18 citations · 18 across the 4 of their papers we have counts for
5 papers
A Topology-Guided GeoAI Agentic Framework for Urban Flood Screening
Yutian Tao, Haoan Feng, Xin Xu +1
Open-world geographic artificial intelligence (GeoAI) agents can transform public geospatial data into accessible decision support for real-world challenges, but must balance auton…
Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data
Haoan Feng, Xin Xu, Leila De Floriani
Implicit neural representations (INRs) model a signal as a continuous coordinate-to-value function. For terrain elevation data, this supports analytic derivatives, arbitrary-resolu…
ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation
Haoan Feng, Xin Xu, Leila De Floriani
Digital elevation models (DEMs) underpin terrain analysis in Geographic Information Systems (GIS), but commonly as raster representation, they rely on interpolation for off-grid sa…
ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis
Haoan Feng, Xin Xu, Leila De Floriani
Digital terrain models (DTMs) are pivotal in remote sensing, cartography, and landscape management, requiring accurate surface representation and topological information restoratio…
The Stellar decomposition: A compact representation for simplicial complexes and beyond
Riccardo Fellegara, Kenneth Weiss, Leila De Floriani
We introduce the Stellar decomposition, a model for efficient topological data structures over a broad range of simplicial and cell complexes. A Stellar decomposition of a complex…