Chenming Ye

Tianjin Polytechnic University, University of Wisconsin–Madison

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Total Citations

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About

Chenming Ye is a rising researcher at the intersection of computer vision, robotics, and human-computer interaction. Their work focuses on developing intelligent systems that bridge perception and real-world action, with key contributions in efficient object detection and embodied AI. Ye’s paper "YOLO-VG: an efficient real-time recyclable waste detection network" (2025) introduces a lightweight deep learning model tailored for environmental sustainability, achieving rapid and accurate waste classification—a critical step toward automated recycling systems. In parallel, "NarraGuide: an LLM-based Narrative Mobile Robot for Remote Place Exploration" (2025) pioneers a novel approach to robotic telepresence, where large language models generate contextual narratives to guide users through unfamiliar environments, reducing reliance on prior spatial knowledge. Though early in their career, with each paper garnering 2 citations, these works signal a promising trajectory in applied AI. Ye’s research uniquely combines technical efficiency with user-centered design, addressing pressing challenges in waste management and remote exploration. Their work stands out for its potential to democratize access to distant places and enhance environmental stewardship through smart robotics.