3 papers
math.NA2025
A streamline upwind/Petrov-Galerkin method for the magnetic advection-diffusion problem
Haochen Li, Yangfan Luo, Jindong Wang +1
This paper presents the development and analysis of a streamline upwind/Petrov-Galerkin (SUPG) method for the magnetic advection-diffusion problem. A key feature of the method is a…
cs.AI2025
Continuum-Interaction-Driven Intelligence: Human-Aligned Neural Architecture via Crystallized Reasoning and Fluid Generation
Pengcheng Zhou, Zhiqiang Nie, Haochen Li
Current AI systems based on probabilistic neural networks, such as large language models (LLMs), have demonstrated remarkable generative capabilities yet face critical challenges i…
cs.CV2025
DNRSelect: Active Best View Selection for Deferred Neural Rendering
Dongli Wu, Haochen Li, Xiaobao Wei
Deferred neural rendering (DNR) is an emerging computer graphics pipeline designed for high-fidelity rendering and robotic perception. However, DNR heavily relies on datasets compo…