Mathematics
Analysis, algebra, and topology, with an emphasis on clear definitions, proofs, and the structure that connects them.
Mathematics · Machine Learning · Systems
I am an undergraduate in the IEEE Honor Class at Shanghai Jiao Tong University. My interests sit between mathematics, machine learning and computer vision, and computer systems. I like work that is conceptually clear, carefully implemented, and written up honestly.
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.
A bilingual LaTeX book on mathematics and axiomatization, moving from logic and set theory through analysis, linear algebra, abstract algebra, topology, complex analysis, graph theory, and probability.
A spatial predator–prey simulation for studying emergent communication: individually learning animals, costly meaning-free signals, and a batched CPU/XPU execution backend.
A PyTorch-style execution runtime for Intel CPU, XPU, and OpenVINO NPU devices, with explicit compilation, mixed-device execution, and reproducible benchmarks.
A neural chess engine that distills Stockfish analysis into a compact policy/WDL network and plays through batched PUCT search on Intel Arc XPU.