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Recent News
Paper Accepted at CVPR 2026
Our paper "Forecast the Principal, Stabilize the Residual: Subspace-Aware Feature Caching for Efficient Diffusion Transformers" has been accepted for publication at CVPR 2026. This paper aims to improve the efficiency of diffusion transformers by introducing a subspace-aware feature caching mechanism using SVD decomposition.
2026-02-21
Paper Accepted at CVPR 2026
Our paper "From Sketch to Fresco: Efficient Diffusion Transformer with Progressive Resolution" has been accepted for publication at CVPR 2026. This paper proposes a progressive resolution approach to enhance the efficiency of diffusion transformers while maintaining high-quality results.
2026-02-21
Invited to Give Oral Presentation at ICLR 2026
Our paper "Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers" is selected for an oral presentation at ICLR 2026.
2026-02-06
Singapore & Malaysia
Visiting Singapore and Malaysia on a family trip.
2026-02
Paper Accepted at ICLR 2026
Our paper "Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers" has been accepted for publication at ICLR 2026. This paper introduces a hybrid feature caching strategy that allows for different solvers to be selected dynamically for different clusters, improving the efficiency and quality of diffusion transformers.
2026-01-26
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Sun Yat-sen University
I am currently pursuing my undergraduate studies at Sun Yat-sen University, where I am majoring in Computer Science. I have been actively involved in research projects and have published several papers in top-tier conferences and journals.
Shenzhen Middle School
I received my high school education at Shenzhen Middle School, where I developed a strong foundation in computer science and mathematics, and participated in various extracurricular activities that sparked my interest in technology and research.