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个人简介

教育经历 2017-08 至 2021-05, Case Western Reserve University, Civil Engineering, 博士 2012-09 至 2014-07, 哈尔滨工业大学, 无机化学, 硕士 2007-09 至 2011-07, 中国海洋大学, 材料化学, 学士 工作经历 2022-10 至 今, 华东师范大学, 生态与环境科学学院, 紫江青年研究员 2021-06 至 2022-08, Georgia Institute of Technology,佐治亚理工学院,博士后

研究领域

机器学习在环境科学与工程领域的应用

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Yuankai Huang#; Shifa Zhong#; Lan Gan; Yongsheng Chen. Development of Machine Learning Models for Ion-Selective Electrode Cation Sensor Design,ACS ES&T Engineering, Accepted (共一) Shifa Zhong and Xiaohong Guan; Developing Quantitative Structure-Activity Relationship (QSAR) Models for Water Contaminants’ Activities/Properties by Fine-tuning GPT-3 Models, Environmental Science & Technology Letters, 2023, DOI: 10.1021/acs.estlett.3c00599 Shifa Zhong and Xiaohong Guan; Count-based Morgan Fingerprint: A More Efficient and Interpretable Molecular Representation in Developing Machine Learning-based Predictive Regression Models for Water Contaminants’ Activities/Properties, Environmental Science & Technology, 2023, DOI: 10.1021/acs.est.3c02198. Web APP: https://contaminanet.streamlit.app/ Thomas Igou#, Shifa Zhong#, Elliot Reid and Yongsheng Chen; Real-Time Sensor Data Profile-Based Deep Learning Method Applied to Open Raceway Pond Microalgal Productivity Prediction, Environmental Science & Technology, 2023, https://doi.org/10.1021/acs.est.2c07578 (共一) Yidan Gao#, Shifa Zhong#, Kai Zhang, Huichun Zhang; Abiotic reduction of organic and inorganic compounds by Fe(II)-associated reductants: Comprehensive datasets and machine learning modeling, Environmental Science & Technology, 2023, https://doi.org/10.1021/acs.est.2c09724 (共一) Haiping Gao#; Shifa Zhong#; Raghav Dangayach; Yongsheng Chen; Understanding and Designing a High-Performance Ultrafiltration Membrane Using Machine Learning, Environmental Science & Technology, 2023, 10.1021/acs.est.2c05404 (共一) Shifa Zhong; Yanping Zhang; Huichun Zhang; Machine Learning-Assisted QSAR Models on Contaminant Reactivity Toward Four Oxidants: Combining Small Data Sets and Knowledge Transfer, Environmental Science & Technology, 2022, 56: 681 Shifa Zhong; Dylan R Lambeth; Thomas K Igou; Yongsheng Chen; Enlarging Applicability Domain of Quantitative Structure–Activity Relationship Models through Uncertainty-Based Active Learning, ACS ES&T Engineering, 2022, 2(7): 1211-1220 (封面论文) Liqing Yan#; Shifa Zhong#; Thomas Igou; Haiping Gao; Jing Li; Yongsheng Chen; Development of Machine Learning Models to Enhance Element-doped g-C3N4 Photocatalyst for Hydrogen Production through Splitting Water, International Journal of Hydrogen Energy, 2022, 47: 34075-34089 (共一) Shifa Zhong; Kai Zhang; Majid Bagheri; Joel G Burken; April Gu; Baikun Li; Xingmao Ma; Babetta L Marrone; Zhiyong Jason Ren; Joshua Schrier; Wei Shi; Haoyue Tan; Tianbao Wang; Xu Wang; Bryan M Wong; Xusheng Xiao; Xiong Yu; Jun-Jie Zhu; Huichun Zhang; Machine Learning: New Ideas and Tools in Environmental Science and Engineering, Environmental Science & Technology, 2021, 55: 12741 (封面论文,ESI高被引) Haiping Gao#; Shifa Zhong#; Wenlong Zhang; Thomas Igou; Eli Berger; Elliot Reid; Yangying Zhao; Dylan Lambeth; Lan Gan; Moyosore A Afolabi; Zhaohui Tong; Guanghui Lan; Yongsheng Chen; Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization, Environmental Science & Technology, 2021, 56: 2572 (共一,封面论文) Shifa Zhong; Kai Zhang; Dong Wang; Huichun Zhang; Shedding Light on “Black Box” Machine Learning Models for Predicting the Reactivity of HO radicals Toward Organic Compounds, Chemical Engineering Journal, 2021, 405: 126627 Shifa Zhong; Jiajie Hu; Xiong Yu; Huichun Zhang; Molecular Image-Convolutional Neural Network (CNN) Assisted QSAR Models for Predicting Contaminant Reactivity Toward OH radicals: Transfer learning, Data augmentation and Model interpretation, Chemical Engineering Journal, 2021, 408: 127998 Shifa Zhong; Jiajie Hu; Xudong Fan; Xiong Yu; Huichun Zhang; A Deep Neural Network Combined with Molecular Fingerprints (DNN-MF) to Develop Predictive Models for Hydroxyl Radical Rate Constants of Water Contaminants, Journal of Hazardous Materials, 2020, 383: 121141 Shifa Zhong; Huichun Zhang; Mn(III)-Ligand Complexes as a Catalyst in Ligand-Assisted Oxidation of Substituted Phenols by Permanganate in Aqueous Solution, Journal of Hazardous Materials, 2020, 384: 121401 Shifa Zhong; Huichun Zhang; New insight into the reactivity of Mn(III) in bisulfite/permanganate for organic compounds oxidation: The catalytic role of bisulfite and oxygen, Water Research, 2019, 148: 198-207 Jianzhi Huang#; Shifa Zhong#; Yifan Dai; Chung-Chiun Liu; Huichun Zhang; Effect of MnO2 Phase Structure on the Oxidative Reactivity toward Contaminant Degradation, Environmental Science & Technology, 2018, 52: 11309 (共一) Shifa Zhong; Yuanyuan Sun; Hongchuan Xin; Chunpeng Yang; Lei Chen; Xuebing Li; NO oxidation over Ni–Co perovskite catalysts, Chemical Engineering Journal, 2015, 275: 351 Shifa Zhong; Lin Liang; Mengshuai Liu; Bo Liu; Jianmin Sun; DMF and mesoporous Zn/SBA-15 as synergistic catalysts for the cycloaddition of CO2 to propylene oxide, Journal of CO2 Utilization, 2015, 9: 58 Shifa Zhong; Lin Liang; Bo Liu; Jianmin Sun; ZnBr2/DMF as simple and highly active Lewis acid–base catalysts for the cycloaddition of CO2 to propylene oxide, Journal of CO2 Utilization, 2014, 6: 75

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