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About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Administration
Academic Support
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
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Forum
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Accommodation
Transportation
Facilities
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News
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Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Ze Ju Sun

Ze Ju Sun

     Assistant Professor    
Assistant Professor Ze Ju Sun

Group: Statistics, Probability and Data Science

Office: A12-204

Email: sunzeju@bimsa.cn

Research Field: Control Theory

Research Interest


  • Nonlinear Filtering Theory and Algorithms
  • Interactions Between Filtering Theory and Deep Learning
  • Relationship Between Stochastic Control and Nonlinear Filtering
  • Numerical Solutions of Stochastic Partial Differential Equations

Education Experience


  • 2020 - 2025      Tsinghua University      Mathematics      Ph.D      (Supervisor: Stephen S.-T. Yau)
  • 2016 - 2020      Tsinghua University      Mathematics      Bachelor

Work Experience


  • 2025 -      BIMSA      Assistant Professor

Publication


  • [1] Xiuqiong Chen*, Zeju Sun*, Yangtianze Tao, and Stephen Shing-Toung Yau, A Uniform Framework of Yau-Yau Algorithm Based on Deep Learning with the Capability of Overcoming the Curse of Dimensionality, accepted by IEEE Transactions on Automatic Control(2024)
  • [2] Xiaopei Jiao*, Shaojun Pei*, Zeju Sun, Jiayi Kang and Stephen S.-T. Yau, Determination of the nucleotide or amino acid composition of genome or protein sequences by using natural vector method and convex hull principle, Fundamental Research, 1(5), 559-564 (2021)
  • [3] Z Sun, X Chen, SST Yau, Recurrent neural network spectral method and its application in stable filtering problems, Automatica, 173, 112067 (2025)
  • [4] Z Sun, SST Yau, The Applications of Yau-Yau Algorithm on McKean-Vlasov Filtering Problem, Journal of Systems Science and Complexity, 38(1), 79-97 (2025)
  • [5] W Cao, T Zhang, Z Sun, C Liu, SST Yau, SE Li, Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation, arXiv (2024)
  • [6] Z Sun, X Chen, SST Yau, On the Convergence Analysis of Yau-Yau Nonlinear Filtering Algorithm: from a Probabilistic Perspective, arXiv (2024)
  • [7] Z Sun, SST Yau, Solving nonlinear filtering problems with correlated noise based on Hermite–Galerkin spectral method, Automatica, 156, 111176 (2023)
  • [8] Z Sun, S Pei, RL He, SST Yau, A novel numerical representation for proteins: three-dimensional chaos game representation and its extended natural vector, Computational and Structural Biotechnology Journal, 18, 1904-1913 (2020)
  • [9] STY Stephen, X Chen, X Jiao, J Kang, Z Sun, Y Tao, Principles of Nonlinear Filtering Theory,

 

Update Time: 2025-07-21 17:00:10


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