activity
20072026
most citedComplex networks embedded in space: Dimension and scaling relations between mass, topological distance and Euclidean distance

35 citations · 61 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Real-Time Structural Detection for Indoor Navigation from 3D LiDAR Using Bird's-Eye-View Images

Guanliang Li, Pedro Espinosa-Angulo, David Perez-Saura +1

Efficient structural perception is essential for mapping and autonomous navigation on resource-constrained robots. Existing 3D methods are computationally prohibitive, while tradit…

cs.CL2026

V-FAT: Benchmarking Visual Fidelity Against Text-bias

Ziteng Wang, Yujie He, Guanliang Li +3

Recent advancements in Multimodal Large Language Models (MLLMs) have demonstrated impressive performance on standard visual reasoning benchmarks. However, there is growing concern…

q-bio.NC2025

Learning High-Order Relationships with Hypergraph Attention-based Spatio-Temporal Aggregation for Brain Disease Analysis

Wenqi Hu, Xuerui Su, Guanliang Li +2

Traditional functional connectivity based on functional magnetic resonance imaging (fMRI) can only capture pairwise interactions between brain regions. Hypergraphs, which reveal hi…

physics.soc-ph2012★ 35 cited

Complex networks embedded in space: Dimension and scaling relations between mass, topological distance and Euclidean distance

Thorsten Emmerich, Armin Bunde, Shlomo Havlin +2

Many real networks are embedded in space, where in some of them the links length decay as a power law distribution with distance. Indications that such systems can be characterized…

cond-mat.stat-mech2007★ 26 cited

Transport and Percolation Theory in Weighted Networks

Guanliang Li, Lidia A. Braunstein, Sergey V. Buldyrev +2

We study the distribution of the equivalent conductance for Erdős-Rényi (ER) and scale-free (SF) weighted resistor networks with nodes. Each link has conductance $g\…