Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Ming Luo 0005

dblp:73/2249-5 · DBLP profile ↗
← Back
3ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0003-1648-3425ORCID · conflict

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

Databases, data management, data science and information retrieval · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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
1 paper
Computational fabrication · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
machining
0.312018
Multi-axis variable depth-of-cut machining of thin-walled workpieces based on the workpiece deflection constraint · Comput. Aided Des. 2018
Computational fabrication › machining
multi-axis machining
0.312018
Multi-axis variable depth-of-cut machining of thin-walled workpieces based on the workpiece deflection constraint · Comput. Aided Des. 2018
YearPublicationVenuePosition
2024 A multimodal data sensing and feature learning-based self-adaptive hybrid approach for machining quality prediction
Yong Sheng, Yingfeng Zhang, Ming Luo 0005, Yifan Pang, Qinan Wang
Adv. Eng. Informatics4
2023 High-efficient view planning for surface inspection based on parallel deep reinforcement learning
Tao Peng 0012, Wenhu Wang, Ming Luo 0005
Adv. Eng. Informatics4
2018 Multi-axis variable depth-of-cut machining of thin-walled workpieces based on the workpiece deflection constraint
Qianhang Yan, Ming Luo 0005, Kai Tang 0001
Comput. Aided Des.2