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Lujie Ma

dblp:32/3634 · DBLP profile ↗
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6ranked-venue papers
3as first author
1since 2021 · last 2025
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 6 · 3 first-author · 1 since 2021

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%
Computer graphics and multimedia
2 papers
Geometric modeling and processing · 100%
Theoretical computer science
1 paper
Computational geometry · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
structural optimization
0.912025
Extracting fiber paths from the optimized lamination parameters of variable-stiffness laminated shells based on physic-informed neural network · Comput. Aided Des. 2025
Computational geometry
geometric modeling and processing
0.212013
Partial retrieval of CAD models based on local surface region decomposition · Comput. Aided Des. 2013
Geometric modeling and processing › solid modeling
swept volume
0.112006
Feature conversion based on decomposition and combination of swept volumes · Comput. Aided Des. 2006
Information retrieval › multimedia analysis and retrieval
3d model retrieval
0.012013
Partial retrieval of CAD models based on local surface region decomposition · Comput. Aided Des. 2013
Information retrieval
multimedia analysis and retrieval
0.012013
Partial retrieval of CAD models based on local surface region decomposition · Comput. Aided Des. 2013
Geometric modeling and processing › computer-aided design
CAD model
0.012009
Extracting common design patterns from a set of solid models · Comput. Aided Des. 2009

Methods — techniques the papers use, named apart from their topics

physics-informed neural networks · 0.9surface decomposition · 0.3
YearPublicationVenuePosition
2025 Extracting fiber paths from the optimized lamination parameters of variable-stiffness laminated shells based on physic-informed neural network
Lujie Ma, Kuan Fan, Zhengdong Huang
Comput. Aided Des.2
2013 Partial retrieval of CAD models based on local surface region decomposition
Songqiao Tao, Zhengdong Huang, Lujie Ma, Shunsheng Guo, Youbai Xie
Comput. Aided Des.3
2010 Automatic discovery of common design structures in CAD models
Lujie Ma, Zhengdong Huang
Comput. Graph.1
2009 Common design structure discovery from CAD models
abstract
This paper presents a method to solve the problem of common design structure discovery from a large number of CAD models. First, a CAD model is transformed into a face adjacency graph (FAG) and each node of FAG is mapped to a point in two-dimensional plane after representing face shape information with two coordinates. So the shapes of models are directly compared through the point coordinates of FAGs' nodes. Thus, the common design structures are just the frequent appearing subgraphs of FAGs. Second, we develop an algorithm to discovery frequent subgraphs of FAGs. The main steps of the algorithm include: (1) frequent candidate subgraph generation based on merging of last discovered frequent subgraphs; (2)subgraph matching with graph descriptive code. The experiment shows a reasonable result of the discovered common design structures with our approach.
Lujie Ma, Zhengdong Huang
CAD/Graphics1
2009 Extracting common design patterns from a set of solid models
Lujie Ma, Zhengdong Huang, Qingsong Wu
Comput. Aided Des.1
2006 Feature conversion based on decomposition and combination of swept volumes
Zhengdong Huang, Lujie Ma
Comput. Aided Des.3