activity
20232025
most citedA natural-language-based approach to intelligent data retrieval and representation for cloud BIM

172 citations · 371 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG202513 cited

BIGNet: Pretrained Graph Neural Network for Embedding Semantic, Spatial, and Topological Data in BIM Models

Jin Han, Xin-Zheng Lu, Jia-Rui Lin

Large Foundation Models (LFMs) have demonstrated significant advantages in civil engineering, but they primarily focus on textual and visual data, overlooking the rich semantic, sp…

cs.CR202447 cited

A Multi-Server Information-Sharing Environment for Cross-Party Collaboration on A Private Cloud

Jianping Zhang, Qiang Liu, Zhenzhong Hu +2

Interoperability remains the key problem in multi-discipline collaboration based on building information modeling (BIM). Although various methods have been proposed to solve the te…

cs.HC2024172 cited

A natural-language-based approach to intelligent data retrieval and representation for cloud BIM

Jia-Rui Lin, Zhen-Zhong Hu, Jian-Ping Zhang +1

As the information from diverse disciplines continues to integrate during the whole life cycle of an Architecture, Engineering, and Construction (AEC) project, the BIM (Building In…

cs.SI202432 cited

An Approach to Twinning and Mining Collaborative Network of Construction Projects

Jia-Rui Lin, Da-Peng Wu

Understanding complex collaboration processes is essential for the success of construction projects. However, there is still a lack of efficient methods for timely collection and a…

cs.LG2024

What makes a good BIM design: quantitative linking between design behavior and quality

Xiang-Rui Ni, Peng Pan, Jia-Rui Lin

In the Architecture Engineering & Construction (AEC) industry, how design behaviors impact design quality remains unclear. This study proposes a novel approach, which, for the firs…

eess.SP2024

Exploring the Feasibility of Automated Data Standardization using Large Language Models for Seamless Positioning

Max J. L. Lee, Ju Lin, Li-Ta Hsu

We propose a feasibility study for real-time automated data standardization leveraging Large Language Models (LLMs) to enhance seamless positioning systems in IoT environments. By…