Xing Jin

Xing Jin is a Researcher affiliated with the University of Health and Rehabilitation Sciences in Qingdao, China. His work spans multiple domains including Artificial Intelligence, Machine Learning, and Remote Sensing, with a focus on Facial Expression Recognition, Environmental Monitoring, and Cybersecurity.

Recent research involves Transformer-based models for emotion detection under the Internet of Medical Things (IoMT), UAV remote sensing for water quality analysis, and Q-learning applications in public goods game theory. His 2025 publications highlight deep learning architectures, generative verification, and multi-turn reinforcement learning for LLM agents.

He has no explicitly stated scientific awards or advising roles in the provided data. His collaborative work includes cybersecurity mechanisms for HTML5-based mobile apps, energy-efficient cloud computing, and biomedical signal processing to study anesthesia effects.

Key co-authors include Zhen Wang, Wenlei Shi, and Dan Pei. His 2025 articles address environmental informatics, generative modeling, and medical AI.