Zi Yin
Ph.D. student at Tsinghua and VSR at Stanford
Contact:
myinzi123[AT]gmail[DOT]com
Google Scholar Github aod321
Affiliation:
LangCog Lab,
Department of Psychology,
Stanford University, California, 94301
Tsinghua Laboratory of Brain and Intelligence(THBI),
Department of Psychology,
Tsinghua University, Beijing, 100084
I am a Ph.D. student in the Tsinghua Laboratory of Brain and Intelligence(THBI) at Tsinghua University, advised by Prof. Jia Liu. I’m currently visiting the Department of Psychology at Stanford Univeristy, advised by Michael C. Frank. I am currently planning to graduate in June 2025.
I have an interdisciplinary background in EE, CS, and Psychology, with skill sets in Robotics, AI, and Cognitive Science.
My current research focuses on Embodied AI Learning, exploring how humans acquire knowledge from egocentric sensory experiences through active environmental interaction. This work investigates the development of spatial concepts by comparing the spatial perception behaviors of humans and machines. Key areas of study include Egocentric Reinforcement Learning (RL) Agents, human navigation in virtual environments, and the cognitive development of spatial understanding in children within real-world contexts. By integrating insights from artificial intelligence and cognitive science, my research aims to advance our understanding of spatial learning and contribute to the development of more intuitive and adaptive AI systems.
Additionally, I am interested in embodied security, which aims to develop reliable and trustworthy AI by identifying and addressing anomalous behaviors in robots.
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selected publications
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honors & awards
2021 | National Scholarship for Outstanding Graduate Students |
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2021 | Overall Outstanding Scholarship |
2019 | Top1 Place in the National Forestry and Grassland Robot Competition (Awarded by the Ministry of Forestry of China) |
2017 | First Prize in the Electronics Design Contest |
2017 | First Prize in the Self-Driving Car Competition |
2016 | First Prize in APMCM (Asia and Pacific Mathematical Contest in Modeling) |
2016 | First Prize in the Computer Software and Hardware Contest |