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2020 – today
- 2023
[j1]Yueqiao Fan, Xun Gong
, Yuning He:
DSF-net: occluded person re-identification based on dual structure features. Neural Comput. Appl. 35(4): 3537-3550 (2023)- 2020
- [c9]Yuning He, Johann Schumann:
A framework for the analysis of adaptive systems using bayesian statistics. SEAMS@ICSE 2020: 64-70 - [c8]Yuning He, Johann Schumann:
A Framework for Software Health Management using Bayesian Statistics: Position Paper. ICSE (Workshops) 2020: 719-722 - [c7]Yuning He, Johann Schumann:
A Framework for the Analysis of Deep Neural Networks in Aerospace applications using Bayesian Statistics. IJCNN 2020: 1-9 - [c6]Yuning He, Johann Schumann:
A Framework for the Analysis of Deep Neural Networks in Autonomous Aerospace Applications using Bayesian Statistics. SP (Workshops) 2020: 234-239
2010 – 2019
- 2018
- [c5]Yuning He, Dimitra Giannakopoulou, Johann Schumann:
Statistical Prediction of Failures in Aircraft Collision Avoidance Systems. Models, Mindsets, Meta 2018: 249-267 - 2015
- [c4]Yuning He:
Online detection and modeling of safety boundaries for aerospace applications using active learning and Bayesian statistics. IJCNN 2015: 1-8 - 2012
- [c3]Yuning He, Herbert K. H. Lee, Misty D. Davies:
Towards Validation of an Adaptive Flight Control Simulation Using Statistical Emulation. Infotech@Aerospace 2012
2000 – 2009
- 2006
- [c2]Yuning He, Yongbing Zhang, Yusheng Ji, Xuemin Shen:
A new energy efficient approach by separating data collection and data report in wireless sensor networks. IWCMC 2006: 1165-1170 - 2003
- [c1]Jianmei Yang, Yuning He:
A synthesis and innovation to methodologies of enterprise strategy research - its conceptual frameworks and theoretical hypotheses. SMC 2003: 3893-3898
Coauthor Index
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