I am a fourth-year Ph.D. student at Tsinghua University, advised by Prof. Kun Xu. My research lies at the intersection of real-time rendering and artificial intelligence, with a focus on applying neural networks to solve rendering problems. Apart from rendering, I am also interested in topics about Monte Carlo PDE solvers. I received my bachelor's degree from IIIS, Tsinghua University in 2023.

Publications

Pixel-Light Attention for Neural Many Light Importance Sampling
Pixel-Light Attention for Neural Many Light Importance Sampling
Xuejun Hu, Jinfan Lu, Kun Xu
ACM Transactions on Graphics (SIGGRAPH Asia 2026)
Gradient Domain Reconstruction for Monte Carlo PDE Solvers
Gradient Domain Reconstruction for Monte Carlo PDE Solvers Best Paper Honorable Mention
ACM Transactions on Graphics (SIGGRAPH 2026)
Kernel Predicting Neural Shadow Maps
Kernel Predicting Neural Shadow Maps
Xuejun Hu, Jinfan Lu, Kun Xu
SIGGRAPH 2025 Conference Paper
Extended Path Space Manifolds for Physically Based Differentiable Rendering
Extended Path Space Manifolds for Physically Based Differentiable Rendering
SIGGRAPH Asia 2023 Conference Paper
Differentiable Rendering using RGBXY Derivatives and Optimal Transport
Differentiable Rendering using RGBXY Derivatives and Optimal Transport
ACM Transactions on Graphics (SIGGRAPH Asia 2022)