Accurate Prediction of Transition Energies in Organic Molecules. - Ting Gao; Hui Li 092; Dong-Bing Pu; Ying-Hua Lu; Hai-Bin Li; Hong-Zhi Li; Zhongmin Su (FCST, 2010)

Accurate Prediction of the Optical Absorption Energies by Neural Network Ensemble Approach. - Hui Li 092; Jianan Wang; Ting Gao; Yinghua Lu; Zhongmin Su (FCST, 2010)

An effective method for accurate prediction of the first hyperpolarizability of alkalides. - Jianan Wang; Hong-Liang Xu; Shiling Sun; Ting Gao; Hong-Zhi Li; Hui Li 092; Zhongmin Su (J. Comput. Chem., 2012)

A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells. - Hong-Zhi Li; Ziyan Zhong; Lin Li 011; Rui Gao; Jingxia Cui; Ting Gao; Li Hong Hu; Yinghua Lu; Zhongmin Su; Hui Li 092 (J. Comput. Chem., 2015)

A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases. - Ting Gao; Hong-Zhi Li; Wenze Li; Lin Li 011; Chao Fang; Hui Li 092; Li Hong Hu; Yinghua Lu; Zhongmin Su (J. Cheminformatics, 2016)

Ensemble Learning for Overall Power Conversion Efficiency of the All-Organic Dye-Sensitized Solar Cells. - Hui Li 092; Yanying Cui; Yunlong Liu; Wenze Li; Yue Shi; Chao Fang; Hongzhi Li; Ting Gao; Li Hong Hu; Yinghua Lu (IEEE Access, 2018)

Predicting pathological response to neoadjuvant chemotherapy in breast cancer patients based on imbalanced clinical data. - Ting Gao; Yaguang Hao; Haipeng Zhang; Lina Hu; Hongzhi Li; Hui Li 092; Li Hong Hu; Bing Han (Pers. Ubiquitous Comput., 2018)

SPXYE: an improved method for partitioning training and validation sets. - Ting Gao; Lina Hu; Zhizhen Jia; Tianna Xia; Chao Fang; Hongzhi Li; Li Hong Hu; Yinghua Lu; Hui Li 092 (Clust. Comput., 2019)