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His research focuses on advancing semantic segmentation through depth-aware multimodal learning, with particular emphasis on domain generalization and robustness. He is committed to improving the stability and generalization of segmentation in diverse traffic and urban scenes.
His research interests focus on Urban Sustainable Development, 2D Computer Vision, and Geographic Information Systems (GIS). He is passionate about leveraging computer vision techniques and geospatial technologies to address urban sustainability challenges, including smart city development, urban environmental monitoring, and sustainable urban planning.
He is a researcher with a focus on the intersection of Artificial Intelligence, Large Language Models (LLM), and GeographicInformation Systems (GIS). His research interests are centered on leveraging these cutting-edge technologies to solve practical problems in urban planning and sustainable development. He is dedicated to exploring how AI can be used to analyze and predict urban dynamics, providing a scientific basis for building more efficient, intelligent, and sustainable cities.