A Method of Data Classification Based on Parallel Genetic Algorithm. - Yuexiang Shi; Zuqiang Meng; Zixing Cai; Beno Benhabib (FSKD (1), 2005)

A Granular Evolutionary Algorithm Based on Cultural Evolution. - Zuqiang Meng; Zhongzhi Shi (ISICA, 2007)

On modeling cognitive process with granular computing. - Zuqiang Meng; Zhongzhi Shi; Tao Gong (FUZZ-IEEE, 2008)

Image Segmentation-oriented Tolerance Granular Computing Model. - Zhongzhi Shi; Zheng Zheng 001; Zuqiang Meng (GrC, 2008)

Tolerance Granular Computing based on incomplete information system. - Zhongzhi Shi; Zuqiang Meng; Yuan Lu (GrC, 2009)

A fast approach to attribute reduction in incomplete decision systems with tolerance relation-based rough sets. - Zuqiang Meng; Zhongzhi Shi (Inf. Sci., 2009)

Assignment Reduct and its Calculation Method in Inconsistent Incomplete Decision System. - Zuqiang Meng; Zhongzhi Shi; Hua Qin (GrC, 2010)

A general framework for rule acquisition based on tolerance granular computing in IIDSs. - Zuqiang Meng; Zhongzhi Shi; Ke Xu (GrC, 2011)

Tolerance granular computing towards incomplete information system. - Zhongzhi Shi; Wenjia Niu; Zuqiang Meng; Yuan Lu (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2011)

Mechanism of concept learning in topologized knowledge granular space based on GrC. - Zuqiang Meng; Zhongzhi Shi; Shimo Shen (GrC, 2012)

Optimization of Initial Centroids for K-Means Algorithm Based on Small World Network. - Shimo Shen; Zuqiang Meng (IIP, 2012)

Extended rough set-based attribute reduction in inconsistent incomplete decision systems. - Zuqiang Meng; Zhongzhi Shi (Inf. Sci., 2012)

A Heuristic Approach to Acquisition of Minimum Decision Rule Sets in Decision Systems. - Zuqiang Meng; Liang Jiang; Hongyan Chang; Yuansheng Zhang (IIP, 2014)

一种基于拓扑信息的物流频繁路径挖掘算法 (Logistics Frequent Path Sequence Mining Algorithm Based on Topological Information). - Junyao Yang; Zuqiang Meng; Liang Jiang (计算机科学, 2015)

An Attribute-Value Block Based Method of Acquiring Minimum Rule Sets: A Granulation Method to Construct Classifier. - Zuqiang Meng; Qiuling Gan (IIP, 2016)

On quick attribute reduction in decision-theoretic rough set models. - Zuqiang Meng; Zhongzhi Shi (Inf. Sci., 2016)

一种新的决策粗糙集启发式属性约简算法 (New Heuristic Algorithm for Attribute Reduction in Decision-theoretic Rough Set). - Hongyan Chang; Zuqiang Meng (计算机科学, 2016)

On efficient methods of computing attribute-value blocks in incomplete decision systems. - Zuqiang Meng; Qiuling Gan; Zhongzhi Shi (Knowl. Based Syst., 2016)

A Fast Granular Method for Classifying Incomplete Inconsistent Data. - Zuqiang Meng; Hongli Li (ICIS, 2017)

The Optimization Algorithm of Circle Stock Problem with Standard Usage Leftover. - Chen Yan; Qiqi Xie; Qiulin Chen; Li Zhang; Yaodong Cui; Zuqiang Meng (ICIS, 2017)

Image Semantic Description Based on Deep Learning with Multi-attention Mechanisms. - Jian Yang; Zuqiang Meng (IIP, 2018)

运用信息增益和不一致度进行填补的属性约简算法 (Attribute Reduction Algorithm Using Information Gain and Inconsistency to Fill). - Hongli Li; Zuqiang Meng (计算机科学, 2018)

A Fractal Dimension and Empirical Mode Decomposition-Based Method for Protein Sequence Analysis. - Lina Yang; Pu Wei; Cheng Zhong; Zuqiang Meng; Patrick Shen-Pei Wang; Yuan Yan Tang (Int. J. Pattern Recognit. Artif. Intell., 2019)

Hyperspectral image classification using wavelet transform-based smooth ordering. - Lina Yang; Hailong Sun 001; Cheng Zhong; Zuqiang Meng; Huiwu Luo; Xichun Li; Yuan Yan Tang; Yang Lu 009 (Int. J. Wavelets Multiresolution Inf. Process., 2019)

基于哈希算法的异构多模态数据检索研究 (Study on Heterogeneous Multimodal Data Retrieval Based on Hash Algorithm). - Feng Chen; Zuqiang Meng (计算机科学, 2019)

On rule acquisition methods for data classification in heterogeneous incomplete decision systems. - Zuqiang Meng; Zhongzhi Shi (Knowl. Based Syst., 2020)

Abstractive Text Summarization Using Generative Adversarial Network and Relation Extraction. - Liwei Jing; Lina Yang; Xichun Li; Zuqiang Meng (CSCI, 2021)

A Fully Convolutional Neural Network Based on 2D-Unet in Cardiac MR Image Segmentation. - Yifeng Tan; Lina Yang; Xichun Li; Zuqiang Meng (CSCI, 2021)

Path-Enhanced Multi-hop Graph Attention Network for Aspect-based Sentiment Analysis. - Jiayi Wang; Lina Yang; Xichun Li; Zuqiang Meng (CSCI, 2021)

Stacked Generative Adversarial Networks for Image Generation based on U-Net discriminator. - Wanyan Feng; Zuqiang Meng; Lin Wang (CACML, 2022)

FFP: joint Fast Fourier transform and fractal dimension in amino acid property-aware phylogenetic analysis. - Wei Li; Lina Yang; Yu Qiu; Yujian Yuan; Xichun Li; Zuqiang Meng (BMC Bioinform., 2022)

Efficient plane extraction using normal estimation and RANSAC from 3D point cloud. - Lina Yang; Yuchen Li; Xichun Li; Zuqiang Meng; Huiwu Luo (Comput. Stand. Interfaces, 2022)

A multi-layer two-dimensional convolutional neural network for sentiment analysis. - Lin Wang; Zuqiang Meng; Lina Yang (Int. J. Bio Inspired Comput., 2022)

Phylogenetic Analysis: A Novel Method of Protein Sequence Similarity Analysis. - Wei Li; Lina Yang; Zuqiang Meng; Yu Qiu; Patrick Shen-Pei Wang; Xichun Li (Int. J. Pattern Recognit. Artif. Intell., 2022)

Improving Utterance Rewriter Based on MMI and Text Data Augmentation. - Lina Yang; Hai Lin; Wei Li; Zuqiang Meng; Patrick Shen-Pei Wang; Xichun Li; Huiwu Luo (Int. J. Pattern Recognit. Artif. Intell., 2022)

Multi-scale spatial-spectral fusion based on multi-input fusion calculation and coordinate attention for hyperspectral image classification. - Lina Yang; Fengqi Zhang; Patrick Shen-Pei Wang; Xichun Li; Zuqiang Meng (Pattern Recognit., 2022)

Multichannel Two-Dimensional Convolutional Neural Network Based on Interactive Features and Group Strategy for Chinese Sentiment Analysis. - Lin Wang 088; Zuqiang Meng (Sensors, 2022)

Automatic Detection of Bridge Surface Crack Using Improved YOLOv5s. - Haoyan Yang; Lina Yang; Thomas Wu 001; Zuqiang Meng; Youju Huang; Patrick Shen-Pei Wang; Peng Li; Xichun Li (Int. J. Pattern Recognit. Artif. Intell., 2022)

Towards Representation Alignment and Uniformity in Long-tailed Classification. - Yi Zheng; Zuqiang Meng (MMAsia, 2023)

Brea-Net: An Interpretable Dual-Attention Network for Imbalanced Breast Cancer Classification. - Yi Liang; Zuqiang Meng (IEEE Access, 2023)

Associating multiple vision transformer layers for fine-grained image representation. - Fayou Sun; Ngo Hea Choon; Yong Wee Sek; Zuqiang Meng (AI Open, 2023)

Edge-Labeled and Node-Aggregated Graph Neural Networks for Few-Shot Relation Classification. - Jiayi Wang; Lina Yang; Xichun Li; Patrick Shen-Pei Wang; Zuqiang Meng (Int. J. Pattern Recognit. Artif. Intell., 2023)

Image-to-Image Translation for Data Augmentation on Multimodal Medical Images. - Yue Peng; Zuqiang Meng; Lina Yang (IEICE Trans. Inf. Syst., 2023)

Loop and distillation: Attention weights fusion transformer for fine-grained representation. - Fayou Sun; Ngo Hea Choon; Zuqiang Meng; Yong Wee Sek (IET Comput. Vis., 2023)

Constraint-Based Adversarial Networks for Unsupervised Abstract Text Summarization. - Liwei Jing; Lina Yang; Yujian Yuan; Zuqiang Meng; Yifeng Tan; Patrick Shen-Pei Wang; Xichun Li (Int. J. Pattern Recognit. Artif. Intell., 2023)

A Deep Neural Network-Based Segmentation Method for Multimodal Brain Tumor Images. - Zuqiang Meng; Yue Peng (IIP (2), 2024)

Interpretable vision transformer based on prototype parts for COVID-19 detection. - Yang Xu; Zuqiang Meng (IET Image Process., 2024)

Concept-Based Reasoning Explanation for Deep Neural Networks: Drawing on Human Decision-Making. - Wenda Fu; Zuqiang Meng; Chaohong Tan (ICIC (21), 2025)

A self-adaptive framework of reducing domain bias under distribution shift for semi-supervised domain generalization. - Liangqing Hu; Zuqiang Meng (Appl. Soft Comput., 2025)

Interpretable neural network classification model using first-order logic rules. - Haiming Tuo; Zuqiang Meng; Zihao Shi; Daosheng Zhang (Neurocomputing, 2025)

Better Pseudo-Labeling for Semi-Supervised Domain Generalization in Medical Magnetic Resonance Image Segmentation. - Liangqing Hu; Zuqiang Meng; Chaohong Tan; Yumin Zhou (Int. J. Comput. Intell. Syst., 2025)