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Jing Liu (刘晶)

Ph.D.
SPST, BUPT
jing.liu (at) bupt.edu.cn


About Me

I am currently a tenure-track assistant professor at the School of Physical Science and Technology, Beijing University of Posts and Telecommunications. I received my Ph.D. degree from the School of Systems Science, Beijing Normal University in 2023, and completed postdoctoral research at the Institute of Theoretical Physics, Chinese Academy of Sciences. My research interests lie in statistical physics and machine learning, and I have published in Nature Communications, New Journal of Physics, and Physical Review E.

中文版

Funding

Young Scientists Fund of the NSFC, 2025-2027

Selected Publications

  1. Tensor Network Markov Chain Monte Carlo: Efficient Sampling of Three-Dimensional Spin Glasses and Beyond
    Tao Chen, Jing Liu†, Youjin Deng†, Pan Zhang† († corresponding authors)
    arXiv:2509.23945
    PDF Code
  2. BatchTNMC: Efficient sampling of two-dimensional spin glasses using tensor network Monte Carlo
    Tao Chen, Jingtong Zhang, Jing Liu†, Youjin Deng†, Pan Zhang† († corresponding authors)
    arXiv:2509.19006
    PDF Code
  3. Efficient optimization of variational autoregressive networks with natural gradient
    Jing Liu, Ying Tang, Pan Zhang
    Phys. Rev. E 111, 025304 (2025)
    PDF Code
  4. Learning nonequilibrium statistical mechanics and dynamical phase transitions
    Ying Tang*, Jing Liu*, Jiang Zhang, Pan Zhang (* contributed equally)
    Nat Commun 15, 1117 (2024)
    PDF Code
  5. Tensor networks for unsupervised machine learning
    Jing Liu, Sujie Li, Jiang Zhang, Pan Zhang
    Phys. Rev. E 107, L012103 (2023)
    PDF Code

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