Shanghai Jiao Tong University
Undergraduate in the IEEE Honor Class, studying computer science, mathematics, physics, and engineering fundamentals.
My work sits between theory and implementation. On the theoretical side, I keep structured notes on analysis, algebra, and topology, because the value of a mathematical idea often lies in how it is organized rather than in a single result. On the practical side, I build learning systems and execution tooling: agent simulations, neural search engines, and runtimes that target different hardware backends.
I care about clear explanations and honest reporting. Most of what I publish is a record of something I am actively studying or building, and I try to describe it as it actually is, including what remains unfinished.
Undergraduate in the IEEE Honor Class, studying computer science, mathematics, physics, and engineering fundamentals.
Built a foundation in rigorous problem solving and an early interest in mathematics and technology.
Analysis, algebra, and topology, with an emphasis on clear definitions, proofs, and the structure that connects them.
Learning systems and perception, from model design and training to the details of evaluation.
Execution runtimes and hardware-aware software across CPU, XPU, and NPU targets.
Structured notes and explanations that keep theory close to implementation.