vix.ing · top · new · best · stats · spec

Jianmin Wang

  1. Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
    2021/06/24 by Haixu Wu, Jiehui Xu, Wu, Haixu +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. Generalized autocalibrating partially parallel acquisitions (GRAPPA)
    2002/06/01 by Mark A. Griswold, Peter M. Jakob, Robin M. Heidemann +5 · 32 citations
  6. 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
  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, Long, Mingsheng, Zhu Han +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, Haixu Wu, Wang, Yuxuan +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, Wu, Haixu, Huakun Luo +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, Long, Mingsheng, Zhangjie Cao +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, Liu, Yong, Haoran Zhang +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, Haixu Wu, Wang, Yunbo +11 · 19 citations
    Computer Science · #Advanced Vision and Imaging #Human Pose and Action Recognition #Advanced Image and Video Retrieval Techniques
  15. Multi-Adversarial Domain Adaptation
    2018/09/04 by Zhongyi Pei, Pei, Zhongyi, Zhangjie Cao +5 · 15 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI
  16. Solving High-Dimensional PDEs with Latent Spectral Models
    2023/01/30 by Haixu Wu, Tengge Hu, Wu, Haixu +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
  17. Skilful nowcasting of extreme precipitation with NowcastNet
    2023/07/05 by Yuchen Zhang, Mingsheng Long, Kaiyuan Chen +4 · 18 citations
    Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Flood Risk Assessment and Management #Precipitation Measurement and Analysis
  18. 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
  19. PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
    2018/04/17 by Yunbo Wang, Zhifeng Gao, Wang, Yunbo +7 · 10 citations
    Computer Science · #Machine Learning and Data Classification
  20. AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
    2024/02/04 by Yong Liu, Qin Guo, Liu, Yong +7 · 15 citations
    Computer Science · #Time Series Analysis and Forecasting #Topic Modeling #Advanced Text Analysis Techniques
  21. 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
  22. 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
  23. Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
    2024/10/07 by Yong Liu, Liu, Yong, Qin Guo +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
  24. 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
  25. CLIPood: Generalizing CLIP to Out-of-Distributions
    2023/02/02 by Yang Shu, Xingzhuo Guo, Shu, Yang +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
  26. Cycle Self-Training for Domain Adaptation
    2021/03/05 by Jianmin Wang, Liu, Hong, 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
  27. Spatiotemporal Pyramid Network for Video Action Recognition
    2019/03/04 by Yunbo Wang, Mingsheng Long, Wang, Yunbo +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
  28. 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
  29. 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
  30. Flowformer: Linearizing Transformers with Conservation Flows
    2022/02/13 by Haixu Wu, Wu, Haixu, Jialong Wu +7 · 4 citations
    Computer Science · #Neural Networks and Reservoir Computing #Neural Networks and Applications #Music and Audio Processing
  31. 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
  32. Enriching Data Imputation under Similarity Rule Constraints
    2018/11/23 by Shaoxu Song, Yu Sun, Aoqian Zhang +2 · 3 citations
    Computer Science · Decision Sciences · #Data Management and Algorithms #Data Mining Algorithms and Applications #Data Quality and Management
  33. How Does Learning Rate Decay Help Modern Neural Networks?
    2019/08/05 by Kaichao You, You, Kaichao, Mingsheng Long +5 · 6 citations
    Computer Science · #Neural Networks and Applications #Machine Learning and Data Classification #Stochastic Gradient Optimization Techniques
  34. 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
  35. 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
  36. 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
  37. 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
  38. Deep Triplet Quantization
    2019/02/01 by Bin Liu, Yue Cao, Liu, Bin +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
  39. 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
  40. Zoo-Tuning: Adaptive Transfer from a Zoo of Models
    2021/06/29 by Shu Yang, Shu, Yang, Zhi Kou +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
  41. FlashBias: Fast Computation of Attention with Bias
    2025/05/17 by Hong Ren Wu, Wu, Haixu, Minghao Guo +10 · 2 citations
    Computer Science · #Big Data and Digital Economy #Graph Theory and Algorithms #Stochastic Gradient Optimization Techniques
  42. TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
    2024/02/04 by Jiaxiang Dong, Dong, Jiaxiang, Haixu Wu +11 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  43. Split immunomodulatory impact of leptin on human myeloid cells: key role of IDO1 in counteracting the immunostimulatory effect of leptin
    2026/07/27 by Bowen Dong, Spencer Rosario, Wei Luo +10