Yonglin Zhu
PhD in Physics · AI Researcher
I have a PhD in physics and work in AI — spanning generative AI for code translation, time series forecasting, automated machine learning, and synthetic data.
Here I document an independent research journey at the PhD level: no institution, no advisor. The goal is to produce original contributions in a new area of AI and have the work reviewed by recognized researchers in the field. The journey runs through three phases — qualifier, preliminary exam, and final defense.
Currently exploring
- Large language model post-training alignment
- Physics of AI
Recent Progress
Pushing on the DICE Engine paper draft for the DL4C workshop at ICML 2026 — submission deadline is May 14, 2026. Final day to tighten the experiments section and prep the anonymized code link before submission.
Added a note to the publications tracker on using anonymous.4open.science for double-blind submissions — strips author identity from a repo URL while keeping it browsable for reviewers. Small process detail, but worth pinning before the first submission.
Embedded dice-engine as a Git submodule under preliminary/ so the first paper’s code lives alongside its prose, and documented the submodule-embedding convention in the repo guide. Also queued four RL and code-LLM papers in toRead.md to set up the next reading sprint.