Zhong, S., Zhang, K., Wang, D., & Zhang, H.(2021).Shedding light on "Black Box" machine learning models for predicting the reactivity of HO center dot radicals toward organic compounds.CHEMICAL ENGINEERING JOURNAL,405
Zhang, K., Zhong, S., & Zhang, H.(2020).Predicting aqueous adsorption of organic compounds onto biochars, carbon nanotubes, granular activated carbons, and resins with machine learning.Environ. Sci. Technol.,In revision
Zhang, K., Zhong, S., & Zhang, H.(2020).Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine Learning.ENVIRONMENTAL SCIENCE & TECHNOLOGY,54(11),7008-7018.
Zhang, K., Zhong, S., & Zhang, H.(2020).Predicting aqueous adsorption of organic compounds on biochars, carbon nanotubes, granular activated carbons, and resins by machine learning.Environ. Sci. Technol.,In review
Zhang, K., & Zhang, H.(2020).Coupling a Feedforward Network (FN) Model to Real Adsorbed Solution Theory (RAST) to Improve Prediction of Bisolute Adsorption on Resins.ENVIRONMENTAL SCIENCE & TECHNOLOGY,54(23),15385-15394.
Luo, C., Zhang, K., Salinas, S., & Li, P.(2017).SecFact: Secure Large-scale QR and LU Factorizations.accepted by IEEE Transactions on Big Data.
