CV

You can find my CV in PDF version here: Curriculum Vitae.

Education

Publications

[1] Wenjie Du, JiaYuan Lu, YiRong Hu, Juanxiu Xiao, Jie Wu, Cheng Yang, Baocheng Huang, Shuo Cui, Yang Wang, Wenwei Li, Spatiotemporal Pattern of Greenhouse Gas Emissions in China’s Wastewater Sector and Pathways towards Carbon Neutrality. Nature Water,2023.

[2] Wenjie Du, Fenfen Ma, Jiahui Zhang, Baicheng Zhang, Xiaoting Yang, Wu Di, Yang Wang, and Jun Jiang, Spectroscopy-Guided Deep Learning Predicts Solid-Liquid Surface Adsorbate Properties in Unseen Solvents. Journal of the American Chemical Society. (JACS 化学领域顶刊,中科院一区, IF = 15. 419)

[3] Wenjie Du, Shuai Zhang, Ziyuan Zhao, Jun Xia, Junfeng Fang, Yang Wang, MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. the 33rd International Joint Conference on Artificial Intelligence (CCF A).

[4] Wenjie Du, Xiaoting Yang, Di Wu, FenFen Ma, Baicheng Zhang, Chaochao Bao, Yaoyuan Huo, Xin Chen, Yang Wang. Fusing 2D and 3D Molecular Graphs as Unambiguous Molecular Descriptors for Conformational and Chiral Stereoisomers. *Briefings in Bioinformatics,2023. (JCR Q1, IF= 13.994, CCF B)

[5] Wenjie Du, Lianliang Chen, Haoran Wang, Ziyang Shan, Zhengyang Zhou, Wenwei Li, Yang Wang, Deciphering Urban Traffic Impacts on Air Quality by Deep Learning and Emission Inventory. *Journal of Environmental Sciences,2023. (JCR Q1, IF= 6.796, 高被引论文)

[6] Yirong Hu, Wenjie Du, Cheng Yang, Yang Wang, Tianyin Huang, Xiaoyi Xu, Wenwei Li. Source identification and prediction of nitrogen and phosphorus of Lake Taihu by ensemble Machine Learning Technique, Frontiers of Environmental Science & Engineering,2023. (JCR Q2, IF= 6.048)

[7] Baicheng Zhang, Xiaolong Zhang, Wenjie Du, Zhaokun Song, Guozhen Zhang, Guoqing Zhang, Yang Wang, Xin Chen, Jun Jiang, and Yi Luo, Chemistry-informed molecular graph as reaction descriptor for machine-learned retrosynthesis planning. Proceedings of the National Academy of Sciences (PNAS),2022.(美国科学院院刊,中科院一区, IF = 11.1)

[8] Xin Meng, Binglan Wu, Yilei Liang, Chenkai Gu, Wenjie Du#, Xin Chen#, CIMG-BERT: pretraining bidirectional transformers with chemistry knowledge for molecular property prediction. IEEE International Conference on Information Technology, Communication Ecosystem and Management,2022. (EI)

[9] Jiahui Zhang, Wenjie Du, #, Binglan Gu, Xiaoting Yang, Xin Chen, Yang Wang#, SMG-BERT: integrating stereoscopic information and chemical representation for molecular property prediction. *Frontiers In Molecular Biosciences (JCR Q1, IF= 6.133)

[10] Jiahui Zhang, Wenjie Du, #, Di Wu, Jiahe Li, Shuai Zhang, Yang Wang#, Improving efficiency in rationale discovery for Out-of-Distribution molecular representations. International Conference on Bioinformatics and Biomedicine (BIBM) (CCF B)

[11] Ziyang Shan, Wenjie Du, Correlation between Nitrogen Pollution and WWTPs Discharge in Lake Taihu. 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC),2021. (EI)

[12] Jingxiao Zhang, Tian Tian, Wenjie Du, Yanfan Guan, Yunjie Wang, Yusheng Li, Hanqing Yu. Adopting vibration to alleviate the solute buildup and membrane fouling in a forward osmosis system. Journal of Cleaner Production,2021. (JCR Q1, IF= 11.072)

[13] Cheng Yang, Wenjie Du, Ruli He, Yirong Hu, Houqi Liu, Tianyin Huang, Wenwei Li. Spatiotemporal patterns of methane and nitrous oxide emissions in China’s inland waters predicted by machine learning technique. ACS ES&T Water (JCR Q1,).

[14] Xiaoting Yang, Wenjie Du, Bond Energy Assists Accurate Molecule Property Prediction. Journal of Physics: Conference Series (EI).

[15] Yifan Xie, Shou Feng, LinXiao Deng, Aoran Cai, Liyu Gan, Zifan Jiang, Peng Yang, Guilin Ye, Zaiqing Liu, Li Wen, Qing Zhu, Wanjun Zhang, Zhanpeng Zhang, Jiahe Li, Zeyu Feng, Chutian Zhang, Wenjie Du, Lixin Xu, Jun Jiang, Xin Chen, Gang Zou. Inverse design of chiral functional filme by a robotic AI-Chemist. Nature Communication. (JCR Q1, IF= 17.694)

Service and leadership