Water Quality Assessment Model Based on Index Subset Weights and Its Application. - Huicheng Zhou; Fangjie Cong; Guohua Liang (FSKD (4), 2007)

A Learning Process Using SVMs for Multi-agents Decision Classification. - Yanshan Xiao; Feiqi Deng; Bo Liu 002; Shouqiang Liu; Dan Luo 001; Guohua Liang (Web Intelligence/IAT Workshops, 2008)

A Multi-reservoir Flood Operating System Based on Fuzzy Messages. - Guohua Liang; Guoli Wang; Shufeng Xi (FSKD (3), 2009)

A Method of Risky Multi-objective Group Decision-Making. - Guoli Wang; Guohua Liang; Shouyu Chen (FSKD (6), 2009)

A Fuzzy Compositional Inference Rule for Real-Time Dynamic Operating Reservoir Normal Elevation Based on Forecast 24h Rainfall. - Guoli Wang; Guohua Liang; Huicheng Zhou (FSKD (3), 2009)

A fuzzy-inference based neural network model and its application in real-time reservoir flood operation decision-making. - Guoli Wang; Bin He; Peng Yong; Guohua Liang (FSKD, 2010)

An Empirical Study of Bagging Predictors for Different Learning Algorithms. - Guohua Liang; Xingquan Zhu 001; Chengqi Zhang (AAAI, 2011)

An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data. - Guohua Liang; Chengqi Zhang (ADMA (1), 2011)

An Empirical Study of Bagging Predictors for Imbalanced Data with Different Levels of Class Distribution. - Guohua Liang; Xingquan Zhu 001; Chengqi Zhang (Australasian Conference on Artificial Intelligence, 2011)

Empirical Study of Bagging Predictors on Medical Data. - Guohua Liang; Chengqi Zhang (AusDM, 2011)

An Investigation of Sensitivity on Bagging Predictors: An Empirical Approach. - Guohua Liang (AAAI, 2012)

A Comparative Study of Sampling Methods and Algorithms for Imbalanced Time Series Classification. - Guohua Liang; Chengqi Zhang (Australasian Conference on Artificial Intelligence, 2012)

An efficient and simple under-sampling technique for imbalanced time series classification. - Guohua Liang; Chengqi Zhang (CIKM, 2012)

An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging. - Guohua Liang; Anthony G. Cohn 001 (AAAI, 2013)

An Effective Method for Imbalanced Time Series Classification: Hybrid Sampling. - Guohua Liang (Australasian Conference on Artificial Intelligence, 2013)

The effect of varying levels of class distribution on bagging for different algorithms: An empirical study. - Guohua Liang; Xingquan Zhu 001; Chengqi Zhang (Int. J. Mach. Learn. Cybern., 2014)

Ensemble predictions: empirical studies on learners' performance and sample distributions - Guohua Liang (2014)

Phenotyping flag leaf nitrogen content in rice using a three-band spectral index. - Jian-Jun Wang; Zhikang Li; Xiuliang Jin; Guohua Liang; Paul C. Struik; Junfei Gu; Yong Zhou (Comput. Electron. Agric., 2019)

Assessment of cardiac iron deposition and genotypic classification in pediatric beta-thalassemia major: the role of cardiac MRI. - Siqi Zhang; Wen Zhao; Longwei Sun; Guohua Liang; Xiaodong Wang; Hongwu Zeng (BMC Medical Imaging, 2025)