Mr. Hongzhen Cui | University of Science and Technology Beijing | China
🎓 Hongzhen Cui, an IEEE and CCF member, is a passionate researcher pursuing a Ph.D. in Computer Science and Technology at the University of Science and Technology Beijing (Expected 2025). His research 🌐 focuses on Natural Language Processing (NLP), Knowledge Graphs, Deep Learning, and interdisciplinary medical-engineering applications, including cardiovascular disease prediction ❤️. Hongzhen has industry experience as a System R&D Engineer at Meituan 💻 and academic experience as a Computer Science Lecturer at Zaozhuang University 👨🏫. His diverse background blends technical innovation and academic excellence, driving advancements in AI and healthcare technologies 🚀
Professional Profile:
SCOPUS
Suitability for Best Researcher Award
Hongzhen Cui is a highly suitable candidate for the Best Researcher Award due to his impactful research in Natural Language Processing, Knowledge Graphs, and Deep Learning, with significant applications in medical-engineering, particularly cardiovascular disease prediction. His blend of academic excellence, industry innovation at Meituan, and active involvement in IEEE and CCF showcases his commitment to advancing AI technologies for real-world healthcare solutions.
Education 🎓
- 📚 Ph.D. in Computer Science and Technology (Expected 2025)
University of Science and Technology Beijing, China
- 🎓 Master of Engineering in Computer Science and Technology (2018)
Harbin Engineering University, China
- 🎓 Bachelor of Engineering in Computer Science and Technology (2015)
Zaozhuang University, China
Professional Experience 💼
- 💻 System R&D Engineer (2018–2019)
Meituan, Beijing
- Developed large-scale distributed systems 🌐
- Collaborated with cross-functional teams 🤝
- 👨🏫 Computer Science Lecturer (2019–2021)
Zaozhuang University
- Taught courses like Data Structures, Algorithms, and Networks 📊
- Mentored students in academic and research projects 📚
Professional Development
🚀 Hongzhen Cui has demonstrated continuous professional growth through diverse roles in academia and industry. At Meituan, he honed his skills in large-scale system development 💻, contributing to high-performance solutions. Transitioning to academia, he served as a Lecturer 👨🏫 at Zaozhuang University, inspiring students in subjects like Algorithms and Software Engineering 📘. His membership in IEEE and CCF 🌐 reflects his commitment to staying at the forefront of technological advancements. Currently pursuing his Ph.D., he actively engages in cutting-edge research in NLP, knowledge graphs, and AI-driven healthcare applications ❤️.
Research Focus
🔍 Hongzhen Cui’s research spans multiple domains within computer science and medical technology. His primary focus is on Natural Language Processing (NLP) 🗣️, enabling machines to understand human language. He explores Knowledge Graphs 🌐 to structure complex data relationships and applies Deep Learning 🤖 for intelligent data analysis. In the medical field, he specializes in Cardiovascular Disease Feature Mining ❤️, Disease Information Extraction 🏥, and Disease Prediction and Analysis 📊. His interdisciplinary approach bridges technology and healthcare, aiming to improve diagnostic accuracy and predictive modeling in medical informatics.
Publication Top Notes:
📄 Multi-label text classification of cardiovascular drug attributes based on BERT and BiGRU — H. Cui, Hongzhen, L. Zhang, Longhao, X. Zhu, Xiaoyue, X. Guo, Xiuping, Y. Peng, Yunfeng 1 Citation 📊