Plote
Researcher • Scholar • Thinker
Academic Profile
Research Interests
My research interests lie in the theoretical foundations and structural mechanisms of generative modeling, particularly at the intersection of mathematics and Machine learning. Specifically, I study diffusion models and Autoregressive models from a mathematical perspective, focusing on their connections to Markov processes, stochastic differential equations, and Boltzmann-type distributions. I am intrigued by their capacity for structure-aware generation, and I have explored both token-based and continuous-space implementations. Ultimately, I aim to contribute to the development of mathematically grounded, physically coherent, and structurally expressive generative systems—ones that combine rigorous modeling with creative intelligence.
Biography
I am currently an undergraduate student majoring in Physical Modeling and Intelligent Engineering, with a comprehensive academic background in mathematics, physics, materials science, and computer science. This multidisciplinary training has equipped me with a solid foundation in quantitative analysis and cross-scale system modeling. I am particularly interested in theoretically grounded artificial intelligence, and I approach generative modeling through the lens of mathematical structures, and dynamical processes. I have studied Markov processes, diffusion equations, Boltzmann statistics, Lagrangian mechanics, and ordinary differential equations, and I am currently exploring convex optimization theory and its implications for generalization in deep generative models.
Selected Publications
Affiliations
Academic Columns
笔记
Research notes and methodological insights from my ongoing projects and experiments.
论文介绍
Critical reviews and summaries of influential papers in AI and cognitive science.
关于我
Personal reflections on academic life, research philosophy, and interdisciplinary thinking.