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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.

中文版

News

  • 📌  Graduate recruitment: I have one opening for a master's student each year. Candidates with backgrounds in physics, systems science, computer science, and related fields are welcome to apply. Please contact me by email at jing.liu (at) bupt.edu.cn.
  • 2026-09  Our paper on foundation variational autoregressive networks is now on arXiv:2609.11336.
  • 2026-09  Our paper on tensor-network Markov chain Monte Carlo is published in Physical Review Letters.
  • 2026-08  Our paper on exact sampling of planar Ising spin glasses is now on arXiv:2608.24382, with code released on GitHub.

Funding

Young Scientists Fund of the NSFC, 2025-2027

Selected Publications

  1. Universal Sampling of Spin Systems across Quenched Disorder
    Jing Liu, Yeyuan Wu, Ying Tang, Pan Zhang
    arXiv:2609.11336 (2026)
    PDF
  2. Tensor-network Markov-chain Monte Carlo: Efficient sampling of three-dimensional spin glasses
    Tao Chen, Jing Liu†, Youjin Deng†, Pan Zhang† († corresponding authors)
    Phys. Rev. Lett. 137, 117101 (2026)
    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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