Author

Shenhao Wang

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#machine learning Preprint Sep 2026

USAI-Quant: A Quantitative Reasoning Benchmark for Vision-Language Models in Built Environments

Large vision-language models (VLMs) have emerged as a powerful paradigm for urban and spatial AI. However, current state-of-the-art large VLMs still struggle with quantitative reasoning on remote sensing imagery. Existing benchmarks and algorithms are predominantly based on qualitative Visual Question Answering (VQA),...

Dong-Dong Wang, Q. Song, Yu-Zhou Chen et al. · 0 citations

#machine learning Preprint Sep 2026

Plan-to-Synthesis: Cross-City Human Mobility Generation via Semantic Latent Flow Matching

Human mobility generation aims to synthesize realistic point-of-interest (POI) visitation trajectories and has become an important tool for travel behavior modeling, transportation management, and urban planning. Existing diffusion-based methods achieve high fidelity but require per-city generation, given the inherent...

Zhou-Fu Wang, Bao-Shen Guo, Zhi-Qing Hong et al. · 0 citations

Preprint Aug 2026

BASeg: Boundary-Aware Remote Sensing Segmentation with Structural Penalties

A Mahalanobis-Angle Boundary Loss (MABL) is proposed that explicitly enhances boundary and shape consistency and is introduced, built upon MABL, a boundary- aware remote sensing segmentation framework with Struc- tural Penalties.

Yue-Xi Song, Kai-Lai Sun, Zhuoyue Wang et al. · 0 citations