Xinyu Yuan

Graduate Student, Hefei University of Technology
Email: yxy5315@gmail.com

I am a graduate student at School of Computer Science and Information Engineering at HFUT, advised by Assoc. Prof. Yan Qiao. And I received my B.Eng. from the School of Information and Artificial Intelligence at Anhui Agricultual University.

My primary research interests includes network management, machine learning, AI and network measurement based on Sketch. I am actively working on real-world network traffic monitoring with machine learning. I am also working on studying of the powerful generative models (such as diffusion models and LLMs).

I'm pursuing to look for a Ph.D. position in Computer Science. I am willing to get the chance and adapt to discuss the required Ph.D.

Download my CV

Publications

  • Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach
    Xinyu Yuan, Yan Qiao*, Zhenchun Wei et al.
    To appear in IEEE Transactions on Network and Service Management (TNSM)
    [Paper] [Code]
  • AutoTomo: Learning-Based Traffic Estimator Incorporating Network Tomography
    Yan Qiao*, Kui Wu, Xinyu Yuan
    IEEE/ACM Transactions on Networking (TON), December, 2024
    [Paper] [Code]
  • Diffusion-TS: Interpretable Diffusion for General Time Series Generation
    Xinyu Yuan, Yan Qiao*
    International Conference on Learning Representations (ICLR), Vienna, Austria, 2024
    [Paper] [Code]
  • Routing-Oblivious Network Tomography with Flow-Based Generative Model
    Yan Qiao*, Xinyu Yuan, Kui Wu
    IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada, 2024
    [Paper] [Code]
  • Unsupervised Anomaly Detection for Multivariate Time Series using Diffusion Model
    Rongyao Hu, Xinyu Yuan, Yan Qiao* et al.
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, 2024
    [Paper] [Code]
  • Traffic Matrix Estimation based on Denoising Diffusion Probabilistic Model
    Xinyu Yuan, Yan Qiao*, Pei Zhao et al.
    IEEE Symposium on Computers and Communications (ISCC), Tunis, Tunisia, 2023
    [Paper] [Code]

Workshop Papers and Preprints

  • Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
    Xinyu Yuan, Yan Qiao*, Meng Li et al.
    [Preprint] [Code]

Patents

Services

  • Reviewer: NeurIPS, ICLR, TDSC, TNSM, CN

Contact Me

yxy5315 at gmail dot com