Publications

Haoan Feng, Xin Xu, Leila De Floriani (2026). Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data. Poster, in ACM SIGSPATIAL 2026, to appear.

Haoan Feng, Xin Xu, Leila De Floriani (2026). ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation. In ACM SIGSPATIAL 2026, to appear.

Yutian Tao, Haoan Feng, Xin Xu, Leila De Floriani (2026). A Topology-Guided GeoAI Agentic Framework for Urban Flood Screening. In ACM SIGSPATIAL 2026 Workshop / Student Challenge (OASIS), to appear.

Haoan Feng, Diana Aldana, Tiago Novello, Leila De Floriani (2026). SASNet: Spatially-Adaptive Sinusoidal Networks for INRs. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026).

Haoan Feng, Yunting Song, Leila De Floriani (2026). A Parallel Scale-Space Method for Critical Features Tracking on Triangulated Irregular Networks. In ACM Transactions on Spatial Algorithms and Systems (TSAS), Vol. 12, Issue 4.

Haoan Feng, Sri Harsha Musunuri, Guan-Ming Su (2026). Geometry-Guided Camera Motion Understanding in VideoLLMs. In CVPR 2026 Workshop on Pixel-level Video Understanding in the Wild (PVUW).

Diana Aldana, Haoan Feng, Tiago Novello, Leila De Floriani (2024). Structured Pruning in Implicit Neural Representations. (Work in progress).

Haoan Feng, Yunting Song, Leila De Floriani (2024). Critical Features Tracking on Triangulated Irregular Networks by a Scale-Space Method. In The 32nd ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’24). (Oral Presentation).

Haoan Feng, Xin Xu, Leila De Floriani (2024). ImplicitTerrain: a Continuous Surface Model for Terrain Data Analysis. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. (Oral Presentation @ INRV Workshop).

Haoan Feng (2020). Linear Structure Vectorization in Large-Scale Landscape Point Cloud (MPhil Thesis).