Ruiyang Qin

Papers

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About

Ruiyang Qin is a researcher advancing the frontier of multi-modal AI and embodied reasoning, with a focus on enabling machines to understand and interact with dynamic visual environments. Their most cited work, "Open-Ended Multi-Modal Relational Reasoning for Video Question Answering" (2023), introduces a robotic agent that integrates video recognition with language-based interactions to analyze external scenes and answer participants’ questions. This contribution addresses a critical challenge in AI: bridging perception and reasoning to allow agents to perform open-ended, relational inference from video data. Though early in its trajectory, the work has already garnered 2 citations, signaling growing interest in Qin’s approach to building assistive agents that can reason about complex, real-world scenarios. By combining video understanding with natural language processing, Qin is helping to shape the next generation of interactive AI systems—ones that can not only see but also think and respond. Their research holds particular promise for applications in human-robot collaboration, assistive technology, and intelligent tutoring systems, where context-aware, language-driven reasoning is essential.