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Wang, Jianmin

  1. Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
    2021/06/24 by Haixu Wu, Wu, Haixu, Jiehui Xu +5 · 271 citations
    Computer Science · Decision Sciences · Engineering · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Energy Load and Power Forecasting
  2. TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
    2022/10/05 by Haixu Wu, Tengge Hu, Wu, Haixu +9 · 183 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
  3. Learning Transferable Features with Deep Adaptation Networks
    2015/02/10 by Mingsheng Long, Yue Cao, Long, Mingsheng +5 · 115 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)
  4. Unsupervised Domain Adaptation with Residual Transfer Networks
    2016/02/14 by Mingsheng Long, Zhu Han, Long, Mingsheng +5 · 91 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Cancer-related molecular mechanisms research
  5. Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
    2021/10/06 by Xu, Jiehui, Wu, Haixu, Wang, Jianmin +1 · 58 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting
    2022/05/28 by Yong Liu, Haixu Wu, Liu, Yong +5 · 58 citations
    Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Forecasting Techniques and Applications
  7. Sundial: A Family of Highly Capable Time Series Foundation Models
    2025/02/02 by Yong Liu, Guo Qin, Liu, Yong +14 · 1 voice · 47 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
  8. Deep Transfer Learning with Joint Adaptation Networks
    2016/05/21 by Mingsheng Long, Zhu Han, Long, Mingsheng +5 · 33 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
  9. TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
    2024/02/29 by Yuxuan Wang, Wang, Yuxuan, Haixu Wu +14 · 61 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
  10. Transolver: A Fast Transformer Solver for PDEs on General Geometries
    2024/02/04 by Haixu Wu, Huakun Luo, Wu, Haixu +7 · 57 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
  11. Conditional Adversarial Domain Adaptation
    2017/05/26 by Mingsheng Long, Zhangjie Cao, Long, Mingsheng +5 · 39 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)
  12. Timer: Generative Pre-trained Transformers Are Large Time Series Models
    2024/02/04 by Yong Liu, Haoran Zhang, Liu, Yong +9 · 50 citations
    Computer Science · #Time Series Analysis and Forecasting
  13. LogME: Practical Assessment of Pre-trained Models for Transfer Learning
    2021/02/22 by Kaichao You, You, Kaichao, Yong Liu +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
  14. 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
  15. Deep Time Series Models: A Comprehensive Survey and Benchmark
    2024/07/18 by Wang, Yuxuan, Wu, Haixu, Dong, Jiaxiang +4 · 37 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Multi-Adversarial Domain Adaptation
    2018/09/04 by Zhongyi Pei, Zhangjie Cao, Pei, Zhongyi +5 · 15 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI
  17. HashNet: Deep Learning to Hash by Continuation
    2017/02/02 by Cao, Zhangjie, Long, Mingsheng, Wang, Jianmin +1 · 10 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Solving High-Dimensional PDEs with Latent Spectral Models
    2023/01/30 by Haixu Wu, Wu, Haixu, Tengge Hu +7 · 17 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
  19. 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
  20. 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
  21. Open Domain Generalization with Domain-Augmented Meta-Learning
    2021/04/08 by Shu, Yang, Cao, Zhangjie, Wang, Chenyu +2 · 10 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
    2023/02/02 by Dong, Jiaxiang, Wu, Haixu, Zhang, Haoran +3 · 12 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. 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
  24. 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
  25. Partial Adversarial Domain Adaptation
    2018/08/10 by Zhangjie Cao, Lijia Ma, Cao, Zhangjie +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
  26. Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
    2024/10/07 by Yong Liu, Qin Guo, Liu, Yong +7 · 19 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
  27. Supported Policy Optimization for Offline Reinforcement Learning
    2022/02/13 by Jialong Wu, Haixu Wu, Wu, Jialong +7 · 8 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Smart Grid Energy Management #Smart Parking Systems Research
  28. 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
  29. 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
  30. 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
  31. Partial Transfer Learning with Selective Adversarial Networks
    2017/07/25 by Zhangjie Cao, Cao, Zhangjie, Mingsheng Long +5 · 5 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Multimodal Machine Learning Applications
  32. Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
    2018/11/19 by Yunbo Wang, Wang, Yunbo, Jianjin Zhang +9 · 3 citations
    Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Hydrological Forecasting Using AI
  33. 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
  34. Transferable Calibration with Lower Bias and Variance in Domain Adaptation
    2020/07/16 by Ximei Wang, Wang, Ximei, Mingsheng Long +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
  35. MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions
    2021/03/03 by Wu, Haixu, Yao, Zhiyu, Wang, Jianmin +1 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  36. 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
  37. 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
  38. Transferability in Deep Learning: A Survey
    2022/01/15 by Jiang, Junguang, Shu, Yang, Wang, Jianmin +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  39. From Big to Small: Adaptive Learning to Partial-Set Domains
    2022/03/14 by Cao, Zhangjie, You, Kaichao, Zhang, Ziyang +2 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  40. RoPINN: Region Optimized Physics-Informed Neural Networks
    2024/05/23 by Wu, Haixu, Luo, Huakun, Ma, Yuezhou +2 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  41. VideoDG: Generalizing Temporal Relations in Videos to Novel Domains
    2019/12/08 by Yao, Zhiyu, Wang, Yunbo, Wang, Jianmin +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  42. HarmonyDream: Task Harmonization Inside World Models
    2023/09/30 by Ma, Haoyu, Wu, Jialong, Feng, Ningya +5 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  43. MetaSets: Meta-Learning on Point Sets for Generalizable Representations
    2022/04/15 by Chao Huang, Huang, Chao, Zhangjie Cao +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
  44. 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
  45. 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
  46. 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
  47. Introduction to the Chinese Space Station Survey Telescope (CSST)
    2025/07/07 by CSST Collaboration, Gong, Yan, Miao, Haitao +119 · 11 citations
    #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM)
  48. HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction
    2023/10/16 by Xing, Lanxiang, Wu, Haixu, Ma, Yuezhou +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  49. Metadata Matters for Time Series: Informative Forecasting with Transformers
    2024/10/04 by Jiaxiang Dong, Dong, Jiaxiang, Haixu Wu +9 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  50. Deep Priority Hashing
    2018/09/04 by Cao, Zhangjie, Sun, Ziping, Long, Mingsheng +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  51. Graph Exploration with Embedding-Guided Layouts
    2022/08/29 by Shen, Leixian, Tai, Zhiwei, Shen, Enya +1 · 2 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
  52. An Approach for Process Model Extraction By Multi-Grained Text Classification
    2019/05/16 by Qian, Chen, Wen, Lijie, Kumar, Akhil +5 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  53. Learning to Transfer Examples for Partial Domain Adaptation
    2019/03/28 by Cao, Zhangjie, You, Kaichao, Long, Mingsheng +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  54. TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
    2025/02/28 by Zhang, Haoran, Liu, Yong, Qiu, Yunzhong +4 · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  55. Zoo-Tuning: Adaptive Transfer from a Zoo of Models
    2021/06/29 by Shu Yang, Zhi Kou, Shu, Yang +7 · 2 citations
    Computer Science · #AI in cancer detection #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis
  56. LEDD: Large Language Model-Empowered Data Discovery in Data Lakes
    2025/02/21 by An, Qi, Ying, Chihua, Zhu, Yuqing +3 · 3 citations
    #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences
  57. Requirements Engineering for Machine Learning: A Review and Reflection
    2022/10/03 by Pei, Zhongyi, Liu, Lin, Wang, Chen +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
  58. 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
  59. Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models
    2025/03/02 by Guo, Xingzhuo, Zhang, Yu, Chen, Baixu +3 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  60. Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
    2024/03/20 by Zhou, Peng, Wang, Jianmin, Li, Chunyan +11 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  61. Learning Individual Models for Imputation (Technical Report)
    2020/04/07 by Zhang, Aoqian, Song, Shaoxu, Sun, Yu +1 · 1 citation
    #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  62. 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
  63. ProPINN: Demystifying Propagation Failures in Physics-Informed Neural Networks
    2025/02/02 by Wu, Haixu, Ma, Yuezhou, Zhou, Hang +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  64. Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
    2025/04/02 by Zhong, Jincheng, Zhang, Xiangcheng, Wang, Jianmin +1 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)