Scholar
Kunhe Yang
Google Scholar ID: -j0q9B4AAAAJ
University of California, Berkeley
Citations & Impact
Citations
310
H-index
7
i10-index
7
Publications
15
Co-authors
23
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at top-tier conferences including NeurIPS (2023–2025), ICML 2025, EC (2023–2025), and SODA 2025
- Selected as a Rising Star in EECS by MIT and Boston University (Sep 2025)
- Invited to give a talk at the Young Researchers Workshop at Cornell University on 'Distortion of AI Alignment' (Oct 2025)
- Co-organizing the EC'25 Tutorial on Decision-Theoretic Forecasting and the EC'25 Gender Inclusion Workshop (June 2025)
- Several papers received oral or spotlight presentations, e.g., NeurIPS 2023 spotlight for 'Calibrated Stackelberg Games', EC 2023 paper featured in INFORMS AMD award sessions
Background
- Ph.D. candidate in the EECS department at UC Berkeley
- Broadly interested in the intersection of economics and computer science
- Research focuses on theoretical foundations of designing and evaluating AI algorithms in environments shaped by human incentives and AI agency
- Work spans human-centric policy learning, incentive-aware evaluation, and multi-agent collaboration and information transmission
- Draws on tools from machine learning theory and computational economics
