Haixu Wu

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wuhaixu98@gmail.com

Full Publication List

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* Equal Contribution, # Corresponding Author

Preprints

  1. ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks
    Haixu Wu, Yuezhou Ma, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long#
    arXiv 2025 / Code / Slides

Journal Articles

  1. Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model
    Haixu Wu, Hang Zhou, Mingsheng Long#, Jianmin Wang#
    Nature Machine Intelligence 2023 / PDF / Code / Slides (Cover Article, WAIC Youth Outstanding Paper Nomination)

  2. PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
    Yunbo Wang*, Haixu Wu*, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long#
    TPAMI 2022 / PDF / Code (ESI Highly Cited Paper, ESI Hot Paper)

  3. Metadata Matters for Time Series: Informative Forecasting with Transformers
    Jiaxiang Dong*, Haixu Wu*#, Yuxuan Wang*, Li Zhang, Jianmin Wang, Mingsheng Long#
    Science China Information Sciences 2025 (in Chinese) / PDF (English version)

  4. ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning
    Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long#
    TPAMI 2023 / PDF / Code

Conference Proceedings

  1. GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training
    Haixu Wu*, Minghao Guo*, Zongyi Li, Zhiyang Dou, Mingsheng Long, Kaiming He, Wojciech Matusik
    ICML 2026 / Code / Project Page (Best Paper at ICLR 2026 Foundation Model for Science Workshop)

  2. Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries
    Hang Zhou, Haixu Wu, Haonan Shangguan, Yuezhou Ma, Huikun Weng, Jianmin Wang, Mingsheng Long#
    ICML 2026 / Slides

  3. Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers
    Yuanxu Sun*, Yuezhou Ma*, Haixu Wu#, Guanyang Zeng, Muye Chen, Jianmin Wang, Mingsheng Long#
    ICML 2026

  4. Neural Modular Physics for Elastic Simulation
    Yifei Li, Haixu Wu, Zeyi Xu, Tuur Stuyck, Wojciech Matusik
    ICML 2026

  5. FlashBias: Fast Computation of Attention with Bias
    Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long#
    NeurIPS 2025 / PDF / Code / Slides / Poster

  6. PhySense: Sensor Placement Optimization for Accurate Physics Sensing
    Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long#
    NeurIPS 2025 / PDF / Code / Slides (Oral Paper)

  7. Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers
    Hang Zhou*, Yuezhou Ma*, Haixu Wu#, Haowen Wang, Mingsheng Long#
    ICML 2025 / PDF / Code / Slides / Competition (3rd in NeurIPS FAIR Universe Competition)

  8. Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
    Huakun Luo*, Haixu Wu*, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long#
    ICML 2025 / PDF / Code / Slides

  9. RoPINN: Region Optimized Physics-Informed Neural Networks
    Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long#
    NeurIPS 2024 / PDF / Code / Slides

  10. DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
    Qilong Ma*, Haixu Wu*, Lanxiang Xing, Shangchen Miao, Mingsheng Long#
    NeurIPS 2024 / PDF / Code / Slides

  11. TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
    Yuxuan Wang*, Haixu Wu*, Jiaxiang Dong, Yong Liu, Yunzhong Qiu, Haoran Zhang, Jianmin Wang, Mingsheng Long#
    NeurIPS 2024 / PDF / Code / Slides

  12. Transolver: A Fast Transformer Solver for PDEs on General Geometries
    Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long#
    ICML 2024 / PDF / Code / Slides / Poster (Spotlight Paper)

  13. HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
    Lanxiang Xing*, Haixu Wu*, Yuezhou Ma, Jianmin Wang, Mingsheng Long#
    ICML 2024 / PDF / Code / Slides

  14. TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
    Jiaxiang Dong*, Haixu Wu*, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long#
    ICML 2024 / PDF / Code / Slides

  15. Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers
    Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long#
    ICML 2024 / PDF / Code

  16. iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
    Yong Liu*, Tengge Hu*, Haoran Zhang*, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long#
    ICLR 2024 / PDF / Code / Slides (Spotlight Paper, PaperDigest Most Influential Paper)

  17. TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
    Shiyu Wang*, Haixu Wu*, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
    ICLR 2024 / PDF / Code / Slides

  18. SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
    Jiaxiang Dong*, Haixu Wu*, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long#
    NeurIPS 2023 / PDF / Code / Slides (Spotlight Paper)

  19. Solving High-Dimensional PDEs with Latent Spectral Models
    Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long#
    ICML 2023 / PDF / Code / Slides

  20. TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
    Haixu Wu*, Tengge Hu*, Yong Liu*, Hang Zhou, Jianmin Wang, Mingsheng Long#
    ICLR 2023 / PDF / Code / Slides (PaperDigest Most Influential Paper)

  21. Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting
    Yong Liu*, Haixu Wu*, Jianmin Wang, Mingsheng Long#
    NeurIPS 2022 / PDF / Code / Slides

  22. Supported Policy Optimization for Offline Reinforcement Learning
    Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long#
    NeurIPS 2022 / PDF / Code / Slides

  23. Flowformer: Linearizing Transformers with Conservation Flows
    Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long#
    ICML 2022 / PDF / Code / Slides

  24. Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
    Jiehui Xu*, Haixu Wu*, Jianmin Wang, Mingsheng Long#
    ICLR 2022 / PDF / Code / Slides (Spotlight Paper)

  25. Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
    Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long#
    NeurIPS 2021 / PDF / Code / Slides (PaperDigest Most Influential Paper)

  26. MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
    Haixu Wu*, Zhiyu Yao*, Jianmin Wang, Mingsheng Long#
    CVPR 2021 / PDF / Appendix / Code / Slides

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