Scholar
Tao Ren
Google Scholar ID: keYDIHsAAAAJ
Peking University
Citations & Impact
Citations
8
H-index
2
i10-index
0
Publications
6
Co-authors
3
list available
Publications
Resume (English only)
Research Experience
- Currently a PhD student, focusing on developing new learning paradigms and optimizing AI-driven decision-making for real-world applications.
Education
- PhD student at the Guanghua School of Management, Peking University, supervised by Professor Yijie Peng; Dual bachelor’s degrees in Mechanical Engineering and Artificial Intelligence from Harbin Institute of Technology, 2023.
Background
- Research interests include BP-free training paradigms, reinforcement learning, and optimization. Focused on exploring novel learning frameworks that move beyond backpropagation for more efficient and scalable AI training methods. Also has a great interest in quantitative finance.
Miscellany
- Has a strong engineering background and is passionate about combining theoretical analysis with practical engineering to develop new learning paradigms and optimize AI-driven decision-making for real-world applications. Contact: rtkenny@stu.pku.edu.cn
