Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xinmin Lai
dblp:65/5378
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Applied, 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
3 papers |
Geometric modeling and processing · 85% Computational fabrication · 15% | |
| Artificial intelligence
1 paper |
Robot manipulation · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 3 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › contact modeling
compliance modeling |
0.2 | 1 | 2015 | The Principal Axes Decomposition of Spatial Stiffness Matrices · IEEE Trans. Robotics 2015 |
Geometric modeling and processing › computer-aided design
tolerance analysis |
0.2 | 1 | 2014 | A comprehensive study of three dimensional tolerance analysis methods · Comput. Aided Des. 2014 |
Geometric modeling and processing › computer-aided design
assembly modeling |
0.1 | 1 | 2006 | A framework for an automotive body assembly process design system · Comput. Aided Des. 2006 |
Methods — techniques the papers use, named apart from their topics
eigenscrew decomposition · 0.4congruence transformation · 0.4tolerance analysis methods · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | The Principal Axes Decomposition of Spatial Stiffness MatricesabstractThis paper presents an alternative decomposition of spatial stiffness matrices based on the concept of compliant axes. According to the congruence transformation of spatial stiffness, the coordinate-invariant aspects, which are referred to as the central principal components of the 6 × 6 symmetric positive semidefinite matrices, can be derived uniquely. The proposed decomposition is free from the eigenvalue problems of the 6 × 6 stiffness matrices so that both Plücker's ray and axis coordinates can be utilized to characterize the elastic system's force-deflection behavior. Hence, an arbitrary spatial stiffness matrix can be uniquely decomposed into two sets of orthogonal spring wrenches with finite and infinite pitches, respectively. The decomposed wrenches with finite pitches correspond to the stiffness' wrench-compliant axes, along which linear deformations produce only wrenches parallel to them. As a result, three torsional and three screw springs are required, at the most, to realize a given spatial stiffness. Using the principal axes decomposition, some physical appreciations, such as the center of stiffness, the wrench-compliant axes, and the correspondence of compliance and stiffness, can be derived to reveal the inherent structure of spatial stiffness in an intuitive manner. In order to verify the effectiveness of the proposed method, two numerical examples are intensively studied with comparison to the eigenscrew decomposition. In addition, a potential application of the proposed stiffness decomposition method is also provided for the structural compliance modeling of flexible links in robot manipulators. Genliang Chen, Hao Wang 0015, Zhongqin Lin, Xinmin Lai |
IEEE Trans. Robotics | 4 |
| 2014 | A comprehensive study of three dimensional tolerance analysis methods
Sun Jin, Xinmin Lai |
Comput. Aided Des. | 4 |
| 2006 | A framework for an automotive body assembly process design system
Guanlong Chen, Jiangqi Zhou, Wayne Cai, Xinmin Lai, Zhongqin Lin, Roland Menassa |
Comput. Aided Des. | 4 |