Demo Data from VLDB 2026 / reviewers in the wild / expert
Ke Xu 0007
dblp:181/2626-7
· DBLP profile ↗
5ranked-venue papers
3as first author
0since 2021 · last 2020
0000-0003-4934-1837ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 |
Computational fabrication · 88% Image and video processing · 6% Geometric modeling and processing · 6% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational fabrication
tool path generation |
0.6 | 2 | 2020 | Quasi-Optimal Tool Trajectories for High Speed 2.5D Process Based on Morphological Transformation · Comput. Aided Des. 2020 Five-axis Trochoidal Flank Milling of Deep 3D Cavities · Comput. Aided Des. 2020 |
Computational fabrication › machining
five-axis milling |
0.4 | 1 | 2020 | Five-axis Trochoidal Flank Milling of Deep 3D Cavities · Comput. Aided Des. 2020 |
Computational fabrication
machining |
0.4 | 1 | 2020 | Five-axis Trochoidal Flank Milling of Deep 3D Cavities · Comput. Aided Des. 2020 |
Image and video processing › mathematical morphology
morphological operator |
0.1 | 1 | 2020 | Quasi-Optimal Tool Trajectories for High Speed 2.5D Process Based on Morphological Transformation · Comput. Aided Des. 2020 |
Methods — techniques the papers use, named apart from their topics
trochoidal toolpath planning · 0.4morphological transformation · 0.4curved layer slicing · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Five-axis Trochoidal Flank Milling of Deep 3D Cavities
Lufeng Chen, Ke Xu 0007, Yongsheng Gao 0007, Kai Tang 0001 |
Comput. Aided Des. | 3 |
| 2020 | Quasi-Optimal Tool Trajectories for High Speed 2.5D Process Based on Morphological Transformation
Ke Xu 0007, Yingguang Li, Mengyuan Yang 0004 |
Comput. Aided Des. | 1 |
| 2019 | Curved layer based process planning for multi-axis volume printing of freeform parts
Ke Xu 0007, Yingguang Li, Lufeng Chen, Kai Tang 0001 |
Comput. Aided Des. | 1 |
| 2019 | Support-Free Layered Process Planning Toward 3 + 2-Axis Additive ManufacturingabstractFor the traditional three-axis configuration of additive manufacturing (AM) platform, it is imperative to construct adequate support structures prior to the fabrication of overhanging features on the part geometry. To completely eliminate the use of support by taking advantage of the newly emerged five-axis AM platform, a novel multidirectional process planning algorithm for 3 + 2-axis AM is proposed in this paper. The core of the strategy is to decompose the model into support-free parts directly pertaining to the cusp-height constraint, each with its own build direction. The nozzle will follow the staged sequence to fabricate each individual part along its build direction, as facilitated by the adjustable orientation of the nozzle head on a five-axis platform. For model decomposition, a recursive downward flooding expansion algorithm is introduced to identify a surface patch in accordance with the support-free criteria. After being stitched as a watertight geometry, the decomposed part together with the remaining part will be archived into a prescribed hierarchy based on which the build sequence is readily established. Preliminary testing results have verified the effectiveness of the algorithm to handle the geometries of different types. Note to Practitioners-This paper was motivated by the deficiencies encountered in traditional three-axis additive manufacturing (AM). In practice, most commercialized 3-D printers are of three-axis configuration, on which it is required to construct support structures for those overhanging features on the part geometry. These support structures not only cost extra time and materials but also leave noticeable artifacts on the part surface even after the clean-up process. As an ultimate solution to this issue, the newly emerged five-axis AM platform is able to physically eliminate the need for support by properly and continuously adjusting the build direction. This, however, demands a delicate algorithm for determining the changing build direction for an arbitrary part that is currently unavailable. To simplify this challenging task, we took advantage of the 3 + 2 motion capability of the five-axis AM platform to progressively plan the three-axis printing process for a given freeform model. The core idea of our solution is to decompose the model by a flooding-like algorithm into individual support-free parts, each of which is printable along a fixed build direction without any support. The nozzle will then follow a prescribed sequence to print each part one on the other. The proposed algorithm is purely geometric, without taking into account the material property and the mass distribution. Preliminary testing results show that our approach is feasible and robust when dealing with limited geometries that abide a tree-like structure and features a clear flat base. Besides these geometric limitations, our current preliminary scheme for collision avoidance may become invalid upon an arbitrary complex geometry. We will further extend this method to cater to more sophisticated and general geometries. Ke Xu 0007, Lufeng Chen, Kai Tang 0001 |
IEEE Trans Autom. Sci. Eng. | 1 |
| 2018 | Optimized sequence planning for multi-axis hybrid machining of complex geometries
Li Chen 0010, Ke Xu 0007, Kai Tang 0001 |
Comput. Graph. | 2 |