Profile

Zhao DING (丁钊).

  • Postdoctoral Fellow in Department of Applied Mathematics at The Hong Kong Polytechnic University, supervised by Prof. Buyang Li. (2025 - )

  • PhD in Computation Mathematics, honorably supervised by Prof. Jerry Zhijian Yang, and additionally guided by Prof. Yuling Jiao, Wuhan University. (2020 - 2025)

  • BSc in Mathematics and Applied Mathematics, Wuhan University. (2016 - 2020)

  • Focues on machine learning and scientific computing, specifically in diffusion models and learning theory.

Contact

E-mail: zhao DOT ding AT polyu DOT edu DOT hk, dingz489 AT gmail DOT com

Address: TU801C-01, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR

Experience

  • Invited Talks

    • “One Step Characteristic Generator by Distillation Techniques” at the 18th East Asia Section for Industrial and Applied Mathematics (EASIAM) conference, 2025.

    • “Distillation-Based One Step Generative Models” at Annual Conference of Chinese Statistical Association of Young Scholars, 2025.

    • “Score-Based Sequential Langevin Sampling for Data Assimilation” at Peking University Seminar for Outstanding Doctoral Students in Computational and Applied Mathematics, 2024.

    • “ODE-based Sampling and Generative Models” at the student chapter of the 17th East Asia Section for Industrial and Applied Mathematics (EASIAM) conference, 2024.

    • “Sampling via Föllmer Flow” at the student chapter of the 21st China Society for Industrial and Applied Mathematics (CSIAM) conference, 2023.

  • Teaching Assistant, Wuhan University, 2021

    Numerical tutorials in MATLAB for “Numerical Linear Algebra”. [Project Page]

  • Member of Projects, Wuhan University & Huawei, 2020-2024

    • Machine Learning Library. Develop SVD, PCA, LDA and ARMA, with performance comparable to (partially better than) scikit-learn and statsmodels. (C++)

    • Vector Statistical Library. Develop 1st-4th original & central SUM and MOM statistical functions. (C)

    • MindX Models. Implement of FNO & PINO (operator networks) in native MindSpore. (Python)

    • High Precision Math Function Library. Develop interval algorithms with arbitrary precision, built upon mpfr library, in object oriented style, for testing basic math functions at any precision. (C++)

    • Derivative Constrained Path Fitting. Develop B-spline fitting algorithm under 1st-3rd derivative constraints. (MATLAB,C++)

    • Sparse Matrix Solver. Design the architecture for sparse Cholesky decomposition and develop the symbol factorization part. Reach comparable performance compared to C library CHOLMOD. (C++)

Skill

  • Scientific Computing, in Python (numpy, scipy, matplotlib, seaborn, …), MATLAB, C/C++

  • Deep Learning, with PyTorch, experienced in data parallel training/inference of diffusion models

  • Language, English: CET4 (620), CET6 (625), IELTS (6.5)

  • Others: bash script, git, make, LaTex, …

Award

  • College-level Outstanding Graduate in School of Mathematics and Statistics at Wuhan University, 2025
  • SIAM Award for Student Chapter at Wuhan University, 2024
  • First Prize of China Undergraduate Mathematical Contest in Modeling, 2018

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