most citedLearning-Based Finite Element Methods Modeling for Complex Mechanical Systems

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CE2026

What Do CAE Simulation Agents Really Need Beyond a Generic Harness?

Jiasheng Shi, Tianhan Zhang

Computer-aided engineering (CAE) simulation is among the largest and most demanding areas of engineering, where setting up a solver such as OpenFOAM, FEniCS, or COMSOL takes real e…

cs.CV2026

FormStruct-Bench:A Hierarchical and Diagnostic Benchmark for Table-Form Document Structure Recognition

Lujie Ban, Jiangtao Zhu, Yuanheng Yu +2

Transforming table-form documents into machine-processable records requires recovering not only their visible content but also the multilevel structure that organizes it. However,…

cs.IR2026

PreGress: Ranking-Native Pre-training and Prompting for Graph Node Ranking

Lujie Ban, Jiasheng shi, Yingli Zhou +5

Node ranking is a fundamental problem in graph information retrieval, measuring the relative importance of nodes and supporting a wide range of applications such as influence analy…

cs.DB2026

CAPER: Clause-Aligned Process Supervision for Text-to-SQL

Lujie Ban, Jiasheng Shi, Jinyang Li +3

Text-to-SQL systems are typically evaluated by query-level execution correctness, but this terminal signal provides little guidance about which intermediate SQL decision caused suc…

cs.LG2024

Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems

Fu Lin, Jiasheng Shi, Shijie Luo +3

Traditional simulation of complex mechanical systems relies on numerical solvers of Partial Differential Equations (PDEs), e.g., using the Finite Element Method (FEM). The FEM solv…

cs.LG20242 cited

Learning-Based Finite Element Methods Modeling for Complex Mechanical Systems

Jiasheng Shi, Fu Lin, Weixiong Rao

Complex mechanic systems simulation is important in many real-world applications. The de-facto numeric solver using Finite Element Method (FEM) suffers from computationally intensi…