Haixu Wu
20 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
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Conferences
ICML (8)
NIPS (7)
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Keywords
attention mechanism
(4)
time series forecasting
(3)
representation learning
(2)
time series
(2)
motion prediction
(2)
partial differential equation
(2)
video prediction
(1)
density estimation
(1)
offline reinforcement learning
(1)
efficient computing
(1)
time series classification
(1)
deep learning
(1)
manifold learning
(1)
generalization error
(1)
multivariate time series
(1)
non-stationary time series
(1)
monte carlo sampling
(1)
linear complexity
(1)
spectral method
(1)
self-supervised learning
(1)
Papers
Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
ICML 2025
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
ICML 2025
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
ICLR 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
NIPS 2024
RoPINN: Region Optimized Physics-Informed Neural Networks
NIPS 2024
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
NIPS 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
ICLR 2024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
ICML 2024
Transolver: A Fast Transformer Solver for PDEs on General Geometries
ICML 2024
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
ICML 2024
Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers
ICML 2024
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
NIPS 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
ICLR 2023
Solving High-Dimensional PDEs with Latent Spectral Models
ICML 2023
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
ICLR 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
NIPS 2022
Flowformer: Linearizing Transformers with Conservation Flows
ICML 2022
Supported Policy Optimization for Offline Reinforcement Learning
NIPS 2022
MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions
CVPR 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
NIPS 2021