Fuzzy Discrete Particle Swarm Optimization for Solving Traveling Salesman Problem. - Wei Pang 001; Kangping Wang; Chunguang Zhou; Long-jiang Dong (CIT, 2004)

An Evolution Computation Based Approach to Synthesize Video Texture. - Yu Meng; Wen-hui Li; Yan Wang 028; Wu Guo; Wei Pang 001 (International Conference on Computational Science (2), 2006)

Modified clonal selection algorithm for learning qualitative compartmental models of metabolic systems. - Wei Pang 001; George Macleod Coghill (GECCO (Companion), 2007)

An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal. - Wei Pang 001; George Macleod Coghill (ICARIS, 2009)

QML-Morven : a framework for learning qualitative models. - Wei Pang 001 (2009)

Learning Qualitative Metabolic Models Using Evolutionary Methods. - Wei Pang 001; George Macleod Coghill (FCST, 2010)

QML-AiNet: An Immune-Inspired Network Approach to Qualitative Model Learning. - Wei Pang 001; George Macleod Coghill (ICARIS, 2010)

A decision support system using soft computing for modern international container transportation services. - Yanbin Liu; Chunguang Zhou; Dongwei Guo; Kangping Wang; Wei Pang 001; Yandong Zhai (Appl. Soft Comput., 2010)

Learning Qualitative Differential Equation models: a survey of algorithms and applications. - Wei Pang 001; George Macleod Coghill (Knowl. Eng. Rev., 2010)

An immune-inspired approach to qualitative system identification of biological pathways. - Wei Pang 001; George Macleod Coghill (Nat. Comput., 2011)

Extended kernel subset analysis for qualitative model learning. - Wei Pang 001; George Macleod Coghill (UKCI, 2012)

Incremental multi-linear discriminant analysis using canonical correlations for action recognition. - Cheng-Cheng Jia; Sujing Wang; Xu-Jun Peng; Wei Pang 001; Can-Yan Zhang; Chunguang Zhou; Zhezhou Yu (Neurocomputing, 2012)

A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data. - Jinchao Ji; Wei Pang 001; Chunguang Zhou; Xiao Han; Zhe Wang 007 (Knowl. Based Syst., 2012)

Corrigendum to 'A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data' [Knowledge-Based Systems, 30 (2012) 129-135]. - Jinchao Ji; Wei Pang 001; Chunguang Zhou; Xiao Han; Zhe Wang 007 (Knowl. Based Syst., 2012)

Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization. - Zhezhou Yu; Cheng-Cheng Jia; Wei Pang 001; Can-Yan Zhang; Li-Hua Zhong (IEEE Signal Process. Lett., 2012)

Stepwise modelling of biochemical pathways based on qualitative model learning. - Zujian Wu; Wei Pang 001; George Macleod Coghill (UKCI, 2013)

Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights. - Yuexu Jiang; Yan Wang 028; Wei Pang 001; Liang Chen 021; Huiyan Sun; Yanchun Liang 001; Enrico Blanzieri (BIBM, 2014)

An immune network approach to learning qualitative models of biological pathways. - Wei Pang 001; George Macleod Coghill (IEEE Congress on Evolutionary Computation, 2014)

Mode-Driven Volume Analysis Based on Correlation of Time Series. - Chengcheng Jia; Wei Pang 001; Yun Raymond Fu (ECCV Workshops (1), 2014)

Fuzzy qualitative simulation with multivariate constraints. - Wei Pang 001; George Macleod Coghill (FUZZ-IEEE, 2014)

Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations. - Chen Luo; Wei Pang 001; Zhe Wang 007; Chenghua Lin (ICDM, 2014)

Semi-supervised Clustering on Heterogeneous Information Networks. - Chen Luo; Wei Pang 001; Zhe Wang 007 (PAKDD (2), 2014)

Hete-CF: Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations. - Chen Luo; Wei Pang 001; Zhe Wang 007 (CoRR, 2014)

Building Recognition on Subregion's Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction. - Bin Li 004; Wei Pang 001; Yuhao Liu; Xiangchun Yu; AnAn Du; YeCheng Zhang; Zhezhou Yu (J. Appl. Math., 2014)

QML-Morven: A novel framework for learning qualitative differential equation models using both symbolic and evolutionary approaches. - Wei Pang 001; George Macleod Coghill (J. Comput. Sci., 2014)

ADOVA: Anomaly Detection in Online and Virtual spAces. - Chukwuemeka David Emele; Vitalij Spakov; Wei Pang 001; Jone Bone; George M. Coghill (COOS@AAMAS, 2015)

Automatically Predicting Quiz Difficulty Level Using Similarity Measures. - Chenghua Lin; Dong Liu; Wei Pang 001; Edward Apeh (K-CAP, 2015)

QML-AiNet: An immune network approach to learning qualitative differential equation models. - Wei Pang 001; George M. Coghill (Appl. Soft Comput., 2015)

Qualitative, semi-quantitative, and quantitative simulation of the osmoregulation system in yeast. - Wei Pang 001; George M. Coghill (Biosyst., 2015)

Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data. - Wei Du 002; Zhongbo Cao; Yan Wang 028; Fengfeng Zhou; Wei Pang 001; Xin Chen; Yuan Tian 016; Yanchun Liang 001 (Cogn. Comput., 2015)

Sherlock: A Semi-automatic Framework for Quiz Generation Using a Hybrid Semantic Similarity Measure. - Chenghua Lin; Dong Liu; Wei Pang 001; Zhe Wang 007 (Cogn. Comput., 2015)

An Integrated Qualitative and Quantitative Biochemical Model Learning Framework Using Evolutionary Strategy and Simulated Annealing. - Zujian Wu; Wei Pang 001; George M. Coghill (Cogn. Comput., 2015)

An Initialization Method for Clustering Mixed Numeric and Categorical Data Based on the Density and Distance. - Jinchao Ji; Wei Pang 001; Yanlin Zheng; Zhe Wang 007; Zhiqiang Ma (Int. J. Pattern Recognit. Artif. Intell., 2015)

An integrative top-down and bottom-up qualitative model construction framework for exploration of biochemical systems. - Zujian Wu; Wei Pang 001; George M. Coghill (Soft Comput., 2015)

Partitioning Clustering Based on Support Vector Ranking. - Qing Peng; Yan Wang 028; Ge Ou; Yuan Tian 016; Lan Huang 002; Wei Pang 001 (ADMA, 2016)

PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins. - Yan Wang 028; Wei Du 002; Yanchun Liang 001; Xin Chen; Chi Zhang 021; Wei Pang 001; Ying Xu 001 (ADMA, 2016)

FdDCA: A Novel Fuzzy Deterministic Dendritic Cell Algorithm. - Nura Mukhtar; George Macleod Coghill; Wei Pang 001 (GECCO (Companion), 2016)

A Novel Spatio-Temporal Data Storage and Index Method for ARM-Based Hadoop Server. - Laipeng Han; Lan Huang 002; Xueyi Yang; Wei Pang 001; Kangping Wang (ICCCS (1), 2016)

Gravitation field algorithm with optimal detection for unconstrained optimization. - Lan Huang 002; Xuemei Hu; Yan Wang 028; Fang Zhang; Zhendong Liu; Wei Pang 001 (ICSAI, 2017)

Large margin distribution machine recursive feature elimination. - Ge Ou; Yan Wang 028; Wei Pang 001; George Macleod Coghill (ICSAI, 2017)

A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks. - Manqing Ma; Wei Pang 001; Lan Huang 002; Zhe Wang 007 (PAKDD (1), 2017)

Towards making NLG a voice for interpretable Machine Learning. - James Forrest; Somayajulu Sripada; Wei Pang 001; George M. Coghill (INLG, 2018)

ε-Distance Weighted Support Vector Regression. - Ge Ou; Yan Wang 028; Lan Huang 002; Wei Pang 001; George Macleod Coghill (PAKDD (1), 2018)

CLEMI-Imputation Evaluation. - Anthony Chapman; Wei Pang 001; George M. Coghill (SACI, 2018)

A Conceptual Framework of Starlings Swarm Intelligence Intrusion Prevention for Software Defined Networks. - Kuratu M. Tanimu; Wei Pang 001; George M. Coghill (SICSA ReaLX, 2018)

Physarum Inspired Connectivity and Restoration for Wireless Sensor and Actor Networks. - AbuBakr Awad; Wei Pang 001; George M. Coghill (UKCI, 2018)

A General Framework for Accelerating Swarm Intelligence Algorithms on FPGAs, GPUs and Multi-Core CPUs. - Dalin Li; Lan Huang 002; Kangping Wang; Wei Pang 001; You Zhou 008; Rui Zhang 084 (IEEE Access, 2018)

A Self-Adaptive Fireworks Algorithm for Classification Problems. - Yu Xue 003; Binping Zhao; Tinghuai Ma; Wei Pang 001 (IEEE Access, 2018)

An Improved EMD-Based Dissimilarity Metric for Unsupervised Linear Subspace Learning. - Xiangchun Yu; Zhezhou Yu; Wei Pang 001; Minghao Li; Lei Wu (Complex., 2018)

An Evolutionary Computation Based Feature Selection Method for Intrusion Detection. - Yu Xue 003; Weiwei Jia 004; Xuejian Zhao; Wei Pang 001 (Secur. Commun. Networks, 2018)

A physarum-inspired competition algorithm for solving discrete multi-objective optimization problems. - AbuBakr Awad; Muhammad Usman; David Lusseau; George M. Coghill; Wei Pang 001 (GECCO (Companion), 2019)

Inferring structure and parameters of dynamic systems using particle swarm optimization. - Muhammad Usman; AbuBakr Awad; Wei Pang 001; George M. Coghill (GECCO (Companion), 2019)

Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos. - Xiaohong W. Gao; Barbara Braden; Stephen Taylor; Wei Pang 001 (ICMLA, 2019)

A Hexagonal Cell Automaton Model to Imitate Physarum Polycephalum Competitive Behaviour. - AbuBakr Awad; Wei Pang 001; David Lusseau; George M. Coghill (ALIFE, 2019)

Swarm Inspired Approaches for K-prototypes Clustering. - Hadeel Albalawi; Wei Pang 001; George M. Coghill (UKCI, 2019)

DeepSwarm: Optimising Convolutional Neural Networks Using Swarm Intelligence. - Edvinas Byla; Wei Pang 001 (UKCI, 2019)

FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy. - Milan Deepak Parmar; Wei Pang 001; Dehao Yu; Jianhua Jiang; Liupu Wang; Limin Wang 011; You Zhou 008 (IEEE Access, 2019)

Explosion gravitation field algorithm with dust sampling for unconstrained optimization. - Xuemei Hu; Lan Huang 002; Yan Wang 028; Wei Pang 001 (Appl. Soft Comput., 2019)

LatinPSO: An algorithm for simultaneously inferring structure and parameters of ordinary differential equations models. - Xinliang Tian; Wei Pang 001; Yizhang Wang; Kaimin Guo; You Zhou 008 (Biosyst., 2019)

ImmuNeCS: Neural Committee Search by an Artificial Immune System. - Luc Frachon; Wei Pang 001; George M. Coghill (CoRR, 2019)

Data-driven two-layer visual dictionary structure learning. - Xiangchun Yu; Zhezhou Yu; Lei Wu; Wei Pang 001; Chenghua Lin (J. Electronic Imaging, 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). - Xu Wang; Wei Pang 001; Zhe Wang 007 (计算机科学, 2019)

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. - Sijan S. Rana; Xinhui Ma; Wei Pang 001; Emma Wolverson (BDCAT, 2020)

Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels. - Wenjun Wang 003; Wei Pang 001; Paul A. Bingham; Mania Mania; Tzu-Yu Chen; Justin J. Perry (CEC, 2020)

Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture. - Shahadate Rezvy; Tahmina Zebin; Barbara Braden; Wei Pang 001; Stephen Taylor; Xiaohong W. Gao (EndoCV@ISBI, 2020)

Clustering Mixed Numeric and Categorical Data With Cuckoo Search. - Jinchao Ji; Wei Pang 001; Zairong Li; Fei He 003; Guozhong Feng; Xiaowei Zhao 004 (IEEE Access, 2020)

An Efficient v-Minimum Absolute Deviation Distribution Regression Machine. - Yan Wang 028; Yao Wang 010; Yingying Song; Xuping Xie; Lan Huang 002; Wei Pang 001; George M. Coghill (IEEE Access, 2020)

Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution. - Wenzhe Yang 001; Di Wang 004; Wei Pang 001; Ah-Hwee Tan; You Zhou 008 (IEEE Access, 2020)

GANs-Based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning. - Qingmao Zeng; Xinhui Ma; Baoping Cheng; Erxun Zhou; Wei Pang 001 (IEEE Access, 2020)

Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers. - Yu Xue 003; Tao Tang; Wei Pang 001; Alex X. Liu (Appl. Soft Comput., 2020)

Deep Ensemble Learning for Human Action Recognition in Still Images. - Xiangchun Yu; Zhe Zhang; Lei Wu; Wei Pang 001; Hechang Chen; Zhezhou Yu; Bin Li 004 (Complex., 2020)

ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures. - Kefan Chen; Wei Pang 001 (CoRR, 2020)

A systematic density-based clustering method using anchor points. - Yizhang Wang; Di Wang 004; Wei Pang 001; Chunyan Miao; Ah-Hwee Tan; You Zhou 008 (Neurocomputing, 2020)

Inferring structure and parameters of dynamic system models simultaneously using swarm intelligence approaches. - Muhammad Usman; Wei Pang 001; George M. Coghill (Memetic Comput., 2020)

McDPC: multi-center density peak clustering. - Yizhang Wang; Di Wang 004; Xiaofeng Zhang 002; Wei Pang 001; Chunyan Miao; Ah-Hwee Tan; You Zhou 008 (Neural Comput. Appl., 2020)

An Immune-Inspired Approach to Macro-Level Neural Ensemble Search. - Luc Frachon; Wei Pang 001; George M. Coghill (CEC, 2021)

A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. - Yingfang Yuan; Wenjun Wang 003; Wei Pang 001 (CEC, 2021)

A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction. - Yingfang Yuan; Wenjun Wang 003; Wei Pang 001 (GECCO, 2021)

Which hyperparameters to optimise?: an investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction. - Yingfang Yuan; Wenjun Wang 003; Wei Pang 001 (GECCO Companion, 2021)

Explainable Artificial Intelligence in Healthcare: Opportunities, Gaps and Challenges and a Novel Way to Look at the Problem Space. - Petra Korica; Neamat El Gayar; Wei Pang 001 (IDEAL, 2021)

The Accountability Fabric: A Suite of Semantic Tools For Managing AI System Accountability and Audit. - Milan Markovic; Iman Naja; Peter Edwards; Wei Pang 001 (ISWC (Posters/Demos/Industry), 2021)

On Evidence Capture for Accountable AI Systems. - Wei Pang 001; Milan Markovic; Iman Naja; Chiu Pang Fung; Peter Edwards (SICSA XAI, 2021)

Are Contrastive Explanations Useful? - James Forrest; Somayajulu Sripada; Wei Pang 001; George M. Coghill (SICSA XAI, 2021)

Towards Accountability Driven Development for Machine Learning Systems. - Chiu Pang Fung; Wei Pang 001; Iman Naja; Milan Markovic; Peter Edwards (SICSA XAI, 2021)

Challenges and Future Directions for Accountable Machine Learning. - Agne Zainyte; Wei Pang 001 (SICSA XAI, 2021)

A Multi-View Clustering Algorithm for Mixed Numeric and Categorical Data. - Jinchao Ji; Ruonan Li; Wei Pang 001; Fei He 003; Guozhong Feng; Xiaowei Zhao 004 (IEEE Access, 2021)

A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks. - Yingfang Yuan; Wenjun Wang 003; George M. Coghill; Wei Pang 001 (CoRR, 2021)

Minimum Distribution Support Vector Clustering. - Yan Wang 028; Jiali Chen; Xuping Xie; Sen Yang; Wei Pang 001; Lan Huang 002; Shuangquan Zhang; Shishun Zhao (Entropy, 2021)

Multi-stage Bias Mitigation for Individual Fairness in Algorithmic Decisions. - Adinath Ghadage; Dewei Yi; George M. Coghill; Wei Pang 001 (ANNPR, 2022)

Early detection of oesophageal cancer through colour contrast enhancement for data augmentation. - Xiaohong W. Gao; Stephen Taylor; Wei Pang 001; Xin Lu; Barbara Braden (Computer-Aided Diagnosis, 2022)

Enhanced Affinity Propagation Clustering on Heterogeneous Information Network. - Debinal Rajan; Shouyong Jiang; Dewei Yi; Wei Pang 001; George M. Coghill (UKCI, 2022)

Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information. - Iman Naja; Milan Markovic; Peter Edwards; Wei Pang 001; Caitlin Doyle Cottrill; Rebecca Williams (IEEE Access, 2022)

Restorable-inpainting: A novel deep learning approach for shoeprint restoration. - Muhammad Hassan; Yan Wang 028; Di Wang 004; Wei Pang 001; Kangping Wang; Daixi Li; You Zhou 008; Dong Xu 002 (Inf. Sci., 2022)

Multiscale increment entropy: An approach for quantifying the physiological complexity of biomedical time series. - Xue Wang; Xiaofeng Liu 006; Wei Pang 001; Aimin Jiang (Inf. Sci., 2022)

IPAS-Net: A deep-learning model for generating high-fidelity shoeprints from low-quality images with no natural references. - Muhammad Hassan; Yan Wang 028; Wei Pang 001; Di Wang 004; Daixi Li; You Zhou 008; Dong Xu 002 (J. King Saud Univ. Comput. Inf. Sci., 2022)

All particles driving particle swarm optimization: Superior particles pulling plus inferior particles pushing. - Qing Liu; Jin Li; Haipeng Ren; Wei Pang 001 (Knowl. Based Syst., 2022)

An improved density peak clustering algorithm guided by pseudo labels. - Yizhang Wang; Wei Pang 001; Jingchu Zhou (Knowl. Based Syst., 2022)

ErythroidCounter: an automatic pipeline for erythroid cell detection, identification and counting based on deep learning. - You Zhou 008; Ye Wang; Junhui Wu; Muhammad Hassan; Wei Pang 001; Lili Lv; Liupu Wang; Honghua Cui (Multim. Tools Appl., 2022)

WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series. - Fuhao Yang; Xin Li 033; Min Wang 039; Hongyu Zang; Wei Pang 001; Mingzhong Wang (AAAI, 2023)

A survey on physarum polycephalum intelligent foraging behaviour and bio-inspired applications. - AbuBakr Awad; Wei Pang 001; David Lusseau; George M. Coghill (Artif. Intell. Rev., 2023)

PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy. - Zuhao Yang; Huajun Bai; Zhang Luo; Yang Xu; Wei Pang 001; Yue Wang; Yisheng Yuan; Yingfang Yuan (CoRR, 2023)

CDIDN: A Registration Model with High Deformation Impedance Capability for Long-Term Tracking of Pulmonary Lesion Dynamics. - Xinyu Zhao; Sa Huang; Wei Pang 001; You Zhou 008 (CoRR, 2023)

A Surrogate Model Framework for Explainable Autonomous Behaviour. - Konstantinos Gavriilidis; Andrea Munafò; Wei Pang 001; Helen Hastie (CoRR, 2023)

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems. - Yubin Xiao; Di Wang 004; Huanhuan Chen; Boyang Li 001; Wei Pang 001; Xuan Wu 004; Hao Li; Dong Xu 002; Yanchun Liang 001; You Zhou 008 (CoRR, 2023)

Image Colorization using CycleGAN with semantic and spatial rationality. - Bin Li 004; Yi Lu; Wei Pang 001; Huixin Xu (Multim. Tools Appl., 2023)

Bridging the gap between mechanistic biological models and machine learning surrogates. - Ioana M. Gherman; Zahraa S. Abdallah; Wei Pang 001; Thomas E. Gorochowski; Claire S. Grierson; Lucia Marucci (PLoS Comput. Biol., 2023)

Feature Correspondences Increase and Hybrid Terms Optimization Warp for Image Stitching. - Yizhi Cong; Yan Wang 028; Wenju Hou; Wei Pang 001 (Entropy, 2023)

Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time. - Xiaohong W. Gao; Stephen Taylor; Wei Pang 001; Rui Hui; Xin Lu; Barbara Braden (Inf. Fusion, 2023)

U-DARTS: Uniform-space differentiable architecture search. - Lan Huang 002; Shiqi Sun; Jia Zeng; Wencong Wang; Wei Pang 001; Kangping Wang (Inf. Sci., 2023)

An adaptive mutual K-nearest neighbors clustering algorithm based on maximizing mutual information. - Yizhang Wang; Wei Pang 001; Zhixiang Jiao (Pattern Recognit., 2023)

Correction to: ErythroidCounter: an automatic pipeline for erythroid cell detection, identification and counting based on deep learning. - You Zhou 008; Ye Wang; Junhui Wu; Muhammad Hassan; Wei Pang 001; Lili Lv; Liupu Wang; Honghua Cui (Multim. Tools Appl., 2023)

A novel Physarum-inspired competition algorithm for discrete multi-objective optimisation problems. - AbuBakr Awad; George M. Coghill; Wei Pang 001 (Soft Comput., 2023)

SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm. - Junhao Song; Yingfang Yuan; Wei Pang 001 (GECCO Companion, 2024)

Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. - Yingfang Yuan; Wenjun Wang 003; Xin Li 033; Kefan Chen; Yonghan Zhang; Wei Pang 001 (GECCO, 2024)

Navigating Public Sentiment in the Circular Economy through Topic Modelling and Hyperparameter Optimisation. - Junhao Song; Yingfang Yuan; Kaiwen Chang; Bing Xu; Jin Xuan; Wei Pang 001 (CoRR, 2024)

Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness. - Yingfang Yuan; Kefan Chen; Mehdi Rizvi; Lynne Baillie; Wei Pang 001 (CoRR, 2024)

FAM: Improving columnar vision transformer with feature attention mechanism. - Lan Huang 002; Xingyu Bai; Jia Zeng; Mengqiang Yu; Wei Pang 001; Kangping Wang (Comput. Vis. Image Underst., 2024)

Deep learning model for human-intuitive shoeprint reconstruction. - Muhammad Hassan; Yan Wang 028; Di Wang 004; Wei Pang 001; Daixi Li; You Zhou 008; Dong Xu 002; Sami Ur Rahman; Amin ur Rahman; Ahmed Fateh Ameen; Peiwu Qin (Expert Syst. Appl., 2024)

One-Shot Federated Clustering Based on Stable Distance Relationships. - Yizhang Wang; Wei Pang 001; Witold Pedrycz (IEEE Trans. Ind. Informatics, 2024)

Unsupervised Domain Adaptation for Skeleton Recognition With Fourier Analysis. - Ruotong Hu; Xianzhi Wang 001; Xiangqian Ding; Yongle Zhang; Xiaowei Xin; Wei Pang 001; Shusong Yu (IEEE Internet Things J., 2024)

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning. - Yonghao Liu 001; Mengyu Li; Wei Pang 001; Fausto Giunchiglia; Lan Huang 002; Xiaoyue Feng; Renchu Guan (AAAI, 2025)

TS-Net: An Emotion Recognition Network Based on Temporal-Spatial Features of EEG Signals. - Bin Li 004; Shuangyou Li; Wei Pang 001 (ICIC (17), 2025)

An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem. - Mingzhao Wang; You Zhou 008; Zhiguang Cao; Yubin Xiao; Xuan Wu 004; Wei Pang 001; Yuan Jiang 007; Hui Yang 015; Peng Zhao 018; Yuanshu Li (KDD (1), 2025)

A deep learning based approach for automatic cardiac events identification. - Yuanshu Li; Kexin Hong; Xiaohu Shi; Wei Pang 001; Yubin Xiao; Peng Zhao 018; Dong Xu 002; Chunli Song; Xu Zhou; You Zhou 008 (Biomed. Signal Process. Control., 2025)

A lightweight model LGCSPNet for sitting posture risk management applications. - Dapeng Wang; Wei Pang 001; Zheng Cao; Lei Song; Liying An; Xuan Wu 004; Peng Zhao 018; Liupu Wang; You Zhou 008 (Expert Syst. Appl., 2025)

Bias-variance decomposition knowledge distillation for medical image segmentation. - Xiangchun Yu; Longxiang Teng; Zhongjian Duan; Dingwen Zhang; Wei Pang 001; Miaomiao Liang; Jian Zheng; Liujin Qiu; Qing Xu (Neurocomputing, 2025)

ICPPNet: A semantic segmentation network model based on inter-class positional prior for scoliosis reconstruction in ultrasound images. - Changlong Wang; You Zhou 008; Yuanshu Li; Wei Pang 001; Liupu Wang; Wei Du 002; Hui Yang 015; Ying Jin (J. Biomed. Informatics, 2025)

Out-of-distribution monocular depth estimation with local invariant regression. - Yeqi Hu; Yuan Rao 001; Hui Yu 001; Gaige Wang; Hao Fan 004; Wei Pang 001; Junyu Dong (Knowl. Based Syst., 2025)

A Unifying Bias-aware Multidisciplinary Framework for Investigating Socio-Technical Issues. - Sacha Hasan; Mehdi Rizvi; Yingfang Yuan; Kefan Chen; Lynne Baillie; Wei Pang 001 (CoRR, 2025)

Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems. - Yubin Xiao; Di Wang 004; Boyang Li 001; Huanhuan Chen; Wei Pang 001; Xuan Wu 004; Hao Li; Dong Xu 002; Yanchun Liang 001; You Zhou 008 (IEEE Trans. Neural Networks Learn. Syst., 2025)

One-Shot Secure Federated K-Means Clustering Based on Density Cores. - Yizhang Wang; Wei Pang 001; Di Wang 004; Witold Pedrycz (IEEE Trans. Neural Networks Learn. Syst., 2025)

A generalized neural solver based on LLM-guided heuristic evoluation framework for solving diverse variants of vehicle routing problems. - Minyan Chi; Wei Pang 001; Xuan Wu 004; Peng Zhao 018; Yuanshu Li; Tianfang Wang; Junjie Qian; Yubin Xiao; Liupu Wang; You Zhou 008 (Expert Syst. Appl., 2026)