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ORCIDYi Huang 0031
Person information
- affiliation: University of Southern Queensland, School of Engineering, Toowoomba, QLD, Australia
Other persons with the same name
- Yi Huang — disambiguation page
- Yi Huang 0001
![[0000-0001-7774-1024]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7774-1024")
— University of Liverpool, Department of Electrical Engineering and Electronics, UK (and 1 more) - Yi Huang 0002 — Siemens AG, Corporate Technology, Munich, Germany (and 1 more)
- Yi Huang 0003 — McGill University, Department of Atmospheric and Oceanic Science, Montreal, QC, Canada (and 2 more)
- Yi Huang 0004 — Rutgers University, Department of Electrical and Computer Engineering, Piscataway, NJ, USA
- Yi Huang 0005 — Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA (and 1 more)
- Yi Huang 0006 — Qualcomm R&D, San Diego, CA, USA (and 1 more)
- Yi Huang 0007 — Central South University, School of Information Science and Engineering, Changsha, China
- Yi Huang 0008 — Huazhong University of Science and Technology, School of Automation, Wuhan, China
- Yi Huang 0009 — Beijing Institute of Technology, State Key Laboratory of Autonomous Intelligent Unmanned Systems, School of Automation, China (and 2 more)
- Yi Huang 0010 — Chinese Academy of Sciences, Institue of Computing Technology, Beijing, China
- Yi Huang 0011 — Chongqing University of Posts and Telecommunications, College of Electronics Engineering, Chongqing, China
- Yi Huang 0012 — Technical University of Berlin, Germany
- Yi Huang 0013 — Nanyang Technological University, Singapore
- Yi Huang 0014 — Nanyang Technological University, Singapore
- Yi Huang 0015 — Chongqing University of Arts and Sciences, School of Intelligent Manufacturing Engineering, China (and 1 more)
- Yi Huang 0016 — Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Yi Huang 0017 — China Mobile Research Institute, Beijing, China
- Yi Huang 0018 — Fudan University, Biomedical Engineering Center, School of Information Science and Technology, Shanghai, China
- Yi Huang 0019 — Brookhaven National Laboratory, Upton, NY, USA
- Yi Huang 0020 — Fudan University, School of Computer Science, Shanghai, China
- Yi Huang 0021 — Hubei University, Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Wuhan, China
- Yi Huang 0022 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- Yi Huang 0023 — University of Technology Sydney, NSW, Australia
- Yi Huang 0024 — Lingnan University, Department of Psychology, Tuen Mun, Hong Kong (and 2 more)
- Yi Huang 0025 — Southwest University of Science and Technology, School of Information Engineering, Mianyang, China
- Yi Huang 0026 — Chongqing University of Arts and Sciences, School of Artificial Intelligence, China (and 1 more)
- Yi Huang 0027 — Wuhan University, School of Electrical Engineering and Automation, China
- Yi Huang 0028 — Shihezi University, College of Mechanical and Electrical Engineering, China
- Yi Huang 0029 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Yi Huang 0030 — Fuzhou University, School of Mechanical Engineering and Automation, China
- Yi Huang 0032 — Nanjing University of Posts and Telecommunications, School of Internet of Things, China
- Yi Huang 0033 — Huawei Technologies Company Ltd., Shenzhen, China (and 1 more)
- Yi Huang 0034 — Hangzhou Dianzi University, School of Electronics and Information, China
- Yi Huang 0035 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- Yi Huang 0036 — Tsinghua University, School of Integrated Circuits, BNRist, Beijing, China
- Yi Huang 0037 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Beijing, China (and 1 more)
- Yi Huang 0038 — Tsinghua University, School of Vehicle and Mobility, Beijing, China
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- 2022
[j1]Yi Huang, Peng Wen, Bo Song, Yan Li:
Real-Time Depth of Anaesthesia Assessment Based on Hybrid Statistical Features of EEG. Sensors 22(16): 6099 (2022)
2010 – 2019
Coauthor Index
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