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Jiaxiang Dong

Beijing, China

 dongjiaxiang1994@163.com


About Me

I received my Ph.D. degree from School of Software, Tsinghua University, advised by Prof. Li Zhang and Prof. Mingsheng Long. ​My research focuses on deep time series analysis and self-supervised pre-training of time series. I am committed to advancing research that can be applied to meaningful real-world scenarios.

Preprints

  1. arXiv
    Metadata Matters for Time Series: Informative Forecasting with Transformers
    Jiaxiang Dong*, Haixu Wu*, Yuxuan Wang*, Li Zhang, Jianmin Wang, Mingsheng Long#
    arXiv
  2. arXiv
    Deep Time Series Models: A Comprehensive Survey and Benchmark
    Yuxuan Wang*, Haixu Wu*, Jiaxiang Dong*, Yong Liu, Mingsheng Long#, Jianmin Wang
    arXiv

Conference Proceedings

  1. NeurIPS
    Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
    Jincheng Zhong*, Xingzhuo Guo*, Jiaxiang Dong, Mingsheng Long#
    NeurIPS 2024 | Neural Information Processing Systems
    PDF arXiv Code
  2. NeurIPS
    TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
    Yuxuan Wang*, Haixu Wu*, Jiaxiang Dong, Yong Liu, Yunzhong Qiu, Haoran Zhang, Jianmin Wang, Mingsheng Long#
    NeurIPS 2024 | Neural Information Processing Systems
    PDF arXiv Code Slides Poster
  3. ICML
    TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
    Jiaxiang Dong*, Haixu Wu*, Yuxuan Wang, Yunzhong Qiu, Li Zhang, Jianmin Wang, Mingsheng Long#
    ICML 2024 | International Conference on Machine Learning
    PDF arXiv Code Slides Poster
  4. NeurIPS
    SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling
    Jiaxiang Dong*, Haixu Wu*, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long#
    NeurIPS 2023 | Neural Information Processing Systems | Spotlight
    PDF arXiv Code Slides Poster
  5. ICME
    Multibox Sample Selection for Active Object Detection
    Jiaxiang Dong, Li Zhang#
    ICME 2023 | International Conference on Multimedia and Expo | Oral
    PDF Slides
  6. SRDS
    PITR: An Efficient Single-Failure Recovery Scheme for PIT-Coded Cloud Storage Systems
    Peng Li, Jiaxiang Dong, Xueda Liu, Gang Wang#, Zhongwei Li, Xiaoguang Liu#
    SRDS 2017 | Symposium on Reliable Distributed Systems
    PDF

Journal Articles

  1. Computer Science
    Mechanical Equipment Fault Diagnosis Driven by Knowledge
    Jiaxiang Dong, Jiyu Zhai, Xin Ma, Leixian Shen, Li Zhang#
    Computer Science 2023 (In Chinese)
    PDF
  2. DSE
    Visual Data Analysis with Task-Based Recommendations
    Leixian Shen#, Enya Shen, Zhiwei Tai, Yihao Xu, Jiaxiang Dong, Jianmin Wang
    DSE 2022 | Data Science and Engineering
    PDF Code

* Equal Contribution, # Corresponding Author

Education and Experience

Selected Awards

Academic Services

Conference Reviewer