Jin Jing

Papers

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About

Dr. Jin Jing is a leading researcher in intelligent fire detection systems, with a primary focus on computer vision, multimodal sensor fusion, and high-performance deep learning frameworks. Their most impactful contribution is the development of FSDF (Fire Detection Framework), a pioneering approach that dramatically improves detection accuracy and speed in complex, real-world environments. This work, published in 2023, has already garnered 77 citations, reflecting its significance in addressing the limitations of traditional single-modal fire detection methods. Building on this success, Dr. Jing's latest 2025 paper introduces a framework that integrates feature enhancement with multimodal fusion, tackling challenges posed by extreme weather and cluttered backgrounds. This research is critical for advancing early-warning systems and reducing false alarms in both industrial and urban settings. Dr. Jing’s work is widely recognized for bridging the gap between theoretical deep learning models and practical, deployable safety technologies, making them a key figure in the effort to mitigate rising global fire threats.