Youwei Wang | Data Mining | Young Researcher Award

Published on by Database Scientist

Mr. Youwei Wang | Data Mining | Young Researcher Award 

Central University of Finance and Economics | China

Mr. Youwei Wang is an Associate Professor at the School of Information, Central University of Finance and Economics, Beijing, China. He holds a Ph.D. in Computational Bioinformatics, a Master’s in Computer Application Technology, and a Bachelor’s in Computer Science and Technology, all from Jilin University. His research primarily focuses on data mining, deep learning, and social networks, with significant contributions to misinformation detection, fraud analysis, and blockchain security. Dr. Wang has published over 60 research papers, including SCI and EI-indexed works, and authored one book with an ISBN. He also holds two patents and has led multiple funded projects from the National Natural Science Foundation of China, the Ministry of Education, and the Beijing Natural Science Foundation. A member of the China Computer Federation (CCF) and the China Cyberspace Security Association, Dr. Wang collaborates actively with institutions such as Tianjin University of Finance and Economics. His research employs advanced techniques in graph modeling, deep learning, and knowledge distillation to improve fake content recognition, sentiment analysis, and smart contract anomaly detection, thereby contributing to digital governance and financial technology. He teaches courses on Network Content Security Analysis, C++ Programming, and AI Programming, mentoring graduate students in applied artificial intelligence. Mr. Youwei Wang commitment to innovation and interdisciplinary exploration continues to advance the fields of information security, machine learning, and financial data analytics.

Profile: Scopus

Featured Publications

  • Wang, Y., Feng, L., Xie, J., & Feng, Q. (2023). Fast multi-channel adaptive learning-enriched learning algorithm for text classification. Multimedia Tools and Applications. (SCI, CCF C)

  • Wang, Y., Feng, L., Zhu, Y., Li, Y., & Chen, F. (2022). Improved AdaBoost algorithm using multisatisfied samples oriented feature selection and weighted non-negative matrix factorization. Neurocomputing, 506, 133–149. (SCI, CAS District 2, CCF C)

  • Wang, Y., & Feng, L. (2021). An adaptive boosting algorithm based on weighted feature selection and category classification confidence. Applied Intelligence, 51(6), 6879–6888. (SCI, CAS District 2, CCF C)

  • Wang, Y., Feng, L., & others. (2024). Dual EROU-CON-based sentiment classification method combining global and local attention. The Journal of Supercomputing, 89, 2799–2817. (SCI, CCF C)

  • Wang, Y., Lu, K., & Feng, L. (2024). Sentiment classification method based on user personality and semantic-motivation features. Journal of Electronics.