no code implementations • 10 Dec 2023 • Hongbin Lin, Juangui Xu, Qingfeng Xu, Zhengyu Hu, Handing Xu, Yunzhi Chen, Yongjun Hu, Zhenguo Nie
Our model significantly cuts down the training costs tied to supervised approaches and introduces RGB coloration to 3D point clouds, enriching the visual experience.
no code implementations • 10 Mar 2023 • Zipeng Lin, Zhenguo Nie
In this paper, we propose an approach to address the problem of classifying 3D industrial components by introducing a novel framework named IC-classifier (Industrial Component classifier).
1 code implementation • 12 Mar 2021 • Qingfeng Xu, Zhenguo Nie, Handing Xu, Haosu Zhou, Xinjun Liu
In stress field analysis, the finite element analysis is a crucial approach, in which the mesh-density has a significant impact on the results.
1 code implementation • 20 Feb 2021 • Chenglin Pan, Kuan Yan, Xiao Liu, Yanjie Chen, Yanyan Luo, Xiaoming Li, Zhenguo Nie, Xinjun Liu
Artificial intelligence methods have been increasingly turning into a potentially powerful tool in the diagnosis and management of diseases.
1 code implementation • 5 Mar 2020 • Zhenguo Nie, Tong Lin, Haoliang Jiang, Levent Burak Kara
In topology optimization using deep learning, load and boundary conditions represented as vectors or sparse matrices often miss the opportunity to encode a rich view of the design problem, leading to less than ideal generalization results.
1 code implementation • 27 Aug 2018 • Zhenguo Nie, Haoliang Jiang, Levent Burak Kara
The demand for fast and accurate structural analysis is becoming increasingly more prevalent with the advance of generative design and topology optimization technologies.