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ORCIDJun Yang 0027
Person information
- affiliation: South China University of Technology, School of Electric Power, Guangzhou, China
- affiliation (PhD 2017): Harbin Engineering University, China
- affiliation (2014 - 2016): Ohio State University, Department of Mechanical and Aerospace Engineering, Columbus, OH, USA
Other persons with the same name
- Jun Yang — disambiguation page
- Jun Yang 0001
![[0000-0003-0604-6790]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0604-6790")
— Duke University, Durham, NC, USA - Jun Yang 0002 — University of Pittsburgh, Department of Electrical and Computer Engineering, PA, USA
- Jun Yang 0003 — Carnegie Mellon University
- Jun Yang 0004 — Chinese Academy of Sciences, Institute of Acoustics, Key Laboratory of Noise and Vibration Research, Beijing, China (and 2 more)
- Jun Yang 0005 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China (and 1 more)
- Jun Yang 0006 — Southeast University, National ASIC system Engineering Research Center, Nanjing, China
- Jun Yang 0007 — Nagoya University
- Jun Yang 0008 — Northeastern University, Shenyang
- Jun Yang 0009 — Xi'an Jiaotong University, Xi'an, China
- Jun Yang 0010 — University of Toronto, Department of Statistical Sciences, ON, Canada (and 1 more)
- Jun Yang 0011 — Southeast University, School of Automation, Key Laboratory of Measurement and Control of CSE, Nanjing, China
- Jun Yang 0012 — Liaoning Normal University, China
- Jun Yang 0013 — Civil Aviation Flight University of China, Guanghan, China
- Jun Yang 0014 — Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
- Jun Yang 0015 — Wuhan University of Science and Technology, School of Information Science and Engineering, China
- Jun Yang 0016 — Tsinghua University, Center for Earth System Science, Beijing, China (and 3 more)
- Jun Yang 0017 — Huazhong University of Science and Technology, School of Automation, Wuhan, China (and 1 more)
- Jun Yang 0018 — Beihang University, School of Reliability and Systems Engineering, Beijing, China (and 1 more)
- Jun Yang 0019 — Wuhan University, School of Electrical Engineering, China (and 1 more)
- Jun Yang 0020 — University of Hanover, Germany
- Jun Yang 0021 — China State Shipbuilding Corporation, Beijing, China
- Jun Yang 0022 — A-STAR, Data Stoarge Institute, Singapore (and 1 more)
- Jun Yang 0023 — University of Electronic Science and Technology of China, Shenzhen Institute for Advanced Study, China (and 2 more)
- Jun Yang 0024 — Guangdong University of Technology, School of Information Engineering, China (and 1 more)
- Jun Yang 0025 — Sichuan Normal University, College of Computer Science / Visual Computing and Virtual Reality Key Laboratory of Sichuan Province, Chengdu, China
- Jun Yang 0026 — National University of Defense Technology, College of Artificial Intelligence, Changsha, China
- Jun Yang 0028 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Jun Yang 0029 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Jun Yang 0030 — Yunnan University, School of Information Science and Engineering, Kunming, China
- Jun Yang 0031 — South China University of Technology, School of Mechanical and Automotive Engineering, Guangzhou, China
- Jun Yang 0032 — Nankai University, College of Computer and Control Engineering, Tianjin, China
- Jun Yang 0033 — University of New South Wales, AustraliaNational ICT Australia, Sydney, NSW, Australia
- Jun Yang 0034 — Xi'an University of Science and Technology, School of Geodesy and Geomatics, China (and 1 more)
- Jun Yang 0035 — Beijing University of Posts and Telecommunications, School of Computer Science, National Engineering Laboratory for Mobile Network, China
- Jun Yang 0036 — Guangzhou University, China (and 3 more)
- Jun Yang 0037 — Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, China
- Jun Yang 0038 — Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, China
- Jun Yang 0039 — Civil Aviation University of China, Tianjin Key Laboratory for Advanced Signal Processing, China
- Jun Yang 0040 — China University of Mining and Technology, School of Environment Science and Spatial Informatics, Xuzhou, China
- Jun Yang 0041 — Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China
- Jun Yang 0042 — Jinan University, Institute for Environmental and Climate Research, Guangzhou, China
- Jun Yang 0043 — Chinese Academy of Sciences, Shanghai Chenshan Plant Science Research Center, China
- Jun Yang 0044 — China Mobile Communications Group Gansu Co., Ltd., Network Management Center, Lanzhou, China
- Jun Yang 0045 — Acadia University, School of Business Administration, Wolfville, NS, Canada
- Jun Yang 0046 — Xianyang Normal University, School of Mathematics and Information Science, China
- Jun Yang 0047 — Hefei University of Technology, Academy of Opto-electric Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, China
- Jun Yang 0048 — State Grid Qinghai Electric Power Company, Electric Power Research Institute, Xining, China
- Jun Yang 0049 — China University of Mining and Technology, Big Data and Internet of Things Research Center, Beijing, China (and 1 more)
- Jun Yang 0050 — Shandong University, School of Control Science and Engineering, Jinan, China (and 2 more)
- Jun Yang 0051 — Jiaxing University, College of Mathematics Physics and Information Engineering, China (and 1 more)
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2020 – today
- 2023
[j4]Ke Xue, Jun Yang, Ming Yang, Dagui Wang:
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning. IEEE Trans. Instrum. Meas. 72: 1-21 (2023)
2010 – 2019
- 2019
- [j3]Haixia Gu, Gaojun Liu, Jixie Li, Jun Yang:
A Reliability-Based Mapping Scheme for Assessing System Operational Performance With Erroneous Human Behavior at NPPs. IEEE Access 7: 123416-123429 (2019) - 2018
- [j2]Jun Yang, Tunc Aldemir, Carol S. Smidts:
A Deductive Method for Diagnostic Analysis of Digital Instrumentation and Control Systems. IEEE Trans. Reliab. 67(4): 1442-1458 (2018) - 2016
- [j1]Jun Yang, Tunc Aldemir:
An algorithm for the computationally efficient deductive implementation of the Markov/Cell-to-Cell-Mapping Technique for risk significant scenario identification. Reliab. Eng. Syst. Saf. 145: 1-8 (2016)
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last updated on 2024-04-22 20:10 CEST by the dblp team
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