Paper
RAMEN was published in Mathematics
Region-Adaptive Mixture of Ego-Networks for Multimodal Geospatial Fusion in Urban Region Representation advances multimodal geospatial fusion for urban region representation learning.
PaperThis archive tracks publications, funded projects, invited talks, teaching activities, and awards related to urban spatio-temporal data sensing, multimodal intelligence, geospatial AI, and intelligent urban governance.
Region-Adaptive Mixture of Ego-Networks for Multimodal Geospatial Fusion in Urban Region Representation advances multimodal geospatial fusion for urban region representation learning.
PaperThe paper introduces a multi-modal and multi-graph self-supervised contrastive learning framework for urban region representation, one of the lab's representative studies.
PaperAppointed Executive Director of the Spatio-temporal Intelligence Center and Deputy Head of the Department of Data Science.
CenterPresented work on general-purpose region representation learning driven by multimodal urban sensing data at the 7th Conference on Spatial Data Intelligence.
Center NewsDelivered "Human-centered Urban Spatial Intelligence: Exploration and Reflection," discussing spatial intelligence for urban governance and public services.
Center NewsThe paper proposes a structure-aware diffusion framework for generating human flows from satellite imagery.
PaperThe study models detailed urban mobility dynamics through large model-enhanced multimodal representations.
PaperThe project studies multimodal deep features for urban spatial representation and intelligent decision-making.
ProjectShared recent work on urban foundation models, multimodal fusion, and spatio-temporal representation learning.
Center NewsPresented studies on multimodal urban foundation models and exchanged ideas on urban representation learning.
Center NewsSemiGPS was also published at ICASSP 2025, further advancing spatio-temporal multimodal fusion and geospatial intelligence.
PaperThe course strengthens student capabilities in data analysis, modeling, and intelligent urban applications.
TeachingPresented a poster on hourly urban dynamics and joined invited academic exchanges on information geography and urban intelligence.
Center NewsThe industry project covers street-view image collection and processing for four cities, alongside large-scale trajectory flow data services.
ProjectsUrban representation learning for fine-grained economic mapping applies urban region representations to fine-scale socioeconomic mapping.
PaperPresented work on multimodal urban region sensing and representation.
Center NewsShared research on multimodal urban region representation, sensing data fusion, and downstream applications.
Center NewsThe project focuses on curriculum development for Data Science and Big Data Technology in application-oriented universities.
TeachingThe paper compares nighttime light imagery and mobile phone footprints for characterizing urban socioeconomic activity.
PublicationsThe award recognizes teaching and research contributions at the university.
BiographyThe project studies multimodal representation learning for urban agglomeration monitoring and evaluation.
ProjectThe paper characterizes fine-scale temporal dynamics of mixed urban functions for urban function identification.
PaperThe talk discussed graph neural network-based urban region representation and downstream applications.
Center NewsPresented work on multimodal urban region sensing and representation for Greater Bay Area applications.
Center NewsHonors include Outstanding Communist Party Member, Excellent Faculty Member in Annual Assessment, and Outstanding Undergraduate Thesis Supervisor.
BiographyThe study examines scaling laws and spatial behavior patterns in urban mobility activity.
PublicationsThe project studies urban agglomeration functional synergy using deep learning and geography-flow dual perspectives.
ProjectsJoined the College of Artificial Intelligence as an Assistant Professor and began building research directions in urban spatial intelligence.
Biography