Chengsen Wang

Chengsen Wang

A PhD student at BUPT, with primary research interest in time series analysis.

I’m a PhD student in the class of 2023 at the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications (BUPT). My primary research interests focus on time series analysis, along with multimodal and LLM. I have published several relevant papers in top conferences with total google scholar citations 260000+ .

If you are interested in collaborating on research projects, offering internship opportunities, or exchange programs, I would be thrilled to connect with you. You can also find my CV here: EN / ZH.

🔥 News

📖 Educations

  • 2023.09 – Present, PhD Student, Computer Science and Technology, Beijing University of Posts and Telecommunications.
  • 2022.09 – 2023.06, MS Student, Computer Science and Technology, Beijing University of Posts and Telecommunications.
  • 2018.09 – 2022.06, Undergrad Student, Automation, Beijing University of Posts and Telecommunications.

🛵 Experiences

  • 2025.02 – Present, Research Intern, Noah’s Ark Lab, Huawei Technologies.

🌱 Services

  • Conferences
    • Reviewer, The Thirty-First SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025, h5=213)
    • Reviewer, The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025, h5=337)
    • Reviewer, The Forty-Second International Conference on Machine Learning (ICML 2025, h5=268)
    • Reviewer, The Thirteenth International Conference on Learning Representations (ICLR 2025, h5=304)
    • Reviewer, The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024, h5=337)
  • Journals
    • Reviewer, IEEE Transactions on Knowledge and Data Engineering (TKDE, IF=8.9)
    • Reviewer, IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=10.4)

📝 Publications

AAAI 2025 [oral]
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ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Lei Zhang, Jianxin Liao

[Paper] [Code]

NeurIPS 2024
sym

Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective

Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Jianxin Liao

[Paper] [Code]

NeurIPS 2023
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Drift doesn’t Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection

Chengsen Wang, Zirui Zhuang, Qi Qi, Jingyu Wang, Xingyu Wang, Haifeng Sun, Jianxin Liao

[Paper] [Code]

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