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Miao Wang 0008
Person information
- affiliation: Shanghai Jiao Tong University, School of Aeronautics and Astronautics, China
- affiliation: Science and Technology on Avionics Integration Laboratory, China National Aeronautical Radio Electronics Research Institute, Shanghai, China
Other persons with the same name
- Miao Wang — disambiguation page
- Miao Wang 0001 — FU Berlin, Institute of Computer Science
- Miao Wang 0002 — University College Dublin, Ireland
- Miao Wang 0003 — Miami University, Ohio, Oxford, USA (and 1 more)
- Miao Wang 0004 — State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China (and 1 more)
- Miao Wang 0005 — Huazhong University of Science and Technology, School of Automation, Wuhan, China (and 2 more)
- Miao Wang 0006 — University of Nebraska-Lincoln, Department of Computer Science and Engineering, NE, USA
- Miao Wang 0007 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Miao Wang 0009 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
- Miao Wang 0010 — University of Kent, Canterbury, UK
- Miao Wang 0011 — CMCC, China Mobile Research Institute, Beijing, China (and 2 more)
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2020 – today
- 2024
- [j7]Min Li, Miao Wang, Guoqing Wang, Yong Chen, Kelin Zhong:
Predictive Mental Workload Modeling Methodology for Single-Pilot Operations System Design. J. Aerosp. Inf. Syst. 21(3): 249-262 (2024) - [j6]Miao Wang, Kai Huang, Yue Luo, Guoqing Wang, Yong Chen, Kelin Zhong:
Dicluster: Differential Arrangements of Event Intervals Biclustering for Task Collaboration Safety Analysis. J. Aerosp. Inf. Syst. 21(11): 939-950 (2024) - 2022
- [j5]Zhao Pei, Zhiyang Wan, Yanning Zhang, Miao Wang, Chengcai Leng, Yee-Hong Yang:
Multi-scale attention-based pseudo-3D convolution neural network for Alzheimer's disease diagnosis using structural MRI. Pattern Recognit. 131: 108825 (2022)
2010 – 2019
- 2019
- [j4]Tao Yang, Dongdong Li, Yi Bai, Fangbing Zhang, Sen Li, Miao Wang, Zhuoyue Zhang, Jing Li:
Multiple-Object-Tracking Algorithm Based on Dense Trajectory Voting in Aerial Videos. Remote. Sens. 11(19): 2278 (2019) - [c9]Haiyong Dong, Zhengjun Zhai, Yanhong Lu, Qingfan Gu, Guoqing Wang, Miao Wang:
Availability assessment of avionics display system based on fuzzy fault dependent matrix. AIPR 2019: 181-185 - [c8]Haiyong Dong, Zhengjun Zhai, Yanhong Lu, Qingfan Gu, Guoqing Wang, Miao Wang:
Availability Analysis of Electronic Flight Instrument System Based on Dynamic Fault Dependent Matrix. ICCT 2019: 1438-1442 - [c7]Haiyong Dong, Zhengjun Zhai, Qingfan Gu, Yanhong Lu, Guoqing Wang, Miao Wang:
A Novel Probability Evaluation Method Based on Fuzzy Fault Dependent Matrix. ICNC-FSKD 2019: 809-817 - 2018
- [c6]Xiaofei Liu, Tao Yang, Jing Li, Miao Wang, Yanning Zhang:
Rapid Ground Car Detection on Aerial Infrared Images. ICIGP 2018: 33-37 - 2017
- [c5]Lihua Zhang, Miao Wang, Hangyu Guo, Tao Yang:
Multi-platform fire control strike track planning method based on deep enhance learning. ICIS 2017: 747-750 - [c4]Miao Wang, Zheng Dai, Hangyu Guo, Tao Yang:
Research on big data management and analysis method of multi-platform avionics system. ICIS 2017: 757-761 - 2014
- [j3]Lihua Zhang, Miao Wang, Zhengjun Zhai, Guoqing Wang:
Mining Frequent Closed Patterns using Sample-growth in Resource Effectiveness Data. J. Comput. 9(5): 1150-1158 (2014) - [j2]Lihua Zhang, Miao Wang, Zhengjun Zhai, Guoqing Wang:
Efficient Mining Maximal Variant Usage and Low Usage Biclusters in Discrete Function-Resource Matrix. J. Comput. 9(5): 1159-1167 (2014) - [j1]Lihua Zhang, Miao Wang, Zhengjun Zhai, Guoqing Wang:
Mining Closed Strong Association Rules by Rule-growth in Resource Effectiveness Matrix. J. Softw. 9(9): 2417-2426 (2014) - 2013
- [c3]Lihua Zhang, Miao Wang, Zhengjun Zhai, Guoqing Wang:
Efficient Mining Maximal Variant and Low Usage Rate Biclusters without Candidate Maintenance in Real Function-Resource Matrix: The DeCluster Algorithm. ADMA (2) 2013: 83-94 - [c2]Lihua Zhang, Zhengjun Zhai, Miao Wang, Guoqing Wang:
CSRule: Efficient mining of closed strong association rules in the resource effectiveness matrix. BMEI 2013: 666-671 - [c1]Lihua Zhang, Zhengjun Zhai, Miao Wang, Guoqing Wang:
DoCluster: Efficient mining maximal biclusters without candidate maintenance in the function-resource matrix. BMEI 2013: 677-682
Coauthor Index
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