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ORCIDBoyang Li 0014
Person information
- affiliation: Beijing University of Technology, College of Electronic and Control Engineering, China
Other persons with the same name
- Boyang Li (aka: Bo-Yang Li) — disambiguation page
- Boyang Li 0001
![[0000-0002-6230-2376]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6230-2376")
(aka: Boyang "Albert" Li) — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 4 more) - Boyang Li 0002 — LinkedIn, Mountain View, CA, USA (and 3 more)
- Boyang Li 0003 — University of Notre Dame, Department of Computer Science and Engineering, IN, USA
- Boyang Li 0004 — Harbin Institute of Technology, Department of Electrical Engineering, China
- Boyang Li 0005 — Hong Kong Polytechnic University, Kowloon, Hong Kong (and 2 more)
- Boyang Li 0006 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Boyang Li 0007 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China (and 2 more)
- Boyang Li 0008 — Waseda University, Graduate School of Information, Production and Systems, Fukuoka, Japan
- Boyang Li 0009 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China
- Boyang Li 0010 — Shanghai University, School of Mechatronics Engineering and Automation, China
- Boyang Li 0011 — Yale University, School of Public Health, New Haven, CT, USA
- Boyang Li 0012 — Aarhus University, Department of Computer Science, Denmark
- Boyang Li 0013 — China University of Petroleum, School of Computer Science and Communication Engineering, Dongying, China
- Boyang Li 0015 — Ulm University, Institute for Energy Conversion and Storage, Germany
- Boyang Li 0016 — Chinese University of Hong Kong, Hong Kong
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Conference and Workshop Papers
- 2016
[c2]Songmin Jia, Boyang Li, Guoliang Zhang, Xiuzhi Li:
Improved KinectFusion based on graph-based optimization and large loop model. ICIA 2016: 813-818- [c1]Songmin Jia, Guoliang Zhang, Boyang Li, Mingchao Ding:
Evaluation method of module granularity partition for intelligent service robot based on D-S evidence theory. ICIA 2016: 870-875
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