Yuyang Zhang Source Confirmed

OverviewAI-generated summary

Yuyang Zhang's research explores the intersection of artificial intelligence, data science, and behavioral studies. Recent publications investigate the trends and potential strategies for designing transparent AI agents, and examine the distribution of dishonesty through behavioral experiments and simulations. Zhang also focuses on optimizing data storage for spatio-temporal queries and developing model-based approaches to imitation learning through multi-step predictions. Further work includes error-in-variables methods for efficient system identification and learning high-dimensional dynamical systems with limited sensing.

Zhang's scholarly contributions are reflected in an h-index of 5, with 29 total publications and 179 citations. This work contributes to understanding complex systems, improving computational methods, and analyzing human behavior in various contexts.

Metrics

• h-index: 5
• Publications: 29
• Citations: 179