Hongsheng Liu
5 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (13) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(15)
π
Interdisciplinary Bridge
π
Keyword Champion
(3)
Conferences
NIPS (2)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
partial differential equation
(3)
physics-informed neural network
(3)
operator learning
(1)
physics-informed learning
(1)
spatiotemporal dynamics
(1)
coarse grid
(1)
turbulent flow
(1)
convolutional filter
(1)
point source
(1)
dirac delta function
(1)
uncertainty weighting
(1)
latent vector
(1)
neural network
(1)
numerical simulation
(1)
parametric partial differential equation
(1)
coarse mesh
(1)
manifold learning
(1)
neural correction
(1)
deep neural network
(1)
Papers
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
ICLR 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
ICML 2025
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
NIPS 2024
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
NIPS 2022
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
IJCAI 2022