Cheng Yuan

According to our database, Cheng Yuan authored at least 10 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Automatic generation of architecture drawings from point clouds.

Fengyu Zhang, Qingzhao Kong, Cheng Yuan, Peizhen Li

Comput. Aided Civ. Infrastructure Eng., November, 2024

Deep learning-based analysis of interface performance between brittle engineering materials and composites.

Chang He, Qingzhao Kong, Keyan Ji, Qingsong Xiong, Cheng Yuan

Expert Syst. Appl., 2024

Three-stage unsupervised learning approach fusing novel pseudo-label diffusion and math-physics translating for real-time structural damage detection.

Qingsong Xiong, Haibei Xiong, Cheng Yuan, Qingzhao Kong

Eng. Appl. Artif. Intell., 2024

2023

Spatial displacement tracking of vibrating structure using multiple feature points assisted binocular visual reconstruction.

Tao Huang, Cheng Yuan, Peizhen Li, Shiran Xu, Qingzhao Kong

Eng. Appl. Artif. Intell., November, 2023

Vision-aided three-dimensional damage quantification and finite element model geometric updating for reinforced concrete structures.

Qingzhao Kong, Jiaxuan Gu, Bing Xiong, Cheng Yuan

Comput. Aided Civ. Infrastructure Eng., November, 2023

Development of acoustic denoising learning network for communication enhancement in construction sites.

Zhenyu Peng, Qingzhao Kong, Cheng Yuan, Rongyan Li, Hung-Lin Chi

Adv. Eng. Informatics, April, 2023

GTRF: A general deep learning framework for tuples recognition towards supervised, semi-supervised and unsupervised paradigms.

Qingsong Xiong, Cheng Yuan, Bin He, Haibei Xiong, Qingzhao Kong

Eng. Appl. Artif. Intell., 2023

A novel deep convolutional image-denoiser network for structural vibration signal denoising.

Qingsong Xiong, Haibei Xiong, Cheng Yuan, Qingzhao Kong

Eng. Appl. Artif. Intell., 2023

Damage analysis and quantification of RC beams assisted by Damage-T Generative Adversarial Network.

Yanzhi Qi, Cheng Yuan, Peizhen Li, Qingzhao Kong

Eng. Appl. Artif. Intell., 2023

Vibration Recognition Based on Feature Extraction by Deep Autoencoder.

Qingsong Xiong, Cheng Yuan, Keyan Ji, Chang He, Haibei Xiong

Proceedings of the International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2023