Yu-Hsing Wang

According to our database, Yu-Hsing Wang authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

Generative AIBIM: An automatic and intelligent structural design pipeline integrating BIM and generative AI.

Zhili He, Yu-Hsing Wang, Jian Zhang

Inf. Fusion, 2025

2024

DDIM sampling for Generative AIBIM, a faster intelligent structural design framework.

Zhili He, Yu-Hsing Wang

CoRR, 2024

Mamba meets crack segmentation.

Zhili He, Yu-Hsing Wang

CoRR, 2024

Towards automatic urban tree inventory: Enhancing tree instance segmentation via moving object removal and a chord length-based DBH estimation approach.

Wai Yi Chau, Jun Kang Chow, Tun Jian Tan, Jimmy Wu, Mei Ling Leung, Pin Siang Tan, Siu Wai Chiu, Billy Chi Hang Hau, Hok Chuen Cheng, Yu-Hsing Wang

Comput. Electron. Agric., 2024

2023

Generative Structural Design Integrating BIM and Diffusion Model.

Zhili He, Yu-Hsing Wang, Jian Zhang

CoRR, 2023

Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark Dataset.

Zhili He, Wang Chen, Jian Zhang, Yu-Hsing Wang

CoRR, 2023

2021

Deep learning-enhanced extraction of drainage networks from digital elevation models.

Xin Mao, Jun Kang Chow, Zhaoyu Su, Yu-Hsing Wang, Jiaye Li, Tao Wu, Tiejian Li

Environ. Model. Softw., 2021

DV-Det: Efficient 3D Point Cloud Object Detection with Dynamic Voxelization.

Zhaoyu Su, Pin Siang Tan, Yu-Hsing Wang

CoRR, 2021

2020

DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with Dynamic Voxelization and 3D Group Convolution.

Zhaoyu Su, Pin Siang Tan, Jun Kang Chow, Jimmy Wu, Yehur Cheong, Yu-Hsing Wang

CoRR, 2020

Anomaly detection of defects on concrete structures with the convolutional autoencoder.

Jun Kang Chow, Zhaoyu Su, Jimmy Wu, Pin Siang Tan, Xin Mao, Yu-Hsing Wang

Adv. Eng. Informatics, 2020

2019

Is Discriminator a Good Feature Extractor?

Xin Mao, Zhaoyu Su, Pin Siang Tan, Jun Kang Chow, Yu-Hsing Wang

CoRR, 2019