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ORCIDWei Pang 0001
Person information
- affiliation: Heriot-Watt University, School of Mathematical and Computer Sciences, Edinburgh, UK
- affiliation (PhD 2009): University of Aberdeen, Department of Computing Science, UK
- affiliation (former): Jilin University, College of Computer Science and Technology, China
Other persons with the same name
- Wei Pang — disambiguation page
- Wei Pang 0002
![[0000-0003-1580-205X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1580-205X")
— Tianjin University, School of Electrical and Information Engineering, China - Wei Pang 0003 — Southeast University, National ASIC System Engineering Research Center, Nanjing, China
- Wei Pang 0004 — Tianjin University, College of Precision Instrument and Opto-Electronics Engineering, Tianjin, China
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Books and Theses
- 2009
[b1]Wei Pang:
QML-Morven : a framework for learning qualitative models. University of Aberdeen, UK, 2009
Journal Articles
- 2024
- [j54]Lan Huang, Xingyu Bai, Jia Zeng, Mengqiang Yu, Wei Pang, Kangping Wang:
FAM: Improving columnar vision transformer with feature attention mechanism. Comput. Vis. Image Underst. 242: 103981 (2024) - [j53]Muhammad Hassan, Yan Wang, Di Wang, Wei Pang, Daixi Li, You Zhou, Dong Xu, Sami Ur Rahman, Amin ur Rahman, Ahmed Fateh Ameen, Peiwu Qin:
Deep learning model for human-intuitive shoeprint reconstruction. Expert Syst. Appl. 249: 123704 (2024) - 2023
- [j52]AbuBakr Awad, Wei Pang, David Lusseau, George M. Coghill:
A survey on physarum polycephalum intelligent foraging behaviour and bio-inspired applications. Artif. Intell. Rev. 56(1): 1-26 (2023) - [j51]Yizhi Cong, Yan Wang, Wenju Hou, Wei Pang:
Feature Correspondences Increase and Hybrid Terms Optimization Warp for Image Stitching. Entropy 25(1): 106 (2023) - [j50]Xiaohong W. Gao, Stephen Taylor, Wei Pang, Rui Hui, Xin Lu, Barbara Braden:
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time. Inf. Fusion 92: 64-79 (2023) - [j49]Lan Huang, Shiqi Sun, Jia Zeng, Wencong Wang, Wei Pang, Kangping Wang:
U-DARTS: Uniform-space differentiable architecture search. Inf. Sci. 628: 339-349 (2023) - [j48]Bin Li, Yi Lu, Wei Pang, Huixin Xu:
Image Colorization using CycleGAN with semantic and spatial rationality. Multim. Tools Appl. 82(14): 21641-21655 (2023) - [j47]You Zhou, Ye Wang, Junhui Wu, Muhammad Hassan, Wei Pang, Lili Lv, Liupu Wang, Honghua Cui:
Correction to: ErythroidCounter: an automatic pipeline for erythroid cell detection, identification and counting based on deep learning. Multim. Tools Appl. 82(17): 27077 (2023) - [j46]Ioana M. Gherman, Zahraa S. Abdallah, Wei Pang, Thomas E. Gorochowski, Claire S. Grierson, Lucia Marucci:
Bridging the gap between mechanistic biological models and machine learning surrogates. PLoS Comput. Biol. 19(4) (2023) - [j45]Yizhang Wang, Wei Pang, Zhixiang Jiao:
An adaptive mutual K-nearest neighbors clustering algorithm based on maximizing mutual information. Pattern Recognit. 137: 109273 (2023) - [j44]AbuBakr Awad, George M. Coghill, Wei Pang:
A novel Physarum-inspired competition algorithm for discrete multi-objective optimisation problems. Soft Comput. 27(20): 14699-14719 (2023) - 2022
- [j43]Iman Naja, Milan Markovic, Peter Edwards, Wei Pang, Caitlin Doyle Cottrill, Rebecca Williams:
Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information. IEEE Access 10: 74383-74411 (2022) - [j42]Xue Wang, Xiaofeng Liu, Wei Pang, Aimin Jiang:
Multiscale increment entropy: An approach for quantifying the physiological complexity of biomedical time series. Inf. Sci. 586: 279-293 (2022) - [j41]Muhammad Hassan, Yan Wang, Di Wang, Wei Pang, Kangping Wang, Daixi Li, You Zhou, Dong Xu:
Restorable-inpainting: A novel deep learning approach for shoeprint restoration. Inf. Sci. 600: 22-42 (2022) - [j40]Muhammad Hassan, Yan Wang, Wei Pang, Di Wang, Daixi Li, You Zhou, Dong Xu:
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. 34(6 Part A): 2743-2757 (2022) - [j39]Qing Liu, Jin Li, Haipeng Ren, Wei Pang:
All particles driving particle swarm optimization: Superior particles pulling plus inferior particles pushing. Knowl. Based Syst. 249: 108849 (2022) - [j38]Yizhang Wang, Wei Pang, Jingchu Zhou:
An improved density peak clustering algorithm guided by pseudo labels. Knowl. Based Syst. 252: 109374 (2022) - [j37]You Zhou, Ye Wang, Junhui Wu, Muhammad Hassan, Wei Pang, Lili Lv, Liupu Wang, Honghua Cui:
ErythroidCounter: an automatic pipeline for erythroid cell detection, identification and counting based on deep learning. Multim. Tools Appl. 81(18): 25541-25556 (2022) - 2021
- [j36]Jinchao Ji, Ruonan Li, Wei Pang, Fei He, Guozhong Feng, Xiaowei Zhao:
A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data. IEEE Access 9: 24913-24924 (2021) - [j35]Yan Wang, Jiali Chen, Xuping Xie, Sen Yang, Wei Pang, Lan Huang, Shuangquan Zhang, Shishun Zhao:
Minimum Distribution Support Vector Clustering. Entropy 23(11): 1473 (2021) - 2020
- [j34]Jinchao Ji, Wei Pang, Zairong Li, Fei He, Guozhong Feng, Xiaowei Zhao:
Clustering Mixed Numeric and Categorical Data With Cuckoo Search. IEEE Access 8: 30988-31003 (2020) - [j33]Yan Wang, Yao Wang, Yingying Song, Xuping Xie, Lan Huang, Wei Pang, George M. Coghill:
An Efficient v-Minimum Absolute Deviation Distribution Regression Machine. IEEE Access 8: 85533-85551 (2020) - [j32]Wenzhe Yang, Di Wang, Wei Pang, Ah-Hwee Tan, You Zhou:
Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution. IEEE Access 8: 110336-110350 (2020) - [j31]Qingmao Zeng, Xinhui Ma, Baoping Cheng, Erxun Zhou, Wei Pang:
GANs-Based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning. IEEE Access 8: 172882-172891 (2020) - [j30]Yu Xue, Tao Tang, Wei Pang, Alex X. Liu:
Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers. Appl. Soft Comput. 88: 106031 (2020) - [j29]Xiangchun Yu, Zhe Zhang, Lei Wu, Wei Pang, Hechang Chen, Zhezhou Yu, Bin Li:
Deep Ensemble Learning for Human Action Recognition in Still Images. Complex. 2020: 9428612:1-9428612:23 (2020) - [j28]Yizhang Wang, Di Wang, Wei Pang, Chunyan Miao, Ah-Hwee Tan, You Zhou:
A systematic density-based clustering method using anchor points. Neurocomputing 400: 352-370 (2020) - [j27]Muhammad Usman, Wei Pang, George M. Coghill:
Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches. Memetic Comput. 12(3): 267-282 (2020) - [j26]Yizhang Wang, Di Wang, Xiaofeng Zhang, Wei Pang, Chunyan Miao, Ah-Hwee Tan, You Zhou:
McDPC: multi-center density peak clustering. Neural Comput. Appl. 32(17): 13465-13478 (2020) - 2019
- [j25]Milan Deepak Parmar, Wei Pang, De-hao Yu, Jianhua Jiang, Liupu Wang, Limin Wang, You Zhou:
FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy. IEEE Access 7: 89789-89804 (2019) - [j24]Xuemei Hu, Lan Huang, Yan Wang, Wei Pang:
Explosion gravitation field algorithm with dust sampling for unconstrained optimization. Appl. Soft Comput. 81 (2019) - [j23]Xinliang Tian, Wei Pang, Yizhang Wang, Kaimin Guo, You Zhou:
LatinPSO: An algorithm for simultaneously inferring structure and parameters of ordinary differential equations models. Biosyst. 182: 8-16 (2019) - [j22]Xiangchun Yu, Zhezhou Yu, Lei Wu, Wei Pang, Chenghua Lin:
Data-driven two-layer visual dictionary structure learning. J. Electronic Imaging 28(2): 023006 (2019) - [j21]Xu Wang, Wei Pang, Zhe Wang:
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 46(6A): 397-401 (2019) - 2018
- [j20]Yu Xue, Binping Zhao, Tinghuai Ma, Wei Pang:
A Self-Adaptive Fireworks Algorithm for Classification Problems. IEEE Access 6: 44406-44416 (2018) - [j19]Dalin Li, Lan Huang, Kangping Wang, Wei Pang, You Zhou, Rui Zhang:
A General Framework for Accelerating Swarm Intelligence Algorithms on FPGAs, GPUs and Multi-Core CPUs. IEEE Access 6: 72327-72344 (2018) - [j18]Xiangchun Yu, Zhezhou Yu, Wei Pang, Minghao Li, Lei Wu:
An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning. Complex. 2018: 8917393:1-8917393:24 (2018) - [j17]Yu Xue, Weiwei Jia, Xuejian Zhao, Wei Pang:
An Evolutionary Computation Based Feature Selection Method for Intrusion Detection. Secur. Commun. Networks 2018: 2492956:1-2492956:10 (2018) - 2015
- [j16]Wei Pang, George M. Coghill:
QML-AiNet: An immune network approach to learning qualitative differential equation models. Appl. Soft Comput. 27: 148-157 (2015) - [j15]Wei Pang, George M. Coghill:
Qualitative, semi-quantitative, and quantitative simulation of the osmoregulation system in yeast. Biosyst. 131: 40-50 (2015) - [j14]Zujian Wu, Wei Pang, George M. Coghill:
An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing. Cogn. Comput. 7(6): 637-651 (2015) - [j13]Wei Du, Zhongbo Cao, Yan Wang, Fengfeng Zhou, Wei Pang, Xin Chen, Yuan Tian, Yanchun Liang:
Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data. Cogn. Comput. 7(6): 652-666 (2015) - [j12]Chenghua Lin, Dong Liu, Wei Pang, Zhe Wang:
Sherlock: A Semi-automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure. Cogn. Comput. 7(6): 667-679 (2015) - [j11]Jinchao Ji, Wei Pang, Yanlin Zheng, Zhe Wang, Zhiqiang Ma:
An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance. Int. J. Pattern Recognit. Artif. Intell. 29(7): 1550024:1-1550024:16 (2015) - [j10]Zujian Wu, Wei Pang, George M. Coghill:
An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems. Soft Comput. 19(6): 1595-1610 (2015) - 2014
- [j9]Bin Li, Wei Pang, Yuhao Liu, Xiangchun Yu, AnAn Du, YeCheng Zhang, Zhezhou Yu:
Building Recognition on Subregion's Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction. J. Appl. Math. 2014: 898705:1-898705:10 (2014) - [j8]Wei Pang, George Macleod Coghill:
QML-Morven: A novel framework for learning qualitative differential equation models using both symbolic and evolutionary approaches. J. Comput. Sci. 5(5): 795-808 (2014) - 2012
- [j7]Cheng-Cheng Jia, Sujing Wang, Xu-Jun Peng, Wei Pang, Can-Yan Zhang, Chunguang Zhou, Zhezhou Yu:
Incremental multi-linear discriminant analysis using canonical correlations for action recognition. Neurocomputing 83: 56-63 (2012) - [j6]Jinchao Ji, Wei Pang, Chunguang Zhou, Xiao Han, Zhe Wang:
A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data. Knowl. Based Syst. 30: 129-135 (2012) - [j5]Jinchao Ji, Wei Pang, Chunguang Zhou, Xiao Han, Zhe Wang:
Corrigendum to 'A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data' [Knowledge-Based Systems, 30 (2012) 129-135]. Knowl. Based Syst. 36: 363 (2012) - [j4]Zhezhou Yu, Cheng-Cheng Jia, Wei Pang, Can-Yan Zhang, Li-Hua Zhong:
Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization. IEEE Signal Process. Lett. 19(2): 95-98 (2012) - 2011
- [j3]Wei Pang, George Macleod Coghill:
An immune-inspired approach to qualitative system identification of biological pathways. Nat. Comput. 10(1): 189-207 (2011) - 2010
- [j2]Yanbin Liu, Chunguang Zhou, Dongwei Guo, Kangping Wang, Wei Pang, Yandong Zhai:
A decision support system using soft computing for modern international container transportation services. Appl. Soft Comput. 10(4): 1087-1095 (2010) - [j1]Wei Pang, George Macleod Coghill:
Learning Qualitative Differential Equation models: a survey of algorithms and applications. Knowl. Eng. Rev. 25(1): 69-107 (2010)
Conference and Workshop Papers
- 2023
- [c51]Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang, Mingzhong Wang:
WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series. AAAI 2023: 10754-10761 - 2022
- [c50]Adinath Ghadage, Dewei Yi, George M. Coghill, Wei Pang:
Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions. ANNPR 2022: 40-52 - [c49]Xiaohong W. Gao, Stephen Taylor, Wei Pang, Xin Lu, Barbara Braden:
Early detection of oesophageal cancer through colour contrast enhancement for data augmentation. Medical Imaging: Computer-Aided Diagnosis 2022 - [c48]Debinal Rajan, Shouyong Jiang, Dewei Yi, Wei Pang, George M. Coghill:
Enhanced Affinity Propagation Clustering on Heterogeneous Information Network. UKCI 2022: 334-346 - 2021
- [c47]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. CEC 2021: 482-489 - [c46]Luc Frachon, Wei Pang, George M. Coghill:
An Immune-Inspired Approach to Macro-Level Neural Ensemble Search. CEC 2021: 2491-2498 - [c45]Yingfang Yuan, Wenjun Wang, Wei Pang:
A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction. GECCO 2021: 386-394 - [c44]Yingfang Yuan, Wenjun Wang, Wei Pang:
Which hyperparameters to optimise?: an investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction. GECCO Companion 2021: 1403-1404 - [c43]Petra Korica, Neamat El Gayar, Wei Pang:
Explainable Artificial Intelligence in Healthcare: Opportunities, Gaps and Challenges and a Novel Way to Look at the Problem Space. IDEAL 2021: 333-342 - [c42]Milan Markovic, Iman Naja, Peter Edwards, Wei Pang:
The Accountability Fabric: A Suite of Semantic Tools For Managing AI System Accountability and Audit. ISWC (Posters/Demos/Industry) 2021 - [c41]James Forrest, Somayajulu Sripada, Wei Pang, George M. Coghill:
Are Contrastive Explanations Useful? SICSA XAI 2021: 9-16 - [c40]Chiu Pang Fung, Wei Pang, Iman Naja, Milan Markovic, Peter Edwards:
Towards Accountability Driven Development for Machine Learning Systems. SICSA XAI 2021: 25-32 - [c39]Wei Pang, Milan Markovic, Iman Naja, Chiu Pang Fung, Peter Edwards:
On Evidence Capture for Accountable AI Systems. SICSA XAI 2021: 33-39 - [c38]Agne Zainyte, Wei Pang:
Challenges and Future Directions for Accountable Machine Learning. SICSA XAI 2021: 40-47 - 2020
- [c37]Sijan S. Rana, Xinhui Ma, Wei Pang, Emma Wolverson:
A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. BDCAT 2020: 9-18 - [c36]Wenjun Wang, Wei Pang, Paul A. Bingham, Mania Mania, Tzu-Yu Chen, Justin J. Perry:
Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels. CEC 2020: 1-7 - [c35]Shahadate Rezvy, Tahmina Zebin, Barbara Braden, Wei Pang, Stephen Taylor, Xiaohong W. Gao:
Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture. EndoCV@ISBI 2020: 68-72 - 2019
- [c34]Muhammad Usman, AbuBakr Awad, Wei Pang, George M. Coghill:
Inferring structure and parameters of dynamic systems using particle swarm optimization. GECCO (Companion) 2019: 101-102 - [c33]AbuBakr Awad, Muhammad Usman, David Lusseau, George M. Coghill, Wei Pang:
A physarum-inspired competition algorithm for solving discrete multi-objective optimization problems. GECCO (Companion) 2019: 195-196 - [c32]Xiaohong W. Gao, Barbara Braden, Stephen Taylor, Wei Pang:
Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos. ICMLA 2019: 1606-1612 - [c31]AbuBakr Awad, Wei Pang, David Lusseau, George M. Coghill:
A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour. ALIFE 2019: 203-210 - [c30]Edvinas Byla, Wei Pang:
DeepSwarm: Optimising Convolutional Neural Networks Using Swarm Intelligence. UKCI 2019: 119-130 - [c29]Hadeel Albalawi, Wei Pang, George M. Coghill:
Swarm Inspired Approaches for K-prototypes Clustering. UKCI 2019: 201-209 - 2018
- [c28]James Forrest, Somayajulu Sripada, Wei Pang, George M. Coghill:
Towards making NLG a voice for interpretable Machine Learning. INLG 2018: 177-182 - [c27]Ge Ou, Yan Wang, Lan Huang, Wei Pang, George Macleod Coghill:
ε-Distance Weighted Support Vector Regression. PAKDD (1) 2018: 209-220 - [c26]Anthony Chapman, Wei Pang, George M. Coghill:
CLEMI-Imputation Evaluation. SACI 2018: 373-378 - [c25]Kuratu M. Tanimu, Wei Pang, George M. Coghill:
A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks. SICSA ReaLX 2018 - [c24]AbuBakr Awad, Wei Pang, George M. Coghill:
Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks. UKCI 2018: 327-338 - 2017
- [c23]Lan Huang, Xuemei Hu, Yan Wang, Fang Zhang, Zhendong Liu, Wei Pang:
Gravitation field algorithm with optimal detection for unconstrained optimization. ICSAI 2017: 1411-1416 - [c22]Ge Ou, Yan Wang, Wei Pang, George Macleod Coghill:
Large margin distribution machine recursive feature elimination. ICSAI 2017: 1518-1523 - [c21]Manqing Ma, Wei Pang, Lan Huang, Zhe Wang:
A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks. PAKDD (1) 2017: 750-761 - 2016
- [c20]Yan Wang, Wei Du, Yanchun Liang, Xin Chen, Chi Zhang, Wei Pang, Ying Xu:
PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins. ADMA 2016: 714-725 - [c19]Qing Peng, Yan Wang, Ge Ou, Yuan Tian, Lan Huang, Wei Pang:
Partitioning Clustering Based on Support Vector Ranking. ADMA 2016: 726-737 - [c18]Nura Mukhtar, George Macleod Coghill, Wei Pang:
FdDCA: A Novel Fuzzy Deterministic Dendritic Cell Algorithm. GECCO (Companion) 2016: 1007-1010 - [c17]Laipeng Han, Lan Huang, Xueyi Yang, Wei Pang, Kangping Wang:
A Novel Spatio-Temporal Data Storage and Index Method for ARM-Based Hadoop Server. ICCCS (1) 2016: 206-216 - 2015
- [c16]Chukwuemeka David Emele, Vitalij Spakov, Wei Pang, Jone Bone, George M. Coghill:
ADOVA: Anomaly Detection in Online and Virtual spAces. COOS@AAMAS 2015: 38-41 - [c15]Chenghua Lin, Dong Liu, Wei Pang, Edward Apeh:
Automatically Predicting Quiz Difficulty Level Using Similarity Measures. K-CAP 2015: 1:1-1:8 - 2014
- [c14]Yuexu Jiang, Yan Wang, Wei Pang, Liang Chen, Huiyan Sun, Yanchun Liang, Enrico Blanzieri:
Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights. BIBM 2014: 480-483 - [c13]Wei Pang, George Macleod Coghill:
An immune network approach to learning qualitative models of biological pathways. IEEE Congress on Evolutionary Computation 2014: 1030-1037 - [c12]Chengcheng Jia, Wei Pang, Yun Raymond Fu:
Mode-Driven Volume Analysis Based on Correlation of Time Series. ECCV Workshops (1) 2014: 818-833 - [c11]Wei Pang, George Macleod Coghill:
Fuzzy qualitative simulation with multivariate constraints. FUZZ-IEEE 2014: 575-582 - [c10]Chen Luo, Wei Pang, Zhe Wang, Chenghua Lin:
Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations. ICDM 2014: 917-922 - [c9]Chen Luo, Wei Pang, Zhe Wang:
Semi-supervised Clustering on Heterogeneous Information Networks. PAKDD (2) 2014: 548-559 - 2013
- [c8]Zujian Wu, Wei Pang, George Macleod Coghill:
Stepwise modelling of biochemical pathways based on qualitative model learning. UKCI 2013: 31-37 - 2012
- [c7]Wei Pang, George Macleod Coghill:
Extended kernel subset analysis for qualitative model learning. UKCI 2012: 1-7 - 2010
- [c6]Wei Pang, George Macleod Coghill:
Learning Qualitative Metabolic Models Using Evolutionary Methods. FCST 2010: 436-441 - [c5]Wei Pang, George Macleod Coghill:
QML-AiNet: An Immune-Inspired Network Approach to Qualitative Model Learning. ICARIS 2010: 223-236 - 2009
- [c4]Wei Pang, George Macleod Coghill:
An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal. ICARIS 2009: 151-164 - 2007
- [c3]Wei Pang, George Macleod Coghill:
Modified clonal selection algorithm for learning qualitative compartmental models of metabolic systems. GECCO (Companion) 2007: 2887-2894 - 2006
- [c2]Yu Meng, Wen-hui Li, Yan Wang, Wu Guo, Wei Pang:
An Evolution Computation Based Approach to Synthesize Video Texture. International Conference on Computational Science (2) 2006: 223-230 - 2004
- [c1]Wei Pang, Kangping Wang, Chunguang Zhou, Long-jiang Dong:
Fuzzy Discrete Particle Swarm Optimization for Solving Traveling Salesman Problem. CIT 2004: 796-800
Informal and Other Publications
- 2024
- [i14]Junhao Song, Yingfang Yuan, Wei Pang:
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm. CoRR abs/2402.07244 (2024) - 2023
- [i13]Zuhao Yang, Huajun Bai, Zhang Luo, Yang Xu, Wei Pang, Yue Wang, Yisheng Yuan, Yingfang Yuan:
PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy. CoRR abs/2301.13082 (2023) - [i12]Xinyu Zhao, Sa Huang, Wei Pang, You Zhou:
CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics. CoRR abs/2305.11024 (2023) - [i11]Konstantinos Gavriilidis, Andrea Munafò, Wei Pang, Helen Hastie:
A Surrogate Model Framework for Explainable Autonomous Behaviour. CoRR abs/2305.19724 (2023) - [i10]Yubin Xiao, Di Wang, Huanhuan Chen, Boyang Li, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou:
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems. CoRR abs/2308.00560 (2023) - 2021
- [i9]Yingfang Yuan, Wenjun Wang, George M. Coghill, Wei Pang:
A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks. CoRR abs/2101.09300 (2021) - [i8]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Systematic Comparison Study on Hyperparameter Optimisation of Graph Neural Networks for Molecular Property Prediction. CoRR abs/2102.04283 (2021) - [i7]Yingfang Yuan, Wenjun Wang, Wei Pang:
A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. CoRR abs/2102.11995 (2021) - [i6]AbuBakr Awad, Wei Pang, David Lusseau, George M. Coghill:
A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications. CoRR abs/2103.00172 (2021) - [i5]Yingfang Yuan, Wenjun Wang, Wei Pang:
Which Hyperparameters to Optimise? An Investigation of Evolutionary Hyperparameter Optimisation in Graph Neural Network For Molecular Property Prediction. CoRR abs/2104.06046 (2021) - 2020
- [i4]Kefan Chen, Wei Pang:
ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures. CoRR abs/2002.12704 (2020) - 2019
- [i3]Edvinas Byla, Wei Pang:
DeepSwarm: Optimising Convolutional Neural Networks using Swarm Intelligence. CoRR abs/1905.07350 (2019) - [i2]Luc Frachon, Wei Pang, George M. Coghill:
ImmuNeCS: Neural Committee Search by an Artificial Immune System. CoRR abs/1911.07729 (2019) - 2014
- [i1]Chen Luo, Wei Pang, Zhe Wang:
Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations. CoRR abs/1412.7610 (2014)
Coauthor Index
George Macleod Coghill
aka: George M. Coghill
aka: George M. Coghill
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last updated on 2024-05-27 23:45 CEST by the dblp team
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