Guoming Huang
ZJU CS grad student.
Focuses on Computer Vision and Heterogeneous Computing.
About
I am a CS graduate student at Zhejiang University, focusing on generative models and efficient deep learning. My research interests lie at the intersection of diffusion models, stochastic differential equations, and neural architecture design.
This blog documents my learning journey — from the mathematical foundations of SDEs and stochastic processes to cutting-edge generative architectures like DDIM, Flow Matching, and DiT. I strive to bridge theory and practice, making complex concepts accessible through intuitive explanations and rigorous derivations.
Research Interests
- Generative Models: Diffusion Models, DDIM, Flow Matching, DiT, DPM-Solver.
- Stochastic Processes: SDEs, Langevin Dynamics, Wiener Process, Markov Process.
- Deep Learning: Vision Transformer, U-Net, Neural ODE, RoPE.
- Classical Mathematics: Mathematical Analysis, Linear Algebra, Probability Theory.