Wei Pang

Research output

Research output per year 2002 2021

• 55 Article
• 40 Conference contribution
• 7 Paper
• 3 Chapter
• 6 More
  • 2 Conference article
  • 2 Working paper
  • 1 Meeting abstract
  • 1 Review article

Research output per year

Research output per year

Search results

• 2021

  A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data

  Ji, J., Li, R., Pang, W., He, F., Feng, G. & Zhao, X., 4 Feb 2021, In: IEEE Access. 9, p. 24913-24924

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

  Open Access

  File
  11 Downloads (Pure)
• 2020

  A Multi-Modal Deep Learning approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer’s Disease

  Rana, S., Ma, X., Wolverson, E. & Pang, W., 23 Oct 2020, (Accepted/In press) 7th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. IEEE

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

• An Efficient v-minimum Absolute Deviation Distribution Regression Machine

  Wang, Y., Wang, Y., Song, Y., Xie, X., Huang, L., Pang, W. & Coghill, G. M., 2020, In: IEEE Access. 8, p. 85533-85551 19 p.

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

  Open Access

  File
  8 Downloads (Pure)

• A Systematic Density-based Clustering Method Using Anchor Points

  Wang, Y., Wang, D., Pang, W., Miao, C., Tan, A-H. & Zhou, Y., 4 Aug 2020, In: Neurocomputing. 400, p. 352-370 19 p.

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

  • Anchors
  • Cluster Analysis
  • Datasets
  • Facial Recognition
  • Unsupervised learning
  4 Citations (Scopus)

• Cancer genotypes prediction and associations analysis from imaging phenotypes: a survey on radiogenomics

  Wang, Y., Wang, Y., Guo, C., Xie, X., Liang, S., Zhang, R., Pang, W. & Huang, L., Sep 2020, In: Biomarkers in Medicine. 14, 12, p. 1151-1164 14 p.

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

  • Deep Learning
  • Deep learning
  • Imaging techniques
  • Genotype
  • Phenotype

• Clustering Mixed Numeric and Categorical Data with Cuckoo Search

  Ji, J., Pang, W., Li, Z., He, F., Feng, G. & Zhao, X., 2020, In: IEEE Access. 8, p. 30988-31003 16 p.

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

  Open Access

  File

  • Clustering algorithms
  • Global optimization
  • Data mining
  • Experiments
  3 Citations (Scopus)

  13 Downloads (Pure)

• Clustering Single-cell RNA-sequencing Data based on Matching Clusters Structures

  Wang, Y., Zhou, Y., Pang, W., Liang, Y. & Wang, S., 15 Feb 2020, In: Tehnički vjesnik – Technical Gazette. 27, 1, p. 89-95 7 p.

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

  Open Access

  File

  • RNA
  • Labels
  • K-means clustering
  • Merging
  7 Downloads (Pure)

• Deep Ensemble Learning for Human Action Recognition in Still Images

  Yu, X., Zhang, Z., Wu, L., Pang, W., Chen, H., Yu, Z. & Li, B., 31 Jan 2020, In: Complexity. 2020, 23 p., 9428612.

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

  Open Access

  File
  5 Citations (Scopus)

  13 Downloads (Pure)

• Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels

  Wang, W., Pang, W., Bingham, P. A., Mania, M., Chen, T-Y. & Perry, J. J., 3 Sep 2020, 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 9185574

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

  Open Access

  File

  • Glass
  • Polymers
  • Gradient methods
  • Analysis of variance (ANOVA)
  • Support vector machines
  23 Downloads (Pure)

• GANs-Based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning

  Zeng, Q., Ma, X., Cheng, B., Zhou, E. & Pang, W., 2020, In: IEEE Access. 8, p. 172882-172891 10 p.

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

  Open Access

  File

  • Deep learning
  • Computational efficiency
  5 Downloads (Pure)

• Goods Consumed during Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution

  Yang, W., Wang, D., Pang, W., Tan, A-H. & Zhou, Y., 2020, In: IEEE Access. 8, p. 110336-110350 15 p.

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

  Open Access

  File

  • Vehicle routing
  • Benchmarking
  • Water
  9 Downloads (Pure)

• Inferring Structure and Parameters of Dynamic System Models simultaneously using Swarm Intelligence Approaches

  Usman, M., Pang, W. & Coghill, G. M., Sep 2020, In: Memetic Computing. 12, 3, p. 267-282 16 p.

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

  Open Access

  File

  • Swarm intelligence
  • Particle swarm optimization (PSO)
  • Dynamical systems
  • Sampling
  • Genetic algorithms
  7 Downloads (Pure)

• Mammographic image classification with deep fusion learning

  Yu, X., Pang, W., Xu, Q. & Liang, M., 1 Sep 2020, In: Scientific Reports. 10, 14361.

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

  Open Access

  File

  • Image classification
  • Tumors
  • Fusion reactions
  • Electric fuses
  • Convolution
  3 Downloads (Pure)

• McDPC: multi-center density peak clustering

  Wang, Y., Wang, D., Zhang, X., Pang, W., Miao, C., Tan, A-H. & Zhou, Y., Sep 2020, In: Neural Computing and Applications. 32, 17, p. 13465-13478 14 p.

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

  Open Access

  File

  • Clustering algorithms
  • Image segmentation
  • Experiments
  3 Citations (Scopus)

• Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers

  Xue, Y., Tang, T., Pang, W. & Liu, A. X., Mar 2020, In: Applied Soft Computing. 88, 106031.

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

  Open Access

  • Particle swarm optimization (PSO)
  • Feature extraction
  • Classifiers
  • Evolutionary algorithms
  • Machine learning
  8 Citations (Scopus)

• Spatial imputation for air pollutants data sets via low rank matrix completion algorithm

  Liu, X., Wang, X., Zou, L., Xia, J. & Pang, W., Jun 2020, In: Environment International. 139, 105713.

  Research output: Contribution to journal › Review article › peer-review

  Open Access

  File

  • Air Pollutants
  • Datasets
  • Spatial Analysis
  • Air Pollution
  • Correlation of Data
  1 Citation (Scopus)

  17 Downloads (Pure)

• Transfer learning for endoscopy disease detection and segmentation with MASk-RCNN benchmark architecture

  Rezvy, S., Zebin, T., Braden, B., Pang, W., Taylor, S. & Gao, X. W., 23 Apr 2020, In: CEUR Workshop Proceedings. 2595, p. 68-72 5 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  File

  • Endoscopy
  • Semantics
  • Masks
  • Pipelines
  7 Downloads (Pure)
• 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. MIT Press, p. 203-210 8 p. (Artificial Life Conference Proceedings; no. 31).

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

  Open Access

  File

  • Cellular automata
  • Multiobjective optimization
  • Brain
  • Wireless sensor networks
  • Mathematical models
  6 Downloads (Pure)

• 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 '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, USA: Association for Computing Machinery, p. 195-196 2 p.

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

  • Multiobjective optimization
  • Cellular automata
  • Evolutionary algorithms
  1 Citation (Scopus)

• 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., 22 Nov 2019, (Accepted/In press) Proceedings of the 24th UK Symposium on Case-Based Reasoning.

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

  • Case based reasoning
  • Deep learning
  • Testing
  • Decision making
  • Endoscopy

• Data-driven two-layer visual dictionary structure learning

  Yu, X., Yu, Z., Wu, L., Pang, W. & Lin, C., 8 Mar 2019, In: Journal of Electronic Imaging. 28, 2, 023006.

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

  • Glossaries
  • Deep learning
  • Big data
  2 Citations (Scopus)

• DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence

  Byla, E. & Pang, W., 30 Aug 2019, Advances in Computational Intelligence Systems. UKCI 2019. . Ju, Z., Yang, L., Yang, C., Gegov, A. & Zhou, D. (eds.). Springer, p. 119-130 12 p. (Advances in Intelligent Systems and Computing; vol. 1043).

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

  • Swarm intelligence
  • Ant colony optimization
  • Neural networks
  • Reusability
  • Deep learning
  4 Citations (Scopus)

• Explosion gravitation field algorithm with dust sampling for unconstrained optimization

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

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

  • Dust
  • Explosions
  • Gravitation
  • Sampling
  • Astronomy

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

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

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

  Open Access

  File

  • Merging
  • Clustering algorithms
  • Specifications
  • Experiments
  6 Citations (Scopus)

  19 Downloads (Pure)

• 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 '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. New York, USA: Association for Computing Machinery, p. 101-102 2 p.

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

  • Particle swarm optimization (PSO)
  • Dynamical systems
  • Sampling
  • Time series
  • Costs
  1 Citation (Scopus)

• LatinPSO: An algorithm for simultaneously inferring structure and parameters of ordinary differential equations models

  Tian, X., Pang, W., Wang, Y., Guo, K. & Zhou, Y., Aug 2019, In: BioSystems. 182, p. 8-16 9 p.

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

  • HIV
  3 Citations (Scopus)

• Swarm Inspired Approaches for K-prototypes clustering

  Albalawi, H., Pang, W. & Coghill, G. M., 30 Aug 2019, Advances in Computational Intelligence Systems. UKCI 2019. . Ju, Z., Yang, L., Yang, C., Gegov, A. & Zhou, D. (eds.). Springer, p. 201-209 9 p. ( Advances in Intelligent Systems and Computing; vol. 1043).

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

  • Clustering algorithms
  • Machine learning
  • Data mining

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

  Xu, X., Gao, X., Xu, Z., Zhao, X., Pang, W. & Zhou, H., 2019, Artificial Intelligence: ICAI 2019. Singapore: Springer, p. 66-79 14 p. (Communications in Computer and Information Science; vol. 1001).

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

  • Traffic congestion
  • Deep learning
  • Spatial distribution
  1 Citation (Scopus)

• 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 journal › Article › peer-review

  Open Access

  File

  • Self-healing materials
  • Machine learning
  • Hybrid materials
  • Repair
  • Experiments
  3 Citations (Scopus)

  7 Downloads (Pure)

• Towards Real-Time Detection of Squamous PreCancers from Oesophageal Endoscopic Videos

  Gao, X., Braden, B., Taylor, S. & Pang, W., 7 Oct 2019, (Accepted/In press) 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE

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

  Open Access

  File

  • Epithelial Cells
  • Masks
  • Deep learning
  • Graphics processing unit
  • Pixels
  30 Downloads (Pure)

• 异构信息网络中基于元结构的协同过滤算法

  Wang, X., Pang, W. & Wang, Z., Jun 2019, In: Computer Science. 46, 6A, p. 397-401 5 p.

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

  Open Access

  File

  • Collaborative filtering
  • Semantics
  • Experiments
  11 Downloads (Pure)
• 2018

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

  Karatu, M. T., Pang, W. & Coghill, G. M., 30 Jul 2018, In: CEUR Workshop Proceedings. 2151, S6.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

• 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., 20 Nov 2018, In: IEEE Access. 6, p. 72327-72344 18 p.

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

  Open Access

  File

  • Swarm intelligence
  • Graphics processing unit
  • Program processors
  • Field programmable gate arrays (FPGA)
  • Computer hardware
  2 Citations (Scopus)

  27 Downloads (Pure)

• 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 journal › Article › peer-review

  Open Access

  File

  • Intrusion detection
  • Evolutionary algorithms
  • Feature extraction
  • Wireless sensor networks
  • Network security
  13 Citations (Scopus)

  9 Downloads (Pure)

• 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, 8917393.

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

  Open Access

  File

  • Earth (planet)
  • Feature extraction
  • Experiments
  4 Citations (Scopus)

  4 Downloads (Pure)

• A Self-adaptive Artificial Bee Colony Algorithm with Symmetry Initialization

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

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

  • Evolutionary algorithms
  3 Citations (Scopus)

• A Self-adaptive Fireworks Algorithm for Classification Problems

  Xue, Y., Zhao, B., Ma, T. & Pang, W., 25 Jul 2018, In: IEEE Access. 6, p. 44406-44416 11 p.

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

  Open Access

  • Adaptive algorithms
  • Swarm intelligence
  • Linear equations
  • Global optimization
  • Evolutionary algorithms
  10 Citations (Scopus)

• CLEMI-imputation evaluation

  Chapman, A., Pang, W. & Coghill, G., 23 Aug 2018, 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI). IEEE, 6 p.

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

  • Machine learning
  • Testing

• Density propagation based adaptive multi-density clustering algorithm

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

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

  Open Access

  File

  • Clustering algorithms
  • Experiments
  5 Citations (Scopus)

  2 Downloads (Pure)

• Gravitation Field Algorithm with Optimal Detection for Unconstrained Optimization

  Huang, L., Hu, X., Wang, Y., Zhang, F., Liu, Z. & Pang, W., 8 Jan 2018, 2017 4th International Conference on Systems and Informatics (ICSAI). IEEE, p. 1328-1333 6 p.

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

  Open Access

  File

  • Gravitation
  • Astronomy
  • Planets
  • Dust
  • Particle swarm optimization (PSO)
  1 Citation (Scopus)

  7 Downloads (Pure)

• Large Margin Distribution Machine Recursive Feature Elimination

  Ou, G., Wang, Y., Pang, W. & Coghill, G. M., 8 Jan 2018, 2017 4th International Conference on Systems and Informatics (ICSAI). IEEE, p. 1518-1523 6 p.

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

  • Feature extraction
  • Experiments
  5 Citations (Scopus)

• Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks

  Awad, A., Pang, W. & Coghill, G. M., 2018, UKCI 2018: Advances in Computational Intelligence Systems. Lotfi, A., Bouchachia, H., Gegov, A., Langensiepen, C. & McGinnity, M. (eds.). Springer, p. 327-338 12 p. (Advances in Intelligent Systems and Computing; vol. 840).

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

  • Restoration
  • Wireless sensor networks
  • Sensors
  • Internet of things
  • Base stations
  1 Citation (Scopus)

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

  Awad, A., Pang, W. & Coghill, G., 2018, iCETiC 2018: Emerging Technologies in Computing. 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; vol. 200).

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

  • Sensor nodes
  • Sensors
  • Wireless sensor networks
  1 Citation (Scopus)

• 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. IARIA, p. 7-13 7 p.

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

  • Machine learning
  • Testing

• Towards making NLG a voice for interpretable Machine Learning

  Forrest, J., Sripada, S., Pang, W. & Coghill, G., Nov 2018, Proceedings of the 11th International Conference on Natural Language Generation. Association for Computational Linguistics, p. 177–182 6 p.

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

  Open Access

  • learning
  • comprehension
  • rating
  2 Citations (Scopus)

• ε-Distance Weighted Support Vector Regression

  Ou, G., Wang, Y., Huang, L., Pang, W. & Coghill, G. M., 2018, PAKDD 2018: Advances in Knowledge Discovery and Data Mining. Phung, D., Tseng, V. S., Webb, G. I., Ho, B., Ganji, M. & Rashidi, L. (eds.). Springer, p. 209-220 ( Lecture Notes in Artificial Intelligence ; vol. 10937).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
  1 Citation (Scopus)
• 2017

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

  Ma, M., Pang, W., Huang, L. & Wang, Z., 2017, PAKDD 2017: Advances in Knowledge Discovery and Data Mining . Kim, J., Shim, K., Cao, L., Lee, J-G., Lin, X. & Moon, Y-S. (eds.). Springer, p. 750-761 12 p. (Lecture Notes in Computer Science; vol. 10234).

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

  • Chemical analysis
• 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, 1650167.

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

  Open Access

  File

  • Clustering algorithms
  • Experiments
  14 Citations (Scopus)

  1 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, ICCCS 2016: Cloud Computing and Security. Sun, X., Liu, A., Chao, H-C. & Bertino, E. (eds.). Springer, p. 206-216 11 p. (Lecture Notes in Computer Science; vol. 10039).

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

  • Cloud computing
  • Servers
  • Data storage equipment
  • Electric power transmission networks
  • Global positioning system
  2 Citations (Scopus)

• e-Distance Weighted Support Vector Regression

  Wang, Y., Ou, G., Pang, W., Huang, L. & Coghill, G. M., 2016, arXiv, p. 1-10, 10 p.

  Research output: Working paper