Ensemble fixed-size LS-SVMs applied for the Mach number prediction in transonic wind tunnel. - Xiaojun Wang 004; Ping Yuan; Zhizhong Mao (IEEE Trans. Aerosp. Electron. Syst., 2015)

Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace. - Xiaojun Wang 004; Mingshuang You; Zhizhong Mao; Ping Yuan (Adv. Eng. Informatics, 2016)

Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees. - Xiaojun Wang 004; Ping Yuan; Zhizhong Mao; Mingshuang You (Knowl. Based Syst., 2016)

The modified feature subsets ensemble applied for the mach number prediction in wind tunnel. - Xiaojun Wang 004; Ping Yuan; Zhizhong Mao (IEEE Trans. Aerosp. Electron. Syst., 2016)

The Decoder Based on DNA Strand Displacement with Improved "AND" Gate and "OR" Gate. - Weixuan Han; Changjun Zhou; Xiaojun Wang 004; Qiang Zhang 008 (BIC-TA, 2017)

Solving probability reasoning based on DNA strand displacement and probability modules. - Qiang Zhang 008; Xiaobiao Wang; Xiaojun Wang 004; Changjun Zhou (Comput. Biol. Chem., 2017)

The constrained optimization extreme learning machine based on the hybrid loss function for regression. - Yue-Yue Shi; Xiao-Jun Wang 004; Qiang Zhang 008 (ICACI, 2018)

The memory degradation based online sequential extreme learning machine. - Quanyi Zou; Xiao-Jun Wang 004; Changjun Zhou; Qiang Zhang 008 (Neurocomputing, 2018)

A Dynamic Decision-Making Method Based on Ensemble Methods for Complex Unbalanced Data. - Dong Chen; Xiao-Jun Wang 004; Bin Wang 005 (WISE, 2019)

The Distance-Based Balancing Ensemble Method for Data With a High Imbalance Ratio. - Dong Chen; Xiao-Jun Wang 004; Changjun Zhou; Bin Wang 005 (IEEE Access, 2019)

The Regression Learning of the Imbalanced and Big Data by the Online Mixture Model for the Mach Number Forecasting. - Xiao-Jun Wang 004; Yan Liu; Ping Yuan; Changjun Zhou; Lin Zhang (IEEE Access, 2019)