Wei Pang
Orcid: 0000-0002-1761-6659Affiliations:
- Heriot-Watt University, School of Mathematical and Computer Sciences, Edinburgh, UK
- University of Aberdeen, Department of Computing Science, UK (PhD 2009)
- Jilin University, College of Computer Science and Technology, China (former)
According to our database1,
Wei Pang
authored at least 108 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
A novel Physarum-inspired competition algorithm for discrete multi-objective optimisation problems.
Soft Comput., October, 2023
Correction to: ErythroidCounter: an automatic pipeline for erythroid cell detection, identification and counting based on deep learning.
Multim. Tools Appl., July, 2023
An adaptive mutual K-nearest neighbors clustering algorithm based on maximizing mutual information.
Pattern Recognit., May, 2023
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time.
Inf. Fusion, April, 2023
Feature Correspondences Increase and Hybrid Terms Optimization Warp for Image Stitching.
Entropy, January, 2023
Bridging the gap between mechanistic biological models and machine learning surrogates.
PLoS Comput. Biol., 2023
Multim. Tools Appl., 2023
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.
CoRR, 2023
CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics.
CoRR, 2023
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy.
CoRR, 2023
A survey on physarum polycephalum intelligent foraging behaviour and bio-inspired applications.
Artif. Intell. Rev., 2023
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ErythroidCounter: an automatic pipeline for erythroid cell detection, identification and counting based on deep learning.
Multim. Tools Appl., 2022
Knowl. Based Syst., 2022
All particles driving particle swarm optimization: Superior particles pulling plus inferior particles pushing.
Knowl. Based Syst., 2022
IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references.
J. King Saud Univ. Comput. Inf. Sci., 2022
Multiscale increment entropy: An approach for quantifying the physiological complexity of biomedical time series.
Inf. Sci., 2022
Inf. Sci., 2022
Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information.
IEEE Access, 2022
Early detection of oesophageal cancer through colour contrast enhancement for data augmentation.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2022
2021
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks.
CoRR, 2021
IEEE Access, 2021
The Accountability Fabric: A Suite of Semantic Tools For Managing AI System Accountability and Audit.
Proceedings of the ISWC 2021 Posters, 2021
Explainable Artificial Intelligence in Healthcare: Opportunities, Gaps and Challenges and a Novel Way to Look at the Problem Space.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Which hyperparameters to optimise?: an investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches.
Memetic Comput., 2020
Neurocomputing, 2020
ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures.
CoRR, 2020
Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers.
Appl. Soft Comput., 2020
GANs-Based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning.
IEEE Access, 2020
Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution.
IEEE Access, 2020
IEEE Access, 2020
Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020
Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease.
Proceedings of the 7th IEEE/ACM International Conference on Big Data Computing, 2020
2019
异构信息网络中基于元结构的协同过滤算法 (MetaStruct-CF: A Meta Structure Based Collaborative Filtering Algorithm in Heterogeneous Information Networks).
计算机科学, 2019
J. Electronic Imaging, 2019
LatinPSO: An algorithm for simultaneously inferring structure and parameters of ordinary differential equations models.
Biosyst., 2019
Explosion gravitation field algorithm with dust sampling for unconstrained optimization.
Appl. Soft Comput., 2019
FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy.
IEEE Access, 2019
Proceedings of the Advances in Computational Intelligence Systems, 2019
Proceedings of the Advances in Computational Intelligence Systems, 2019
A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour.
Proceedings of the 2019 Conference on Artificial Life, 2019
Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Inferring structure and parameters of dynamic systems using particle swarm optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
A physarum-inspired competition algorithm for solving discrete multi-objective optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
2018
Secur. Commun. Networks, 2018
An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning.
Complex., 2018
A General Framework for Accelerating Swarm Intelligence Algorithms on FPGAs, GPUs and Multi-Core CPUs.
IEEE Access, 2018
Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks.
Proceedings of the Advances in Computational Intelligence Systems, 2018
A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks.
Proceedings of the SICSA Workshop on Reasoning, 2018
Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 11th International Conference on Natural Language Generation, 2018
2017
A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the 4th International Conference on Systems and Informatics, 2017
Proceedings of the 4th International Conference on Systems and Informatics, 2017
2016
Proceedings of the Cloud Computing and Security - Second International Conference, 2016
Proceedings of the Genetic and Evolutionary Computation Conference, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
2015
An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems.
Soft Comput., 2015
An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance.
Int. J. Pattern Recognit. Artif. Intell., 2015
An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing.
Cogn. Comput., 2015
Sherlock: A Semi-automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure.
Cogn. Comput., 2015
Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data.
Cogn. Comput., 2015
Qualitative, semi-quantitative, and quantitative simulation of the osmoregulation system in yeast.
Biosyst., 2015
QML-AiNet: An immune network approach to learning qualitative differential equation models.
Appl. Soft Comput., 2015
Proceedings of the 8th International Conference on Knowledge Capture, 2015
Proceedings of the 3rd International Workshop on Collaborative Online Organizations, 2015
2014
QML-Morven: A novel framework for learning qualitative differential equation models using both symbolic and evolutionary approaches.
J. Comput. Sci., 2014
Building Recognition on Subregion's Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction.
J. Appl. Math., 2014
Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations.
CoRR, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Proceedings of the 13th UK Workshop on Computational Intelligence, 2013
2012
Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization.
IEEE Signal Process. Lett., 2012
Corrigendum to 'A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data' [Knowledge-Based Systems, 30 (2012) 129-135].
Knowl. Based Syst., 2012
Knowl. Based Syst., 2012
Incremental multi-linear discriminant analysis using canonical correlations for action recognition.
Neurocomputing, 2012
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012
2011
An immune-inspired approach to qualitative system identification of biological pathways.
Nat. Comput., 2011
2010
Learning Qualitative Differential Equation models: a survey of algorithms and applications.
Knowl. Eng. Rev., 2010
A decision support system using soft computing for modern international container transportation services.
Appl. Soft Comput., 2010
Proceedings of the Artificial Immune Systems, 9th International Conference, 2010
Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010
2009
An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal.
Proceedings of the Artificial Immune Systems, 8th International Conference, 2009
2007
Modified clonal selection algorithm for learning qualitative compartmental models of metabolic systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2006
Proceedings of the Computational Science, 2006
2004
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004