Sitemap
This page offers a curated overview of the current website. If you are looking for the machine-readable version, the XML sitemap is also available.
Main Pages
- Home: background, research interests, mentors, and recent updates.
- Experiences: research appointments and education.
- Papers: papers, preprints, and research outputs.
- Projects: software, demos, and applied research work.
- Notes: public notes on mathematics, statistics, deep learning, and related topics.
- CV: current curriculum vitae in PDF format.
- Misc: interests outside research and selected photos.
Research Overview
My work focuses on generative modeling, AI for science, and LLM agents, with an emphasis on principled, efficient, and reliable machine learning methods.
I am currently a visiting student in the Department of Statistics at the University of Wisconsin-Madison and will join the Industrial Engineering and Management Sciences (IEMS) PhD program at Northwestern University in Fall 2026.
Selected Publications
- When Local Rules Create Global Order: Self-Organized Representation Learning for Latent Diffusion Models (CVPR 2026)
- Training-Free Guided Generation techniques for Conditional Flow Matching on Scientific Datasets
- Benchmarking In-context Experiential Learning Through Repeated Product Recommendations
- MVU-AE: Minimum Variance Unbiased Autoencoder
Selected Projects
- robust: an R package for least absolute deviations regression.
- Development of a Martial Arts Teaching and Scoring System Based on YOLOv8
- EventSim: an event simulation project with public code and demos.
Recent Updates
- Feb 2026: Training-Free Guided Generation techniques for Conditional Flow Matching on Scientific Datasets became available on arXiv.
- Nov 2025: Released the preprint and project page for BELA.
- Sep 2025: Started visiting in the UW-Madison Statistics Department.