Title: Development Paths for Computer Science Students in the Era of Large Models
Presenter: Jin Tang, Professor and Phd Supervisor at Anhui University
Date and Time: March 5, 2025, from 10:30 AM to 11:30 AM
Location: Academic Meeting Room 213, West of Yishe Building
Target Audience: Interested faculty members, graduate students, etc.
Organizer: School of Computer Science and Technology
Biography: Tang Jin is a professor at the School of Computer Science and Technology, Anhui University, and a PhD supervisor. He serves as the Assistant Director of the Artificial Intelligence Research Institute at the Hefei Comprehensive National Science Center, Director of the Anhui Provincial Key Laboratory of Multimodal Cognitive Computing, Distinguished Professor of the Wanjiang Scholars Program, Academic and Technical Leader of Anhui Province, and Head of the Anhui 115 Industrial Innovation Team. He is also a council member of the China Society of Image and Graphics. His research focuses on computer vision and multimedia big data analysis, with over 100 papers published in high-level international conferences and journals. He has led more than 20 research projects, including key projects and general projects funded by the National Natural Science Foundation of China.
Abstract: Large models, represented by DeepSeek, have demonstrated strong capabilities in areas such as document generation, while their code generation abilities continue to improve. This has sparked anxiety among computer science students about their future. Therefore, in the era of large models, it is particularly important for computer science students to reflect on and explore how to optimize their development plans, adjust learning methods, and update their knowledge structures.
