ML Anthology

Wu, Haixu

23 publications

NeurIPS 2025 FlashBias: Fast Computation of Attention with Bias Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long
NeurIPS 2025 PhySense: Sensor Placement Optimization for Accurate Physics Sensing Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long
ICML 2025 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
ICLRW 2025 Unisolver: PDE-Conditional Transformers Are Universal Neural PDE Solvers Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long
ICML 2025 Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long
NeurIPS 2024 DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma, Haixu Wu, Lanxiang Xing, Shangchen Miao, Mingsheng Long
ICML 2024 HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long
ICML 2024 Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long
NeurIPS 2024 RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
ICLR 2024 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
ICML 2024 TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yun-Zhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long
NeurIPS 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long
ICML 2024 Transolver: A Fast Transformer Solver for PDEs on General Geometries Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long
ICLR 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
NeurIPS 2023 SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
ICML 2023 Solving High-Dimensional PDEs with Latent Spectral Models Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
ICLR 2023 TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
ICLR 2022 Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long
ICML 2022 Flowformer: Linearizing Transformers with Conservation Flows Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
NeurIPS 2022 Non-Stationary Transformers: Exploring the Stationarity in Time Series Forecasting Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
NeurIPS 2022 Supported Policy Optimization for Offline Reinforcement Learning Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
NeurIPS 2021 Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
CVPR 2021 MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long