Dongying

Dr. Dong holds a Master's degree in Medicinal Chemistry and a PhD in Pharmaceutical Analysis from China Pharmaceutical University. The main research focuses on the application of machine learning and deep learning in pharmaceutical R&D. Teach undergraduate organic chemistry course, which had been rated as national first-class undergraduate courses by the Ministry of Education of the People's Republic of China.

(1) Dong Ying*; Xiang Bingren; Du Ding*; PV_LOO-based training set selection improves the external predictability of QSAR/QSPR models, Journal of Chemical Information and Modeling, 2017, 57(5): 1055-1067.

(2) Dong Ying; Xiang Bingren*; Geng Ying; Yuan Wenbo; Rough set based wavelength selection in near-infrared spectral analysis, Chemometrics and Intelligent Laboratory Systems, 2013, 126: 21-29.

(3) Dong Ying; Zhang Yan; Xiang Bingren*; Deng Haishan; Wu Jingfang; Modeling of Autocatalytic Hydrolysis of Adefovir Dipivoxil in Solid Formulations, Journal of the Pharmaceutical Society of Japan, 2011, 131(4): 643-654.

(4) Dong Ying; Xiang Bingren*; Wang Teng; Liu Hao; Qu Lingbo; Rough Set-Based SAR Analysis: An Inductive Method, Expert Systems with Applications, 2010, 37(7):5032-5039.