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Jun Chen 0009

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affiliation: Queen Mary University of London, School of Engineering and Materials Science, United Kingdom
affiliation: University of Lincoln, School of Engineering, United Kingdom
affiliation (PhD 2010): University of Sheffield, Department of Automatic Control and Systems Engineering, United Kingdom

Other persons with the same name

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Jun Chen — disambiguation page
Jun Chen 0001 — Wuhan University, National Engineering Research Center for Multimedia Software, China
Jun Chen 0002 — Oakland University, Rochester, MI, USA (and 2 more)
Jun Chen 0003 — Peking University, Beijing, China
Jun Chen 0004 — Tsinghua University, School of Software, Beijing, China
Jun Chen 0005 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada (and 4 more)
Jun Chen 0006 — Ningbo University of Technology, Faculty of Science, China
Jun Chen 0007 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
Jun Chen 0008 — University of California, Los Angeles, Department of Electrical Engineering, CA, USA (and 1 more)
Jun Chen 0010 — Northwest A&F University, College of Animal Science and Technology, Yangling, China

Jun Chen 0011 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China (and 1 more)
Jun Chen 0012 — Xiamen University, China (and 1 more)
Jun Chen 0013 — Sun Yat-Sen University, School of Electronics and Information Technology, Guangzhou, China
Jun Chen 0014 — University of Essex, Centre for Computational Finance and Economic Agents, Colchester, UK
Jun Chen 0015 — Nanjing University of Information Science and Technology, School of Electronic and Information Engineering, China (and 1 more)
Jun Chen 0016 — Nanjing University of Science and Technology, School of Automation, China (and 3 more)
Jun Chen 0017 — KDDI Research Inc., Ultra-realistic Communication Group, Fujimino, Japan
Jun Chen 0018 — University of Waterloo, Ontario, Canada
Jun Chen 0019 — Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China (and 1 more)
Jun Chen 0020 — Wuhan University, School of Information Management, China
Jun Chen 0021 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Jun Cheng 0005 (aka: Jun Chen 0022) — Southeast University, Jiangning Development Zone, School of Transportation, Nanjing, China
Jun Chen 0023 — Zhejiang University, Institute of Cyber-Systems and Control, China (and 1 more)
Jun Chen 0024 — Tsinghua University, Shenzhen International Graduate School, Shenzhen, China (and 1 more)

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2020 – today

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2024
[j18]
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Lilla Beke, Lourdes Uribe, Adriana Lara, Carlos Artemio Coello Coello, Michal Weiszer, Edmund K. Burke, Jun Chen:
Routing and Scheduling in Multigraphs With Time Constraints - A Memetic Approach for Airport Ground Movement. IEEE Trans. Evol. Comput. 28(2): 474-488 (2024)
2023
[j17]
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Yan Ma, Wenbo Du, Jun Chen, Yu Zhang, Yisheng Lv, Xianbin Cao:
A Spatiotemporal Neural Network Model for Estimated-Time-of-Arrival Prediction of Flights in a Terminal Maneuvering Area. IEEE Intell. Transp. Syst. Mag. 15(1): 285-299 (2023)
[j16]
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Wenbo Du, Biyue Li, Jun Chen, Yisheng Lv, Yumeng Li:
A Spatiotemporal Hybrid Model for Airspace Complexity Prediction. IEEE Intell. Transp. Syst. Mag. 15(2): 217-224 (2023)
[j15]
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Biyue Li, Tong Guo, Yi Mei, Yumeng Li, Jun Chen, Yu Zhang, Ke Tang, Wenbo Du:
A multi-objective memetic algorithm with adaptive local search for airspace complexity mitigation. Swarm Evol. Comput. 83: 101400 (2023)
[j14]
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Xinwei Wang, Alexander Edward Ian Brownlee, Michal Weiszer, John R. Woodward, Mahdi Mahfouf, Jun Chen:
An Interval Type-2 Fuzzy Logic-Based Map Matching Algorithm for Airport Ground Movements. IEEE Trans. Fuzzy Syst. 31(2): 582-595 (2023)
[c29]
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Francisco Ruben Parra Perea, Jun Chen, Michal Weiszer, John Korna, Richard Cannon:
Airport Ground Movement Optimization Revisited: Coupling Airport Runway Spacing to Multi-Objective Routing and Scheduling Through Genetic Algorithms. SSCI 2023: 200-206
2022
[j13]
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Biyue Li, Wenbo Du, Yu Zhang, Jun Chen, Ke Tang, Xianbin Cao:
A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation. IEEE Trans. Intell. Transp. Syst. 23(8): 11739-11751 (2022)
[c28]
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Anil Arpaci, Jun Chen, John H. Drake, Tim Glover:
Sequence-based Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation. CEC 2022: 1-8
[c27]
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Tianci Zhang, Lilla Beke, Songwei Liu, Michal Weiszer, Jun Chen:
An extended memetic algorithm for multiobjective routing and scheduling of airport ground movements with intermediate holding. CEC 2022: 1-8
[c26]
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Songwei Liu, Jun Chen, Michal Weiszer:
Multi-objective Multigraph A* Search with Learning Heuristics based on Node Metrics and Graph Embedding. IS 2022: 1-8
[c25]
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  - conf/ukci/Al-HindiM0O22
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Abrar Al-Hindi, Mahdi Mahfouf, Jun Chen, Olusayo Obajemu:
An Artificial Neural Networks (ANN) Based System for Optimal Taxiing Navigation of a BOEING-747 Aircraft. UKCI 2022: 250-260
[c24]
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Anil Arpaci, Jun Chen, John H. Drake, Tim Glover:
Network Design Optimisation Using Two Population-Based Search Strategies. UKCI 2022: 451-462
2021
[j12]
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Lilla Beke, Michal Weiszer, Jun Chen:
A Comparison of Genetic Representations and Initialisation Methods for the Multi-objective Shortest Path Problem on Multigraphs. SN Comput. Sci. 2(3): 176 (2021)
[c23]
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Anil Arpaci, Jun Chen, John H. Drake, Tim Glover:
Intelligent Strategies to Combine Move Heuristics in Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation. SSCI 2021: 1-8
[i1]
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  - journals/corr/abs-2104-05989
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Mahak Kothari, Swapna Sasi, Jun Chen, Elham Zareian, Basabdatta Sen Bhattacharya:
Bayesian Optimisation for a Biologically Inspired Population Neural Network. CoRR abs/2104.05989 (2021)
2020
[c22]
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Lilla Beke, Michal Weiszer, Jun Chen:
A Comparison of Genetic Representations for Multi-objective Shortest Path Problems on Multigraphs. EvoCOP 2020: 35-50

2010 – 2019

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2019
[j11]
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Hao Wang, Zhuxi Zhang, Zhen Dai, Jun Chen, Xi Zhu, Wenbo Du, Xianbin Cao:
Heterogeneous pigeon-inspired optimization. Sci. China Inf. Sci. 62(7): 70205:1-70205:9 (2019)
[j10]
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Xuejun Zhang, Wei Jia, Xiangmin Guan, Guoqiang Xu, Jun Chen, Yanbo Zhu:
Optimized deployment of a radar network based on an improved firefly algorithm. Frontiers Inf. Technol. Electron. Eng. 20(3): 425-437 (2019)
2018
[j9]
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Huaxian Liu, Feng Liu, Xuejun Zhang, Xiangmin Guan, Jun Chen, Pascal Savinaud:
Aircraft conflict resolution method based on hybrid ant colony optimization and artificial potential field. Sci. China Inf. Sci. 61(12): 129103:1-129103:3 (2018)
[c21]
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Alexander E. I. Brownlee, John R. Woodward, Michal Weiszer, Jun Chen:
A rolling window with genetic algorithm approach to sorting aircraft for automated taxi routing. GECCO 2018: 1207-1213
[c20]
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Elham Zareian, Jun Chen, Louise O'Hare, Basabdatta Sen Bhattacharya, Timothy J. Gordon:
Interpretable Fuzzy Rule-Based Systems for Classification of Multi-class EEG Data. SMC 2018: 4224-4229
2017
[j8]
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Xiangmin Guan, Xuejun Zhang, Renli Lv, Jun Chen, Michal Weiszer:
A large-scale multi-objective flights conflict avoidance approach supporting 4D trajectory operation. Sci. China Inf. Sci. 60(11): 112202:1-112202:13 (2017)
[c19]
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Jun Chen, Michal Weiszer, Elham Zareian, Mahdi Mahfouf, Olusayo Obajemu:
Multi-objective fuzzy rule-based prediction and uncertainty quantification of aircraft taxi time. ITSC 2017: 1-5
2016
[j7]
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Yu Zhang, Michael Gallimore, Chris Bingham, Jun Chen, Yong Xu:
Hybrid Hierarchical Clustering - Piecewise Aggregate Approximation, with Applications. Int. J. Comput. Intell. Appl. 15(4): 1650019:1-1650019:26 (2016)
[j6]
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Jun Chen, Michal Weiszer, Paul J. Stewart, Masihalah Shabani:
Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing - Part I: Optimal Speed Profile Generation. IEEE Trans. Intell. Transp. Syst. 17(5): 1196-1209 (2016)
[j5]
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Jun Chen, Michal Weiszer, Giorgio Locatelli, Stefan Ravizza, Jason A. D. Atkin, Paul J. Stewart, Edmund K. Burke:
Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing: A Multiobjective Shortest Path Approach. IEEE Trans. Intell. Transp. Syst. 17(12): 3524-3540 (2016)
[c18]
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Elham Zareian, Jun Chen, Basabdatta Sen Bhattacharya:
A Robust Evolutionary Optimisation Approach for Parameterising a Neural Mass Model. ICANN (2) 2016: 225-234
2015
[j4]
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Jun Chen, Mahdi Mahfouf, Sidahmed Gaffour:
A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm. Eng. Appl. Artif. Intell. 37: 103-114 (2015)
[c17]
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Yu Zhang, Jun Chen, Chris Bingham, Timothy J. Gordon:
Variational Bayesian modified adaptive mamdani fuzzy modelling for use in condition monitoring. CIVEMSA 2015: 1-5
[c16]
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Jun Chen, Michal Weiszer, Paul J. Stewart:
Optimal Speed Profile Generation for Airport Ground Movement with Consideration of Emissions. ITSC 2015: 1797-1802
[c15]
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Michal Weiszer, Jun Chen, Paul J. Stewart:
Preference-Based Evolutionary Algorithm for Airport Runway Scheduling and Ground Movement Optimisation. ITSC 2015: 2078-2083
2014
[j3]
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Stefan Ravizza, Jun Chen, Jason A. D. Atkin, Paul J. Stewart, Edmund K. Burke:
Aircraft taxi time prediction: Comparisons and insights. Appl. Soft Comput. 14: 397-406 (2014)
[c14]
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Michal Weiszer, Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul J. Stewart:
A heuristic approach to greener airport ground movement. IEEE Congress on Evolutionary Computation 2014: 3280-3286
[c13]
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Yu Zhang, Jun Chen, Chris Bingham, Mahdi Mahfouf:
A new adaptive Mamdani-type fuzzy modeling strategy for industrial gas turbines. FUZZ-IEEE 2014: 1599-1603
2013
[j2]
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Stefan Ravizza, Jun Chen, Jason A. D. Atkin, Edmund K. Burke, Paul J. Stewart:
The trade-off between taxi time and fuel consumption in airport ground movement. Public Transp. 5(1-2): 25-40 (2013)
[c12]
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Yu Zhang, Chris Bingham, Michael Gallimore, Zhijing Yang, Jun Chen:
Machine fault detection during transient operation using measurement denoising. CIVEMSA 2013: 110-115
[c11]
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Yu Zhang, Chris Bingham, Michael Gallimore, Zhijing Yang, Jun Chen:
Sensor fault detection and diagnosis based on SOMNNs for steady-state and transient operation. CIVEMSA 2013: 116-121
[c10]
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  - conf/mlsp/ZhangBGC13
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Yu Zhang, Chris Bingham, Michael Gallimore, Jun Chen:
Steady-state and transient operation discrimination by Variational Bayesian Gaussian Mixture Models. MLSP 2013: 1-5
2012
[j1]
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  - journals/ijcisys/ChenM12
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Jun Chen, Mahdi Mahfouf:
Improving Transparency in Approximate Fuzzy Modeling Using Multi-objective Immune-Inspired Optimisation. Int. J. Comput. Intell. Syst. 5(2): 322-342 (2012)
[c9]
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Jun Chen, Mahdi Mahfouf, Chris Bingham, Yu Zhang, Zhijing Yang, Michael Gallimore:
An Evolutionary Based Clustering Algorithm Applied to Dada Compression for Industrial Systems. IDA 2012: 103-113
[c8]
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Yu Zhang, Christopher M. Bingham, Michael Gallimore, Zhijing Yang, Jun Chen:
Applied sensor fault detection and validation using transposed input data PCA and ANNs. MFI 2012: 269-274
[c7]
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Yu Zhang, Christopher M. Bingham, Michael Gallimore, Zhijing Yang, Jun Chen:
Sensor fault detection for industrial systems using a hierarchical clustering-based graphical user interface. MFI 2012: 389-394
2011
[c6]
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Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul J. Stewart:
On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports. ATMOS 2011: 134-145
[c5]
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Jun Chen, Paul J. Stewart:
Planning aircraft taxiing trajectories via a multi-ojective immune optimisation. ICNC 2011: 2235-2240
2010
[c4]
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  - conf/fuzzIEEE/ChenM10
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Jun Chen, Mahdi Mahfouf:
Interpretable fuzzy modeling using multi-objective immune-inspired optimization algorithms. FUZZ-IEEE 2010: 1-8

2000 – 2009

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2009
[c3]
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Jun Chen, Mahdi Mahfouf:
An Artificial Immune Systems based Predictive Modelling Approach for the Multi-Objective Elicitation of Mamdani Fuzzy Rules A Special Application to Modelling Alloys. SMC 2009: 4203-4209
2008
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Jun Chen, Mahdi Mahfouf:
An Immune Algorithm based Fuzzy Predictive Modeling Mechanism using Variable Length Coding and Multi-objective Optimization allied to Engineering Materials Processing. GrC 2008: 148-153
2006
[c1]
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Jun Chen, Mahdi Mahfouf:
A Population Adaptive Based Immune Algorithm for Solving Multi-objective Optimization Problems. ICARIS 2006: 280-293

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