Technical report 2026
I am a third-year Ph.D. student in Computer Science at UT Austin, co-advised by Prof. Atlas Wang and Prof. Qixing Huang.
Previously, I completed my Master of Philosophy at CUHK, where I was fortunate to work with Prof. Tianfan Xue. I received my bachelor's degree from ShanghaiTech.
Research
I enjoy working on fundamental problems and applications in machine learning. My current research focuses on language modeling (diffusion language models, visual coding agents), training efficiency (decentralized training, representation alignment), and unified generation (autoregressive diffusion).
Selected work
* denotes equal contribution.
-
-
ICML 2026
Revisiting Spectral Representations in Generative Diffusion Models
Presented as a spotlight paper at ICML 2026 Workshop FoGen.
-
Technical report 2026
Autoregressive Diffusion for Compositional Text-to-Scene Generation
-
ICLR 2025
Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
-
SIGGRAPH (ACM TOG) 2024
Bilateral Guided Radiance Field Processing
Best Paper Honorable Mention
Available in R&D software: LichtFeld Studio and gsplat.
Outside of research
I'm really into playing (electric) guitar, especially genres rooted in rock and blues.