Chuqi Chen

Chuqi Chen CV PhD candidate Department of Mathematics The Hong Kong University of Science and Technology

I am currently a PhD student in mathematics at HKUST, advised by Prof. Yang Xiang.
I am visting Prof. Wenrui Hao at Penn State University.
I am looking for a Postdoc position now!

Contact

• E-mail: cchenck AT connect DOT ust DOT hk

Research Interests

The long-term goal of my research is to apply mathematical modeling and design efficient methodologies to address problems encountered in the fields of science and engineering. Specifically, I am interested in the following research topics:

• Mathematical Modeling and Simulation in Materials Science: Focusing on materials science and biomedical science.

• Scientific Machine Learning: Machine learning for solving PDEs, Operator learning, Understanding neural networks through phenomenon-driven theoretical research.

• AI for Science: Generative models for sampling, Generative models with applications in data-driven modeling.

Preprint

• Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers
  Chuqi Chen, Qixuan Zhou, Yahong Yang, Yang Xiang, Tao Luo
  In preprint

• Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
  Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao
  In preprint

• A phase field model for deformation-induced amorphization
  Yuntong Huang, Shuyang Dai, Chuqi Chen, Yang Xiang
  In preprint

• Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow
  Chuqi Chen, Yue Wu, Yang Xiang
  In preprint

• Elastic Interaction Energy-Based Generative Model: Approximation in Feature Space
  Chuqi Chen, Yue Wu, Yang Xiang
  In preprint

Talks

• 2024 SIAM-NNP, November 2024
  Contributed Talk: Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations.

• CSML, August 2024
  Minisymposium Talk: Quantifying Training Difficulty and Accelerating Convergence in Neural Network-Based PDE Solvers.

• 17th EASIAM, August 2023
  Minisymposium Talk: Exploring the Training Challenges of Neural Network-Based PDE Solvers: A Singular Value Analysis.

• ICIAM, August 2023
  Minisymposium Talk: From nanocrystals to glasses: a strengthening mechanism analysis for amorphization.

Short bio

• Ph.D. in Mathematics (2021.09-present)

  • The Hong Kong University of Science and Technology, Hong Kong SAR, China;

  • Adivisor: Prof. Yang Xiang.

• Visiting student(2024.09-present)

  • The Pennsylvania State University, State College, PA, USA;

  • Host: Prof. Wenrui Hao

• B.S. in Mathematics(2016.09-2021.07)

  • Sun Yat-sen University, Guangzhou, China;

  • Adivisor:Prof. Ling Lin.

Miscellaneous

I adore scrolling through and creating memes of every variety.
I enjoy watching TV series and anime.

If you are interested in discussing with me, feel free to drop me an email!