Candi Zheng
About Me
I am currently a post doc researcher at Hong Kong University of Science and Technology (HKUST). I received my Ph.D. in a joint program between the Department of Mathematics at Hong Kong University of Science and Technology (HKUST) and the Department of Mechanics and Aerospace Engineering at the Southern University of Science and Technology (SUSTech), superivsed by Professor Yang Wang and Professor Shiyi Chen. My academic background includes a B.S. in Physics from SUSTech and a pure math Ph.D. qualification from HKUST.
Research Interests
My research focuses on AI and non-equilibrium physics, particularly generative modeling and kinetic theory, with an emphasis on physics insights and mathematical solidity.
- Generative Diffusion Model: Enhance image generation quality and control ability in diffusion models.
- Non-Equilibrium Physics: More accurate AI-based constitutive relations for kinetic theory, rarefied gas dynamics, shock waves, and light scattering.
News
LanPaint
We are excited to share our publicly available extension, the LanPaint, which provides high quality training free inpaint ability for every stable diffusion model.
Characteristic Guidance Web UI
We are excited to share our publicly available extension, the Characteristic Guidance Web UI, which provides large CFG (Cassifier-Free Guidance) scale correction for the Stable Diffusion web UI (AUTOMATIC1111).
Moment Gauge
Try our python & JAX library Moment Gauge, designed to facilitate the implementation of numerical solvers using the maximal entropy moment method. Built on the JAX framework, Moment Gauge aims to provide reusable code for researchers and developers working with rarefied gas dynamics and other applications of the maximal entropy moment method.
Blog Posts
Check my Blog Posts about diffusion model theory.
Publications
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Arxiv
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Nanoscale
Arxiv
ICML
Arxiv
PRE
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