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Xiangfei Qiu

Master's Student
East China Normal University
Email: xfqiu@stu.ecnu.edu.cn
WeChat: qxf780310


👋 About Me

I am currently a Master student (from fall, 2023) at the School of Data Science and Engineering of East China Normal University and a member of the Decision Intelligence Lab, advised by Prof. Jilin Hu.

🔍 Research Topics

My research interests cover Time Series Analysis and Deep Learning. I am currently working on foundation time series models, and time series benchmarking. In addition to pure research, I also dedicate myself to promoting research on valuable real-world applications. My research aims to contribute to the advancement of intelligent systems capable of handling massive and complicated temporal data across domains, including finance, industry, and environment.

For more information, you may take a look at my Google Scholar and GitHub.

🔥 News

📝 Publications & Preprints

  1. arXiv
    A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
    Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang
    arXiv preprint, 2025.
    PDF Code Blog

  2. ICLR
    CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
    Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang#
    International Conference on Learning Representations (ICLR), 2025.
    PDF Code Blog Accepted

  3. ICDE
    EasyTime: Time Series Forecasting Made Easy
    Xiangfei Qiu*, Xiuwen Li*, Ruiyang Pang*, Zhicheng Pan*, Xingjian Wu*, Liu Yang*, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen and Bin Yang.
    IEEE International Conference on Data Engineering (ICDE), 2025.
    PDF Accepted

  4. SIGKDD
    DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
    Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu#, Bin Yang
    ACM Knowledge Discovery and Data Mining (SIGKDD), 2025.
    PDF Code Blog Accepted

  5. PVLDB
    TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
    Xiangfei Qiu, Jilin Hu#, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
    International Conference on Very Large Databases (PVLDB), 2024.
    PDF Code BibTex Blog Best Paper Award Nomination

  6. VLDBJ
    AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting
    Xinle Wu, Xingjian Wu, Bin Yang#, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen
    VLDB Journal (VLDBJ), 2024.
    PDF Code BibTex Blog Accepted

  7. arXiv
    FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting
    Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang
    arXiv preprint, 2024.
    PDF Blog

  8. arXiv
    DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone
    Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Jilin Hu#, Bin Yang
    arXiv preprint, 2024.
    PDF

  9. arXiv
    MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast
    Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo#
    arXiv preprint, 2024.
    PDF Blog

*Equal Contribution, # Corresponding Author

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