Sihang Guo

Papers

Total Citations

H-Index

About

Sihang Guo is a leading researcher at the intersection of computer vision, cognitive science, and artificial intelligence, with a primary focus on human gaze analysis. His seminal work, "Human Gaze Assisted Artificial Intelligence: A Review" (2020), which has garnered 47 citations, provides a comprehensive high-level overview of how gaze data—revealing internal cognitive states—is transforming fields such as natural language processing, decision learning, and robotics. Guo’s major contribution lies in synthesizing and advancing the integration of gaze information into AI systems, demonstrating its potential to enhance human-computer interaction and autonomous decision-making. By bridging the gap between cognitive psychology and machine learning, his research has laid foundational groundwork for gaze-assisted technologies, influencing subsequent studies in visual attention modeling and interactive AI. Guo’s work is notable for its interdisciplinary impact, offering a roadmap for leveraging human visual behavior to improve algorithmic performance. His contributions continue to inspire researchers exploring how subtle cues like eye movements can unlock more intuitive, human-aware artificial intelligence systems.