5 citations · 17 across the 14 of their papers we have counts for
5 papers · 1 filter
Solid-Fluid Interaction on Particle Flow Maps
Duowen Chen, Zhiqi Li, Junwei Zhou +3
We propose a novel solid-fluid interaction method for coupling elastic solids with impulse flow maps. Our key idea is to unify the representation of fluid and solid components as p…
Particle-Laden Fluid on Flow Maps
Zhiqi Li, Duowen Chen, Candong Lin +2
We propose a novel framework for simulating ink as a particle-laden flow using particle flow maps. Our method addresses the limitations of existing flow-map techniques, which strug…
Lagrangian Covector Fluid with Free Surface
Zhiqi Li, Barnabás Börcsök, Duowen Chen +3
This paper introduces a novel Lagrangian fluid solver based on covector flow maps. We aim to address the challenges of establishing a robust flow-map solver for incompressible flui…
FedGuCci: Making Local Models More Connected in Landscape for Federated Learning
Zexi Li, Jie Lin, Zhiqi Li +5
Federated learning (FL) involves multiple heterogeneous clients collaboratively training a global model via iterative local updates and model fusion. The generalization of FL's glo…
Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
Zexi Li, Zhiqi Li, Jie Lin +5
Model fusion aims to integrate several deep neural network (DNN) models' knowledge into one by fusing parameters, and it has promising applications, such as improving the generaliz…