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ORCIDBo Huang 0011
Person information
- affiliation: Northwestern Polytechnical University, Key Laboratory of Contemporary Designing and Integrated Manufacturing Technology, Ministry of Education, Xi'an, China
Other persons with the same name
- Bo Huang — disambiguation page
- Bo Huang 0001
![[0000-0002-5063-3522]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5063-3522")
— Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong (and 1 more) - Bo Huang 0002 — Intel Asia Pacific R&D Company
- Bo Huang 0003 — Harbin Institute of Technology, China
- Bo Huang 0004 — Waseda University, Japan
- Bo Huang 0005 — China University of Geosciences, Wuhan, China
- Bo Huang 0006 — University of Electronic Science and Technology of China
- Bo Huang 0007 — Chongqing University, College of Economics and Business Administration, China
- Bo Huang 0008 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Bo Huang 0009 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
- Bo Huang 0010 — Tongji University, Department of Information and Communication Engineering, Shanghai, China
- Bo Huang 0012 — Beijing Institute of Technology, School of Optics and Photonics, Beijing, China
- Bo Huang 0013 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China
- Bo Huang 0014 — Shanghai University of Engineering Science, School of Electronic and Electrical Engineering, China
- Bo Huang 0015 — Beihang University, School of Mathematical Sciences, Beijing, China
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2020 – today
- 2024
[j12]Zhen Wang, Shusheng Zhang, Hang Zhang, Yajun Zhang, Jiachen Liang, Rui Huang, Bo Huang:
Machining feature process route planning based on a graph convolutional neural network. Adv. Eng. Informatics 59: 102249 (2024)- [j11]Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zhen Wang, Bo Huang, Rui Huang:
A novel method for intersecting machining feature segmentation via deep reinforcement learning. Adv. Eng. Informatics 59: 102256 (2024) - [j10]Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zheng Wang, Bo Huang, Rui Huang:
A novel method based on deep reinforcement learning for machining process route planning. Robotics Comput. Integr. Manuf. 86: 102688 (2024) - 2023
- [j9]Bo Huang, Kai He, Rui Huang, Feifei Zhang, Shusheng Zhang:
Blockchain-based application for NC machining process decision and transaction. Adv. Eng. Informatics 57: 102037 (2023) - [j8]Rui Huang, ZeFan Han, Mingtao Fei, Bo Huang, Junfeng Jiang:
An effective process design intent inference method of process data via integrating deep learning and grammar parsing. Adv. Eng. Informatics 58: 102174 (2023) - [j7]ZeFan Han, Rui Huang, Bo Huang, Junfeng Jiang, Xiuling Li:
Data-Driven and Knowledge-Guided Approach for NC Machining Process Planning. Comput. Aided Des. 162: 103562 (2023) - 2022
- [j6]Yajun Zhang, Shusheng Zhang, Rui Huang, Bo Huang, Jiachen Liang, Hang Zhang, Zheng Wang:
Combining deep learning with knowledge graph for macro process planning. Comput. Ind. 140: 103668 (2022)
2010 – 2019
- 2019
- [j5]Bo Huang, Shusheng Zhang, Rui Huang, Xiuling Li, Yajun Zhang, Jiachen Liang:
An Effective Numerical Control Machining Process Optimization Approach of Part With Complex Pockets for Numerical Control Process Reuse. IEEE Access 7: 45146-45165 (2019) - [j4]Bo Huang, Shusheng Zhang, Rui Huang, Xiuling Li, Yajun Zhang, Jiachen Liang:
A complex network based NC process skeleton extraction approach. Comput. Ind. 113 (2019) - 2017
- [j3]Changhong Xu, Shusheng Zhang, Bo Huang, Xiuling Li, Rui Huang:
NC process reuse oriented effective subpart retrieval approach of 3D CAD models. Comput. Ind. 90: 1-16 (2017) - 2015
- [j2]Rui Huang, Shusheng Zhang, Xiaoliang Bai, Changhong Xu, Bo Huang:
An effective subpart retrieval approach of 3D CAD models for manufacturing process reuse. Comput. Ind. 67: 38-53 (2015) - [j1]Bo Huang, Changhong Xu, Rui Huang, Shusheng Zhang:
An automatic 3D CAD model errors detection method of aircraft structural part for NC machining. J. Comput. Des. Eng. 2(4): 253-260 (2015)
Coauthor Index
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