activity
20232026
most citedAttractive and repulsive interactions in the one-dimensional swarmalator model

22 citations · 22 across the 6 of their papers we have counts for

collaborators

7 papers

stat.ML2026

Learning Interaction Kernels from Collective Steady States

Baoli Hao, Mauro Maggioni, Ming Zhong

We propose a learning procedure for system identification in interacting particle systems from single-snapshot observations of collective behaviors, unlike existing approaches that…

cs.LG2026

Event-Structured Physics-Informed Neural Networks for Differentiable Critical Clearing Boundaries

Baoli Hao, Chenxi Hu, Ming Zhong +1

Transient-stability assessment determines whether a power system can recover after a disturbance and is therefore essential to preventing generator trips and cascading outages. A k…

math.AP2026

Global Finite-Energy Weak Solutions and Sharp Entropy Decay for a Poisson-Nernst-Planck System with Interspecies Drag and Steric Effects

Baoli Hao, Fanze Kong, Kei Fong Lam +1

We derive and analyze a binary Poisson-Nernst-Planck system with steric interactions and interspecies drag through the energetic variational approach. The steric effects are incorp…

math.DS2026

Crime hotspot dynamics in residential burglary models with police response

Baoli Hao, Kamrun Mily, Annalisa Quaini +1

We develop and analyze mathematical models for residential burglary that incorporates police deployment through a delayed feedback mechanism. Motivated by empirical observations fr…

math.NA2025

A finite element framework for simulating residential burglary in realistic urban geometries

Baoli Hao, Kamrun Mily, Annalisa Quaini +1

We consider a partial differential equation (PDE) model to predict residential burglary derived from a probabilistic agent-based model through a mean-field limit operation. The PDE…

math.NA2024

Stability in Training PINNs for Stiff PDEs: Why Initial Conditions Matter

Baoli Hao, Chun Liu, Ulisses Braga-Neto +2

Training physics-informed neural networks (PINNs) on stiff, time-dependent PDEs remains a fundamental challenge due to optimization instabilities and gradient pathologies. Through…

math.DS2023★ 22 cited

Attractive and repulsive interactions in the one-dimensional swarmalator model

Baoli Hao, Ming Zhong, Kevin O'Keeffe

We study a population of swarmalators, mobile variants of phase oscillators, which run on a ring and have both attractive and repulsive interactions. This one-dimensional (1D) swar…