User profiles for Rong Qu
Rong QuProfessor, University of Nottingham, UK Verified email at cs.nott.ac.uk Cited by 13102 |
A graph-based hyper-heuristic for educational timetabling problems
This paper presents an investigation of a simple generic hyper-heuristic approach upon a
set of widely used constructive heuristics (graph coloring heuristics) in timetabling. Within the …
set of widely used constructive heuristics (graph coloring heuristics) in timetabling. Within the …
Hyper-heuristics: A survey of the state of the art
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the goal
of automating the design of heuristic methods to solve hard computational search problems…
of automating the design of heuristic methods to solve hard computational search problems…
Setting the research agenda in automated timetabling: The second international timetabling competition
The Second International Timetabling Competition (TTC2007) opened in August 2007.
Building on the success of the first competition in 2002, this sequel aimed to further develop …
Building on the success of the first competition in 2002, this sequel aimed to further develop …
A survey of search methodologies and automated system development for examination timetabling
Examination timetabling is one of the most important administrative activities that takes place
in all academic institutions. In this paper, we present a critical discussion of the research on …
in all academic institutions. In this paper, we present a critical discussion of the research on …
Case-based heuristic selection for timetabling problems
This paper presents a case-based heuristic selection approach for automated university
course and exam timetabling. The method described in this paper is motivated by the goal of …
course and exam timetabling. The method described in this paper is motivated by the goal of …
Workforce scheduling and routing problems: literature survey and computational study
JA Castillo-Salazar, D Landa-Silva, R Qu - Annals of Operations Research, 2016 - Springer
In the context of workforce scheduling, there are many scenarios in which personnel must
carry out tasks at different locations hence requiring some form of transportation. Examples of …
carry out tasks at different locations hence requiring some form of transportation. Examples of …
A survey of deep learning-based object detection
Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people’s life, such as monitoring security, autonomous …
which has been widely applied in people’s life, such as monitoring security, autonomous …
Platelet‐to‐lymphocyte ratio is associated with prognosis in patients with coronavirus disease‐19
R Qu, Y Ling, Y Zhang, L Wei, X Chen… - Journal of medical …, 2020 - Wiley Online Library
Since December 2019, novel coronavirus infected pneumonia emerged in Wuhan city and
rapidly spread throughout China. In severe novel coronavirus pneumonia cases, the number …
rapidly spread throughout China. In severe novel coronavirus pneumonia cases, the number …
Tissue expression and immunolocalization of tumor necrosis factor-α in postinfarction dysfunctional myocardium
MW Irwin, S Mak, DL Mann, R Qu, JM Penninger… - Circulation, 1999 - Am Heart Assoc
Background—Tumor necrosis factor-α (TNF-α) is markedly elevated in advanced heart
failure. It is not known whether tissue TNF-α is elevated in the common setting of myocardial …
failure. It is not known whether tissue TNF-α is elevated in the common setting of myocardial …
An efficient federated distillation learning system for multitask time series classification
This article proposes an efficient federated distillation learning system (EFDLS) for multitask
time series classification (TSC). EFDLS consists of a central server and multiple mobile users…
time series classification (TSC). EFDLS consists of a central server and multiple mobile users…