Prati
Haixu Wu
Haixu Wu
Ph.D. student, Tsinghua University
Potvrđena adresa e-pošte na mails.tsinghua.edu.cn - Početna stranica
Naslov
Citirano
Citirano
Godina
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
H Wu, J Xu, J Wang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2021
10202021
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
J Xu, H Wu, J Wang, M Long
International Conference on Learning Representations (ICLR), 2021
2832021
PredRNN: A recurrent neural network for spatiotemporal predictive learning
Y Wang, H Wu, J Zhang, Z Gao, J Wang, P Yu, M Long
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
2352022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
H Wu, T Hu, Y Liu, H Zhou, J Wang, M Long
International Conference on Learning Representations (ICLR), 2022
2212022
Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting
Y Liu, H Wu, J Wang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2022
169*2022
MotionRNN: A flexible model for video prediction with spacetime-varying motions
H Wu, Z Yao, J Wang, M Long
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
1102021
iTransformer: Inverted transformers are effective for time series forecasting
Y Liu, T Hu, H Zhang, H Wu, S Wang, L Ma, M Long
International Conference on Learning Representations (ICLR), 2023
512023
Flowformer: Linearizing Transformers with Conservation Flows
H Wu, J Wu, J Xu, J Wang, M Long
International Conference on Machine Learning (ICML), 2022
482022
Supported Policy Optimization for Offline Reinforcement Learning
J Wu, H Wu, Z Qiu, J Wang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2022
342022
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
J Dong, H Wu, H Zhang, L Zhang, J Wang, M Long
Advances in Neural Information Processing Systems (NeurIPS), 2023
312023
Interpretable weather forecasting for worldwide stations with a unified deep model
H Wu, H Zhou, M Long, J Wang
Nature Machine Intelligence 5 (6), 602-611, 2023
192023
Solving High-Dimensional PDEs with Latent Spectral Models
H Wu, T Hu, H Luo, J Wang, M Long
International Conference on Machine Learning (ICML), 2023
162023
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning
Z Yao, Y Wang, H Wu, J Wang, M Long
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
42023
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
Y Wang, H Wu, J Dong, Y Liu, Y Qiu, H Zhang, J Wang, M Long
arXiv preprint arXiv:2402.19072, 2024
12024
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
J Dong, H Wu, Y Wang, Y Qiu, L Zhang, J Wang, M Long
arXiv preprint arXiv:2402.02475, 2024
12024
Transolver: A Fast Transformer Solver for PDEs on General Geometries
H Wu, H Luo, H Wang, J Wang, M Long
arXiv preprint arXiv:2402.02366, 2024
12024
EuLagNet: Eulerian Fluid Prediction with Lagrangian Dynamics
Q Ma, H Wu, L Xing, J Wang, M Long
arXiv preprint arXiv:2402.02425, 2024
2024
HelmSim: Learning Helmholtz Dynamics for Interpretable Fluid Simulation
L Xing, H Wu, Y Ma, J Wang, M Long
arXiv preprint arXiv:2310.10565, 2023
2023
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
S Wang, H Wu, X Shi, T Hu, H Luo, L Ma, JY Zhang, J Zhou
International Conference on Learning Representations (ICLR), 2023
2023
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