Changjing Shang BSc (NUDT), PhD (Heriot-Watt)

Research Fellow

Contact Details

Room Number..........:  C36
Building....................:  Llandinam
Phone.......................:   +44 (0)1970 622438
E-Mail........................:   cns

Research Groups

Teaching Areas

Modules Taught

  • CHM1320: Advanced Software Engineering
  • SEM1020: Advanced Software Engineering

Publications

Timetable optimization for single bus line involving fuzzy travel timeLi, X., Du, H., Ma, H. & Shang, C. 2018 In : Soft Computing.
A Minimum-Cost Model for Bus Timetabling ProblemYu, H., Ma, H., Shang, C., Li, X., Xiao, R. & Du, Y. 2018 (Accepted/In press) In : Soft Computing.
Induction of Accurate and Interpretable Fuzzy Rules from Preliminary Crisp RepresentationChen, T., Shang, C., Su, P. & Shen, Q. 2018 In : Knowledge-Based Systems.146, p. 152-16614 p.
Fuzzy rule-based interpolative reasoning supported by attribute rankingLi, F., Shang, C., Li, Y., Yang, J. & Shen, Q. 2018 In : IEEE Transactions on Fuzzy Systems.99
Use of Human Gestures for Controlling a Mobile Robot via Adaptive CMAC Network and Fuzzy Logic Controller Zhou, D., Shi, M., Chao, F., Lin, C-M., Yang, L., Shang, C. & Zhou, C. 2017 In : Neurocomputing.
Ordered weighted aggregation of fuzzy similarity relations and its application to detecting water treatment plant malfunctionSu, P., Shen, Q., Chen, T. & Shang, C. 2017 In : Engineering Applications of Artificial Intelligence.66, p. 17-2923 p.
Exploiting data reliability and fuzzy clustering for journal rankingSu, P., Shang, C., Chen, T. & Shen, Q. 2017 In : IEEE Transactions on Fuzzy Systems.25, 5, p. 1306-1319
Fuzzy connected-triple for predicting inter-variable correlationLi, Z., Shang, C. & Shen, Q. 2017 The 17th UK Workshop on Computational Intelligence.Springer Nature, p. 49-62 (Advances in Intelligent Systems and Computing; vol. 650)
Improving fuzzy rule interpolation performance with information gain-guided antecedent weightingLi, F., Li, Y., Shang, C. & Shen, Q. 2017 In : Soft Computing.
Multi-functional nearest-neighbour classificationQu, Y., Shang, C., MacParthaláin, N., Wu, W. & Shen, Q. 2017 In : Soft Computing.14 p.
A Robot Calligraphy System: From Simple to Complex Writing by Human GesturesChao, F., Huang, Y., Zhang, X., Shang, C., Yang, L., Zhou, C., Hu, H. & Lin, C-M. 2017 In : Engineering Applications of Artificial Intelligence.59
Feature ranking-guided fuzzy rule interpolationLi, F., Shang, C., Li, Y. & Shen, Q. 2017 The 26th International Conference on Fuzzy Systems.
Single frame image super resolution via learning multiple ANFIS mappingsYang, J., Shang, C., Li, Y. & Shen, Q. 2017 The 26th International Conference on Fuzzy Systems.
D-FRI-WinFirewall: Dynamic fuzzy rule interpolation for Windows FirewallNaik, N. K., Diao, R., Shang, C., Shen, Q. & Jenkins, P. 2017 The 26th International Conference on Fuzzy Systems.
Fuzzy rough feature selection based on OWA aggregation of fuzzy relationsSu, P., Shang, C., Zhao, Y., Chen, T. & Shen, Q. 2017 The 26th International Conference on Fuzzy Systems.
Reliability-guided fuzzy classifier ensembleChen, T., Su, P., Shang, C. & Shen, Q. 2017 The 26th International Conference on Fuzzy Systems.
A new approach to exploring rough set boundary region for feature selectionLi, R., Qu, Y., Deng, A., Shang, C. & Shen, Q. 2017 The 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery.
Fuzzy-clustering embedded regression for predicting student academic performanceLi, Z., Shang, C. & Shen, Q. 2016 Proceedings of the 25th International Conference on Fuzzy Systems.
Guiding fuzzy rule interpolation with information gainsLi, F., Shang, C., Li, Y. & Shen, Q. 2016 Advances in Computational Intelligence: Contributions Presented at the 16th UK Workshop on Computational Intelligence. Angelov, P., Gegov, A., Jayne, C. & Shen, Q. (eds.). 2 ed.Springer Nature, p. 165-183 (Advances in Intelligent Systems and Computing; vol. 513)
Enhanced robotic hand-eye coordination inspired from human-like behavioral patternsChao, F., Zhu, Z., Lin, C-M., Hu, H., Yang, L., Shang, C. & Zhou, C. 2016 In : IEEE Transactions on Cognitive and Developmental Systems.
A New Multi-objective Model for Constrained OptimisationXu, T., He, J., Shang, C. & Ying, W. 2016 Advances in Computational Intelligence Systems: Contributions presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster UK. Angelov, P., Gegov, A., Jayne, C. & Shen, Q. (eds.). Springer Nature, p. 71-85 Chapter 6. (Advances in Computational Intelligence Systems; vol. 513)
Fuzzy rule weight modification with particle swarm optimisationChen, T., Shen, Q., Su, P. & Shang, C. 2016 In : Soft Computing.20, 8, p. 2923–2937
A hierarchical fuzzy cluster ensemble approach and its application to big data clusteringSu, P., Shang, C. & Shen, Q. 2015 In : Journal of Intelligent and Fuzzy Systems.28, 6, p. 2409-2421
Kernel-based fuzzy-rough nearest-neighbour classification for mammographic risk analysisQu, Y., Shang, C., Shen, Q., MacParthalain, N. & Wu, W. 2015 In : International Journal of Fuzzy Systems.17, 3, p. 471-483
Combining Newton interpolation and deep learning for image classificationZhang, Y. & Shang, C. 2015 In : Electronics Letters.51, 1, p. 40-42
Autonomous science target touchability evaluation: A fuzzy logic-based approachGui, C. & Shang, C. 2015 8th International Conference, ICIRA 2015, Portsmouth UK, August 24-27, 2015, Proceedings, Part III. Liu, H., Kubota, N., Zhu, X., Dillmann, R. & Zhou, D. (eds.). Springer Nature, p. 49-61 (Lecture Notes in Computer Science; vol. 9246)
Interpolation aided fuzzy image classificationZhang, Y., Shang, C. & Shen, Q. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1-7
Induction of quantified fuzzy rules with particle swarm optimisationChen, T., Shen, Q., Su, P. & Shang, C. 2015 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1-77 p.
Intelligent prediction of student examination scoresLi, Z., Shang, C. & Shen, Q. 2015
A developmental approach to robotic pointing via human-robot interactionChao, F., Wang, Z., Shang, C., Meng, Q., Jiang, M., Zhou, C. & Shen, Q. 2014 In : Information Sciences.283, p. 288-303
Nearest neighbour-guided induced OWA and its application to journal rankingSu, P., Chen, T., Shang, C. & Shen, Q. 2014 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1794-1800
Link-based pairwise similarity matrix approach for fuzzy C-means clustering ensembleSu, P., Shang, C. & Shen, Q. 2014 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1538-1544
Interpolating deep spatio-temporal inference network features for image classificationZhang, Y., Shang, C. & Shen, Q. 2014 2014 International Join Conference on Neural Networks (IJCNN).IEEE Press, p. 1819-1826
Refinement of fuzzy rule weights with particle swarm optimizationChen, T., Shen, Q., Su, P. & Shang, C. 2014 2014 14th UK Workshop on computational Intelligence.IEEE Press, p. 1-7
Modified gradient based learning for local coupled feedforward neural networks with Gaussian basis functionQu, Y., Shang, C., Yang, J., Wu, W. & Shen, Q. 2013 In : Neural Computing and Applications.22, 1 (Supplement), p. 379-394
Fuzzy-Rough Feature Selection Aided Support Vector Machines for Mars Image ClassificationShang, C. & Barnes, D. 2013 In : Computer Vision and Image Understanding.117, 3, p. 202–21312 p.
Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallelsQu, Y., Shen, Q., MacParthaláin, N. S., Shang, C. & Wu, W. 2013 In : International Journal of Approximate Reasoning.54, 1, p. 184-19512 p.
Link-based Approach for Bibliometric Journal RankingSu, P., Shang, C. & Shen, Q. 2013 In : Soft Computing.17, 12, p. 2399-2410
OWA-aggregated fuzzy similarity relations for journal rankingSu, P., Shang, C. & Shen, Q. 2013 Proceedings of the 22nd International Conference on Fuzzy Systems.IEEE Press, p. 1-77 p.
Interpolating DeSTIN features for image classificationZhang, Y., Shang, C. & Shen, Q. 2013 Proceedings of the 2013 UK Workshop on Computational Intelligence.IEEE Press, p. 292-2987 p.
Mars Multipspectral Image Classification Using Machine Learning TechniquesPan, L., Gui, C., Barnes, D. & Shang, C. 2013
Support vector machine-based classification of rock texture images aided by efficient feature selectionShang, C. & Barnes, D. 2012 The 2012 International Joint Conference on Neural Networks (IJCNN).IEEE Press, p. 1-88 p.
Extending Data Reliability Measure to a Filter Approach for Soft Subspace ClusteringBoongoen, T., Shang, C., Iam-On, N. & Shen, Q. 2011 In : IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).41, 6, p. 1705-171410 p.
Evolutionary Fuzzy Extreme Learning Machine for Mammographic Risk AnalysisQu, Y., Shang, C., Wu, W. & Shen, Q. 2011 In : International Journal of Fuzzy Systems.13, 4, p. 282-29110 p., 2552658
Classification of Mars McMurdo panorama images using machine learning techniquesShang, C. & Barnes, D. P. 2011
Kernel-Based Fuzzy-Rough Nearest Neighbour ClassificationQu, Y., Shang, C., Shen, Q., MacParthaláin, N. S. & Wu, W. 2011 Proceedings of the 20th IEEE International Conference on Fuzzy Systems.IEEE Press, p. 1523-15297 p.
Facilitating efficient Mars terrain image classification with fuzzy-rough feature selectionBarnes, D. P., Shang, C. & Shen, Q. 2011 In : International Journal of Hybrid Intelligent Systems.8, 1, p. 3-1311 p.
Combining Support Vector Machines and Information Gain Ranking for Classification of Mars McMurdo Panorama ImagesBarnes, D. P. & Shang, C. 2010 p. 1061-10644 p.
Effective Feature Selection for Mars McMurdo Terrain Image ClassificationBarnes, D. P., Shang, C. & Shen, Q. 2009 p. 1419-14246 p.
Taking Fuzzy-Rough Application to Mars: Fuzzy-Rough Feature Selection for Mars Terrain Image ClassificationShang, C., Barnes, D. P. & Shen, Q. 2009 Rough Sets, Fuzzy Sets, Data Mining and Granular Computing.Springer Nature, p. 209-2168 p.
Effective feature selection for Mars McMurdo image classificationShang, C., Barnes, D. & Shen, Q. 2009 9th International Conference on Intelligent Systems Design and Applications, 2009. ISDA '09.IEEE Press, p. 1419-1424
Aiding neural network based image classification with fuzzy-rough feature selectionShang, C. & Shen, Q. 2008 IEEE International Conference on Fuzzy Systems, 2008. FUZZ-IEEE 2008.IEEE Press, p. 976-9827 p.
Aiding classification of gene expression data with feature selection: a comparative studyShen, Q. & Shang, C. 2006 In : Journal of Computational Intelligence Research (IJCIR).p. 68-769 p.