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Research Output 2002 2019

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Conference contribution
2019

A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour

Awad, A., Pang, W., Lusseau, D. & Coghill, G. M., Jul 2019, ALIFE 2019: The 2019 Conference on Artificial Life. Fellermann, H., Bacardit, J., Goñi-Moreno, Á. & Füchslin, R. M. (eds.). The MIT Press, p. 203-210 8 p. (Artificial Life Conference Proceedings; vol. 31).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Cellular automata
Multiobjective optimization
Wireless sensor networks
Brain
Mathematical models

A Physarum-Inspired Competition Algorithm for Solving Discrete Multi-Objective Optimization Problems

Awad, A., Usman, M., Lusseau, D., Coghill, G. M. & Pang, W., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M., Auger, A. & Stützle, T. (eds.). New York, USA: ACM, p. 195-196 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multiobjective optimization
Cellular automata
Evolutionary algorithms

Inferring Structure and Parameters of Dynamic Systems using Latin Hypercube Sampling Multi Dimensional Uniformity-Particle Swarm Optimization

Usman, M., Awad, A., Pang, W. & Coghill, G. M., 13 Jul 2019, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. López-Ibáñez, M., Auger, A. & Stützle, T. (eds.). New York, USA: ACM, p. 101-102 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Particle swarm optimization (PSO)
Dynamical systems
Sampling
Time series
Costs
2018

A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks

Karatu, M. T., Pang, W. & Coghill, G. M., 2018, ReaLX’18: Reasoning, Learning & Explainability in AI. Martin, K., Wiratunga, N. & Smith, L. S. (eds.). CEUR-WS, Vol. 2151. (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

CLEMI-imputation evaluation

Chapman, A., Pang, W. & Coghill, G., 20 Aug 2018, SACI 2018 - IEEE 12th International Symposium on Applied Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 373-378 6 p. 8440981

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Imputation
Evaluation
Missing Data
Justify
Learning systems
13 Downloads (Pure)

Non-constructive interval simulation of dynamic systems

Pang, W., Bruce, A. M. & Coghill, G. M., 2018, Proceeding of the 31st International Workshop on Qualitative Reasoning (co-located at IJCAI'18). Falomir, Z., Coghill, G. M. & Pang, W. (eds.). p. 70-77 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File

Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks

Awad, A., Pang, W. & Coghill, G. M., 31 Oct 2018, Advances in Computational Intelligence Systems: Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK. Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C. & McGinnity, M. (eds.). Springer , p. 327-338 12 p. (Advances in Intelligent Systems and Computing (AISC); vol. 840).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Restoration
Sensors
Base stations
Wireless sensor networks
Repair

Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles

Awad, A., Pang, W. & Coghill, G., 2018, International Conference for Emerging Technologies in Computing iCETiC 2018. Miraz, M. H., Excell, P., Ware, A., Soomro, S. & Ali, M. (eds.). Springer , p. 153-160 8 p. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST); vol. 200).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensor nodes
Sensors
Wireless sensor networks

Towards a Robust Imputation Evaluation Framework

Chapman, A., Pang, W. & Coghill, G., 24 Jun 2018, Proceedings of The Seventh International Conference on Intelligent Systems and Applications. Magalhães, G. M. & Gonçalves, A. (eds.). IARIA, p. 7-13 7 p. (INTELLI ).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
4 Downloads (Pure)

Towards making NLG a voice for interpretable Machine Learning

Forrest, J., Sripada, S., Pang, W. & Coghill, G., 30 Nov 2018, Proceedings of The 11th International Natural Language Generation Conference. Krahmer, E., Gatt, A. & Goudbeek, M. (eds.). Association for Computational Linguistics (ACL), p. 177-182 6 p. W18-6522

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Learning systems

ε-Distance Weighted Support Vector Regression

Ou, G., Wang, Y., Huang, L., Pang, W. & Coghill, G. M., 22 Jul 2018, Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I. Phung, D., Tseng, V. S., Webb, P. G. I., Ho, B., Ganji, M. & Rashidi, L. (eds.). Springer International Publishing, 17. (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
2017

A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks

Ma, M., Pang, W., Huang, L. & Wang, Z., 2017, The Pacific-Asia Conference on Knowledge Discovery and Data Mining: PAKDD 2017. Kim, J., Shim, K., Cao, L., Lee, J. G., Lin, X. & Moon, Y. S. (eds.). Cham: Springer , p. 750-761 11 p. (Lecture Notes in Computer Science; vol. 10234).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chemical analysis
9 Downloads (Pure)

Gravitation Field Algorithm with Optimal Detection for Unconstrained Optimization

Huang, L., Hu, X., Wang, Y., Zhang, F., Liu, Z. & Pang, W., 2017, The 2017 4th International Conference on Systems and Informatics (ICSAI 2017). IEEE Press, p. 1328-1333 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
astronomy
heuristics
genetic algorithm
planet
detection
13 Downloads (Pure)

Large Margin Distribution Machine Recursive Feature Elimination

Ou, G., Wang, Y., Pang, W. & Coghill, G. M., 2017, The 2017 4th International Conference on Systems and Informatics (ICSAI 2017) . IEEE Press, p. 1427-1432 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Feature extraction
Experiments
2016
2 Citations (Scopus)
5 Downloads (Pure)

A Novel Spatio-Temporal Data Storage and Index Method for ARM-Based Hadoop Server

Han, L., Huang, L., Yang, X., Pang, W. & Wang, K., 2016, Cloud Computing and Security: Second International Conference, ICCCS 2016. Lecture Notes in Computer Science. Sun, X., Liu, A., Chao, H-C. & Bertino, E. (eds.). Springer , p. 206-216 11 p. (Information Systems and Applications, incl. Internet/Web, and HCI (Lecture Notes in Computer Science); vol. 10039).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Cloud computing
Servers
Data storage equipment
Electric power transmission networks
Resource allocation
8 Downloads (Pure)

FdDCA: A Novel Fuzzy Deterministic Dendritic Cell Algorithm

Mukhtar, N., Coghill, G. M. & Pang, W., 20 Jul 2016, GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. Friedrich, T., Neumann, F. & Sutton, A. M. (eds.). ACM, p. 1007-1010 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Dendritic Cells
Immune system
Fuzzy inference
Fuzzy sets
Linguistics
4 Downloads (Pure)

Partitioning Clustering Based on Support Vector Ranking

Peng, Q., Wang, Y., Ou, G., Huang, L. & Pang, W., 2016, Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings. Li, J., Li, X., Wang, S., Li, J. & Sheng, Q. Z. (eds.). Springer International Publishing, Vol. 10086. p. 726-737 12 p. (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Sorting
Clustering algorithms
Costs
4 Downloads (Pure)

PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins

Wang, Y., Du, W., Liang, Y., Chen, X., Zhang, C., Pang, W. & Xu, Y., 2016, Advanced Data Mining and Applications: 2th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings. Li, J., Li, X., Wang, S., Li, J. & Sheng, Q. Z. (eds.). Springer International Publishing, p. 714-725 12 p. (Lecture Notes in Artificial Intelligence (LNAI)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Urine
Proteins
Biomarkers
2015

ADOVA: Anomaly Detection in Online and Virtual spAces

Emele, C. D., Spakov, V., Pang, W., Bone, J. D. & Coghill, G. M., 4 May 2015, Proceedings of the 3rd International Workshop on Collaborative Online Organizations: co-located with the 14th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2015). Alqithami, S. & Hexmoor, H. (eds.). Istanbul, Turkey, Vol. May 4 2015. p. 38-41 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Ad hoc networks
Specifications
1 Citation (Scopus)
1 Downloads (Pure)

Automatically Predicting Quiz Difficulty Level Using Similarity Measures

Lin, C., Liu, D., Pang, W. & Apeh, E., 2015, Proceedings of The 8th International Conference on Knowledge Capture (K-Cap). ACM, p. 1-8 8 p. 1

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semantics
Experiments
1 Citation (Scopus)

Mode-Driven Volume Analysis Based on Correlation of Time Series

Jia, C., Pang, W. & Fu, Y., 19 Mar 2015, Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I. Agapito, L., Bronstein, M. M. & Rother, C. (eds.). Zurich: Springer , p. 818-833 16 p. (Lecture Notes in Computing Science; vol. 8925).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tensors
Time series
Discriminant analysis
Face recognition
Experiments
2014
1 Citation (Scopus)
36 Downloads (Pure)

An immune network approach to learning qualitative models of biological pathways

Pang, W. & Coghill, G. M., 2014, 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014). IEEE Press, p. 1030-1037 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Detoxification
Model checking
Antibodies
Differential equations

Essential Protein Identification based on Essential Protein-Protein Interaction Prediction by Integrated Edge Weights

Jiang, Y., Wang, Y., Pang, W., Chen, L., Sun, H., Liang, Y. & Blanzieri, E., 2014, The IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2014). Belfast, UK: IEEE Press, p. 480-483 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Downloads (Pure)

Fuzzy qualitative simulation with multivariate constraints

Pang, W. & Coghill, G. M., 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014). IEEE Press, p. 575-582 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Experiments
34 Citations (Scopus)
4 Downloads (Pure)

Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations

Luo, C., Pang, W., Wang, Z. & Lin, C., 24 Dec 2014, 2014 IEEE International Conference on Data Mining (ICDM 2014). Kumar, R., Toivonen, H., Pei, J., Huang, J. Z. & Wu, X. (eds.). IEEE Explore, p. 917-922 6 p. (IEEE proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

File
Collaborative filtering
11 Citations (Scopus)
6 Downloads (Pure)

Semi-supervised clustering on heterogeneous information networks

Luo, C., Pang, W. & Wang, Z., May 2014, Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II. Tseng, V. S., Bao Ho, T., Zhou, Z-H., Chen, A. L. P. & Kao, H-Y. (eds.). Springer , p. 548-559 12 p. (Lecture Notes in Computer Science; vol. 8444).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
2013

An Immune Network Approach to Qualitative System Identification of Biological Pathways

Pang, W. & Coghill, G. M., 2013, 27th International Workshop on Qualitative Reasoning (QR 2013). Bhatt, M., Struss, P. & Freksa, C. (eds.). Bremen, Germany: Universität Bremen / Universität Freiburg, p. 77-84 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Stepwise modelling of biochemical pathways based on qualitative model learning

Wu, Z., Pang, W. & Coghill, G. M., 2013, Proceeding of the 13th UK Workshop on Computational Intelligence. Computational Intelligence (UKCI 2013). Jin, Y. & Thomas, S. A. (eds.). IEEE Explore, p. 31-37 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Topology
Biochemistry
Chemical analysis
2012

Extended Kernel Subsets Analysis for Qualitative Model Learning

Pang, W. & Coghill, G. M., 2012, Proceeding of the 12th UK Workshop on Computational Intelligence. De Wilde, P., Coghill, G. M. & Kononova, A. V. (eds.). Edinburgh, UK: IEEE Explore, p. 1-7 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Testbeds
Set theory
Experiments
2011

A fast opt-AINet approach to qualitative model learning with a modified mutation operator.

Pang, W. & Coghill, G. M., Sep 2011, Proceedings of the 11th UK Workshop on Computational Intelligence (UKCI). University of Manchester

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2010
2 Citations (Scopus)

Learning Qualitative Metabolic Models Using Evolutionary Methods

Pang, W. & Coghill, G. M., 2010, 2010 Fifth International Conference on Frontier of Computer Science and Technology. Changchun, Jilin Province : IEEE Computer Society, p. 436-441 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Evolutionary algorithms
Genetic algorithms
Engines
6 Citations (Scopus)

QML-AiNet: An Immune-inspired Network Approach to Qualitative Model Learning

Pang, W. & Coghill, G. M., 2010, proc. of 8th International Conference on Artificial Immune Systems (ICARIS 2010). Hart, E., McEwan, C., Timmis, J. & Hone, A. (eds.). Berlin Heidelberg: Springer-Verlag, p. 223-236 14 p. (Lecture Notes in Computer Science; vol. 6209).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
2009
1 Citation (Scopus)

An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal

Pang, W. & Coghill, G. M., 28 Jul 2009, Lecture Notes in Computer Science. Springer , Vol. 5666. p. 151-164 14 p. (Lecture Notes in Computer Science; vol. 5666).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Detoxification
Identification (control systems)
Learning systems
Scalability
2008

Learning qualitative models of the detoxification pathway of methylglyoxal

Pang, W. & Coghill, G. M., 2008, the 8th annual UK Workshop on Computational Intelligence. De Montford University, UK, p. CD

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-agent ERA Model Based on Belief Solves Multi-port Container Stowage Problem

Liu, Y., Wang, K., Guo, D., Pang, W. & Zhou, C., Oct 2008, Seventh Mexican International Conference on Artificial Intelligence (MICAI '08). IEEE Explore, p. 287-292 6 p. (Lecture Notes in Artificial Intelligence; no. 5137).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Containers
Learning systems
Time series
2007

Advanced experiments for learning qualitative compartment models

Pang, W. & Coghill, G. M., 2007, Proceeding of the 21st International Workshop on Qualitative Reasoning. Aberystwyth, UK, p. 109-117 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Clonal selection algorithm for learning qualitative compartmental models of metabolic systems

Pang, W., 2007, 7th annual UK Workshop on Computational Intelligence. London, p. CD

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Modified clonal selection algorithm for learning qualitative compartmental models of metabolic systems

Pang, W. & Coghill, G. M., 2007, Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation. ACM Press, p. 2887-2894 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Antibodies
2006

An Evolution Computation Based Approach to Synthesize Video Texture

Meng, Y., Li, W., Wang, Y., Guo, W. & Pang, W., 5 Dec 2006, Computational Science – ICCS 2006: Proceedings of the 6th International Conference, Part II. Alexandrov, V. N., van Albada, G. D., Sloot, P. M. A. & Dongarra, J. (eds.). Berlin, Germany: Springer , Vol. 3992. p. 223-230 8 p. (Lecture Notes in Computer Science - Computer Science and General Issues; vol. 3992).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Textures
Computer graphics
Processing
Computer vision
Image processing
5 Downloads (Pure)

EQML- An Evolutionary Qualitative Model Learning Framework

Pang, W. & Coghill, G. M., 2006, 2nd European Symposium on Nature-inspired Smart Information Systems. Puerto de la Cruz, Tenerife, Spain, p. 1-7 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Evolutionary algorithms
Genetic algorithms
Engines

Evolutionary approaches for learning qualitative compartment metabolic models

Pang, W. & Coghill, G. M., 2006, Proceeding of the 6th annual UK Workshop on Computational Intelligence. Leeds, UK, p. 11-16 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2004
109 Citations (Scopus)

Fuzzy discrete particle swarm optimization for solving traveling salesman problem

Pang, W., Wang, K., Zhou, C., Dong, L. & Yin, Z., 30 Nov 2004, Proceedings of the 2004 International Conference on Computer and Information Technology (CIT2004). Los Alamos, CA, USA: IEEE Press, p. 796-800 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Traveling salesman problem
Particle swarm optimization (PSO)
Combinatorial optimization
Mathematical operators
Computational complexity
38 Citations (Scopus)

Modified particle swarm optimization based on space transformation for solving traveling salesman problem

Pang, W., Wang, K., Zhou, C., Dong, L., Liu, M., Zhang, H. & Wang, J., Aug 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics. New York, NY, USA: IEEE Press, Vol. 4. p. 2342-2346 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Traveling salesman problem
Particle swarm optimization (PSO)
2003
259 Citations (Scopus)

Particle swarm optimization for traveling salesman problem

Wang, K., Huang, L., Zhou, C. & Pang, W., 2 Nov 2003, 2003 International Conference on Machine Learning and Cybernetics. IEEE Press, Vol. 3. p. 1583-1585 3 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Traveling salesman problem
Particle swarm optimization (PSO)
Experiments