Rong Qu

Orcid: 0000-0001-8318-7509

According to our database1, Rong Qu authored at least 158 papers between 2000 and 2024.

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Bibliography

2024
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Self-Bidirectional Decoupled Distillation for Time Series Classification.
IEEE Trans. Artif. Intell., August, 2024

Densely Knowledge-Aware Network for Multivariate Time Series Classification.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Automated design of local search algorithms: Predicting algorithmic components with LSTM.
Expert Syst. Appl., March, 2024

Deep Contrastive Representation Learning With Self-Distillation.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem.
Expert Syst. Appl., 2024

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning.
Eur. J. Oper. Res., 2024

ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation.
CoRR, 2024

Advancing container port traffic simulation: A data-driven machine learning approach in sparse data environments.
Appl. Soft Comput., 2024

Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Automated design of search algorithms based on reinforcement learning.
Inf. Sci., November, 2023

Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching.
IEEE Trans. Evol. Comput., October, 2023

Automated algorithm design using proximal policy optimisation with identified features.
Expert Syst. Appl., April, 2023

A Collaborative Learning Tracking Network for Remote Sensing Videos.
IEEE Trans. Cybern., March, 2023

A Pareto Front grid guided multi-objective evolutionary algorithm.
Appl. Soft Comput., March, 2023

Models of Representation in Computational Intelligence [Guest Editorial].
IEEE Comput. Intell. Mag., February, 2023

Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework.
IEEE Trans. Evol. Comput., 2023

Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning.
IEEE Trans. Evol. Comput., 2023

Scope-based Compiler Differential Testing.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Sequential Rule Mining for Automated Design of Meta-heuristics.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

2022
An integrated container terminal scheduling problem with different-berth sizes via multiobjective hydrologic cycle optimization.
Int. J. Intell. Syst., December, 2022

An Efficient Federated Distillation Learning System for Multitask Time Series Classification.
IEEE Trans. Instrum. Meas., 2022

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm.
Symmetry, 2022

An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing.
Swarm Evol. Comput., 2022

Case-based reasoning system for fault diagnosis of aero-engines.
Expert Syst. Appl., 2022

A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties.
Eur. J. Oper. Res., 2022

An Efficient Federated Distillation Learning System for Multi-task Time Series Classification.
CoRR, 2022

An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
A General Model for Automated Algorithm Design.
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021

Recent Developments of Automated Machine Learning and Search Techniques.
Proceedings of the Automated Design of Machine Learning and Search Algorithms, 2021

A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic.
IEEE Trans. Evol. Comput., 2021

Guest Editorial: Automated Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Assessing hyper-heuristic performance.
J. Oper. Res. Soc., 2021

Automated design of search algorithms: Learning on algorithmic components.
Expert Syst. Appl., 2021

A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem.
Eur. J. Oper. Res., 2021

RNTS: Robust Neural Temporal Search for Time Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices.
Soft Comput., 2020

Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification.
Remote. Sens., 2020

A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes.
RAIRO Oper. Res., 2020

A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing.
IEEE Internet Things J., 2020

The General Combinatorial Optimization Problem: Towards Automated Algorithm Design.
IEEE Comput. Intell. Mag., 2020

GTFuzz: Guard Token Directed Grey-Box Fuzzing.
Proceedings of the 25th IEEE Pacific Rim International Symposium on Dependable Computing, 2020

A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks.
Soft Comput., 2019

Semantic similarity measures for formal concept analysis using linked data and WordNet.
Multim. Tools Appl., 2019

Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images.
Appl. Soft Comput., 2019

A Survey of Deep Learning-Based Object Detection.
IEEE Access, 2019

Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning.
Proceedings of the Artificial Intelligence XXXVI, 2019

Modelling The Home Health Care Nurse Scheduling Problem For Patients With Long-Term Conditions In The UK.
Proceedings of the 33rd International ECMS Conference on Modelling and Simulation, 2019

2018
Hyper-Heuristics: Theory and Applications
Natural Computing Series, Springer, ISBN: 978-3-319-96513-0, 2018

Computing semantic similarity based on novel models of semantic representation using Wikipedia.
Inf. Process. Manag., 2018

Automated Design of Machine Learning and Search Algorithms [Guest Editorial].
IEEE Comput. Intell. Mag., 2018

Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization.
Appl. Soft Comput., 2018

A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows.
Appl. Intell., 2018

Course Recommendation Model in Academic Social Networks Based on Association Rules and Multi -similarity.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Iteration-Related Various Learning Particle Swarm Optimization for Quay Crane Scheduling Problem.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

Modified Mixed-Dimension Chaotic Particle Swarm Optimization for Liner Route Planning with Empty Container Repositioning.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

2017
Mean-VaR portfolio optimization: A nonparametric approach.
Eur. J. Oper. Res., 2017

An improved MOEA/D algorithm for multi-objective multicast routing with network coding.
Appl. Soft Comput., 2017

A hybrid EDA for load balancing in multicast with network coding.
Appl. Soft Comput., 2017

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization.
IEEE Trans. Evol. Comput., 2016

Fusion of Panchromatic and Multispectral Images via Coupled Sparse Non-Negative Matrix Factorization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Good Laboratory Practice for optimization research.
J. Oper. Res. Soc., 2016

Workforce scheduling and routing problems: literature survey and computational study.
Ann. Oper. Res., 2016

A dynamic truck dispatching problem in marine container terminal.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding.
Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016

Constrained Portfolio Optimisation: The State-of-the-Art Markowitz Models.
Proceedings of 5th the International Conference on Operations Research and Enterprise Systems (ICORES 2016), 2016

An Investigation on Compound Neighborhoods for VRPTW.
Proceedings of the Operations Research and Enterprise Systems, 2016

A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW.
Proceedings of 5th the International Conference on Operations Research and Enterprise Systems (ICORES 2016), 2016

Towards an Efficient API for Optimisation Problems Data.
Proceedings of the ICEIS 2016, 2016

A PBIL for Load Balancing in Network Coding Based Multicasting.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

Hybridising Local Search With Branch-And-Bound For Constrained Portfolio Selection Problems.
Proceedings of the 30th European Conference on Modelling and Simulation, 2016

2015
Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems.
IEEE Trans. Evol. Comput., 2015

A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems.
IEEE Trans. Cybern., 2015

An Improved MOEA/D for QoS Oriented Multimedia Multicasting with Network Coding.
EAI Endorsed Trans. Security Safety, 2015

Search with evolutionary ruin and stochastic rebuild: A theoretic framework and a case study on exam timetabling.
Eur. J. Oper. Res., 2015

Supply chain coordination with dual procurement sources via real-option contract.
Comput. Ind. Eng., 2015

Sparse Double-Geometric Nonlocal Mean image recovery via steerable kernel.
Appl. Soft Comput., 2015

Hybridising heuristics within an estimation distribution algorithm for examination timetabling.
Appl. Intell., 2015

A Greedy Heuristic for Workforce Scheduling and Routing With Time-dependent Activities Constraints.
Proceedings of the ICORES 2015, 2015

A Compromise Based Fuzzy Goal Programming Approach With Satisfaction Function For Multi-Objective Portfolio Optimisation.
Proceedings of the 29th European Conference on Modelling and Simulation, 2015

A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
A path-oriented encoding evolutionary algorithm for network coding resource minimization.
J. Oper. Res. Soc., 2014

A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems.
Inf. Sci., 2014

A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization.
Appl. Soft Comput., 2014

On minimizing coding operations in network coding based multicast: an evolutionary algorithm.
Appl. Intell., 2014

Adaptive selection of heuristics for improving exam timetables.
Ann. Oper. Res., 2014

Network flow models for intraday personnel scheduling problems.
Ann. Oper. Res., 2014

Vehicle Routing in a Forestry Commissioning Operation Using Ant Colony Optimisation.
Proceedings of the Theory and Practice of Natural Computing, 2014

A Population-Based Incremental Learning Method for Constrained Portfolio Optimisation.
Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

Computational Study for Workforce Scheduling and Routing Problems.
Proceedings of the ICORES 2014, 2014

New Solution for a Benchmark Nurse Scheduling Problem Using Integer Programming.
Proceedings of the 2014 International Conference on IT Convergence and Security, 2014

Simulation Of Scheduling And Cost Effectiveness Of Nurses Using Domain Transformation Method.
Proceedings of the 28th European Conference on Modelling and Simulation, 2014

2013
Grammatical Evolution Hyper-Heuristic for Combinatorial Optimization Problems.
IEEE Trans. Evol. Comput., 2013

Hyper-heuristics: a survey of the state of the art.
J. Oper. Res. Soc., 2013

A nondominated sorting genetic algorithm for bi-objective network coding based multicast routing problems.
Inf. Sci., 2013

A harmony search algorithm for nurse rostering problems.
Inf. Sci., 2013

A Time Predefined Variable Depth Search for Nurse Rostering.
INFORMS J. Comput., 2013

Particle swarm optimization for the Steiner tree in graph and delay-constrained multicast routing problems.
J. Heuristics, 2013

Adaptive selection of heuristics for assigning time slots and rooms in exam timetables.
Appl. Intell., 2013

A hybrid algorithm for constrained portfolio selection problems.
Appl. Intell., 2013

A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems.
Ann. Oper. Res., 2013

Domain transformation approach to deterministic optimization of examination timetables.
Artif. Intell. Res., 2013

Multi-objective Scatter Search with External Archive for Portfolio Optimization.
Proceedings of the IJCCI 2013, 2013

Hill Climbing versus Genetic Algorithm Optimization in Solving the Examination Timetabling Problem.
Proceedings of the ICORES 2013, 2013

Analysis Of Backtracking In University Examination Scheduling.
Proceedings of the 27th European Conference on Modelling and Simulation, 2013

A Study Of Cost Effective Scheduling Of Nurses Based On The Domain Transformation Method.
Proceedings of the 27th European Conference on Modelling and Simulation, 2013

A task based approach for a real-world commodity routing problem.
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013

2012
Tabu assisted guided local search approaches for freight service network design.
Inf. Sci., 2012

A honey-bee mating optimization algorithm for educational timetabling problems.
Eur. J. Oper. Res., 2012

A constraint programming based column generation approach to nurse rostering problems.
Comput. Oper. Res., 2012

An iterative local search approach based on fitness landscapes analysis for the delay-constrained multicast routing problem.
Comput. Commun., 2012

A hybrid scatter search meta-heuristic for delay-constrained multicast routing problems.
Appl. Intell., 2012

A compact genetic algorithm for the network coding based resource minimization problem.
Appl. Intell., 2012

A graph coloring constructive hyper-heuristic for examination timetabling problems.
Appl. Intell., 2012

A pattern recognition based intelligent search method and two assignment problem case studies.
Appl. Intell., 2012

A new model for automated examination timetabling.
Ann. Oper. Res., 2012

Linear combinations of heuristics for examination timetabling.
Ann. Oper. Res., 2012

A Pareto-based search methodology for multi-objective nurse scheduling.
Ann. Oper. Res., 2012

Evolutionary Ruin And Stochastic Recreate: A Case Study On The Exam Timetabling Problem.
Proceedings of the 26th European Conference on Modelling and Simulation, 2012

2011
Integrating neural networks and logistic regression to underpin hyper-heuristic search.
Knowl. Based Syst., 2011

Solving multi-objective multicast routing problems by evolutionary multi-objective simulated annealing algorithms with variable neighbourhoods.
J. Oper. Res. Soc., 2011

A Population Based Incremental Learning for Network Coding Resources Minimization.
IEEE Commun. Lett., 2011

Personnel scheduling: Models and complexity.
Eur. J. Oper. Res., 2011

An Adaptive Tie Breaking and Hybridisation Hyper-Heuristic for Exam Timetabling Problems.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2011

A Population Based Incremental Learning for Delay Constrained Network Coding Resource Minimization.
Proceedings of the Applications of Evolutionary Computation, 2011

2010
A scatter search methodology for the nurse rostering problem.
J. Oper. Res. Soc., 2010

Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition.
INFORMS J. Comput., 2010

A shift sequence based approach for nurse scheduling and a new benchmark dataset.
J. Heuristics, 2010

A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems.
Eur. J. Oper. Res., 2010

Hybrid variable neighbourhood approaches to university exam timetabling.
Eur. J. Oper. Res., 2010

2009
Editorial for AI planning and scheduling.
J. Sched., 2009

A survey of search methodologies and automated system development for examination timetabling.
J. Sched., 2009

Hybridizations within a graph-based hyper-heuristic framework for university timetabling problems.
J. Oper. Res. Soc., 2009

Adaptive automated construction of hybrid heuristics for exam timetabling and graph colouring problems.
Eur. J. Oper. Res., 2009

A Constraint-directed Local Search Approach to Nurse Rostering Problems
Proceedings of the Proceedings 6th International Workshop on Local Search Techniques in Constraint Satisfaction, 2009

A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Analyzing the landscape of a graph based hyper-heuristic for timetabling problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Granular Modelling Of Exam To Slot Allocation.
Proceedings of the European Conference on Modelling and Simulation, 2009

Hierarchical Method For Nurse Rostering Based On Granular Pre-Processing Of Constraints.
Proceedings of the European Conference on Modelling and Simulation, 2009

Roulette Wheel Graph Colouring for Solving Examination Timetabling Problems.
Proceedings of the Combinatorial Optimization and Applications, 2009

2008
A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem.
Eur. J. Oper. Res., 2008

A Hybrid Constraint Programming Approach for Nurse Rostering Problems.
Proceedings of the Applications and Innovations in Intelligent Systems XVI, 2008

2007
A graph-based hyper-heuristic for educational timetabling problems.
Eur. J. Oper. Res., 2007

Solving a Practical Examination Timetabling Problem: A Case Study.
Proceedings of the Computational Science and Its Applications, 2007

Investigating a Hybrid Metaheuristic for Job Shop Rescheduling.
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006
Case-based heuristic selection for timetabling problems.
J. Sched., 2006

Multiple-retrieval case-based reasoning for course timetabling problems.
J. Oper. Res. Soc., 2006

2002
DB2 and Web services.
IBM Syst. J., 2002

Knowledge Discovery in a Hyper-heuristic for Course Timetabling Using Case-Based Reasoning.
Proceedings of the Practice and Theory of Automated Timetabling IV, 2002

2001
Case-Based Reasoning in Course Timetabling: An Attribute Graph Approach.
Proceedings of the Case-Based Reasoning Research and Development, 2001

2000
Structured cases in case-based reasoning - re-using and adapting cases for time-tabling problems.
Knowl. Based Syst., 2000


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