activity
20232026
collaborators

5 papers

cs.RO2026

ReliCAD: From Uncertain LLM Generation to Reliable Parametric CAD Modeling

Peng Zheng, Xintong Dong, Chuanyang Li +5

Large language models have shown considerable potential for natural-language-driven parametric CAD modeling. However, a fundamental contradiction exists between their probabilistic…

cs.GR2026

HistCAD: Constraint-Aware Parametric CAD Histories for Evaluating Editability

Xintong Dong, Chuanyang Li, Peng Zheng +5

Sketch constraints specify geometric conditions for constructing and modifying parametric CAD models. We study whether predicted constraints allow a given history to reproduce the…

cs.CV2025

Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification

Pengxiang Gao, Yihao Liang, Yanzhi Song +1

Fine-Grained Visual Classification (FGVC) aims to categorize closely related subclasses, a task complicated by minimal inter-class differences and significant intra-class variance.…

physics.comp-ph2024

A Multigrid Graph U-Net Framework for Simulating Multiphase Flow in Heterogeneous Porous Media

Jiamin Jiang, Jingrun Chen, Zhouwang Yang

Numerical simulation of multi-phase fluid dynamics in porous media is critical to a variety of geoscience applications. Data-driven surrogate models using Convolutional Neural Netw…

cs.HC2023

BrickPal: Augmented Reality-based Assembly Instructions for Brick Models

Yao Shi, Xiaofeng Zhang, Ran zhang +4

The assembly instruction is a mandatory component of Lego-like brick sets.The conventional production of assembly instructions requires a considerable amount of manual fine-tuning,…