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  • Wei Pang
2016

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
10 Downloads (Pure)
2019

TCPModel: A Short-Term Traffic Congestion Prediction Model Based on Deep Learning

Xu, X., Gao, X., Xu, Z., Zhao, X., Pang, W. & Zhou, H., Aug 2019, Artificial Intelligence: Second CCF International Conference, ICAI 2019, Xuzhou, China, August 22-23, 2019, Proceedings. Knight, K., Zhang, C., Holmes, G. & Zhang, M-L. (eds.). Singapore: Springer , p. 66-79 14 p. (Communications in Computer and Information Science; vol. 1001).

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

2012

Impact of combinatorial stresses upon Candida albicans

Kaloriti, D., Tillmann, A., Jacobsen, M., Yin, Z., Patterson, M., Radmaneshfar, E., You, T., Chandrasekaran, K., Pang, W., Coghill, G., de Moura, A. P. S., Thiel, M., Romano, M. C., Grebogi, C., Haynes, K., Quinn, J., Gow, N. A. R. & Brown, A. J. P., Jun 2012, In : Mycoses. 55, Suppl. 4, p. 15 1 p.

Research output: Contribution to journalAbstract

Combinatorial stresses kill pathogenic Candida species

Kaloriti, D., Tillmann, A., Cook, E., Jacobsen, M., You, T., Lenardon, M., Ames, L., Barahona, M., Chandrasekaran, K., Coghill, G., Goodman, D., Gow, N. A. R., Grebogi, C., Ho, H-L., Ingram, P., McDonagh, A., de Moura, A. P. S., Pang, W., Puttnam, M., Radmaneshfar, E. & 10 others, Romano, M. C., Silk, D., Stark, J., Stumpf, M., Thiel, M., Thorne, T., Usher, J., Yin, Z., Haynes, K. & Brown, A. J. P., Oct 2012, In : Medical Mycology. 50, 7, p. 699-709 11 p.

Research output: Contribution to journalArticle

55 Citations (Scopus)
2015

A novel artificial bee colony based clustering algorithm for categorical data

Ji, J., Pang, W., Zheng, Y., Wang, Z. & Ma, Z., 20 May 2015, In : PloS ONE. 10, 5, 17 p., e0127125.

Research output: Contribution to journalArticle

Open Access
File
16 Citations (Scopus)
5 Downloads (Pure)
2018

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

2020
2019

Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer

Gao, X., Braden, B., Zhang, L., Taylor, S., Pang, W. & Pettdis, M., 5 Dec 2019, (Accepted/In press) Proceedings of the 24th UK Symposium on Case-Based Reasoning.

Research output: Chapter in Book/Report/Conference proceedingChapter

2012

Tensor Discriminant Analysis with Multi-Scale Features for Action Modeling and Categorization

Yu, Z-Z., Jia, C-C., Pang, W. & Zhang, C-Y., Feb 2012, In : IEEE Signal Processing Letters. 19, 2, p. 95-98 4 p.

Research output: Contribution to journalArticle

11 Citations (Scopus)
2016
Open Access
File
8 Downloads (Pure)
2014

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
38 Citations (Scopus)
4 Downloads (Pure)
2019

Explosion gravitation field algorithm with dust sampling for unconstrained optimization

Hu, X., Huang, L., Wang, Y. & Pang, W., 31 Aug 2019, In : Applied Soft Computing. 81, 105500.

Research output: Contribution to journalArticle

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

2020

Swarm Inspired Approaches for K-prototypes clustering

Albalawi, H., Pang, W. & Coghill, G. M., 2020, Advances in Computational Intelligence Systems: Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK. Ju, Z., Yang, L., Yang, C., Gegov, A. & Zhou, D. (eds.). Cham: Springer , p. 201-209 9 p. (Advances in Intelligent Systems and Computing; vol. 1043).

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

2014

Dimension Reduction Using Samples’ Inner Structure Based Graph for Face Recognition

Li, B., Pang, W., Liu, Y., Yu, X., Du, A. & Yu, Z., 3 Jul 2014, In : Mathematical Problems in Engineering. 2014, 11 p., 603025.

Research output: Contribution to journalArticle

Open Access
File
1 Citation (Scopus)
4 Downloads (Pure)
2018

An Evolutionary Computation Based Feature Selection Method for Intrusion Detection

Xue, Y., Jia, W., Zhao, X. & Pang, W., 9 Oct 2018, In : Security and Communication Networks. 2018, 2492956.

Research output: Contribution to journalArticle

Open Access
File
6 Citations (Scopus)
10 Downloads (Pure)

A General Framework for Accelerating Swarm Intelligence Algorithms on FPGAs, GPUs and Multi-core CPUs

Li, D., Huang, L., Wang, K., Pang, W., Zhou, Y. & Zhang, R., 2018, In : IEEE Access. 6, p. 72327 - 72344 19 p.

Research output: Contribution to journalArticle

Open Access
File
5 Downloads (Pure)

Density propagation based adaptive multi-density clustering algorithm

Wang, Y., Pang, W. & Zhou, Y., 18 Jul 2018, In : PloS ONE. 13, 7, p. 1-13 13 p., e0198948.

Research output: Contribution to journalArticle

Open Access
File
4 Citations (Scopus)
6 Downloads (Pure)

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

2016

e-Distance Weighted Support Vector Regression

Wang, Y., Ou, G., Pang, W., Huang, L. & Coghill, G. M., 21 Jul 2016, (Submitted) ArXiv, p. 1-10, 10 p.

Research output: Working paper

2015

QML-AiNet: an immune network approach to learning qualitative differential equation models

Pang, W. & Coghill, G. M., Feb 2015, In : Applied Soft Computing. 27, p. 148-157 10 p.

Research output: Contribution to journalArticle

Open Access
File
5 Citations (Scopus)
5 Downloads (Pure)
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

2015

Qualitative, Semi-quantitative, and Quantitative Simulation of the Osmoregulation System in Yeast

Pang, W. & Coghill, G. M., May 2015, In : BioSystems. 131, p. 40-50 11 p.

Research output: Contribution to journalArticle

Open Access
File
1 Citation (Scopus)
5 Downloads (Pure)

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., 15 Jul 2015, In : Methods. 83, p. 51-62 12 p.

Research output: Contribution to journalArticle

8 Citations (Scopus)
2018

An improved EMD-based dissimilarity Metric for Unsupervised Linear Subspace Learning

Yu, X., Yu, Z., Pang, W., Li, M. & Wu, L., 18 Feb 2018, In : Complexity. 2018, 24 p., 8917393.

Research output: Contribution to journalArticle

Open Access
File
3 Citations (Scopus)
8 Downloads (Pure)

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

2019

FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy

Parmar, M. D., Pang, W., Hao, D., Jang, J., Liupu, W. & Zhou, Y., 3 Jul 2019, In : IEEE Access. 7, p. 89789-89804 16 p.

Research output: Contribution to journalArticle

Open Access
File
2 Citations (Scopus)
2016

A link density clustering algorithm based on automatically selecting density peaks for overlapping community detection

Huang, L., Wang, G., Wang, Y., Pang, W. & Ma, Q., 30 Sep 2016, In : International Journal of Modern Physics B. 30, 24, 15 p., 1650167.

Research output: Contribution to journalArticle

Open Access
File
11 Citations (Scopus)
6 Downloads (Pure)
2012

Incremental multi-linear discriminant analysis using canonical correlations for action recognition

Jia, C-C., Wang, S-J., Peng, X-J., Pang, W., Zhang, C-Y., Zhou, C. & Yu, Z-Z., 15 Apr 2012, In : Neurocomputing. 83, -, p. 56-63 8 p.

Research output: Contribution to journalArticle

12 Citations (Scopus)
2015

Sherlock: a Semi-Automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure

Lin, C., Liu, D., Pang, W. & Wang, Z., Dec 2015, In : Cognitive Computation. 7, 6, p. 667-679 13 p.

Research output: Contribution to journalArticle

Open Access
File
9 Citations (Scopus)
7 Downloads (Pure)
2014

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
14 Citations (Scopus)
6 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
1 Citation (Scopus)
36 Downloads (Pure)
2018

A Self-adaptive Artificial Bee Colony Algorithm with Symmetry Initialization

Xue, Y., Jiang, J., Ma, T., Liu, J., Geng, H. & Pang, W., 2018, In : Journal of Internet Technology. 19, 5, p. 1347-1362 16 p.

Research output: Contribution to journalArticle

Open Access
File
3 Citations (Scopus)
2014

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
11 Downloads (Pure)
2012

Non-constructive interval simulation of dynamic systems

Pang, W., Coghill, G. M. & Bruce, A. M., Jun 2012, Aberdeen: Department of Computing Science, University of Aberdeen. 44 p. (Technical Report ABDN–CS–12–02)

Research output: Book/ReportOther Report

Open Access
File
15 Downloads (Pure)
2016

Link community detection based on line graphs with a novel link similarity measure

Wang, G., Huang, L., Wang, Y., Pang, W. & Ma, Q., 10 Mar 2016, In : International Journal of Modern Physics B. 30, 6, 18 p., 1650023.

Research output: Contribution to journalArticle

2 Citations (Scopus)

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
4 Downloads (Pure)
2012

QML-Morven: A Novel Framework for Learning Qualitative Models

Pang, W. & Coghill, G. M., Jun 2012, Aberdeen: Department of Computing Science, University of Aberdeen. 37 p. (Technical Report ABDN–CS–12–03)

Research output: Book/ReportOther Report

Open Access
File
5 Downloads (Pure)

A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data

Ji, J., Pang, W., Han, X., Zhou, C. & Wang, Z., Jun 2012, In : Knowledge-Based Systems. 30, p. 129-135 7 p.

Research output: Contribution to journalArticle

96 Citations (Scopus)

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

2017

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
2 Citations (Scopus)
13 Downloads (Pure)
2018

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

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

2016

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
2 Citations (Scopus)
5 Downloads (Pure)
2019

Towards machine learning approaches for predicting the self-healing efficiency of materials

Wang, W., Moreau, N. G., Yuan, Y., Race, P. R. & Pang, W., Oct 2019, In : Computational Materials Science. 168, p. 180-187 8 p.

Research output: Contribution to journalArticle

Open Access
File
1 Downloads (Pure)
2013

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

1 Citation (Scopus)
2018

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
8 Downloads (Pure)
2015

An initialization method for clustering mixed numeric and categorical data based on the density and distance

Ji, J., Pang, W., Zheng, Y., Wang, Z. & Ma, Z., Nov 2015, In : International Journal of Pattern Recognition and Artificial Intelligence. 29, 7, 16 p., 1550024.

Research output: Contribution to journalArticle

8 Citations (Scopus)
2014
3 Citations (Scopus)

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