• [📜 Paper] Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li, Wenjie Du, Qingsong Wen. Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting, TPAMI, 2025.
    [DOI Link] [PDF] [Code] 2024 IF-18.6/JCR-Q1/CAS-Q1 Citation number on GoogleScholar

  • [🎙📚️ Tutorial] Wenjie Du, Yiyuan Yang, Linglong Qian. PyPOTS & Datawhale Team Learning, May 2025. (Datawhale is the largest open-source community in China, and we are honored to be invited to give a tutorial for their learners on time series analysis with PyPOTS.)
    [Call for Learners] [Tutorial]

  • [📜 Paper] Jun Wang*, Wenjie Du*, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen. Deep Learning for Multivariate Time Series Imputation: A Survey, IJCAI, 2025.
    [DOI Link] [PDF] [Code] Citation number on GoogleScholar

  • [📜 Paper] Yaxuan Kong*, Yiyuan Yang*, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen. Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement, ACL (Main Conference), 2025.
    [DOI Link] [PDF] [Code] Citation number on GoogleScholar

  • [🎙️ Talk] Wenjie Du. Learning from POTS: Towards Reality-Centric AI for Time Series, Keynote at IJCAI'24 AI4TS (AI for Time Series Analysis) Workshop, Jeju, South Korea, August 5, 2024.
    [Slides]

  • [📝 Preprint] Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Zina Ibrahim, Fanxing Liu, Zepu Wang, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen. TSI-Bench: Benchmarking Time Series Imputation, arXiv preprint, abs/2406.12747, 2024.
    [DOI Link] [PDF] [Code] Citation number on GoogleScholar

  • [📜 Paper] Linglong Qian, Zina Ibrahim, Wenjie Du, Yiyuan Yang, Richard JB Dobson. Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation, IJCAI'24 AI4TS (AI for Time Series Analysis) Workshop, 2024.
    [DOI Link] [PDF] [Code] Citation number on GoogleScholar

  • [📜 Paper] Wenjie Du. PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series, KDD MiLeTS Workshop, 2023.
    [PDF] [Code] Citation number on GoogleScholar

  • [📜 Paper] Wenjie Du, David Cote, Yan Liu. SAITS: Self-Attention-based Imputation for Time Series, Expert Systems with Applications, 219:119619, 2023.
    [DOI Link] [PDF] [Code] 2022 IF-8.665/JCR-Q1/CAS-Q1 Citation number on GoogleScholar   ESI highly cited paper

  • [📜 Paper] Wenjie Du, David Cote, Chris Barber, Yan Liu. Forecasting Loss of Signal in Optical Networks with Machine Learning, IEEE/OSA Journal of Optical Communications and Networking, vol. 13, no. 10, pp. E109-E121 (2021).
    [DOI Link] [PDF] [Code] 2022 IF-4.508/JCR-Q1/CAS-Q1 Citation number on GoogleScholar

  • [🎙️ Talk] Wenjie Du. Efficient and Effective Time Series Imputation: from RNN to Transformer, Virtual Presentation at Ciena Corp., Montreal, Canada, July 9, 2021.