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• 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

  Research output: Contribution to journal › Article › peer-review

  • Complex networks
  • Experiments
  2 Citations (Scopus)

• Partitioning Clustering Based on Support Vector Ranking

  Peng, Q., Wang, Y., Ou, G., Tian, Y., Huang, L. & Pang, W., 2016, ADMA 2016: Advanced Data Mining and Applications. Li, J., Li, X., Wang, S., Li, J. & Sheng, Q. Z. (eds.). Springer International Publishing, p. 726-737 12 p. (Lecture Notes in Computer Science; vol. 10086).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Sorting
  • Clustering algorithms
  • Costs

• PEPro: A Screening Pipeline for Accurate Prediction of Excretory Proteins in Urine

  Du, W., Wang, Y. & Pang, W., 2016.

  Research output: Working paper

• 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, ADMA 2016: Advanced Data Mining and Applications . Li, J., Li, X., Wang, S., Li, J. & Sheng, Q. Z. (eds.). Springer International Publishing, p. 714-725 12 p. ( Lecture Notes in Computer Science ; vol. 10086).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Pipelines
  • Proteins
  • Biomarkers
  • Websites
  1 Citation (Scopus)

• The social sciences and the web: From ‘Lurking’ to interdisciplinary ‘Big Data’ research

  Bone, J., Emele, C. D., Abdul, A., Coghill, G. & Pang, W., 2 Mar 2016, In: Methodological Innovations. 9, p. 1-14 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • social scientist
  • social science
  • social media
  • computer scientist
  • research interest
  21 Downloads (Pure)
• 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, p. 38-41. 4 p.

  Research output: Contribution to conference › Paper › peer-review

  • Anomaly detection
  • Ad hoc networks
  • Specifications

• 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, 1550024.

  Research output: Contribution to journal › Article › peer-review

  • Clustering algorithms
  • Experiments
  10 Citations (Scopus)

• An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing

  Wu, Z., Pang, W. & Coghill, G. M., Dec 2015, In: Cognitive Computation. 7, 6, p. 637-651 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Simulated annealing
  • Systems Biology
  2 Citations (Scopus)

  12 Downloads (Pure)

• An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems

  Wu, Z., Pang, W. & Coghill, G. M., Jun 2015, In: Soft Computing. 19, 6, p. 1595-1610 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Simulated annealing
  • Topology
  7 Citations (Scopus)

  4 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  • Clustering algorithms
  • Experiments
  17 Citations (Scopus)

• A novel cluster center initialization method for the k-prototypes algorithms using centrality and distance

  Ji, J., Pang, W., Zheng, Y., Wang, Z., Ma, Z. & Zhang, L., 2015, In: Applied Mathematics and Information Sciences. 9, 6, p. 2933-2942 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Experiments
  13 Citations (Scopus)

• A novel object tracking algorithm based on compressed sensing and entropy of information

  Ma, D., Yu, Z., Yu, J. & Pang, W., 22 Jun 2015, In: Mathematical Problems in Engineering. 2015, 628101.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Lighting
  1 Citation (Scopus)

• Automatically Predicting Quiz Difficulty Level Using Similarity Measures

  Lin, C., Liu, D., Pang, W. & Apeh, E., Oct 2015, K-CAP 2015: Proceedings of the 8th International Conference on Knowledge Capture. Association for Computing Machinery, 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Linked data
  • Data description
  • Semantics
  • Experiments
  2 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., Jan 2015, 2014 IEEE International Conference on Bioinformatics and Biomedicine. IEEE, 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 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 journal › Article › peer-review

  • Proteins
  • Escherichia coli
  • Yeast
  • Computational methods
  • RNA
  15 Citations (Scopus)

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

  Luo, C., Pang, W., Wang, Z. & Lin, C., 29 Jan 2015, 2014 IEEE International Conference on Data Mining. 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Collaborative filtering
  49 Citations (Scopus)

• Mode-Driven Volume Analysis Based on Correlation of Time Series

  Jia, C., Pang, W. & Fu, Y., 19 Mar 2015, ECCV 2014: Computer Vision - ECCV 2014 Workshops. Agapito, L., Bronstein, M. M. & Rother, C. (eds.). Springer, p. 818-833 16 p. (Lecture Notes in Computer Science; vol. 8925).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Tensors
  • Time series
  • Discriminant analysis
  • Face recognition
  • Experiments
  1 Citation (Scopus)

• Multimodal Action Recognition

  Jia, C., Pang, W. & Fu, Y., 2015, Human Activity Recognition and Prediction. Fu, Y. (ed.). Switzerland: Springer International Publishing, p. 71-85 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• 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 journal › Article › peer-review

  Open Access

  File

  • Differential equations
  • Scalability
  5 Citations (Scopus)

  7 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Yeast
  • Osmotic Pressure
  • Dynamical systems
  2 Citations (Scopus)

  16 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  • Linked data
  • Data description
  • Semantics
  • Experiments
  16 Citations (Scopus)

• Specific biomarkers: detection of cancer biomarkers through high-throughput transcriptomics data

  Du, W., Cao, Z., Wang, Y., Zhou, F., Pang, W., Tian, Y. & Liang, Y., Dec 2015, In: Cognitive Computation. 7, 6, p. 652-666 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Tumor Biomarkers
  • Throughput
  • Cell proliferation
  • Cell death
  • Metabolism
  2 Citations (Scopus)
• 2014

  An immune network approach to learning qualitative models of biological pathways

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

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Detoxification
  • Antibodies
  • Model checking
  • Differential equations
  1 Citation (Scopus)

• Building recognition on subregion’s multi-scale gist feature extraction and corresponding columns information based dimensionality reduction

  Li, B., Pang, W., Liu, Y., Yu, X., Du, A., Zhang, Y. & Yu, Z., 27 Apr 2014, In: Journal of Applied Mathematics. 2014, 898705.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Feature extraction
  • Lighting
  • Experiments
  2 Citations (Scopus)

  6 Downloads (Pure)

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

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

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Face recognition
  1 Citation (Scopus)

  2 Downloads (Pure)

• Fuzzy qualitative simulation with multivariate constraints

  Pang, W. & Coghill, G. M., 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiments

• QML-Morven: A Novel Framework for Learning Qualitative Differential Equation Models using Both Symbolic and Evolutionary Approaches

  Pang, W. & Coghill, G. M., Sep 2014, In: Journal of Computational Science. 5, 5, p. 795-808 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Differential equations
  • Scalability
  • Experiments
  3 Citations (Scopus)

• Semi-supervised clustering on heterogeneous information networks

  Luo, C., Pang, W. & Wang, Z., May 2014, PAKDD 2014: Advances in Knowledge Discovery and Data Mining . Tseng, V. S., Ho, T. B., 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 proceeding › Conference contribution
  18 Citations (Scopus)
• 2013

  An Immune Network Approach to Qualitative System Identification of Biological Pathways

  Pang, W. & Coghill, G. M., 2013, p. 77-84. 8 p.

  Research output: Contribution to conference › Paper › peer-review

• Stepwise modelling of biochemical pathways based on qualitative model learning

  Wu, Z., Pang, W. & Coghill, G. M., 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI). 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Biochemistry
  • Topology
  • Chemical analysis
  1 Citation (Scopus)
• 2012

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

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

  Research output: Contribution to journal › Article › peer-review

  • Clustering algorithms
  • Experiments
  111 Citations (Scopus)

• 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 journal › Article › peer-review

  • Candida glabrata
  • Candida
  • Candida albicans
  • oxidative stress
  • animal pathogens
  58 Citations (Scopus)

• Extended kernel subset analysis for qualitative model learning

  Pang, W. & Coghill, G. M., 2012, 2012 12th UK Workshop on Computational Intelligence (UKCI). 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Testbeds
  • Experiments
  • Set theory

• 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 journal › Meeting abstract › peer-review

• 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-G. & Yu, Z-Z., 15 Apr 2012, In: Neurocomputing. 83, p. 56-63 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Discriminant analysis
  • Tensors
  • Feature extraction
  • Data structures
  • Classifiers
  13 Citations (Scopus)

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

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

  Research output: Contribution to journal › Article › peer-review

  • Discriminant analysis
  • Tensors
  • Decomposition
  • Experiments
  • Classifiers
  11 Citations (Scopus)
• 2011

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

  Pang, W. & Coghill, G. M., 2011, p. 43-48. 6 p.

  Research output: Contribution to conference › Paper › peer-review

  • Learning systems
  • Experiments

• An immune-inspired approach to qualitative system identification of biological pathways

  Pang, W. & Coghill, G. M., Mar 2011, In: Natural Computing. 10, 1, p. 189-207 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Identification (control systems)
  • Learning systems
  • Detoxification
  • Scalability
  7 Citations (Scopus)