Rubin Fan

According to our database, Rubin Fan authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

UniSketch: A Unified Framework for Parametric Sketch Generation and Constraint Prediction.

Jing Lin, Fazhi He, Rubin Fan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CADCL: Reconstruct parametric CAD models from B-rep via contrastive learning.

Jianfei Liang, Fazhi He, Rubin Fan, Yiyang Chu, Xiaohu Yan

J. Comput. Des. Eng., 2025

A parametric and feature-based CAD dataset to support human-computer interaction for advanced 3D shape learning.

Rubin Fan, Fazhi He, Yuxin Liu, Yupeng Song, Linkun Fan, Xiaohu Yan

Integr. Comput. Aided Eng., 2025

A history-based parametric CAD sketch dataset with advanced engineering commands.

Rubin Fan, Fazhi He, Yuxin Liu, Jing Lin

Comput. Aided Des., 2025

NamingCAD: A Naming Method for Unique Identification toward CAD Modeling Learning.

Yuxin Liu, Fazhi He, Rubin Fan, Zhihao Zong

Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

Reconstruct PFCAD Models with Dual-Transformer and Continuation Attention.

Zhihao Zong, Fazhi He, Rubin Fan, Yuxin Liu

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024

MEAN: An attention-based approach for 3D mesh shape classification.

Jicheng Dai, Rubin Fan, Yupeng Song, Qing Guo, Fazhi He

Vis. Comput., April, 2024

MBA: Backdoor Attacks Against 3D Mesh Classifier.

Linkun Fan, Fazhi He, Tongzhen Si, Rubin Fan, Chuanlong Ye, Bing Li

IEEE Trans. Inf. Forensics Secur., 2024

View2CAD: Parsing Multi-view into CAD Command Sequences.

Yi Zhang, Fazhi He, Rubin Fan, Bo Fan

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

3D reconstruction based on hierarchical reinforcement learning with transferability.

Lan Li, Fazhi He, Rubin Fan, Bo Fan, Xiaohu Yan

Integr. Comput. Aided Eng., 2023

P2CADNet: An End-to-End Reconstruction Network for Parametric 3D CAD Model from Point Clouds.

Zhihao Zong, Fazhi He, Rubin Fan, Yuxin Liu

CoRR, 2023