Hongsheng Liu
5 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Architectures
(4)
Application Areas
(3)
Core Methods
(3)
Models
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Optimization
(2)
Optimization & Theory · Machine Learning
(2)
Interdisciplinary
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Science
(1)
Keywords
partial differential equation
(4)
physics-informed neural network
(3)
coarse grid
(2)
physics-informed learning
(2)
numerical simulation
(2)
spatiotemporal dynamics
(2)
convolutional filter
(1)
point source
(1)
dirac delta function
(1)
uncertainty weighting
(1)
latent vector
(1)
graph neural network
(1)
neural network
(1)
parametric partial differential equation
(1)
coarse mesh
(1)
neural correction
(1)
neural network correction
(1)
finite-difference stencils
(1)
equation residual
(1)
manifold learning
(1)
Papers
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
ICML 2025
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
ICLR 2025
P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
NeurIPS 2024
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
IJCAI 2022
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
NeurIPS 2022