Mr. Wenjie Du, University of Science and Technology of China, China
Professional Profile
Google Scholar
🎓Educational Background
Wenjie Du pursued his Bachelor’s Degree at Northeastern University in the School of Metallurgy and Environmental Science from 2014 to 2018, where he was mentored by Mei Wang. Following this, he completed his Master’s Degree in Applied Chemistry at the University of Science and Technology of China (USTC) from 2018 to 2021 under the guidance of Wenwei Li. Currently, he is working towards his Ph.D. in Software Engineering at USTC, with Yang Wang as his advisor, a journey he embarked on from 2021 to 2023.
🏆Awards
Throughout his academic career, Wenjie has received several prestigious accolades. He was honored with the GuSu Outstanding Scholarship in 2021 from the Suzhou Laboratory. Additionally, he was awarded the Shenzhen Stock Exchange Scholarship twice, first in 2022 and again in 2023, from USTC. In 2023, he also received the Tang Xiaoyan Scholarship from Peking University and the esteemed Chinese Academy of Sciences President’s Scholarship.
🔍Research Scope
Wenjie’s research focuses on Knowledge and Data-Driven AI for Science, exploring several significant areas:
AI for Environmental Science:
His work includes predicting water and air quality, conducting carbon emission calculations, and performing pollution source tracing analysis to improve environmental outcomes.
AI for Chemistry:
He investigates methods for distinguishing between conformational isomers and chiral molecules, predicting molecular properties, and conducting spectral analysis to enhance chemical understanding.
AI for Materials:
Wenjie is involved in catalyst design, specifically in metal ratio control and analysis. He also studies the impact of solvent effects on material adsorption processes to predict properties effectively.
Publications Top Noted📝
Spatiotemporal pattern of greenhouse gas emissions in China’s wastewater sector and pathways towards carbon neutrality
Authors: Wen-Jie Du, Jia-Yuan Lu, Yi-Rong Hu, Juanxiu Xiao, Cheng Yang, Jie Wu, Baocheng Huang, Shuo Cui, Yang Wang, Wen-Wei Li
Journal: Nature Water
Year: 2023
Deciphering urban traffic impacts on air quality by deep learning and emission inventory
Authors: Wenjie Du, Lianliang Chen, Haoran Wang, Ziyang Shan, Zhengyang Zhou, Wenwei Li, Yang Wang
Journal: Journal of Environmental Sciences
Year: 2023
Chemistry-informed molecular graph as reaction descriptor for machine-learned retrosynthesis planning
Authors: Baicheng Zhang, Xiaolong Zhang, Wenjie Du, Zhaokun Song, Guozhen Zhang, Guoqing Zhang, Yang Wang, Xin Chen, Jun Jiang, Yi Luo
Journal: Proceedings of the National Academy of Sciences
Year: 2022
Moltc: Towards molecular relational modeling in language models
Authors: Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang
Journal: arXiv preprint arXiv:2402.03781
Year: 2024
Source identification and prediction of nitrogen and phosphorus pollution of Lake Taihu by an ensemble machine learning technique
Authors: Yirong Hu, Wenjie Du, Cheng Yang, Yang Wang, Tianyin Huang, Xiaoyi Xu, Wenwei Li
Journal: Frontiers of Environmental Science & Engineering
Year: 2023