Haixu Wu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 35

Top Topics

Reinforcement Learning

Anomaly Based Intrusion Detection

Top Venues

Publications

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)
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. CoRR (2024)
Qilong Ma, Haixu Wu, Lanxiang Xing, Jianmin Wang, Mingsheng Long
EuLagNet: Eulerian Fluid Prediction with Lagrangian Dynamics. CoRR (2024)
Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long
Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers. CoRR (2024)
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)
Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Mingsheng Long, Jianmin Wang
Deep Time Series Models: A Comprehensive Survey and Benchmark. CoRR (2024)
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 (2024)
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 (2024)
Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
RoPINN: Region Optimized Physics-Informed Neural Networks. CoRR (2024)
Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long
Transolver: A Fast Transformer Solver for PDEs on General Geometries. CoRR (2024)
Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. CoRR (2023)
Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Haixu Wu, Hang Zhou, Mingsheng Long, Jianmin Wang
Interpretable weather forecasting for worldwide stations with a unified deep model. Nat. Mac. Intell. 5 (6) (2023)
Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
Solving High-Dimensional PDEs with Latent Spectral Models. CoRR (2023)
Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
Solving High-Dimensional PDEs with Latent Spectral Models. ICML (2023)
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)
Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. ICLR (2023)
Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long
HelmSim: Learning Helmholtz Dynamics for Interpretable Fluid Simulation. CoRR (2023)
Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. CoRR (2023)
Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting. CoRR (2022)
Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
Supported Policy Optimization for Offline Reinforcement Learning. CoRR (2022)
Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting. NeurIPS (2022)
Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. CoRR (2022)
Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
Flowformer: Linearizing Transformers with Conservation Flows. CoRR (2022)
Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. ICLR (2022)
Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
Supported Policy Optimization for Offline Reinforcement Learning. NeurIPS (2022)
Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
Flowformer: Linearizing Transformers with Conservation Flows. ICML (2022)
Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. CoRR (2021)
Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long
MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions. CVPR (2021)
Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long
ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. CoRR (2021)
Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. CoRR (2021)
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 (2021)
Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. NeurIPS (2021)
Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wang
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions. CoRR (2021)