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Haixu Wu
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2020 – today
- 2024
- [c15]Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long:
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. ICLR 2024 - [c14]Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou:
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. ICLR 2024 - [c13]Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long:
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling. ICML 2024 - [c12]Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long:
Transolver: A Fast Transformer Solver for PDEs on General Geometries. ICML 2024 - [c11]Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long:
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction. ICML 2024 - [c10]Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long:
Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers. ICML 2024 - [i21]Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long:
Transolver: A Fast Transformer Solver for PDEs on General Geometries. CoRR abs/2402.02366 (2024) - [i20]Qilong Ma, Haixu Wu, Lanxiang Xing, Jianmin Wang, Mingsheng Long:
EuLagNet: Eulerian Fluid Prediction with Lagrangian Dynamics. CoRR abs/2402.02425 (2024) - [i19]Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long:
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling. CoRR abs/2402.02475 (2024) - [i18]Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Yunzhong Qiu, Haoran Zhang, Jianmin Wang, Mingsheng Long:
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables. CoRR abs/2402.19072 (2024) - [i17]Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long:
RoPINN: Region Optimized Physics-Informed Neural Networks. CoRR abs/2405.14369 (2024) - [i16]Shiyu Wang
, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. CoRR abs/2405.14616 (2024) - [i15]Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long:
Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers. CoRR abs/2405.17527 (2024) - [i14]Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Mingsheng Long, Jianmin Wang:
Deep Time Series Models: A Comprehensive Survey and Benchmark. CoRR abs/2407.13278 (2024) - 2023
- [j3]Haixu Wu, Hang Zhou, Mingsheng Long
Interpretable weather forecasting for worldwide stations with a unified deep model. Nat. Mac. Intell. 5(6): 602-611 (2023) - [j2]Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2208-2225 (2023) - [j1]Zhiyu Yao
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13281-13296 (2023) - [c9]Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long:
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. ICLR 2023 - [c8]Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long:
Solving High-Dimensional PDEs with Latent Spectral Models. ICML 2023: 37417-37438 - [c7]Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long:
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. NeurIPS 2023 - [i13]Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
Solving High-Dimensional PDEs with Latent Spectral Models. CoRR abs/2301.12664 (2023) - [i12]Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. CoRR abs/2302.00861 (2023) - [i11]Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. CoRR abs/2310.06625 (2023) - [i10]Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long:
HelmSim: Learning Helmholtz Dynamics for Interpretable Fluid Simulation. CoRR abs/2310.10565 (2023) - 2022
- [c6]Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long:
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. ICLR 2022 - [c5]Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang
Flowformer: Linearizing Transformers with Conservation Flows. ICML 2022: 24226-24242 - [c4]Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. NeurIPS 2022 - [c3]Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long:
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting. NeurIPS 2022 - [i9]Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long:
Supported Policy Optimization for Offline Reinforcement Learning. CoRR abs/2202.06239 (2022) - [i8]Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long:
Flowformer: Linearizing Transformers with Conservation Flows. CoRR abs/2202.06258 (2022) - [i7]Yong Liu, Haixu Wu, Jianmin Wang
Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting. CoRR abs/2205.14415 (2022) - [i6]Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. CoRR abs/2210.02186 (2022) - 2021
- [c2]Haixu Wu, Zhiyu Yao, Jianmin Wang
MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions. CVPR 2021: 15435-15444 - [c1]Haixu Wu, Jiehui Xu, Jianmin Wang
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. NeurIPS 2021: 22419-22430 - [i5]Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wang:
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions. CoRR abs/2103.02243 (2021) - [i4]Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long:
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. CoRR abs/2103.09504 (2021) - [i3]Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long:
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. CoRR abs/2106.13008 (2021) - [i2]Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long:
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. CoRR abs/2110.02642 (2021) - [i1]Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long:
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. CoRR abs/2110.03882 (2021)
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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