Xiaoping Qian

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EDBT 2026 Demo / reviewers in the wild / expert

dblp:21/3674 · DBLP profile ↗

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22ranked-venue papers

5as first author

1since 2021 · last 2023

0000-0002-9159-9877ORCID · verified

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

Graphics, computer vision, multimedia, augmented reality and games · 21 · 5 first-author · 1 since 2021Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 16 papers		Geometric modeling and processing · 99% Computational photography and imaging · 1%
Artificial intelligence 1 paper		Deep learning architectures and training · 100%
Interdisciplinary, comprehensive, and emerging computing 3 papers		Computational science and engineering · 100%

Topics — the 15 heaviest of 19, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Deep learning architectures and training physics-informed neural network	0.7	1	2023	A Framework for Physics-Informed Deep Learning Over Freeform Domains · Comput. Aided Des. 2023
Geometric modeling and processing › computer-aided design generative design	0.4	1	2019	Advances in generative design · Comput. Aided Des. 2019
Computational science and engineering › finite element analysis isogeometric analysis	0.3	2	2014	Isogeometric analysis on triangulations · Comput. Aided Des. 2014 Isogeometric analysis and shape optimization via boundary integral · Comput. Aided Des. 2011
Computational science and engineering finite element analysis	0.2	1	2016	A statistical atlas based approach to automated subject-specific FE modeling · Comput. Aided Des. 2016
Geometric modeling and processing › shape modeling › data-driven shape modeling statistical shape model	0.2	1	2015	Direct diffeomorphic reparameterization for correspondence optimization in statistical shape modeling · Comput. Aided Des. 2015
Geometric modeling and processing › point cloud processing point-set surfaces	0.1	1	2011	Computing point-set surfaces with controlled spatial variation of residuals · Comput. Aided Des. 2011
Geometric modeling and processing shape analysis	0.1	1	2018	Total variance based feature point selection and applications · Comput. Aided Des. 2018
Geometric modeling and processing › solid modeling boolean operations	0.1	1	2009	Direct boolean intersection between acquired and designed geometry · Comput. Aided Des. 2009
Geometric modeling and processing › computer-aided design › product modeling heterogeneous object design	0.1	2	2004	Feature-based design for heterogeneous objects · Comput. Aided Des. 2004 Design of heterogeneous turbine blade · Comput. Aided Des. 2003
Geometric modeling and processing computer-aided design	0.1	1	2017	Isogeometric design and analysis · Comput. Aided Des. 2017
Geometric modeling and processing › surface reconstruction › spline-based reconstruction b-spline surface reconstruction	0.1	1	2007	Dynamic B-spline surface reconstruction: Closing the sensing-and-modeling loop in 3D digitization · Comput. Aided Des. 2007
Geometric modeling and processing › solid modeling heterogeneous object modeling	0.1	1	2007	A B-spline-based approach to heterogeneous objects design and analysis · Comput. Aided Des. 2007
Geometric modeling and processing surface reconstruction	0.1	1	2007	Dynamic B-spline surface reconstruction: Closing the sensing-and-modeling loop in 3D digitization · Comput. Aided Des. 2007
Geometric modeling and processing › computer-aided design feature-based design	0.0	1	2004	Feature-based design for heterogeneous objects · Comput. Aided Des. 2004
Geometric modeling and processing reverse engineering	0.0	1	2009	Direct boolean intersection between acquired and designed geometry · Comput. Aided Des. 2009

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

physics-informed neural networks · 0.7physics-informed neural network · 0.7isogeometric analysis · 0.5statistical atlas construction · 0.5optimization approach · 0.4total variance · 0.3diffeomorphic reparameterization · 0.2boundary integral equation · 0.1

Year	Publication	Venue	Position
2023	A Framework for Physics-Informed Deep Learning Over Freeform Domains Francesco Mezzadri, Joshua Gasick, Xiaoping Qian	Comput. Aided Des.	3
2019	Advances in generative design Jun Wu 0005, Xiaoping Qian, Michael Yu Wang	Comput. Aided Des.	2
2018	Total variance based feature point selection and applications Xiaoping Qian	Comput. Aided Des.	2
2017	Isogeometric design and analysis Bert Jüttler, Xiaoping Qian, Michael A. Scott	Comput. Aided Des.	2
2016	A statistical atlas based approach to automated subject-specific FE modeling Xiaoping Qian	Comput. Aided Des.	2
2015	Direct diffeomorphic reparameterization for correspondence optimization in statistical shape modeling Xiaoping Qian	Comput. Aided Des.	2
2015	Covariance matrix of a shape population: A tale on spline setting Xiaoping Qian	Comput. Graph.	2
2014	Isogeometric analysis on triangulations Noah Jaxon, Xiaoping Qian	Comput. Aided Des.	2
2014	An optimization approach for constructing trivariate B-spline solids Xiaoping Qian	Comput. Aided Des.	2
2011	Isogeometric analysis and shape optimization via boundary integral Xiaoping Qian	Comput. Aided Des.	2
2011	Computing point-set surfaces with controlled spatial variation of residuals Xiaoping Qian	Comput. Aided Des.	2
2009	Scanning in atomic force microscopy abstract In this paper, we present an adaptive scanning approach for atomic force microscopy (AFM) imaging. Our simulation results demonstrate that this new approach can achieve approximately one order of magnitude better scanning efficiency over current scanning method. The basic idea of our new approach is two-fold: the scan speed along the fast-scan axis is adaptive to the local curvature and slope in the fast-scan direction; the scan-line interval along the slow-scan axis is adaptive to curvature along the slow-scan direction. Xiaoping Qian	ICRA	2
2009	NURBS based molecular force calculation abstract The progress of nanotechnology has made it possible to make miniature electromechanical devices of sub-micrometer scale. This means that we will be in need of design packages that can model the physical properties of objects and their interactions involved down in nanometer scale. Toward this goal, our aim in this paper is to develop a computing procedure for determining molecular interaction forces, i.e. van der Waals force, between objects of arbitrary geometry. Pinghai Yang, Xiaoping Qian	Symposium on Solid and Physical Modeling	2
2009	Multi-sensor calibration through iterative registration and fusion Yunbao Huang, Xiaoping Qian, Shiliang Chen	Comput. Aided Des.	2
2009	Editorial Xiaoping Qian, Imre Horváth	Comput. Aided Des.	1
2009	Direct boolean intersection between acquired and designed geometry Pinghai Yang, Xiaoping Qian	Comput. Aided Des.	2
2007	Dynamic B-spline surface reconstruction: Closing the sensing-and-modeling loop in 3D digitization Yunbao Huang, Xiaoping Qian	Comput. Aided Des.	2
2007	A B-spline-based approach to heterogeneous objects design and analysis Pinghai Yang, Xiaoping Qian	Comput. Aided Des.	2
2005	Admissible transformation volume for part dimensional quality gauging Xiaoping Qian, Dean M. Robinson, Joseph Ross	Comput. Aided Des.	1
2004	Feature-based design for heterogeneous objects Xiaoping Qian, Debasish Dutta	Comput. Aided Des.	1
2003	Design of heterogeneous turbine blade Xiaoping Qian, Debasish Dutta	Comput. Aided Des.	1
2003	Heterogeneous object modeling through direct face neighborhood alteration Xiaoping Qian, Debasish Dutta	Comput. Graph.	1