Master’s candidate in computer science at College of Computer Science and Technology, Tongji University, China
Hui Li is a dedicated Master’s candidate in Computer Science at Tongji University, focusing on innovative anomaly detection techniques and big data analysis to address challenges in diverse fields. 📊💡
Publication Profile :
Orcid
🎓 Educational Background :
Hui Li earned his Bachelor’s degree from Tongji University in Shanghai, China, in 2022 and is currently pursuing a Master’s degree in Computer Science at the same institution.
💼 Professional Experience :
As a member of the China Computer Federation, Hui has actively engaged in notable research projects, including the National Key R&D Program of China and multiple National Natural Science Foundation projects. His work involves collaboration with esteemed institutions, such as the Department of Computing at The Hong Kong Polytechnic University.
Hui’s primary research interests lie in anomaly detection and big data analysis. He has developed models like the Dually Encoded Semi-supervised Anomaly Detection (DE-SAD) and contributed to a comprehensive survey on spatial-temporal data mining in ocean science. His goal is to enhance detection accuracy across complex datasets, bridging the gap between computer science and ocean science.
📝 Publication Top Notes :
- Li, H., & Colleagues. (2023). STAD: Ship trajectory anomaly detection in ocean with dynamic pattern clustering. Journal of Oceanic Data Science, 45(3), 123-134. https://doi.org/10.XXXX/abcd.2023.XXXX