About Me
I am Yihang Wu (吴一航 in Chinese), a second-year MS student at the College of Computer Science and Technology, Zhejiang University. Prior to that, I graduated from Zhejiang University (Turing Honors Class) in 2024.
Research Interests
“All models are wrong, but some are useful.”
I am interested in theoretically modeling (also integrating empirical validation) to explain emergent phenomena in complex systems and to uncover the underlying principles behind these "black-box" systems. Accordingly, my research focuses on complex systems within computer science, particularly in computational economics (game theory) and machine learning theory.
Books and Teaching
I am passionate about imparting knowledge in a clearer and more efficient manner. To this end, I have been extensively involved in course development work, including lecturing, writing textbooks and notes, and serving as a teaching assistant. Below are two textbooks I have primarily authored. For a complete overview of my teaching experience, please visit this page.
- Linear Algebra Left Undone. Yihang Wu et al.
- Textbook for the peer-assisted learning course in the CKC Honors College of Zhejiang University.
- Open sourced on this page: https://github.com/yhwu-is/Linear-Algebra-Left-Undone
- Data Element Trading. Jinfei Liu, Yihang Wu, Zhe Yuan, Kui Ren. Posts & Telecom Press, 2026.
- Textbook for the course with the same name (CS2270M in Zhejiang University).
Selected Publications
- Do AI Overviews Benefit Search Engines? An Ecosystem Perspective
Yihang Wu, Jiajun Tang, Jinfei Liu, Haifeng Xu, Fan Yao
Working Paper - When Data Pricing Meets Non-cooperative Game Theory
Yuran Bi, Yihang Wu, Jinfei Liu, Kui Ren, Li Xiong
ICDE 2024: IEEE 40th International Conference on Data Engineering
News
- Coming soon.