Rong Yu

Discovering Latent Causal Graphs from Spatiotemporal Data

2024 · arXiv (Cornell University)

Many important phenomena in scientific fields like climate, neuroscience, and epidemiology are naturally represented as spatiotemporal gridded data with complex interactions. Inferring causal relationships from these data is a challenging problem compounded by the high …

Large Language-Geometry Model: When LLM meets Equivariance

2025 · arXiv (Cornell University)

Accurately predicting 3D structures and dynamics of physical systems is crucial in scientific applications. Existing approaches that rely on geometric Graph Neural Networks (GNNs) effectively enforce $\mathrm{E}(3)$-equivariance, but they often fall in leveraging extensive broader …

Research on Quality Evaluation of Multi-State Data of Substation Equipment Based on Game Theory Combined Weighting-Comprehensive Evaluation

2024

Based on the game theory combination weighting-comprehensive evaluation method, this paper proposes a new method for evaluating the quality of polymorphic data. By building a data quality evaluation system for five indicators of integrity, accuracy, …