29 citations · 38 across the 6 of their papers we have counts for
6 papers
Physics-Guided Dual-Stream Heterogeneous Graph Neural Network for Predicting Full-Field Structural Response of Stiffened Panels
Yuecheng Cai, Jasmin Jelovica
Iterative design and optimization of large, complex structures require fast and accurate prediction of stress, displacement, and other fields. Finite element analysis (FEA) is comp…
Hubble: An LLM-Driven Agentic Framework for Safe, Diverse, and Reproducible Alpha Factor Discovery
Runze Shi, Shengyu Yan, Yuecheng Cai +1
Automated alpha discovery is difficult because the search space of formulaic factors is combinatorial, the signal-to-noise ratio in daily equity data is low, and unconstrained prog…
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network
Yuecheng Cai, Jasmin Jelovica
This study presents a computational framework for global local structural analysis of ship hull girders that integrates an equivalent single layer (ESL) model with a graph neural n…
Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
Yuecheng Cai, Jasmin Jelovica
Surrogate models are essential in structural analysis and optimization. We propose a heterogeneous graph representation of stiffened panels that accounts for geometrical variabilit…
Graph Neural Network for Stress Predictions in Stiffened Panels Under Uniform Loading
Yuecheng Cai, Jasmin Jelovica
Machine learning (ML) and deep learning (DL) techniques have gained significant attention as reduced order models (ROMs) to computationally expensive structural analysis methods, s…
Physics-informed Neural Network: The Effect of Reparameterization in Solving Differential Equations
Siddharth Nand, Yuecheng Cai
Differential equations are used to model and predict the behaviour of complex systems in a wide range of fields, and the ability to solve them is an important asset for understandi…