Hi there! Iโm Wenjie Huang, a senior undergraduate in the Mathematics Top Talent Program at Sichuan University.
My passion lies at the intersection of Scientific Computing, Numerical PDEs, and Deep Learning. I am particularly fascinated by building next-generation scientific tools powered by AI and am actively seeking research and engineering opportunities in AI for Science and AI for Math.
๐ฅ News
- 2025.09: ย ๐ Awarded the National Scholarship for the second time!
- 2025.07: ย ๐ Attended the โAI for Mathโ Summer School at Shanghai Jiao Tong University (SJTU)!
- 2025.06: ย ๐ My first paper is now available on arXiv!
- 2024.11: ย ๐ Won Provincial First Prize in the China Undergraduate Mathematical Contest!
- 2024.11: ย ๐ Won National Second Prize in the China Undergraduate Mathematical Contest in Modeling (CUMCM)!
- 2024.09: ย ๐ Awarded the National Scholarship for outstanding academic performance!
๐ป Technical Skills
- Programming Languages: Python, MATLAB, Julia
- AI Frameworks & Libraries: PyTorch, TensorFlow, JAX, Hugging Face, Scikit-learn, NumPy, Pandas
- Algorithms & Foundations: Numerical Analysis, Numerical Solutions for PDEs (FEM, Spectral Methods, PINNs, DeepONet), Optimization
- AI Domains: Machine Learning, Deep Learning, NLP, LLM, Reinforcement Learning
- Developer Tools: Git, Docker, LaTeX, Markdown
๐ Publications
Wenjie Huang, Hao Wang, Shiquan Zhang, Qinyi Zhang
- This work proposes and analyzes a high-order numerical method for the Euler-Bernoulli beam equation with damping terms, achieving fourth-order accuracy in space and second-order in time.
- We employed a compact finite difference scheme for spatial discretization and the Crank-Nicolson method for temporal discretization.
- Rigorous proofs for consistency, stability, and convergence are provided and verified by numerical experiments.
๐ Featured Projects
AI4CFD: AI-Powered Solvers for Computational Fluid Dynamics 
An open-source framework for solving problems in Computational Fluid Dynamics (CFD) using deep learning. This project serves as my personal playground for exploring the synergy between AI and scientific computing.
- Implemented several cutting-edge neural operator networks from scratch, including PINNs, DeepONet, and FNO, using PyTorch.
- Applied these models to solve a variety of classic PDEs, such as the Burgersโ, Navier-Stokes, and Poisson equations.
- Published the entire codebase and experimental results on GitHub, complete with clear documentation and tutorials.
Tech Stack: Python, PyTorch, NumPy, Matplotlib, Git
High-Precision Numerical Solver for Euler-Bernoulli Equations
This project formed the core of my first-author research paper, focusing on developing a novel numerical method to solve a fourth-order PDE with applications in engineering.
- Independently designed and implemented a novel fourth-order compact finite difference scheme to overcome the limitations of traditional methods.
- Rigorously proved the consistency, stability, and convergence of the new scheme, ensuring its robustness.
- Verified through experiments that the new algorithm improved computational accuracy by an order of magnitude compared to standard methods under the same conditions.
Tech Stack: Julia, MATLAB, Python (for plotting)
GuWenGuanZhi: Generative AI for Classical Chinese Comics
An end-to-end AIGC application that automatically converts classical Chinese texts into multi-panel comics, successfully deployed as a WeChat Mini Program.
- Led the entire algorithm pipeline, from text storyboarding with LLMs and Prompt Engineering to Fine-tuning Stable Diffusion (LoRA) for stylistic consistency.
- Responsible for core algorithm implementation and final integration, demonstrating skills in bringing a generative AI concept to a real-world product.
Tech Stack: Python, PyTorch, Hugging Face, Stable Diffusion, LLM APIs
๐Coursework
- Major GPA: 94.05/100 (Ranking: 1/198, Top 1%)
- Selected Courses (Out of 100 points): Probability Theory (100), Mathematical Modeling and Experiment (99), Mathematical Analysis III (98), Abstract Algebra (98), Ordinary Differential Equations (98), General Topology (98), Real Analysis (97), Complex Analysis (97), Mathematical Statistics (96), Advanced Algebra I & II (96), Partial Differential Equations (95), Functional Analysis (93).
๐ Educations
- 2022.09 - 2026.06 (Expected), B.Sc. in Mathematics and Applied Mathematics (Top Student Program), Sichuan University, China.
๐ป Internships
- 2025.07 - 2025.08, Summer School, Shanghai Jiao Tong University, China.
- Research Topic: AI for Mathematics, Focused on practical applications of the Lean Theorem Prover for Formal Mathematics.
๐ Honors & Awards
- National Scholarship (Top 0.2%) (2024, 2025)
- Sichuan Provincial Outstanding Graduate (2025)
- National Second Prize, China Undergraduate Mathematical Contest in Modeling (CUMCM)
- Provincial First Prize, China Undergraduate Mathematical Contest
- Sichuan University Merit Student (Top 10%) (2023, 2024, 2025)
-
First-Class Comprehensive Scholarship, Sichuan University (Top 2%) (2023)