Papers
4
Total Citations
59
H-Index
3
About
Dr. Tianrui Li is a rising researcher at the intersection of artificial intelligence, social network security, and multi-robot systems. Her work spans three key areas: fake account detection on social media, vision-language alignment for autonomous navigation, and collaborative multi-robot exploration. Her most impactful contribution is the development of SybilFlyover, a heterogeneous graph-based model for detecting fake accounts on social networks, which has garnered 32 citations since its 2022 publication. This work addresses the critical challenge of online fraud and misinformation by leveraging complex relational data. More recently, Dr. Li has pioneered transformer-based vision-language alignment for robot navigation and question answering (19 citations), enabling robots to understand natural language commands in unfamiliar environments. Her 2025 work on multi-robot semantic navigation introduces a novel multimodal chain-of-thought score collaboration framework, advancing how robot teams cooperatively explore and reason about their surroundings. Additionally, she has contributed to precision engineering with a prediction method for backlash error in robot reducers, optimizing assembly accuracy. Dr. Li’s research demonstrates a unique ability to bridge theoretical AI advances with practical robotic applications, making her a notable figure in the growing field of socially-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
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