R
Rong Qu
Researcher at University of Nottingham
Publications - 294
Citations - 8834
Rong Qu is an academic researcher from University of Nottingham. The author has contributed to research in topics: Contextual image classification & Heuristics. The author has an hindex of 43, co-authored 282 publications receiving 7277 citations. Previous affiliations of Rong Qu include Queen's University Belfast & Information Technology University.
Papers
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Journal ArticleDOI
Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles
Qiyi He,Xiaolin Meng,Rong Qu +2 more
TL;DR: It is found that remote control, fake vision on cameras, hidden objects to LiDAR and Radar, spoofing attack to GNSS, and fake identity in cloud authority are the most dangerous and of the highest vulnerabilities in CAV cyber security.
Proceedings ArticleDOI
Granular modelling of exam to slot allocation
TL;DR: This paper is introducing a new method of granular exam-to-slot allocation based on the preprocessing of the basic student-exam information into a more abstract entity of conflict chains, designed to capture the mutual dependencies between exams.
Journal ArticleDOI
A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices
TL;DR: The results demonstrate that the proposed stochastic portfolio optimization model is capable of solving complex portfolio optimization problems with tremendous scenarios while maintaining high solution quality in a reasonable amount of time and it has outstanding practical investment implications, such as effective portfolio constructions.
Journal ArticleDOI
A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties
TL;DR: In this article, a deep reinforcement learning based hyper-heuristic framework is proposed to address the research gap, which enhances the existing hyperheuristics with a powerful data-driven heuristic selection module in the form of deep RL on parameter-controlled low-level heuristics.
Patent
CNN and selective attention mechanism based SAR image target detection method
Jiao Licheng,Rong Qu,Wen Maoning,Ma Wenping,Yang Shuyuan,Hou Biao,Liu Fang,Shang Ronghua,Zhang Xiangrong,Zhang Dan,Tang Xu,Ma Jingjing +11 more
TL;DR: In this article, a CNN and selective attention based SAR image target detection method is proposed, which combines the CNN and the selective attention mechanism in a combined way to improve the efficiency and accuracy of target detection.