Mingsheng Long
- iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
2023/10/10 by Yong Liu, Tengge Hu, Liu, Yong +11 · 1 voice · 168 citations
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Neural Networks and Applications #Stock Market Forecasting Methods
- Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
2021/06/24 by Haixu Wu, Wu, Haixu, Jiehui Xu +5 · 270 citations
Computer Science · Decision Sciences · Engineering · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Energy Load and Power Forecasting
- TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
2022/10/05 by Haixu Wu, Wu, Haixu, Tengge Hu +9 · 181 citations
Computer Science · Social Sciences · #Computational Physics and Python Applications #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- Learning Transferable Features with Deep Adaptation Networks
2015/02/10 by Mingsheng Long, Long, Mingsheng, Yue Cao +5 · 103 citations
Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Unsupervised Domain Adaptation with Residual Transfer Networks
2016/02/14 by Mingsheng Long, Zhu Han, Long, Mingsheng +5 · 85 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Cancer-related molecular mechanisms research
- Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
2022/05/28 by Yong Liu, Liu, Yong, Haixu Wu +5 · 58 citations
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Forecasting Techniques and Applications
- Sundial: A Family of Highly Capable Time Series Foundation Models
2025/02/02 by Yong Liu, Qin Guo, Guo Qin +14 · 1 voice · 46 citations
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting #cs.LG
- Deep Transfer Learning with Joint Adaptation Networks
2016/05/21 by Mingsheng Long, Zhu Han, Long, Mingsheng +5 · 30 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Speech Recognition and Synthesis
- TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
2024/02/29 by Yuxuan Wang, Wang, Yuxuan, Haixu Wu +14 · 60 citations
Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
- Transolver: A Fast Transformer Solver for PDEs on General Geometries
2024/02/04 by Haixu Wu, Huakun Luo, Wu, Haixu +7 · 55 citations
Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Magneto-Optical Properties and Applications #Numerical Analysis (math.NA) #Photonic and Optical Devices #Semiconductor Lasers and Optical Devices
- Timer: Generative Pre-trained Transformers Are Large Time Series Models
2024/02/04 by Yong Liu, Liu, Yong, Haoran Zhang +9 · 50 citations
Computer Science · #Time Series Analysis and Forecasting
- Conditional Adversarial Domain Adaptation
2017/05/26 by Mingsheng Long, Long, Mingsheng, Zhangjie Cao +5 · 32 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- LogME: Practical Assessment of Pre-trained Models for Transfer Learning
2021/02/22 by Kaichao You, Yong Liu, You, Kaichao +5 · 23 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
2021/03/17 by Yunbo Wang, Wang, Yunbo, Haixu Wu +11 · 19 citations
Computer Science · #Advanced Vision and Imaging #Human Pose and Action Recognition #Advanced Image and Video Retrieval Techniques
- iVideoGPT: Interactive VideoGPTs are Scalable World Models
2024/05/24 by Jialong Wu, Wu, Jialong, Yin, Shaofeng +10 · 36 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO) #Video Analysis and Summarization
- Bridging Theory and Algorithm for Domain Adaptation
2019/04/11 by Yuchen Zhang, Tianle Liu, Zhang, Yuchen +5 · 18 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Multimodal Machine Learning Applications
- Multi-Adversarial Domain Adaptation
2018/09/04 by Zhongyi Pei, Pei, Zhongyi, Zhangjie Cao +5 · 14 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI
- Solving High-Dimensional PDEs with Latent Spectral Models
2023/01/30 by Haixu Wu, Tengge Hu, Wu, Haixu +7 · 16 citations
Computer Science · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Skilful nowcasting of extreme precipitation with NowcastNet
2023/07/05 by Yuchen Zhang, Mingsheng Long, Kaiyuan Chen +4 · 17 citations
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Flood Risk Assessment and Management #Precipitation Measurement and Analysis
- Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
2023/05/30 by Yong Liu, Liu, Yong, Chenyu Li +5 · 16 citations
Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Time Series Analysis and Forecasting #Lattice Boltzmann Simulation Studies
- PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
2018/04/17 by Yunbo Wang, Wang, Yunbo, Zhifeng Gao +7 · 10 citations
Computer Science · #Machine Learning and Data Classification
- AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
2024/02/04 by Yong Liu, Liu, Yong, Qin Guo +7 · 15 citations
Computer Science · #Time Series Analysis and Forecasting #Topic Modeling #Advanced Text Analysis Techniques
- Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries
2025/02/04 by Huakun Luo, Luo, Huakun, Haixu Wu +10 · 24 citations
Physics and Astronomy · #Model Reduction and Neural Networks
- Partial Adversarial Domain Adaptation
2018/08/10 by Zhangjie Cao, Cao, Zhangjie, Lijia Ma +5 · 9 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Viral Infections and Vectors
- Supported Policy Optimization for Offline Reinforcement Learning
2022/02/13 by Jialong Wu, Wu, Jialong, Haixu Wu +7 · 8 citations
Computer Science · Engineering · #Reinforcement Learning in Robotics #Smart Grid Energy Management #Smart Parking Systems Research
- Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
2024/10/07 by Yong Liu, Qin Guo, Liu, Yong +7 · 18 citations
Computer Science · Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
- CLIPood: Generalizing CLIP to Out-of-Distributions
2023/02/02 by Yang Shu, Shu, Yang, Xingzhuo Guo +9 · 9 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Cycle Self-Training for Domain Adaptation
2021/03/05 by Liu, Hong, Jianmin Wang, Wang, Jianmin +2 · 6 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Multimodal Machine Learning Applications
- Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
2024/05/27 by Zhou Hang, Yuezhou Ma, Zhou, Hang +7 · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Cloud Computing and Resource Management #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Parallel Computing and Optimization Techniques #Quantum Computing Algorithms and Architecture
- Spatiotemporal Pyramid Network for Video Action Recognition
2019/03/04 by Yunbo Wang, Wang, Yunbo, Mingsheng Long +5 · 4 citations
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
- ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
2023/01/30 by Junguang Jiang, Jiang, Junguang, Baixu Chen +11 · 5 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Multimodal Machine Learning Applications
- Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
2018/11/19 by Yunbo Wang, Jianjin Zhang, Wang, Yunbo +9 · 3 citations
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Hydrological Forecasting Using AI
- Flowformer: Linearizing Transformers with Conservation Flows
2022/02/13 by Haixu Wu, Jialong Wu, Wu, Haixu +7 · 4 citations
Computer Science · #Neural Networks and Reservoir Computing #Neural Networks and Applications #Music and Audio Processing
- Partial Transfer Learning with Selective Adversarial Networks
2017/07/25 by Zhangjie Cao, Cao, Zhangjie, Mingsheng Long +5 · 4 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Multimodal Machine Learning Applications
- Transferable Calibration with Lower Bias and Variance in Domain Adaptation
2020/07/16 by Ximei Wang, Mingsheng Long, Wang, Ximei +5 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Multimodal Machine Learning Applications
- RLVR-World: Training World Models with Reinforcement Learning
2025/05/20 by Jialong Wu, Wu, Jialong, Yin, Shaofeng +4 · 13 citations
Computer Science · Engineering · #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics #Robot Manipulation and Learning
- How Does Learning Rate Decay Help Modern Neural Networks?
2019/08/05 by Kaichao You, Mingsheng Long, You, Kaichao +5 · 6 citations
Computer Science · #Neural Networks and Applications #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
- Debiased Self-Training for Semi-Supervised Learning
2022/02/15 by Baixu Chen, Junguang Jiang, Chen, Baixu +9 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Recommender Transformers with Behavior Pathways
2022/06/13 by Zhiyu Yao, Xinyang Chen, Yao, Zhiyu +11 · 3 citations
Computer Science · #Recommender Systems and Techniques #Topic Modeling #Generative Adversarial Networks and Image Synthesis
- Long-Sequence Recommendation Models Need Decoupled Embeddings
2024/10/03 by Ningya Feng, Junwei Pan, Feng, Ningya +15 · 6 citations
Computer Science · #Machine Learning in Healthcare
- MetaSets: Meta-Learning on Point Sets for Generalizable Representations
2022/04/15 by Chao Huang, Zhangjie Cao, Huang, Chao +7 · 2 citations
Computer Science · Earth and Planetary Sciences · Engineering · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Optical measurement and interference techniques
- Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models
2022/06/08 by Yang Shu, Shu, Yang, Zhangjie Cao +7 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- CompilerDream: Learning a Compiler World Model for General Code Optimization
2024/04/24 by Chaoyi Deng, Jialong Wu, Deng, Chaoyi +6 · 3 citations
Computer Science · #Parallel Computing and Optimization Techniques #Software Testing and Debugging Techniques
- Deep Triplet Quantization
2019/02/01 by Bin Liu, Liu, Bin, Yue Cao +7 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
- Metadata Matters for Time Series: Informative Forecasting with Transformers
2024/10/04 by Jiaxiang Dong, Haixu Wu, Dong, Jiaxiang +9 · 3 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
2024/02/04 by Qilong Ma, Ma, Qilong, Haixu Wu +6 · 2 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
- Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models
2026/01/27 by Jialong Wu, Xiaoying Zhang, Hongyi Yuan +7 · 3 voices
#cs.AI
- Continual Predictive Learning from Videos
2022/04/12 by Geng Chen, Chen, Geng, Wendong Zhang +11 · 1 citation
Computer Science · #Human Pose and Action Recognition #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
- FlashBias: Fast Computation of Attention with Bias
2025/05/17 by Hong Ren Wu, Minghao Guo, Wu, Haixu +10 · 2 citations
Computer Science · #Big Data and Digital Economy #Graph Theory and Algorithms #Stochastic Gradient Optimization Techniques
- TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
2024/02/04 by Jiaxiang Dong, Haixu Wu, Dong, Jiaxiang +11 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- Trajectory World Models for Heterogeneous Environments
2025/02/03 by Yin, Shaofeng, Jialong Wu, Wu, Jialong +9 · 1 citation
Social Sciences · Engineering · #Transportation Planning and Optimization #Traffic control and management