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Wanbin Pan

dblp:76/10436 · DBLP profile ↗
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8ranked-venue papers
5as first author
4since 2021 · last 2026
0000-0002-7557-3060ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 6 · 4 first-author · 3 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
4 papers
Geometric modeling and processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
computer-aided design
2.342025
An automatic approach for generating parametric models from topology-optimization results for three-axis CNC machining · Comput. Aided Des. 2025
A validity- and kinematics-aware approach for optimizing fabrication orientation · Comput. Aided Des. 2023
Automatic shape adaptation scheme planning for CAD models in direct modeling · Comput. Aided Des. 2022
Geometric modeling and processing › shape modeling
parametric modeling
1.122025
An automatic approach for generating parametric models from topology-optimization results for three-axis CNC machining · Comput. Aided Des. 2025
Automatic shape adaptation for parametric solid models · Comput. Aided Des. 2015
Geometric modeling and processing
shape optimization
0.742025
An automatic approach for generating parametric models from topology-optimization results for three-axis CNC machining · Comput. Aided Des. 2025
A validity- and kinematics-aware approach for optimizing fabrication orientation · Comput. Aided Des. 2023
Automatic shape adaptation scheme planning for CAD models in direct modeling · Comput. Aided Des. 2022
Geometric modeling and processing
topology optimization
0.312025
An automatic approach for generating parametric models from topology-optimization results for three-axis CNC machining · Comput. Aided Des. 2025
YearPublicationVenuePosition
2026 An intelligent approach for reconstructing feature-based models from boundary representations via organic adaptation of two-level networks
Wanbin Pan, Hongdu Zhu, Weijuan Cao, Shuming Gao
Eng. Appl. Artif. Intell.1
2025 An automatic approach for generating parametric models from topology-optimization results for three-axis CNC machining
Wanbin Pan, Haiying Kuang, Shuming Gao, Yigang Wang, Lixian Qiao
Comput. Aided Des.1
2023 A validity- and kinematics-aware approach for optimizing fabrication orientation
Wanbin Pan, Xinying Zhang, Shufang Wang, Wen Feng Lu, Yigang Wang
Comput. Aided Des.1
2022 Automatic shape adaptation scheme planning for CAD models in direct modeling
Wanbin Pan, Yuncan Yang, Shuming Gao, Yigang Wang, Shufang Wang
Comput. Aided Des.1
2015 Automatic shape adaptation for parametric solid models
Wanbin Pan, Xiang Chen 0001, Shuming Gao
Comput. Aided Des.1
2015 GPU Accelerated Real-Time Collision Handling in Virtual Disassembly
Jieyi Zhao, Wanbin Pan, Yigang Wang
J. Comput. Sci. Technol.3
2012 Adaptive tetrahedral remeshing for modified solid models
Shuming Gao, Ming Li 0017, Wanbin Pan
Graph. Model.4
2007 3D CAD Modeling Using Automatically Reconstructable Assemblies
abstract
The size-driven mechanism is only applied in automatically reconstructing parts by most of recent popular 3D CAD tools, however, most of them have not realized the automatic reconstructing assemblies at all. In this paper, we propose a novel 3D modeling method, which integrates size parameter and change rules into the model, so that an assembly becomes an object which can automatically reconstruct any parts according to the rules once the whole model size changes. Using this method, we not only keep the size- driven mechanism in part, but also make assemblies have the ability of automatic reconstruction. The results of experiments in furniture design application show our method can greatly improve models' flexibility and reusability.
Yigang Wang, Wanbin Pan, Linqiang Chen
CAD/Graphics2