Haixu Wu - RankMe

55 papers A* 20Journal 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers. CoRR Yuanxu Sun, Yuezhou Ma, Haixu Wu, Guanyang Zeng, Muye Chen, Jianmin Wang, Mingsheng Long
2026	J	`jnl`	GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training. CoRR Haixu Wu, Minghao Guo, Zongyi Li, Zhiyang Dou, Mingsheng Long, Kaiming He, Wojciech Matusik
2026	J	`jnl`	Latent Generative Solvers for Generalizable Long-Term Physics Simulation. CoRR Zituo Chen, Haixu Wu, Sili Deng
2026	J	`jnl`	Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries. CoRR Hang Zhou, Haixu Wu, Haonan Shangguan, Yuezhou Ma, Huikun Weng, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Accuracy Law for the Future of Deep Time Series Forecasting. CoRR Yuxuan Wang, Haixu Wu, Yuezhou Ma, Yuchen Fang, Ziyi Zhang, Yong Liu, Shiyu Wang, Zhou Ye, Yang Xiang, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	FlashBias: Fast Computation of Attention with Bias. CoRR Haixu Wu, Minghao Guo, Yuezhou Ma, Yuanxu Sun, Jianmin Wang, Wojciech Matusik, Mingsheng Long
2025	J	`jnl`	Neural Modular Physics for Elastic Simulation. CoRR Yifei Li, Haixu Wu, Zeyi Xu, Tuur Stuyck, Wojciech Matusik
2025	J	`jnl`	PhySense: Sensor Placement Optimization for Accurate Physics Sensing. CoRR Yuezhou Ma, Haixu Wu, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks. CoRR Haixu Wu, Yuezhou Ma, Hang Zhou, Huikun Weng, Jianmin Wang, Mingsheng Long
2025	A*	`conf`	Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries. ICML Huakun Luo, Haixu Wu, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries. CoRR Huakun Luo, Haixu Wu, Hang Zhou, Lanxiang Xing, Yichen Di, Jianmin Wang, Mingsheng Long
2025	A*	`conf`	Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers. ICML Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long
2024	J	`jnl`	Deep Time Series Models: A Comprehensive Survey and Benchmark. CoRR Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Mingsheng Long, Jianmin Wang
2024	A*	`conf`	DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction. NeurIPS Qilong Ma, Haixu Wu, Lanxiang Xing, Shangchen Miao, Mingsheng Long
2024	J	`jnl`	EuLagNet: Eulerian Fluid Prediction with Lagrangian Dynamics. CoRR Qilong Ma, Haixu Wu, Lanxiang Xing, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction. ICML Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Metadata Matters for Time Series: Informative Forecasting with Transformers. CoRR Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Li Zhang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers. ICML Zhiyu Yao, Jian Wang, Haixu Wu, Jingdong Wang, Mingsheng Long
2024	A*	`conf`	RoPINN: Region Optimized Physics-Informed Neural Networks. NeurIPS Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	RoPINN: Region Optimized Physics-Informed Neural Networks. CoRR Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. ICLR Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
2024	J	`jnl`	TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. CoRR Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou
2024	A*	`conf`	TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling. ICML Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling. CoRR Jiaxiang Dong, Haixu Wu, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables. NeurIPS Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables. CoRR Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Yong Liu, Yunzhong Qiu, Haoran Zhang, Jianmin Wang, Mingsheng Long
2024	A*	`conf`	Transolver: A Fast Transformer Solver for PDEs on General Geometries. ICML Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Transolver: A Fast Transformer Solver for PDEs on General Geometries. CoRR Haixu Wu, Huakun Luo, Haowen Wang, Jianmin Wang, Mingsheng Long
2024	J	`jnl`	Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers. CoRR Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long
2024	A*	`conf`	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. ICLR Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2023	J	`jnl`	HelmSim: Learning Helmholtz Dynamics for Interpretable Fluid Simulation. CoRR Lanxiang Xing, Haixu Wu, Yuezhou Ma, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Interpretable weather forecasting for worldwide stations with a unified deep model. Nat. Mac. Intell. Haixu Wu, Hang Zhou, Mingsheng Long, Jianmin Wang
2023	J	`jnl`	ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long
2023	A*	`conf`	SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. NeurIPS Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. CoRR Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long
2023	A*	`conf`	Solving High-Dimensional PDEs with Latent Spectral Models. ICML Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	Solving High-Dimensional PDEs with Latent Spectral Models. CoRR Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long
2023	A*	`conf`	TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. ICLR Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
2023	J	`jnl`	iTransformer: Inverted Transformers Are Effective for Time Series Forecasting. CoRR Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
2022	A*	`conf`	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. ICLR Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Flowformer: Linearizing Transformers with Conservation Flows. ICML Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Flowformer: Linearizing Transformers with Conservation Flows. CoRR Haixu Wu, Jialong Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting. NeurIPS Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Non-stationary Transformers: Rethinking the Stationarity in Time Series Forecasting. CoRR Yong Liu, Haixu Wu, Jianmin Wang, Mingsheng Long
2022	A*	`conf`	Supported Policy Optimization for Offline Reinforcement Learning. NeurIPS Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	Supported Policy Optimization for Offline Reinforcement Learning. CoRR Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
2022	J	`jnl`	TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis. CoRR Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy. CoRR Jiehui Xu, Haixu Wu, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. NeurIPS Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting. CoRR Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	ModeRNN: Harnessing Spatiotemporal Mode Collapse in Unsupervised Predictive Learning. CoRR Zhiyu Yao, Yunbo Wang, Haixu Wu, Jianmin Wang, Mingsheng Long
2021	A*	`conf`	MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions. CVPR Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long
2021	J	`jnl`	MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions. CoRR Haixu Wu, Zhiyu Yao, Mingsheng Long, Jianmin Wang
2021	J	`jnl`	PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. CoRR Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long