no code implementations • 22 Sep 2023 • Saika Wong, Chunmo Zheng, Xing Su, Yinqiu Tang
This paper presents a novel approach that leverages LLMs with construction contract knowledge to emulate the process of contract review by human experts.
no code implementations • 21 Sep 2023 • Chunmo Zheng, Saika Wong, Xing Su, Yinqiu Tang
The emergence of large language models (LLMs) presents an unprecedented opportunity to automate construction contract management, reducing human errors and saving significant time and costs.
1 code implementation • 20 Feb 2023 • Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal
This model addresses the heterogeneity of social media, and, with this graph, the information in social media can be used to capture structural information based on the properties of hyperbolic space.
1 code implementation • 21 Dec 2022 • Xing Su, Jian Yang, Jia Wu, Yuchen Zhang
In this paper, we construct a dual-layer graph (i. e., the news layer and the user layer) to extract multiple relations of news and users in social networks to derive rich information for detecting fake news.
no code implementations • 26 May 2021 • Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
A community reveals the features and connections of its members that are different from those in other communities in a network.
no code implementations • 1 Feb 2021 • Xing Su, Yan Kong, Weihua Li
Computer-based modelling and simulation have become useful tools to facilitate humans to understand systems in different domains, such as physics, astrophysics, chemistry, biology, economics, engineering and social science.
1 code implementation • International Journal of Modern Physics C 2020 • Xing Su, Jianjun Cheng, Haijuan Yang, Mingwei Leng, Wenbo Zhang, Xiaoyun Chen
When the network evolves from the previous snapshot to the current one, the proposed method only considers the community affiliations of partial nodes efficiently, which are either newborn nodes or some active nodes from the previous snapshot.
no code implementations • Complexity 2019 • Jianjun Cheng, Xing Su, Haijuan Yang, Longjie Li, Jingming Zhang, Shiyan Zhao, Xiaoyun Chen
In the first phase, we first take out the node with the largest degree from the network to take it as an exemplar of the first community and insert its most similar neighbor node into the community as well.