5 papers
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…
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…
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…
Prompt-based Graph Model for Joint Liberal Event Extraction and Event Schema Induction
Haochen Li, Di Geng
Events are essential components of speech and texts, describing the changes in the state of entities. The event extraction task aims to identify and classify events and find their…
GraphERE: Jointly Multiple Event-Event Relation Extraction via Graph-Enhanced Event Embeddings
Haochen Li, Di Geng
Events describe the state changes of entities. In a document, multiple events are connected by various relations (e.g., Coreference, Temporal, Causal, and Subevent). Therefore, obt…