Wang; Weiqi Chen; Mei Liu; Yong Hu 002 (Int. J. Medical Informatics, 2024)