Xiangzhou Zhang

26 papers Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
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.
Int. J. Medical Informatics
Mingyang Zhang, Xiangzhou Zhang, Mingyang Dai, Lijuan Wu, Kang Liu, Hongnian Wang, Weiqi Chen, Mei Liu, Yong Hu
2024 J jnl
Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction.
Health Informatics J.
Bo Liu, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W. T. Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu
2022 J jnl
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data.
Int. J. Intell. Syst.
Xiangzhou Zhang, Kang Liu, Borong Yuan, Hongnian Wang, Shaoyong Chen, Yunfei Xue, Weiqi Chen, Mei Liu, Yong Hu
2022 J jnl
Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis.
Int. J. Medical Informatics
Kang Liu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Lav P. Patel, Yong Hu, Mei Liu
2022 J jnl
Development of a knowledge mining approach to uncover heterogeneous risk predictors of acute kidney injury across age groups.
Int. J. Medical Informatics
Lijuan Wu, Yong Hu, Xiangzhou Zhang, Jia Zhang, Mei Liu
2022 J jnl
Temporal dynamics of clinical risk predictors for hospital-acquired acute kidney injury under different forecast time windows.
Knowl. Based Syst.
Lijuan Wu, Yong Hu, Xiangzhou Zhang, Borong Yuan, Weiqi Chen, Kang Liu, Mei Liu
2021 J jnl
Location Sensitive Network for Human Instance Segmentation.
IEEE Trans. Image Process.
Xiangzhou Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen
2021 J jnl
Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes.
BMC Bioinform.
Qichao Luo, Shenglong Mo, Yunfei Xue, Xiangzhou Zhang, Yuliang Gu, Lijuan Wu, Jia Zhang, Linyan Sun, Mei Liu, Yong Hu
2020 J jnl
Which risk predictors are more likely to indicate severe AKI in hospitalized patients?
Int. J. Medical Informatics
Lijuan Wu, Yong Hu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Kang Liu, Mei Liu
2018 J jnl
Causal risk factor discovery for severe acute kidney injury using electronic health records.
BMC Medical Informatics Decis. Mak.
Weiqi Chen, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Kang Liu, Jianqin He, Zilin Tang, Xing Song, Lemuel R. Waitman, Mei Liu
2016 J jnl
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction.
Soft Comput.
Weiqi Chen, Zhifeng Hao, Ruichu Cai, Xiangzhou Zhang, Yong Hu, Mei Liu
2015 J jnl
An evolutionary trend reversion model for stock trading rule discovery.
Knowl. Based Syst.
Xiangzhou Zhang, Yong Hu, Kang Xie, Weiguo Zhang, Lijun Su, Mei Liu
2015 J jnl
Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review.
Appl. Soft Comput.
Yong Hu, Kang Liu, Xiangzhou Zhang, Lijun Su, E. W. T. Ngai, Mei Liu
2015 J jnl
Concept drift mining of portfolio selection factors in stock market.
Electron. Commer. Res. Appl.
Yong Hu, Kang Liu, Xiangzhou Zhang, Kang Xie, Weiqi Chen, Yuran Zeng, Mei Liu
2015 J jnl
Cost-sensitive and ensemble-based prediction model for outsourced software project risk prediction.
Decis. Support Syst.
Yong Hu, Bin Feng, Xizhu Mo, Xiangzhou Zhang, E. W. T. Ngai, Ming Fan, Mei Liu
2015 J jnl
Stock trading rule discovery with an evolutionary trend following model.
Expert Syst. Appl.
Yong Hu, Bin Feng, Xiangzhou Zhang, E. W. T. Ngai, Mei Liu
2015 J jnl
iTrade: A Mobile Data-Driven Stock Trading System with Concept Drift Adaptation.
Int. J. Data Warehous. Min.
Yong Hu, Xiangzhou Zhang, Bin Feng, Kang Xie, Mei Liu
2014 J jnl
A causal feature selection algorithm for stock prediction modeling.
Neurocomputing
Xiangzhou Zhang, Yong Hu, Kang Xie, Shouyang Wang, E. W. T. Ngai, Mei Liu
2014 — conf
Concept Drift Mining of Fundamental Variables in China Stock Market.
3PGCIC
Yong Hu, Kang Liu, Bin Feng, Lijun Su, Xiangzhou Zhang, Weiqi Chen, Yuran Zeng
2014 — conf
Discovering Many-to-One Causality in Software Project Risk Analysis.
3PGCIC
Weiqi Chen, Kang Liu, Lijun Su, Mei Liu, Zhifeng Hao, Yong Hu, Xiangzhou Zhang
2013 — conf
A Cost-sensitive Intelligent Prediction Model for Outsourced Software Project Risk.
WHICEB
Hongming Zhang, Bin Feng, Xizhu Mo, Lijun Su, Xiangzhou Zhang, Yong Hu
2013 — conf
A Prediction Model for Stock Market: A Comparison of The World's Top Investors with Data Mining Method.
WHICEB
Yong Hu, Bin Feng, Xiangzhou Zhang, Xin Ying Qiu, Risong Li, Kang Xie
2013 J jnl
An integrative framework for intelligent software project risk planning.
Decis. Support Syst.
Yong Hu, Jianfeng Du, Xiangzhou Zhang, Xiaoling Hao, E. W. T. Ngai, Ming Fan, Mei Liu
2013 J jnl
Software project risk analysis using Bayesian networks with causality constraints.
Decis. Support Syst.
Yong Hu, Xiangzhou Zhang, E. W. T. Ngai, Ruichu Cai, Mei Liu
2013 — conf
iTrade: An Adaptive Risk-Adjusted Intelligent Stock Trading System from the Perspective of Concept Drift.
EIDWT
Yong Hu, Bin Feng, Xiangzhou Zhang, Kang Liu, Kang Xie, Mei Liu
2012 J jnl
Intelligent Analysis Model for Outsourced Software Project Risk Using Constraint-based Bayesian Network.
J. Softw.
Yong Hu, Xizhu Mo, Xiangzhou Zhang, Yuran Zeng, Jianfeng Du, Kang Xie