Huakun Luo
5 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
👑
Triple Crown
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Mathematics & Optimization
(2)
Application Areas
(2)
Architectures
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Mathematics
(1)
Methods
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
partial differential equation
(2)
pdes
(2)
time series forecasting
(1)
generalization error
(1)
monte carlo sampling
(1)
linear complexity
(1)
spectral method
(1)
physics-informed neural network
(1)
neural solver
(1)
latent space
(1)
trust region
(1)
neural operator
(1)
long-term forecasting
(1)
industrial simulation
(1)
adaptive mechanism
(1)
seasonal-trend decomposition
(1)
short-term forecasting
(1)
physics attention
(1)
region optimization
(1)
multiscale mixing
(1)
Papers
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
ICML 2025
RoPINN: Region Optimized Physics-Informed Neural Networks
NeurIPS 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
ICLR 2024
Transolver: A Fast Transformer Solver for PDEs on General Geometries
ICML 2024
Solving High-Dimensional PDEs with Latent Spectral Models
ICML 2023