Structured cases in case-based reasoning - re-using and adapting cases for time-tabling problems. - Edmund K. Burke; Bart L. MacCarthy; Sanja Petrovic; Rong Qu (Knowl. Based Syst., 2000)

Case-Based Reasoning in Course Timetabling: An Attribute Graph Approach. - Edmund K. Burke; Bart L. MacCarthy; Sanja Petrovic; Rong Qu (ICCBR, 2001)

Knowledge Discovery in a Hyper-heuristic for Course Timetabling Using Case-Based Reasoning. - Edmund K. Burke; Bart L. MacCarthy; Sanja Petrovic; Rong Qu (PATAT, 2002)

DB2 and Web services. - Susan Malaika; Constance J. Nelin; Rong Qu; Berthold Reinwald; Daniel C. Wolfson (IBM Syst. J., 2002)

Multiple-retrieval case-based reasoning for course timetabling problems. - Edmund K. Burke; Bart L. MacCarthy; Sanja Petrovic; Rong Qu (J. Oper. Res. Soc., 2006)

Case-based heuristic selection for timetabling problems. - Edmund K. Burke; Sanja Petrovic; Rong Qu (J. Sched., 2006)

Investigating a Hybrid Metaheuristic for Job Shop Rescheduling. - Salwani Abdullah; Uwe Aickelin; Edmund K. Burke; Aniza Mohamed Din; Rong Qu (ACAL, 2007)

Solving a Practical Examination Timetabling Problem: A Case Study. - Masri Ayob; Ariff Md. Ab. Malik; Salwani Abdullah; Abdul Razak Hamdan; Graham Kendall; Rong Qu (ICCSA (3), 2007)

A graph-based hyper-heuristic for educational timetabling problems. - Edmund K. Burke; Barry McCollum; Amnon Meisels; Sanja Petrovic; Rong Qu (Eur. J. Oper. Res., 2007)

A Hybrid Constraint Programming Approach for Nurse Rostering Problems. - Rong Qu; Fang He (SGAI Conf. (Applications), 2008)

A hybrid heuristic ordering and variable neighbourhood search for the nurse rostering problem. - Edmund K. Burke; Timothy Curtois; Gerhard F. Post; Rong Qu; Bart Veltman (Eur. J. Oper. Res., 2008)

Roulette Wheel Graph Colouring for Solving Examination Timetabling Problems. - Nasser R. Sabar; Masri Ayob; Graham Kendall; Rong Qu (COCOA, 2009)

Hierarchical Method For Nurse Rostering Based On Granular Pre-Processing Of Constraints. - Geetha Baskaran; Andrzej Bargiela; Rong Qu (ECMS, 2009)

Granular Modelling Of Exam To Slot Allocation. - Siti Khatijah Nor Abdul Rahim; Andrzej Bargiela; Rong Qu (ECMS, 2009)

Analyzing the landscape of a graph based hyper-heuristic for timetabling problems. - Gabriela Ochoa; Rong Qu; Edmund K. Burke (GECCO, 2009)

A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing. - Rong Qu; Ying Xu; Graham Kendall (LION, 2009)

A Constraint-directed Local Search Approach to Nurse Rostering Problems - Fang He; Rong Qu (LSCS, 2009)

Adaptive automated construction of hybrid heuristics for exam timetabling and graph colouring problems. - Rong Qu; Edmund K. Burke; Barry McCollum (Eur. J. Oper. Res., 2009)

Hybridizations within a graph-based hyper-heuristic framework for university timetabling problems. - Rong Qu; Edmund K. Burke (J. Oper. Res. Soc., 2009)

A survey of search methodologies and automated system development for examination timetabling. - Rong Qu; Edmund K. Burke; Barry McCollum; Liam T. G. Merlot; S. Y. Lee (J. Sched., 2009)

Editorial for AI planning and scheduling. - Rong Qu; Maria Fox 001; Derek Long (J. Sched., 2009)

Hybrid variable neighbourhood approaches to university exam timetabling. - Edmund K. Burke; A. J. Eckersley; Barry McCollum; Sanja Petrovic; Rong Qu (Eur. J. Oper. Res., 2010)

A hybrid model of integer programming and variable neighbourhood search for highly-constrained nurse rostering problems. - Edmund K. Burke; Jingpeng Li 001; Rong Qu (Eur. J. Oper. Res., 2010)

A shift sequence based approach for nurse scheduling and a new benchmark dataset. - Peter Brucker; Edmund K. Burke; Timothy Curtois; Rong Qu; Greet Vanden Berghe (J. Heuristics, 2010)

Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition. - Barry McCollum; Andrea Schaerf; Ben Paechter; Paul McMullan; Rhydian Lewis; Andrew J. Parkes; Luca Di Gaspero; Rong Qu; Edmund K. Burke (INFORMS J. Comput., 2010)

A scatter search methodology for the nurse rostering problem. - Edmund K. Burke; Timothy Curtois; Rong Qu; Greet Vanden Berghe (J. Oper. Res. Soc., 2010)

A Population Based Incremental Learning for Delay Constrained Network Coding Resource Minimization. - Huanlai Xing; Rong Qu (EvoApplications (2), 2011)

An Adaptive Tie Breaking and Hybridisation Hyper-Heuristic for Exam Timetabling Problems. - Edmund K. Burke; Rong Qu; Amr Soghier (NICSO, 2011)

Personnel scheduling: Models and complexity. - Peter Brucker; Rong Qu; Edmund K. Burke (Eur. J. Oper. Res., 2011)

A Population Based Incremental Learning for Network Coding Resources Minimization. - Huanlai Xing; Rong Qu (IEEE Commun. Lett., 2011)

Solving multi-objective multicast routing problems by evolutionary multi-objective simulated annealing algorithms with variable neighbourhoods. - Ying Xu; Rong Qu (J. Oper. Res. Soc., 2011)

Integrating neural networks and logistic regression to underpin hyper-heuristic search. - Jingpeng Li 001; Edmund K. Burke; Rong Qu (Knowl. Based Syst., 2011)

Evolutionary Ruin And Stochastic Recreate: A Case Study On The Exam Timetabling Problem. - Jingpeng Li 001; Rong Qu; Yindong Shen (ECMS, 2012)

A Pareto-based search methodology for multi-objective nurse scheduling. - Edmund K. Burke; Jingpeng Li 001; Rong Qu (Ann. Oper. Res., 2012)

Linear combinations of heuristics for examination timetabling. - Edmund K. Burke; Nam Pham; Rong Qu; Jay Yellen (Ann. Oper. Res., 2012)

A new model for automated examination timetabling. - Barry McCollum; Paul McMullan; Andrew J. Parkes; Edmund K. Burke; Rong Qu (Ann. Oper. Res., 2012)

A pattern recognition based intelligent search method and two assignment problem case studies. - Jingpeng Li 001; Edmund K. Burke; Rong Qu (Appl. Intell., 2012)

A graph coloring constructive hyper-heuristic for examination timetabling problems. - Nasser R. Sabar; Masri Ayob; Rong Qu; Graham Kendall (Appl. Intell., 2012)

A compact genetic algorithm for the network coding based resource minimization problem. - Huanlai Xing; Rong Qu (Appl. Intell., 2012)

A hybrid scatter search meta-heuristic for delay-constrained multicast routing problems. - Ying Xu; Rong Qu (Appl. Intell., 2012)

An iterative local search approach based on fitness landscapes analysis for the delay-constrained multicast routing problem. - Ying Xu; Rong Qu (Comput. Commun., 2012)

A constraint programming based column generation approach to nurse rostering problems. - Fang He; Rong Qu (Comput. Oper. Res., 2012)

A honey-bee mating optimization algorithm for educational timetabling problems. - Nasser R. Sabar; Masri Ayob; Graham Kendall; Rong Qu (Eur. J. Oper. Res., 2012)

Tabu assisted guided local search approaches for freight service network design. - Ruibin Bai; Graham Kendall; Rong Qu; Jason A. D. Atkin (Inf. Sci., 2012)

A task based approach for a real-world commodity routing problem. - Jianjun Chen; Ruibin Bai; Rong Qu; Graham Kendall (CIPLS, 2013)

A Study Of Cost Effective Scheduling Of Nurses Based On The Domain Transformation Method. - Geetha Baskaran; Andrzej Bargiela; Rong Qu (ECMS, 2013)

Analysis Of Backtracking In University Examination Scheduling. - Siti Khatijah Nor Abdul Rahim; Andrzej Bargiela; Rong Qu (ECMS, 2013)

Hill Climbing versus Genetic Algorithm Optimization in Solving the Examination Timetabling Problem. - Siti Khatijah Nor Abdul Rahim; Andrzej Bargiela; Rong Qu (ICORES, 2013)

Multi-objective Scatter Search with External Archive for Portfolio Optimization. - Khin Lwin; Rong Qu; Jianhua Zheng (IJCCI, 2013)

Domain transformation approach to deterministic optimization of examination timetables. - Siti Khatijah Nor Abdul Rahim; Andrzej Bargiela; Rong Qu (Artif. Intell. Res., 2013)

A simulated annealing based genetic local search algorithm for multi-objective multicast routing problems. - Ying Xu; Rong Qu; Renfa Li (Ann. Oper. Res., 2013)

A hybrid algorithm for constrained portfolio selection problems. - Khin Lwin; Rong Qu (Appl. Intell., 2013)

Adaptive selection of heuristics for assigning time slots and rooms in exam timetables. - Amr Soghier; Rong Qu (Appl. Intell., 2013)

Particle swarm optimization for the Steiner tree in graph and delay-constrained multicast routing problems. - Rong Qu; Ying Xu; Juan P. Castro; Dario Landa-Silva (J. Heuristics, 2013)

A Time Predefined Variable Depth Search for Nurse Rostering. - Edmund K. Burke; Timothy Curtois; Rong Qu; Greet Vanden Berghe (INFORMS J. Comput., 2013)

A harmony search algorithm for nurse rostering problems. - Mohammed Hadwan; Masri Ayob; Nasser R. Sabar; Rong Qu (Inf. Sci., 2013)

A nondominated sorting genetic algorithm for bi-objective network coding based multicast routing problems. - Huanlai Xing; Rong Qu (Inf. Sci., 2013)

Hyper-heuristics: a survey of the state of the art. - Edmund K. Burke; Michel Gendreau; Matthew R. Hyde; Graham Kendall; Gabriela Ochoa; Ender Özcan; Rong Qu (J. Oper. Res. Soc., 2013)

Grammatical Evolution Hyper-Heuristic for Combinatorial Optimization Problems. - Nasser R. Sabar; Masri Ayob; Graham Kendall; Rong Qu (IEEE Trans. Evol. Comput., 2013)

Simulation Of Scheduling And Cost Effectiveness Of Nurses Using Domain Transformation Method. - Geetha Baskaran; Andrzej Bargiela; Rong Qu (ECMS, 2014)

New Solution for a Benchmark Nurse Scheduling Problem Using Integer Programming. - Geetha Baskaran; Andrzej Bargiela; Rong Qu (ICITCS, 2014)

Computational Study for Workforce Scheduling and Routing Problems. - José Arturo Castillo Salazar; Dario Landa-Silva; Rong Qu (ICORES, 2014)

A Population-Based Incremental Learning Method for Constrained Portfolio Optimisation. - Yan Jin 002; Rong Qu; Jason A. D. Atkin (SYNASC, 2014)

Vehicle Routing in a Forestry Commissioning Operation Using Ant Colony Optimisation. - Edward Kent; Jason A. D. Atkin; Rong Qu (TPNC, 2014)

Network flow models for intraday personnel scheduling problems. - Peter Brucker; Rong Qu (Ann. Oper. Res., 2014)

Adaptive selection of heuristics for improving exam timetables. - Edmund K. Burke; Rong Qu; Amr Soghier (Ann. Oper. Res., 2014)

On minimizing coding operations in network coding based multicast: an evolutionary algorithm. - Huanlai Xing; Rong Qu; Lin Bai 005; Yuefeng Ji (Appl. Intell., 2014)

A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization. - Khin Lwin; Rong Qu; Graham Kendall (Appl. Soft Comput., 2014)

A two-stage stochastic mixed-integer program modelling and hybrid solution approach to portfolio selection problems. - Fang He; Rong Qu (Inf. Sci., 2014)

A path-oriented encoding evolutionary algorithm for network coding resource minimization. - Huanlai Xing; Rong Qu; Graham Kendall; Ruibin Bai (J. Oper. Res. Soc., 2014)

A hybrid genetic algorithm for a two-stage stochastic portfolio optimization with uncertain asset prices. - Tianxiang Cui; Ruibin Bai; Andrew J. Parkes; Fang He; Rong Qu; Jingpeng Li 001 (CEC, 2015)

A Compromise Based Fuzzy Goal Programming Approach With Satisfaction Function For Multi-Objective Portfolio Optimisation. - Fang He; Rong Qu; Robert I. John (ECMS, 2015)

A Greedy Heuristic for Workforce Scheduling and Routing With Time-dependent Activities Constraints. - José Arturo Castillo Salazar; Dario Landa-Silva; Rong Qu (ICORES, 2015)

Hybridising heuristics within an estimation distribution algorithm for examination timetabling. - Rong Qu; Nam Pham; Ruibin Bai; Graham Kendall (Appl. Intell., 2015)

Sparse Double-Geometric Nonlocal Mean image recovery via steerable kernel. - Kai Zhang 010; Hong Li 005; Shuyuan Yang 001; Min Wang 007; Zhengkang Liu; Rong Qu; Licheng Jiao (Appl. Soft Comput., 2015)

Supply chain coordination with dual procurement sources via real-option contract. - Meiling Luo; Gang Li 019; C. L. Johnny Wan; Rong Qu; Ping Ji 001 (Comput. Ind. Eng., 2015)

Search with evolutionary ruin and stochastic rebuild: A theoretic framework and a case study on exam timetabling. - Jingpeng Li 001; Ruibin Bai; Yindong Shen; Rong Qu (Eur. J. Oper. Res., 2015)

An Improved MOEA/D for QoS Oriented Multimedia Multicasting with Network Coding. - Zhaoyuan Wang; Huanlai Xing; Tianrui Li 001; Yan Yang 001; Rong Qu (EAI Endorsed Trans. Security Safety, 2015)

A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems. - Nasser R. Sabar; Masri Ayob; Graham Kendall; Rong Qu (IEEE Trans. Cybern., 2015)

Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems. - Nasser R. Sabar; Masri Ayob; Graham Kendall; Rong Qu (IEEE Trans. Evol. Comput., 2015)

Hybridising Local Search With Branch-And-Bound For Constrained Portfolio Selection Problems. - Fang He; Rong Qu (ECMS, 2016)

A PBIL for Load Balancing in Network Coding Based Multicasting. - Huanlai Xing; Ying Xu; Rong Qu; Lexi Xu (ICCSA (2), 2016)

Towards an Efficient API for Optimisation Problems Data. - Rodrigo Lankaites Pinheiro; Dario Landa-Silva; Rong Qu; Edson Yanaga; Ademir Aparecido Constantino (ICEIS (2), 2016)

A Variable Neighbourhood Search Algorithm with Compound Neighbourhoods for VRPTW. - Binhui Chen; Rong Qu; Ruibin Bai; Hisao Ishibuchi (ICORES, 2016)

An Investigation on Compound Neighborhoods for VRPTW. - Binhui Chen; Rong Qu; Ruibin Bai; Hisao Ishibuchi (ICORES (Selected Papers), 2016)

Constrained Portfolio Optimisation: The State-of-the-Art Markowitz Models. - Yan Jin 002; Rong Qu; Jason A. D. Atkin (ICORES, 2016)

A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding. - Huanlai Xing; Lexi Xu; Rong Qu; Zhijian Qu (ISCIT, 2016)

A dynamic truck dispatching problem in marine container terminal. - Jianjun Chen; Ruibin Bai; Haibo Dong; Rong Qu; Graham Kendall (SSCI, 2016)

Workforce scheduling and routing problems: literature survey and computational study. - José Arturo Castillo Salazar; Dario Landa-Silva; Rong Qu (Ann. Oper. Res., 2016)

Good Laboratory Practice for optimization research. - Graham Kendall; Ruibin Bai; Jacek Blazewicz; Patrick De Causmaecker; Michel Gendreau; Robert I. John; Jiawei Li 001; Barry McCollum; Erwin Pesch; Rong Qu; Nasser R. Sabar; Greet Vanden Berghe; et al. (J. Oper. Res. Soc., 2016)

Fusion of Panchromatic and Multispectral Images via Coupled Sparse Non-Negative Matrix Factorization. - Kai Zhang 010; Min Wang 007; Shuyuan Yang 001; Yinghui Xing; Rong Qu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

A Modified Ant Colony Optimization Algorithm for Network Coding Resource Minimization. - Zhaoyuan Wang; Huanlai Xing; Tianrui Li 001; Yan Yang 001; Rong Qu; Yi Pan 001 (IEEE Trans. Evol. Comput., 2016)

Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems. - Caihong Mu; Huiwen Cheng; Wei Feng; Yi Liu 051; Rong Qu (CEC, 2017)

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm. - Caihong Mu; Chengzhou Li; Yi Liu 051; Menghua Sun; Licheng Jiao; Rong Qu (CEC, 2017)

A hybrid EDA for load balancing in multicast with network coding. - Huanlai Xing; Saifei Li; Yunhe Cui; Lianshan Yan; Wei Pan 008; Rong Qu (Appl. Soft Comput., 2017)

An improved MOEA/D algorithm for multi-objective multicast routing with network coding. - Huanlai Xing; Zhaoyuan Wang; Tianrui Li 001; Hui Li 020; Rong Qu (Appl. Soft Comput., 2017)

Mean-VaR portfolio optimization: A nonparametric approach. - Khin Lwin; Rong Qu; Bart L. MacCarthy (Eur. J. Oper. Res., 2017)

Modified Mixed-Dimension Chaotic Particle Swarm Optimization for Liner Route Planning with Empty Container Repositioning. - Mingzhu Yu; Zhichuan Chen; Li Chen; Rong Qu; Ben Niu 002 (BIC-TA (2), 2018)

Iteration-Related Various Learning Particle Swarm Optimization for Quay Crane Scheduling Problem. - Mingzhu Yu; Xuwen Cong; Ben Niu 002; Rong Qu (BIC-TA (2), 2018)

Course Recommendation Model in Academic Social Networks Based on Association Rules and Multi -similarity. - Xiaoxian Huang; Yong Tang 001; Rong Qu; Chunying Li; Chengzhe Yuan; Saimei Sun; Bixia Xu (CSCWD, 2018)

A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows. - Binhui Chen; Rong Qu; Ruibin Bai; Wasakorn Laesanklang (Appl. Intell., 2018)

Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization. - Ying Xu; Ou Ding; Rong Qu; Keqin Li 001 (Appl. Soft Comput., 2018)

Automated Design of Machine Learning and Search Algorithms [Guest Editorial]. - Nelishia Pillay; Rong Qu; Dipti Srinivasan; Barbara Hammer; Kenneth Sörensen (IEEE Comput. Intell. Mag., 2018)

Computing semantic similarity based on novel models of semantic representation using Wikipedia. - Rong Qu; Yongyi Fang; Wen Bai; Yuncheng Jiang (Inf. Process. Manag., 2018)

Hyper-Heuristics: Theory and Applications - Nelishia Pillay; Rong Qu (Springer, 2018)

Modelling The Home Health Care Nurse Scheduling Problem For Patients With Long-Term Conditions In The UK. - Fang He; Thierry J. Chaussalet; Rong Qu (ECMS, 2019)

Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning. - Jérémie Clos; Rong Qu; Jason A. D. Atkin (SGAI Conf., 2019)

A Survey of Deep Learning-Based Object Detection. - Licheng Jiao; Fan Zhang 041; Fang Liu 001; Shuyuan Yang 001; Lingling Li 002; Zhixi Feng; Rong Qu (IEEE Access, 2019)

Accelerated genetic algorithm based on search-space decomposition for change detection in remote sensing images. - Caihong Mu; Chengzhou Li; Yi Liu 051; Rong Qu; Licheng Jiao (Appl. Soft Comput., 2019)

Semantic similarity measures for formal concept analysis using linked data and WordNet. - Yuncheng Jiang; Mingxuan Yang; Rong Qu (Multim. Tools Appl., 2019)

Multi-objective ant colony optimization algorithm based on decomposition for community detection in complex networks. - Caihong Mu; Jian Zhang; Yi Liu 051; Rong Qu; Tianhuan Huang (Soft Comput., 2019)

A Data-Driven Genetic Programming Heuristic for Real-World Dynamic Seaport Container Terminal Truck Dispatching. - Xinan Chen; Ruibin Bai; Rong Qu; Haibo Dong; Jianjun Chen (CEC, 2020)

GTFuzz: Guard Token Directed Grey-Box Fuzzing. - Rundong Li; Hongliang Liang; Liming Liu; Xutong Ma; Rong Qu; Jun Yan 009; Jian Zhang 001 (PRDC, 2020)

The General Combinatorial Optimization Problem: Towards Automated Algorithm Design. - Rong Qu; Graham Kendall; Nelishia Pillay (IEEE Comput. Intell. Mag., 2020)

A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing. - Fuhong Song; Huanlai Xing; Shouxi Luo; Dawei Zhan; Penglin Dai; Rong Qu (IEEE Internet Things J., 2020)

A variable neighborhood search algorithm with reinforcement learning for a real-life periodic vehicle routing problem with time windows and open routes. - Binhui Chen; Rong Qu; Ruibin Bai; Wasakorn Laesanklang (RAIRO Oper. Res., 2020)

Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification. - Yuwei Guo 001; Zhuangzhuang Sun; Rong Qu; Licheng Jiao; Fang Liu 001; Xiangrong Zhang (Remote. Sens., 2020)

A hybrid combinatorial approach to a two-stage stochastic portfolio optimization model with uncertain asset prices. - Tianxiang Cui; Ruibin Bai; Shusheng Ding; Andrew J. Parkes; Rong Qu; Fang He; Jingpeng Li 001 (Soft Comput., 2020)

RNTS: Robust Neural Temporal Search for Time Series Classification. - Zhiwen Xiao; Xin Xu 009; Huanlai Xing; Rong Qu; Fuhong Song; Bowen Zhao 002 (IJCNN, 2021)

A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem. - Ning Xue; Ruibin Bai; Rong Qu; Uwe Aickelin (Eur. J. Oper. Res., 2021)

Automated design of search algorithms: Learning on algorithmic components. - Weiyao Meng; Rong Qu (Expert Syst. Appl., 2021)

Assessing hyper-heuristic performance. - Nelishia Pillay; Rong Qu (J. Oper. Res. Soc., 2021)

Guest Editorial: Automated Machine Learning. - Hugo Jair Escalante; Quanming Yao; Wei-Wei Tu; Nelishia Pillay; Rong Qu; Yang Yu 001; Neil Houlsby (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

A Unified Framework of Graph-Based Evolutionary Multitasking Hyper-Heuristic. - Xingxing Hao; Rong Qu; Jing Liu 006 (IEEE Trans. Evol. Comput., 2021)

Recent Developments of Automated Machine Learning and Search Techniques. - Rong Qu (Automated Design of Machine Learning and Search Algorithms, 2021)

A General Model for Automated Algorithm Design. - Rong Qu (Automated Design of Machine Learning and Search Algorithms, 2021)

An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem. - Xinyang Du; Ruibin Bai; Tianxiang Cui; Rong Qu; Jiawei Li 001 (CEC, 2022)

An Efficient Federated Distillation Learning System for Multi-task Time Series Classification. - Huanlai Xing; Zhiwen Xiao; Rong Qu; Zonghai Zhu; Bowen Zhao 002 (CoRR, 2022)

A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties. - Yuchang Zhang; Ruibin Bai; Rong Qu; Chaofan Tu; Jiahuan Jin (Eur. J. Oper. Res., 2022)

Case-based reasoning system for fault diagnosis of aero-engines. - Mengqi Chen; Rong Qu; Weiguo Fang (Expert Syst. Appl., 2022)

An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing. - Huanlai Xing; Jing Zhu; Rong Qu; Penglin Dai; Shouxi Luo; Muhammad Azhar Iqbal (Swarm Evol. Comput., 2022)

Identify Patterns in Online Bin Packing Problem: An Adaptive Pattern-Based Algorithm. - Bingchen Lin; Jiawei Li 001; Ruibin Bai; Rong Qu; Tianxiang Cui; Huan Jin (Symmetry, 2022)

Adaptive Fuzzy Learning Superpixel Representation for PolSAR Image Classification. - Yuwei Guo 001; Licheng Jiao; Rong Qu; Zhuangzhuang Sun; Shuang Wang 001; Shuo Wang 005; Fang Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

An Efficient Federated Distillation Learning System for Multitask Time Series Classification. - Huanlai Xing; Zhiwen Xiao; Rong Qu; Zonghai Zhu; Bowen Zhao 002 (IEEE Trans. Instrum. Meas., 2022)

An integrated container terminal scheduling problem with different-berth sizes via multiobjective hydrologic cycle optimization. - Huifen Zhong; Zhaotong Lian; Bowen Xue; Ben Niu 002; Rong Qu; Tianwei Zhou (Int. J. Intell. Syst., 2022)

Transformer Surrogate Genetic Programming for Dynamic Container Port Truck Dispatching. - Xinan Chen; Jing Dong; Rong Qu; Ruibin Bai (BIC-TA (1), 2023)

Sequential Rule Mining for Automated Design of Meta-heuristics. - Weiyao Meng; Rong Qu (GECCO Companion, 2023)

Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching. - Xinan Chen; Feiyang Bao; Rong Qu; Jing Dong; Ruibin Bai (ITSC, 2023)

Scope-based Compiler Differential Testing. - Rong Qu; Jiangang Huang; Long Zhang; Tianlu Qiao; Jian Zhang 001 (QRS, 2023)

Guest Editorial Special Issue on Multiobjective Evolutionary Optimization in Machine Learning. - Uwe Aickelin; Hadi Akbarzadeh Khorshidi; Rong Qu; Hadi Charkhgard (IEEE Trans. Evol. Comput., 2023)

Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework. - Wenjie Yi; Rong Qu; Licheng Jiao; Ben Niu 002 (IEEE Trans. Evol. Comput., 2023)

Models of Representation in Computational Intelligence [Guest Editorial]. - Marco S. Nobile; Luca Manzoni; Daniel A. Ashlock; Rong Qu (IEEE Comput. Intell. Mag., 2023)

A Pareto Front grid guided multi-objective evolutionary algorithm. - Ying Xu; Huan Zhang; Lei Huang; Rong Qu; Yusuke Nojima (Appl. Soft Comput., 2023)

A Collaborative Learning Tracking Network for Remote Sensing Videos. - Xiaotong Li; Licheng Jiao; Hao Zhu 009; Fang Liu 001; Shuyuan Yang 001; Xiangrong Zhang; Shuang Wang 001; Rong Qu (IEEE Trans. Cybern., 2023)

Automated algorithm design using proximal policy optimisation with identified features. - Wenjie Yi; Rong Qu; Licheng Jiao (Expert Syst. Appl., 2023)

Cooperative Double-Layer Genetic Programming Hyper-Heuristic for Online Container Terminal Truck Dispatching. - Xinan Chen; Ruibin Bai; Rong Qu; Haibo Dong (IEEE Trans. Evol. Comput., 2023)

Automated design of search algorithms based on reinforcement learning. - Wenjie Yi; Rong Qu (Inf. Sci., 2023)

A Hierarchical Cooperative Genetic Programming for Complex Piecewise Symbolic Regression. - Xinan Chen; Wenjie Yi; Ruibin Bai; Rong Qu; Yaochu Jin (CEC, 2024)

Machine Learning for Evolutionary Computation - the Vehicle Routing Problems Competition. - Weiyao Meng; Rong Qu; Nelishia Pillay (GECCO Companion, 2024)

Advancing container port traffic simulation: A data-driven machine learning approach in sparse data environments. - Xinan Chen; Rong Qu; Jing Dong; Haibo Dong; Ruibin Bai (Appl. Soft Comput., 2024)

ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation. - Qing Xu 014; Jiaxuan Li; Xiangjian He; Ziyu Liu; Zhen Chen 013; Wenting Duan; Chenxin Li; Maggie M. He; Fiseha B. Tesema; Wooi Ping Cheah; Yi Wang 037; Rong Qu; et al. (CoRR, 2024)

{S3-Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation. - Gui Wang; Yuexiang Li; Wenting Chen; Meidan Ding; Wooi Ping Cheah; Rong Qu; Jianfeng Ren; Linlin Shen (CoRR, 2024)

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning. - Jiahuan Jin; Tianxiang Cui; Ruibin Bai; Rong Qu (Eur. J. Oper. Res., 2024)

A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem. - Bingchen Lin; Jiawei Li 001; Tianxiang Cui; Huan Jin; Ruibin Bai; Rong Qu; Jon Garibaldi (Expert Syst. Appl., 2024)

Learning-guided cross-sampling for large-scale evolutionary multi-objective optimization. - Haofan Wang; Li Chen; Xingxing Hao; Rong Qu; Wei Zhou 012; Dekui Wang; Wei Liu 156 (Swarm Evol. Comput., 2024)

Deep Contrastive Representation Learning With Self-Distillation. - Zhiwen Xiao; Huanlai Xing; Bowen Zhao 002; Rong Qu; Shouxi Luo; Penglin Dai; Ke Li 020; Zonghai Zhu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Automated design of local search algorithms: Predicting algorithmic components with LSTM. - Weiyao Meng; Rong Qu (Expert Syst. Appl., 2024)

Densely Knowledge-Aware Network for Multivariate Time Series Classification. - Zhiwen Xiao; Huanlai Xing; Rong Qu; Li Feng; Shouxi Luo; Penglin Dai; Bowen Zhao 002; Yuanshun Dai (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Self-Bidirectional Decoupled Distillation for Time Series Classification. - Zhiwen Xiao; Huanlai Xing; Rong Qu; Hui Li 020; Li Feng; Bowen Zhao 002; Jiayi Yang (IEEE Trans. Artif. Intell., 2024)

DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification. - Zhiwen Xiao; Xin Xu 009; Huanlai Xing; Bowen Zhao 002; Xinhan Wang; Fuhong Song; Rong Qu; Li Feng (IEEE Trans. Cogn. Dev. Syst., 2024)

S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation. - Gui Wang; Yuexiang Li; Wenting Chen; Meidan Ding; Wooi Ping Cheah; Rong Qu; Jianfeng Ren; Linlin Shen (AAAI, 2025)

MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities. - Bizhu Wu; Jinheng Xie; Keming Shen; Zhe Kong; Jianfeng Ren; Ruibin Bai; Rong Qu; Linlin Shen (CVPR, 2025)

PGU-SGP: A Pheno-Geno Unified Surrogate Genetic Programming For Real-life Container Terminal Truck Scheduling. - Leshan Tan; Chenwei Jin; Xinan Chen; Rong Qu; Ruibin Bai (GECCO, 2025)

Static Analysis of Remote Procedure Call in Java Programs. - Baoquan Cui; Rong Qu; Zhen Tang; Jian Zhang (ICSE, 2025)

CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images. - Jiaxuan Li; Qing Xu 014; Xiangjian He; Ziyu Liu; Daokun Zhang; Ruili Wang; Rong Qu; Guoping Qiu (CoRR, 2025)

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. - Zhiwen Xiao; Huagang Tong; Rong Qu; Huanlai Xing; Shouxi Luo; Zonghai Zhu; Fuhong Song; Li Feng (IEEE Trans. Neural Networks Learn. Syst., 2025)

HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling. - Qing Xu 014; Zhenye Lou; Chenxin Li; Xiangjian He; Rong Qu; Fiseha Berhanu Tesema; Yi Wang 037; Wenting Duan; Zhen Chen 013 (CoRR, 2025)

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems. - Xian Chen; Rong Qu; Jing Dong; Ruibin Bai; Yaochu Jin (CoRR, 2025)

JustinANN: Realistic Test Generation for Java Programs Driven by Annotations. - Baoquan Cui; Rong Qu; Jian Zhang (CoRR, 2025)

Guest Editorial Machine-Learning-Assisted Evolutionary Computation. - Rong Qu; Nelishia Pillay; Emma Hart; Manuel López-Ibáñez 001 (IEEE Trans. Evol. Comput., 2025)

FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing. - Bizhu Wu; Jinheng Xie; Meidan Ding; Zhe Kong; Jianfeng Ren; Ruibin Bai; Rong Qu; Linlin Shen (CoRR, 2025)

Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks. - Xinan Chen; Ruibin Bai; Rong Qu; Jing Dong; Yaochu Jin (IEEE Trans. Evol. Comput., 2025)

CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images. - Jiaxuan Li; Qing Xu 014; Xiangjian He; Ziyu Liu; Daokun Zhang; Ruili Wang; Rong Qu; Guoping Qiu (Expert Syst. Appl., 2026)