A novel quantum cooperative co-evolutionary algorithm for large-scale minimum attribute reduction optimization. - Weiping Ding 001; Quan Shi; Senbo Chen; Zhijin Guan; Jiandong Wang (CIDM, 2013)

A novel approach to minimum attribute reduction based on quantum-inspired self-adaptive cooperative co-evolution. - Weiping Ding 001; Jiandong Wang (Knowl. Based Syst., 2013)

A more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators. - Weiping Ding 001; Zhijin Guan; Quan Shi; Jiandong Wang (Inf. Sci., 2015)

A hierarchical-coevolutionary-MapReduce-based knowledge reduction algorithm with robust ensemble Pareto equilibrium. - Weiping Ding 001; Jiehua Wang; Jiandong Wang (Inf. Sci., 2016)

Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records. - Weiping Ding 001; Chin-Teng Lin; Mukesh Prasad; Senbo Chen; Zhijin Guan (IEEE Trans. Syst. Man Cybern. Syst., 2016)

A review of clustering techniques and developments. - Amit Saxena 001; Mukesh Prasad; Akshansh Gupta; Neha Bharill; Om Prakash Patel; Aruna Tiwari; Meng Joo Er; Weiping Ding 001; Chin-Teng Lin (Neurocomputing, 2017)

Soft-Boosted Self-Constructing Neural Fuzzy Inference Network. - Mukesh Prasad; Chin-Teng Lin; Dong-Lin Li; Chao-Ting Hong; Weiping Ding 001; Jyh-Yeong Chang (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Extending CDFR for Overlapping Community Detection. - Nannan Lu; Wenjian Luo; Li Ni; Hao Jiang; Weiping Ding 001 (ICDIS, 2018)

A Multimodel Fusion Engine for Filtering Webpages. - Ziyun Deng; Tingqin He; Weiping Ding 001; Zehong Cao (IEEE Access, 2018)

A Modified Distance Dynamics Model for Improvement of Community Detection. - Tao Meng; Lijun Cai; Tingqin He; Lei Chen 045; Ziyun Deng; Weiping Ding 001; Zehong Cao (IEEE Access, 2018)

Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI. - Weiping Ding 001; Chin-Teng Lin; Mukesh Prasad (Expert Syst. Appl., 2018)

Multiagent-consensus-MapReduce-based attribute reduction using co-evolutionary quantum PSO for big data applications. - Weiping Ding 001; Chin-Teng Lin; Senbo Chen; Xiaofeng Zhang; Bin Hu (Neurocomputing, 2018)

A method for synthesis and optimization for linear nearest neighbor quantum circuits by parallel processing. - Zongyuan Zhang; Zhijin Guan; Hong Zhang; Haiying Ma; Weiping Ding 001 (Quantum Inf. Comput., 2018)

Mapping from multiple-control Toffoli circuits to linear nearest neighbor quantum circuits. - Xueyun Cheng; Zhijin Guan; Weiping Ding 001 (Quantum Inf. Process., 2018)

A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue. - Weiping Ding 001; Chin-Teng Lin; Mukesh Prasad; Zehong Cao; Jiandong Wang (IEEE Trans. Fuzzy Syst., 2018)

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. - Mahardhika Pratama; Choiru Za'in; Andri Ashfahani; Yew-Soon Ong; Weiping Ding 001 (CIKM, 2019)

SVM-Based Feature Selection for Differential Space Fusion and Its Application to Diabetic Fundus Image Classification. - Weiping Ding 001 (IEEE Access, 2019)

A Graph Based Clustering Approach for Relation Extraction From Crime Data. - Priyanka Das 002; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi; Weiping Ding 001 (IEEE Access, 2019)

IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing. - Weiping Ding 001; Gary G. Yen; Gleb Beliakov; Isaac Triguero; Mahardhika Pratama; Xiangliang Zhang 001; Hongjun Li (IEEE Access, 2019)

Multiple Parameters Determination for Image and Video Reconstruction Using Genetic Algorithm and Generalized Stein's Unbiased Risk Estimation. - Zhi Dou; Lin Sun 002; Weiping Ding 001 (IEEE Access, 2019)

EOG-Based Eye Movement Classification and Application on HCI Baseball Game. - Chin-Teng Lin; Jung-Tai King; Priyanka Bharadwaj; Chih-Hao Chen; Akshansh Gupta; Weiping Ding 001; Mukesh Prasad (IEEE Access, 2019)

Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems. - Lin Sun 002; Tengyu Yin; Weiping Ding 001; Jiucheng Xu (IEEE Access, 2019)

A memetic algorithm using emperor penguin and social engineering optimization for medical data classification. - Santos Kumar Baliarsingh; Weiping Ding 001; Swati Vipsita; Sambit Bakshi (Appl. Soft Comput., 2019)

Subject adaptation network for EEG data analysis. - Yurui Ming; Weiping Ding 001; Danilo Pelusi; Dongrui Wu; Yu-Kai Wang; Mukesh Prasad; Chin-Teng Lin (Appl. Soft Comput., 2019)

Divergence measure of Pythagorean fuzzy sets and its application in medical diagnosis. - Fuyuan Xiao 001; Weiping Ding 001 (Appl. Soft Comput., 2019)

Hiding medical information in brain MR images without affecting accuracy of classifying pathological brain. - Swagatika Devi; Manmath Narayan Sahoo; Khan Muhammad 001; Weiping Ding 001; Sambit Bakshi (Future Gener. Comput. Syst., 2019)

A unified two-parallel-branch deep neural network for joint gland contour and segmentation learning. - Linbo Wang 001; Hui Zhen; Xianyong Fang; Shaohua Wan 001; Weiping Ding 001; Yanwen Guo 001 (Future Gener. Comput. Syst., 2019)

Semi-supervised feature learning for improving writer identification. - Shiming Chen 002; Yisong Wang; Chin-Teng Lin; Weiping Ding 001; Zehong Cao (Inf. Sci., 2019)

A hierarchical prototype-based approach for classification. - Xiaowei Gu; Weiping Ding 001 (Inf. Sci., 2019)

一种基于区块链技术的多阶段级联无线安全认证方案 (Multi-stage Cascade Wireless Security Authentication Scheme Based on Blockchain Technology). - Zhaopeng Hu; Weiping Ding 001; Zhan Gao; Xiaohui Zhu; Jiehua Wang (计算机科学, 2019)

Sequential three-way classifier with justifiable granularity. - Hengrong Ju; Witold Pedrycz; Huaxiong Li; Weiping Ding 001; Xibei Yang; Xianzhong Zhou (Knowl. Based Syst., 2019)

Recent Advances in Supervised Dimension Reduction: A Survey. - Guoqing Chao; Yuan Luo 001; Weiping Ding 001 (Mach. Learn. Knowl. Extr., 2019)

Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG. - Zehong Cao; Chin-Teng Lin; Weiping Ding 001; Mu-Hong Chen; Cheng-Ta Li; Tung-Ping Su (IEEE Trans. Biomed. Eng., 2019)

Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes. - Weiping Ding 001; Chin-Teng Lin; Zehong Cao (IEEE Trans. Cybern., 2019)

Robust Image Hashing Based Efficient Authentication for Smart Industrial Environment. - Muhammad Sajjad; Ijaz Ul Haq; Jaime Lloret 001; Weiping Ding 001; Khan Muhammad 001 (IEEE Trans. Ind. Informatics, 2019)

Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces. - Weiping Ding 001; Chin-Teng Lin; Zehong Cao (IEEE Trans. Neural Networks Learn. Syst., 2019)

OSUMI: On-Shelf Utility Mining from Itemset-based Data. - Jiahui Chen 002; Xu Guo 003; Wensheng Gan; Chien-Ming Chen 001; Weiping Ding 001; Guoting Chen (IEEE BigData, 2020)

A Fuzzy Theory Based Topological Distance Measurement for Undirected Multigraphs. - Jing He 004; Jinjun Chen; Guangyan Huang; Mengjiao Guo; Zhiwang Zhang; Hui Zheng; Yunyao Li 002; Ruchuan Wang 001; Weibei Fan; Chi-Hung Chi; Weiping Ding 001; Paulo A. de Souza; et al. (FUZZ-IEEE, 2020)

UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data. - Chien-Ming Chen 001; Lili Chen; Wensheng Gan; Lina Qiu; Weiping Ding 001 (SMC, 2020)

Multiple Lesions Detection of Fundus Images Based on Convolution Neural Network Algorithm With Improved SFLA. - Weiping Ding 001; Ying Sun; Longjie Ren; Hengrong Ju; Zhihao Feng; Ming Li 065 (IEEE Access, 2020)

Decision-Theoretic Rough Set: A Fusion Strategy. - Tao Yin; Xiaojuan Mao; Ying Zhang; Yiting Ma; Hengrong Ju; Weiping Ding 001 (IEEE Access, 2020)

A General Approach for Using Deep Neural Network for Digital Watermarking. - Yurui Ming; Weiping Ding 001; Zehong Cao; Chin-Teng Lin (CoRR, 2020)

CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network. - Shiming Chen 002; Wenjie Wang; Beihao Xia; Xinge You; Zehong Cao; Weiping Ding 001 (CoRR, 2020)

Graph based feature selection investigating boundary region of rough set for language identification. - Ghazaala Yasmin; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi; Weiping Ding 001 (Expert Syst. Appl., 2020)

Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements. - Chin-Teng Lin; Jung-Tai King; Chun-Hsiang Chuang; Weiping Ding 001; Wei-Yu Chuang; Lun-De Liao; Yu-Kai Wang (Int. J. Neural Syst., 2020)

Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy. - Zehong Cao; Weiping Ding 001; Yu-Kai Wang; Farookh Khadeer Hussain; Adel Al-Jumaily; Chin-Teng Lin (Neurocomputing, 2020)

A hierarchical meta-model for multi-class mental task based brain-computer interfaces. - Akshansh Gupta; R. K. Agrawal 001; Jyoti Singh Kirar; Baljeet Kaur; Weiping Ding 001; Chin-Teng Lin; Javier Andreu-Perez; Mukesh Prasad (Neurocomputing, 2020)

The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model. - Mohamed Abdel-Basset; Weiping Ding 001; Laila Abdel-Fatah (Inf. Fusion, 2020)

Current trends of granular data mining for biomedical data analysis. - Weiping Ding 001; Chin-Teng Lin; Alan Wee-Chung Liew; Isaac Triguero; Wenjian Luo (Inf. Sci., 2020)

Local community detection by the nearest nodes with greater centrality. - Wenjian Luo; Nannan Lu; Li Ni; Wenjie Zhu 005; Weiping Ding 001 (Inf. Sci., 2020)

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems. - Lin Sun 002; Tengyu Yin; Weiping Ding 001; Yuhua Qian; Jiucheng Xu (Inf. Sci., 2020)

Exploration of an innovative geometric parameter based on performance enhancement for foot print recognition. - Visvam Devadoss Ambeth Kumar; S. Malathi; R. Venkatesan; K. Ramalakshmi; K. Vengatesan; Weiping Ding 001; Abhishek Kumar (J. Intell. Fuzzy Syst., 2020)

Multigranulation consensus fuzzy-rough based attribute reduction. - Weiping Ding 001; Jiandong Wang; Jiehua Wang (Knowl. Based Syst., 2020)

Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems. - Lin Sun 002; Lanying Wang; Weiping Ding 001; Yuhua Qian; Jiucheng Xu (Knowl. Based Syst., 2020)

Foreword: Evolutionary data mining for big data. - Weiping Ding 001; Gary G. Yen; Xinye Cai; Zehong Cao (Swarm Evol. Comput., 2020)

A multi-objective adaptive evolutionary algorithm to extract communities in networks. - Qi Li 025; Zehong Cao; Weiping Ding 001; Qing Li 022 (Swarm Evol. Comput., 2020)

Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce. - Weiping Ding 001; Chin-Teng Lin; Witold Pedrycz (IEEE Trans. Cybern., 2020)

Guest Editorial for the Special Issue on Fuzzy Rough Sets for Big Data. - Weiping Ding 001; Witold Pedrycz; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2020)

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. - Renato William R. de Souza; João Vitor Chaves de Oliveira; Leandro A. Passos; Weiping Ding 001; João P. Papa; Victor Hugo C. de Albuquerque (IEEE Trans. Fuzzy Syst., 2020)

Fusing Fuzzy Monotonic Decision Trees. - Jieting Wang; Yuhua Qian; Feijiang Li; Jiye Liang; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2020)

Blockchain-Based Mobile Crowd Sensing in Industrial Systems. - Junqin Huang; Linghe Kong; Hong-Ning Dai; Weiping Ding 001; Long Cheng 005; Guihai Chen; Xi Jin 001; Peng Zeng 001 (IEEE Trans. Ind. Informatics, 2020)

Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis. - Qingyong Wang; Yun Zhou 001; Weiping Ding 001; Zhiguo Zhang 001; Khan Muhammad 001; Zehong Cao (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Adaptive FCM Clustering Algorithm Based On Twin Multiple Population Genetic Evolution. - Zhihao Feng; Weiping Ding 001; Jinxin Cao; Chudi Sun; Xinjie Shen; Haipeng Wang (DTPI, 2021)

Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction. - Xinjie Shen; Jiashuang Huang; Ying Sun; Ming Li 065; Bairu Pan; Weiping Ding 001 (DTPI, 2021)

An Improved SFLA-Kmeans Algorithm Based on Approximate Backbone and Its Application in Retinal Fundus Image. - Weiping Ding 001; Yi Zhang; Ying Sun; Tingzhen Qin (IEEE Access, 2021)

A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks. - Yintong Wang; Yingjie Yang; Weiping Ding 001; Shuo Li (IEEE Access, 2021)

A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection. - Mohamed Abdel-Basset; Weiping Ding 001; Doaa El-Shahat (Artif. Intell. Rev., 2021)

Intelligent system for COVID-19 prognosis: a state-of-the-art survey. - Janmenjoy Nayak; Bighnaraj Naik; Paidi Dinesh; Kanithi Vakula; B. Kameswara Rao; Weiping Ding 001; Danilo Pelusi (Appl. Intell., 2021)

Robust supervised rough granular description model with the principle of justifiable granularity. - Hengrong Ju; Weiping Ding 001; Xibei Yang; Hamido Fujita; Suping Xu (Appl. Soft Comput., 2021)

Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms. - Chirantana Mallick; Asit Kumar Das; Weiping Ding 001; Janmenjoy Nayak (Appl. Soft Comput., 2021)

Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications. - Amin Ullah; Khan Muhammad 001; Weiping Ding 001; Vasile Palade; Ijaz Ul Haq; Sung Wook Baik (Appl. Soft Comput., 2021)

DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. - Michail Mamalakis; Andrew J. Swift; Bart Vorselaars; Surajit Ray; Simonne Weeks; Weiping Ding 001; Richard H. Clayton; Louise S. Mackenzie; Abhirup Banerjee (Comput. Medical Imaging Graph., 2021)

Selection strategy in graph-based spreading dynamics with limited capacity. - Fei Xiong; Yu Zheng 013; Weiping Ding 001; Hao Wang 003; Xinyi Wang; Hongshu Chen (Future Gener. Comput. Syst., 2021)

Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization. - Priyanka Das 002; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi; Weiping Ding 001 (Neurocomputing, 2021)

Memory augmented convolutional neural network and its application in bioimages. - Weiping Ding 001; Yurui Ming; Yu-Kai Wang; Chin-Teng Lin (Neurocomputing, 2021)

Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data. - Weiping Ding 001; Janmenjoy Nayak; H. Swapnarekha; Ajith Abraham; Bighnaraj Naik; Danilo Pelusi (Neurocomputing, 2021)

Effective template update mechanism in visual tracking with background clutter. - Shuai Liu 002; Dongye Liu; Khan Muhammad 001; Weiping Ding 001 (Neurocomputing, 2021)

Discovering high utility-occupancy patterns from uncertain data. - Chien-Ming Chen 001; Lili Chen; Wensheng Gan; Lina Qiu; Weiping Ding 001 (Inf. Sci., 2021)

Locally GAN-generated face detection based on an improved Xception. - Beijing Chen; Xingwang Ju; Bin Xiao 002; Weiping Ding 001; Yuhui Zheng; Victor Hugo C. de Albuquerque (Inf. Sci., 2021)

Incremental classifier in crime prediction using bi-objective Particle Swarm Optimization. - Priyanka Das 002; Asit Kumar Das; Janmenjoy Nayak; Danilo Pelusi; Weiping Ding 001 (Inf. Sci., 2021)

RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash (Inf. Sci., 2021)

A network embedding-enhanced Bayesian model for generalized community detection in complex networks. - Dongxiao He; Youyou Wang; Jinxin Cao; Weiping Ding 001; Shizhan Chen; Zhiyong Feng 002; Bo Wang; Yuxiao Huang (Inf. Sci., 2021)

Semi-supervised label distribution learning via projection graph embedding. - Xiuyi Jia; Tao Wen; Weiping Ding 001; Huaxiong Li; Weiwei Li 001 (Inf. Sci., 2021)

Deep active learning for object detection. - Ying Li 001; Binbin Fan; Weiping Zhang 001; Weiping Ding 001; Jianwei Yin (Inf. Sci., 2021)

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification. - Lin Sun 002; Tianxiang Wang; Weiping Ding 001; Jiucheng Xu; Yaojin Lin (Inf. Sci., 2021)

Attribute reduction with fuzzy rough self-information measures. - Changzhong Wang; Yang Huang 009; Weiping Ding 001; Zehong Cao (Inf. Sci., 2021)

A novel fuzzy rough set model with fuzzy neighborhood operators. - Jin Ye; Jianming Zhan 001; Weiping Ding 001; Hamido Fujita (Inf. Sci., 2021)

WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation. - Nana Zhang; Shi Ying; Weiping Ding 001; Kun Zhu 024; Dandan Zhu (Inf. Sci., 2021)

An improved D-S evidence theory based neighborhood rough classification approach. - Tao Yin; Xiaojuan Mao; Xingtan Wu; Hengrong Ju; Weiping Ding 001; Xibei Yang (J. Intell. Fuzzy Syst., 2021)

HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning. - Linyao Yang; Xiao Wang 002; Yuxin Dai; Kejun Xin; Xiaolong Zheng 001; Weiping Ding 001; Jun Zhang 040; Fei-Yue Wang 001 (Knowl. Based Syst., 2021)

Density peaks clustering based on k-nearest neighbors and self-recommendation. - Lin Sun 002; Xiaoying Qin; Weiping Ding 001; Jiucheng Xu; Shiguang Zhang (Int. J. Mach. Learn. Cybern., 2021)

A comprehensive survey of multi-view video summarization. - Tanveer Hussain; Khan Muhammad 001; Weiping Ding 001; Jaime Lloret 001; Sung Wook Baik; Victor Hugo C. de Albuquerque (Pattern Recognit., 2021)

An augmented Tabu search algorithm for the green inventory-routing problem with time windows. - Mahdi Alinaghian; Erfan Babaee Tirkolaee; Zahra Kaviani Dezaki; Seyed Reza Hejazi; Weiping Ding 001 (Swarm Evol. Comput., 2021)

Toward the Development of Versatile Brain-Computer Interfaces. - Muhammad Tariq Sadiq; Xiaojun Yu; Zhaohui Yuan; Muhammad Zulkifal Aziz; Siuly Siuly; Weiping Ding 001 (IEEE Trans. Artif. Intell., 2021)

Smart Supervision of Cardiomyopathy Based on Fuzzy Harris Hawks Optimizer and Wearable Sensing Data Optimization: A New Model. - Weiping Ding 001; Mohamed Abdel-Basset; Khalid A. Eldrandaly; Laila Abdel-Fatah; Victor Hugo C. de Albuquerque (IEEE Trans. Cybern., 2021)

CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network. - Shiming Chen 002; Wenjie Wang; Beihao Xia; Xinge You; Qinmu Peng; Zehong Cao; Weiping Ding 001 (IEEE Trans. Evol. Comput., 2021)

Guest Editorial Evolutionary Computation Meets Deep Learning. - Weiping Ding 001; Witold Pedrycz; Gary G. Yen; Bing Xue 001 (IEEE Trans. Evol. Comput., 2021)

Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition. - Xinyan Liang; Qian Guo; Yuhua Qian; Weiping Ding 001; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2021)

Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments. - Weiping Ding 001; Nikhil R. Pal; Chin-Teng Lin; Yiu-ming Cheung; Zehong Cao; Wenjian Luo (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree. - Weiping Ding 001; Isaac Triguero; Chin-Teng Lin (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment. - Ye Shi 001; Chin-Teng Lin; Yu-Cheng Chang; Weiping Ding 001; Yuhui Shi; Xin Yao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

ANCS: Automatic NXDomain Classification System Based on Incremental Fuzzy Rough Sets Machine Learning. - Liming Fang 001; Xinyu Yun; Changchun Yin; Weiping Ding 001; Lu Zhou 002; Zhe Liu 001; Chunhua Su (IEEE Trans. Fuzzy Syst., 2021)

Multigranulation Supertrust Model for Attribute Reduction. - Weiping Ding 001; Witold Pedrycz; Isaac Triguero; Zehong Cao; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2021)

Explainable Fuzzy Utility Mining on Sequences. - Wensheng Gan; Zilin Du; Weiping Ding 001; Chunkai Zhang; Han-Chieh Chao (IEEE Trans. Fuzzy Syst., 2021)

Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest. - Fang-Qi Li 001; Shi-Lin Wang; Alan Wee-Chung Liew; Weiping Ding 001; Gongshen Liu (IEEE Trans. Fuzzy Syst., 2021)

A New Design of Mamdani Complex Fuzzy Inference System for Multiattribute Decision Making Problems. - Ganeshsree Selvachandran; Shio Gai Quek; Luong Thi Hong Lan; Le Hoang Son; Long Giang Nguyen; Weiping Ding 001; Mohamed Abdel-Basset; Victor Hugo C. de Albuquerque (IEEE Trans. Fuzzy Syst., 2021)

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets. - Lin Sun 002; Lanying Wang; Weiping Ding 001; Yuhua Qian; Jiucheng Xu (IEEE Trans. Fuzzy Syst., 2021)

Fuzzy and Real-Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment. - Weiping Ding 001; Janmenjoy Nayak; Bighnaraj Naik; Danilo Pelusi; Manohar Mishra (IEEE Trans. Ind. Informatics, 2021)

An Efficient and Scalable Simulation Model for Autonomous Vehicles With Economical Hardware. - Muhammad Sajjad; Muhammad Irfan; Khan Muhammad 001; Javier Del Ser; Javier J. Sánchez Medina; Sergey Andreev 001; Weiping Ding 001; Jong Weon Lee 002 (IEEE Trans. Intell. Transp. Syst., 2021)

Street View Text Recognition With Deep Learning for Urban Scene Understanding in Intelligent Transportation Systems. - Chongsheng Zhang; Weiping Ding 001; Guowen Peng; Feifei Fu; Wei Wang 012 (IEEE Trans. Intell. Transp. Syst., 2021)

On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI. - Akshansh Gupta; Ramesh Kumar Agrawal; Jyoti Singh Kirar; Javier Andreu-Perez; Weiping Ding 001; Chin-Teng Lin; Mukesh Prasad (IEEE Trans. Syst. Man Cybern. Syst., 2021)

An enhanced driver's risk perception modeling based on gate recurrent unit network. - Peng Ping; Weiping Ding 001; Yongkang Liu 005; Kazuya Takeda (IV, 2022)

Efficient Video Summarization for Smart Surveillance Systems. - Khan Muhammad 001; Tanveer Hussain; Javier Del Ser; Weiping Ding 001; Amir H. Gandomi; Victor Hugo C. de Albuquerque (SSCI, 2022)

A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks. - Jinxin Cao; Weizhong Xu; Di Jin 001; Xiaofeng Zhang; Anthony Miller; Lu Liu 001; Weiping Ding 001 (IEEE Access, 2022)

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph. - Weiping Ding 001; Bairu Pan; Hengrong Ju; Jiashuang Huang; Chun Cheng; Xinjie Shen; Yu Geng; Tao Hou (IEEE Access, 2022)

Editorial: special issue on multi-view learning. - Guoqing Chao; Xingquan Zhu 001; Weiping Ding 001; Jinbo Bi; Shiliang Sun (Appl. Intell., 2022)

Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information. - Jiahao Huang; Weiping Ding 001; Jun Lv; Jingwen Yang; Hao Dong 003; Javier Del Ser; Jun Xia; Tiaojuan Ren; Stephen Wong; Guang Yang 006 (Appl. Intell., 2022)

Mixed measure-based feature selection using the Fisher score and neighborhood rough sets. - Lin Sun 002; Jiuxiao Zhang; Weiping Ding 001; Jiucheng Xu (Appl. Intell., 2022)

Interval-valued intuitionistic fuzzy jenson-shannon divergence and its application in multi-attribute decision making. - Zhe Wang 040; Fuyuan Xiao 001; Weiping Ding 001 (Appl. Intell., 2022)

Target-aware U-Net with fuzzy skip connections for refined pancreas segmentation. - Yufei Chen 002; Chang Xu; Weiping Ding 001; Shichen Sun; Xiaodong Yue; Hamido Fujita (Appl. Soft Comput., 2022)

Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey. - Qinting Jiang; Xuanhong Zhou; Ruili Wang; Weiping Ding 001; Yi Chu; Sizhe Tang; Xiaoyun Jia; Xiaolong Xu 001 (Appl. Soft Comput., 2022)

Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction. - Christian Flores Vega; Jonathan Quevedo; Elmer Escandón; Mehrin Kiani; Weiping Ding 001; Javier Andreu-Perez (Appl. Soft Comput., 2022)

Generalized Susceptible-Exposed-Infectious-Recovered model and its contributing factors for analysing the death and recovery rates of the COVID-19 pandemic. - Felin Wilta; Allyson Li Chen Chong; Ganeshsree Selvachandran; Ketan Kotecha; Weiping Ding 001 (Appl. Soft Comput., 2022)

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. - Qinghao Ye; Yuan Gao 017; Weiping Ding 001; Zhangming Niu; Chengjia Wang; Yinghui Jiang; Minhao Wang; Evandro Fei Fang; Wade Menpes-Smith; Jun Xia; Guang Yang 006 (Appl. Soft Comput., 2022)

Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread. - Dixizi Liu; Weiping Ding 001; Zhijie Sasha Dong; Witold Pedrycz (Comput. Ind. Eng., 2022)

FAF: A novel multimodal emotion recognition approach integrating face, body and text. - Zhongyu Fang; Aoyun He; Qihui Yu; Baopeng Gao; Weiping Ding 001; Tong Zhang; Lei Ma (CoRR, 2022)

On-shelf utility mining from transaction database. - Jiahui Chen 002; Xu Guo 003; Wensheng Gan; Chien-Ming Chen 001; Weiping Ding 001; Guoting Chen (Eng. Appl. Artif. Intell., 2022)

Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis. - Diego García-Zamora; Álvaro Labella; Weiping Ding 001; Rosa M. Rodríguez 001; Luis Martínez 001 (IEEE CAA J. Autom. Sinica, 2022)

Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View. - Shuwen Wang; Xingquan Zhu 001; Weiping Ding 001; Amir Alipour Yengejeh (IEEE CAA J. Autom. Sinica, 2022)

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs. - Linyao Yang; Chen Lv; Xiao Wang 002; Ji Qiao; Weiping Ding 001; Jun Zhang 040; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2022)

Belief Combination of Classifiers for Incomplete Data. - Zuowei Zhang 001; Songtao Ye; Yiru Zhang; Weiping Ding 001; Hao Wang 003 (IEEE CAA J. Autom. Sinica, 2022)

An error correction prediction model based on three-way decision and ensemble learning. - Xianfeng Huang; Jianming Zhan 001; Weiping Ding 001; Witold Pedrycz (Int. J. Approx. Reason., 2022)

Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels. - Lin Sun 002; Tianxiang Wang; Weiping Ding 001; Jiucheng Xu; Anhui Tan (Int. J. Intell. Syst., 2022)

Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods. - Anubha Parashar; Rajveer Singh Shekhawat; Weiping Ding 001; Imad Rida (Neurocomputing, 2022)

Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy. - Lin Sun 002; Xiaoying Qin; Weiping Ding 001; Jiucheng Xu (Neurocomputing, 2022)

Variational learning of deep fuzzy theoretic nonparametric model. - Weiping Zhang 001; Mohit Kumar 001; Weiping Ding 001; Xiujuan Li; Junfeng Yu (Neurocomputing, 2022)

Poly-linear regression with augmented long short term memory neural network: Predicting time series data. - Supriyo Ahmed; Ripon K. Chakrabortty; Daryl Essam; Weiping Ding 001 (Inf. Sci., 2022)

Detecting deepfake videos based on spatiotemporal attention and convolutional LSTM. - Beijing Chen; Tianmu Li; Weiping Ding 001 (Inf. Sci., 2022)

Collaborative granular sieving: A deterministic multievolutionary algorithm for multimodal optimization problems. - Lei Dai; Liming Zhang 002; Zehua Chen; Weiping Ding 001 (Inf. Sci., 2022)

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Ahmed M. Ali 005 (Inf. Sci., 2022)

Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Nour Moustafa (Inf. Sci., 2022)

Parallel incremental efficient attribute reduction algorithm based on attribute tree. - Weiping Ding 001; Tingzhen Qin; Xinjie Shen; Hengrong Ju; Haipeng Wang; Jiashuang Huang; Ming Li 065 (Inf. Sci., 2022)

Computing Sufficient and Necessary Conditions in CTL: A Forgetting Approach. - Renyan Feng; Erman Acar; Yisong Wang; Wanwei Liu; Stefan Schlobach; Weiping Ding 001 (Inf. Sci., 2022)

Attribute reduction with personalized information granularity of nearest mutual neighbors. - Hengrong Ju; Weiping Ding 001; Zhen-Quan Shi; Jiashuang Huang; Jie Yang; Xibei Yang (Inf. Sci., 2022)

A novel severity calibration algorithm for defect detection by constructing maps. - Ying Li 001; Binbin Fan; Weiping Ding 001; Weiping Zhang 001; Jianwei Yin (Inf. Sci., 2022)

AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data. - Lin Sun 002; Mengmeng Li; Weiping Ding 001; En Zhang; Xiaoxia Mu; Jiucheng Xu (Inf. Sci., 2022)

Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors. - Lin Sun 002; Jiuxiao Zhang; Weiping Ding 001; Jiucheng Xu (Inf. Sci., 2022)

A novel three-way decision approach in decision information systems. - Jin Ye; Jianming Zhan 001; Weiping Ding 001; Hamido Fujita (Inf. Sci., 2022)

An incremental learning mechanism for object classification based on progressive fuzzy three-way concept. - Kehua Yuan; Weihua Xu 003; Wentao Li 004; Weiping Ding 001 (Inf. Sci., 2022)

Dynamic information fusion in multi-source incomplete interval-valued information system with variation of information sources and attributes. - Xiaoyan Zhang 003; Xiuwei Chen; Weihua Xu 003; Weiping Ding 001 (Inf. Sci., 2022)

IVKMP: A robust data-driven heterogeneous defect model based on deep representation optimization learning. - Kun Zhu 024; Shi Ying; Weiping Ding 001; Nana Zhang; Dandan Zhu (Inf. Sci., 2022)

TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification. - Lin Sun 002; Xinya Wang; Weiping Ding 001; Jiucheng Xu (Knowl. Based Syst., 2022)

Network pruning via probing the importance of filters. - Jiandong Kuang; Mingwen Shao; Ran Wang 001; Wangmeng Zuo; Weiping Ding 001 (Int. J. Mach. Learn. Cybern., 2022)

Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving. - Chongsheng Zhang; Yuefeng Tao; Kai Du; Weiping Ding 001; Bin Wang 062; Ji Liu 003; Wei Wang 012 (IEEE Trans. Artif. Intell., 2022)

A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject-Specific Tasks. - Muhammad Tariq Sadiq; Xiaojun Yu; Zhaohui Yuan; Muhammad Zulkifal Aziz; Siuly Siuly; Weiping Ding 001 (IEEE Trans. Cogn. Dev. Syst., 2022)

A Generalized Deep Neural Network Approach for Digital Watermarking Analysis. - Weiping Ding 001; Yurui Ming; Zehong Cao; Chin-Teng Lin (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition. - Muhammad Tariq Sadiq; Xiaojun Yu; Zhaohui Yuan; Muhammad Zulkifal Aziz; Naveed ur Rehman; Weiping Ding 001; Gaoxi Xiao (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

A Spectral Feature Selection Approach With Kernelized Fuzzy Rough Sets. - Jinkun Chen; Yaojin Lin; Jusheng Mi; Shaozi Li; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2022)

A Majority Rule-Based Measure for Atanassov-Type Intuitionistic Membership Grades in MCDM. - Cuiping Cheng; Weiping Ding 001; Fuyuan Xiao 001; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2022)

Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2022)

An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images. - Weiping Ding 001; Shouvik Chakraborty; Kalyani Mali; Sankhadeep Chatterjee; Janmenjoy Nayak; Asit Kumar Das; Soumen Banerjee (IEEE Trans. Fuzzy Syst., 2022)

Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers. - Fang-Qi Li 001; Ruijie Zhao 001; Shi-Lin Wang; Li-Bo Chen 001; Alan Wee-Chung Liew; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2022)

High-Efficient Fuzzy Querying With HiveQL for Big Data Warehousing. - Bozena Malysiak-Mrozek; Jadwiga Wieszok; Witold Pedrycz; Weiping Ding 001; Dariusz Mrozek (IEEE Trans. Fuzzy Syst., 2022)

Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy. - Lin Sun 002; Tengyu Yin; Weiping Ding 001; Yuhua Qian; Jiucheng Xu (IEEE Trans. Fuzzy Syst., 2022)

Feature Selection With Fuzzy-Rough Minimum Classification Error Criterion. - Changzhong Wang; Yuhua Qian; Weiping Ding 001; Xiaodong Fan (IEEE Trans. Fuzzy Syst., 2022)

A Novel Three-Way Decision Model Based on Utility Theory in Incomplete Fuzzy Decision Systems. - Jianming Zhan 001; Jin Ye; Weiping Ding 001; Peide Liu (IEEE Trans. Fuzzy Syst., 2022)

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1. - Jerry Chun-Wei Lin; Nachiketa Sahoo; Gautam Srivastava 001; Weiping Ding 001 (ACM Trans. Manag. Inf. Syst., 2022)

Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part II. - Jerry Chun-Wei Lin; Nachiketa Sahoo; Gautam Srivastava 001; Weiping Ding 001 (ACM Trans. Manag. Inf. Syst., 2022)

Deep Learning Techniques for IoT Security and Privacy - Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Weiping Ding 001 (Springer, 2022)

No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism. - Changzhong Wang; Xiang Lv; Weiping Ding 001; Xiaodong Fan (Soft Comput., 2022)

Blockchain-Based System for Vaccine Traceability. - Xining Zhuji; Jiehua Wang; Weiping Ding 001; Weixiang Wu (ICDM (Workshops), 2023)

An Ultra-short-Term Wind Speed Prediction Method Based on Spatio-Temporal Feature Decomposition and Multi Feature Fusion Network. - Xuewei Li 001; Guanrong He; Jian Yu; Zhiqiang Liu 002; Mei Yu; Wei-Ping Ding 001; Wei Xiong (ICIC (5), 2023)

Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network. - Weiping Ding 001; Xinjie Shen; Jiashuang Huang; Hengrong Ju; Yuepeng Chen; Tao Yin (IEEE Access, 2023)

A novel prospect-theory-based three-way decision methodology in multi-scale information systems. - Jiang Deng; Jianming Zhan 001; Weiping Ding 001; Peide Liu; Witold Pedrycz (Artif. Intell. Rev., 2023)

Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review. - Anubha Parashar; Apoorva Parashar; Weiping Ding 001; Rajveer Singh Shekhawat; Imad Rida (Artif. Intell. Rev., 2023)

A three-way decision method with tolerance dominance relations in decision information systems. - Wenjie Wang; Jianming Zhan 001; Weiping Ding 001; Shuping Wan (Artif. Intell. Rev., 2023)

Special issue on fuzzy systems for biomedical science in healthcare. - Weiping Ding 001; Javier Andréu Pérez; Yiu-ming Cheung; Swagatam Das; Xiaodong Yue; Dariusz Mrozek (Appl. Soft Comput., 2023)

Risk assessment approach for analyzing risk factors to overcome pandemic using interval-valued q-rung orthopair fuzzy decision making method. - Sükran Seker; Fatma Betül Baglan; Nezir Aydin; Muhammet Deveci; Weiping Ding 001 (Appl. Soft Comput., 2023)

Efficient Evaluation Methods for Neural Architecture Search: A Survey. - Xiangning Xie; Xiaotian Song; Zeqiong Lv; Gary G. Yen; Weiping Ding 001; Yanan Sun 001 (CoRR, 2023)

Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement. - Che Liu; Sibo Cheng; Weiping Ding 001; Rossella Arcucci (CoRR, 2023)

EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning. - Shiming Chen 002; Shihuang Chen; Wenjin Hou; Weiping Ding 001; Xinge You (CoRR, 2023)

DNFS-VNE: Deep Neuro-Fuzzy System-Driven Virtual Network Embedding Algorithm. - Ailing Xiao; Ning Chen; Sheng Wu 001; Shigen Shen; Weiping Ding 001; Peiying Zhang (CoRR, 2023)

Survey on deep learning in multimodal medical imaging for cancer detection. - Yan Tian; Zhaocheng Xu; Yujun Ma; Weiping Ding 001; Ruili Wang; Zhihong Gao; Guohua Cheng; Linyang He; Xuran Zhao (CoRR, 2023)

Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities. - Runwei Guan; Haocheng Zhao; Shanliang Yao; Ka Lok Man; Xiaohui Zhu; Limin Yu; Yong Yue 001; Jeremy S. Smith; Eng Gee Lim; Weiping Ding 001; Yutao Yue (CoRR, 2023)

Enhancing motion visual cues for self-supervised video representation learning. - Mu Nie; Zhibin Quan; Weiping Ding 001; Wankou Yang (Eng. Appl. Artif. Intell., 2023)

A Fermatean fuzzy Fine-Kinney for occupational risk evaluation using extensible MARCOS with prospect theory. - Weizhong Wang; Xiao Han; Weiping Ding 001; Qun Wu; Xiaoqing Chen; Muhammet Deveci (Eng. Appl. Artif. Intell., 2023)

A novel rough numbers based extended MACBETH method for the prioritization of the connected autonomous vehicles in real-time traffic management. - Ilgin Gökasar; Dragan Pamucar; Muhammet Deveci; Weiping Ding 001 (Expert Syst. Appl., 2023)

Attacks Against Cross-Chain Systems and Defense Approaches: A Contemporary Survey. - Li Duan; Yangyang Sun; Wei Ni 001; Weiping Ding 001; Jiqiang Liu; Wei Wang 012 (IEEE CAA J. Autom. Sinica, 2023)

A Quantum Tanimoto Coefficient Fidelity for Entanglement Measurement. - Yangyang Zhao; Fuyuan Xiao 001; Masayoshi Aritsugi; Weiping Ding 001 (IEEE CAA J. Autom. Sinica, 2023)

Distracted driving detection based on the fusion of deep learning and causal reasoning. - Peng Ping; Cong Huang; Weiping Ding 001; Yongkang Liu 005; Chiyomi Miyajima; Kazuya Takeda (Inf. Fusion, 2023)

Special issue on Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data. - Weiping Ding 001; Jun Liu 001; Chin-Teng Lin; Dariusz Mrozek (Inf. Sci., 2023)

Multi-modal fusion network with complementarity and importance for emotion recognition. - Shuai Liu 002; Peng Gao; Yating Li; Weina Fu; Weiping Ding 001 (Inf. Sci., 2023)

Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions. - Shradha Verma; Tripti Goel; Muhammad Tanveer 001; Weiping Ding 001; Rahul Sharma; R. Murugan (J. Ambient Intell. Humaniz. Comput., 2023)

Attention-based multimodal glioma segmentation with multi-attention layers for small-intensity dissimilarity. - Xiangbin Liu; Shufen Hou; Shuai Liu 002; Weiping Ding 001; Yudong Zhang 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

SD-CNN: A static-dynamic convolutional neural network for functional brain networks. - Jiashuang Huang; Mingliang Wang; Hengrong Ju; Zhen-Quan Shi; Weiping Ding 001; Daoqiang Zhang (Medical Image Anal., 2023)

BSSFS: binary sparrow search algorithm for feature selection. - Lin Sun 002; Shanshan Si; Weiping Ding 001; Jiucheng Xu; Yan Zhang (Int. J. Mach. Learn. Cybern., 2023)

Amer: A New Attribute-Missing Network Embedding Approach. - Di Jin 001; Rui Wang 102; Tao Wang 074; Dongxiao He; Weiping Ding 001; Yuxiao Huang; Longbiao Wang; Witold Pedrycz (IEEE Trans. Cybern., 2023)

MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Osama M. Elkomy (IEEE Trans. Cybern., 2023)

Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine. - Lin Sun 002; Tianxiang Wang; Weiping Ding 001; Jiucheng Xu (IEEE Trans. Fuzzy Syst., 2023)

Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity. - Wentao Li 004; Shichao Zhai; Weihua Xu 003; Witold Pedrycz; Yuhua Qian; Weiping Ding 001; Tao Zhan (IEEE Trans. Fuzzy Syst., 2023)

Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels. - Jinghua Liu; Yaojin Lin; Weiping Ding 001; Hongbo Zhang 002; Jixiang Du (IEEE Trans. Fuzzy Syst., 2023)

Robust Correlation Filter Learning With Continuously Weighted Dynamic Response for UAV Visual Tracking. - Yang Zhang; Yu-Feng Yu; Long Chen 001; Weiping Ding 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods. - Ganeshsree Selvachandran; Shio Gai Quek; Raveendran Paramesran; Weiping Ding 001; Le Hoang Son (Artif. Intell. Rev., 2023)

Three-Way Behavioral Decision Making With Hesitant Fuzzy Information Systems: Survey and Challenges. - Jianming Zhan 001; Jiajia Wang; Weiping Ding 001; Yiyu Yao (IEEE CAA J. Autom. Sinica, 2023)

TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm. - Lin Sun 002; Xinya Wang; Weiping Ding 001; Jiucheng Xu; Huili Meng (Int. J. Mach. Learn. Cybern., 2023)

An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution. - Weihua Xu 003; Kehua Yuan; Wentao Li 004; Weiping Ding 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

DNS Rebinding Threat Modeling and Security Analysis for Local Area Network of Maritime Transportation Systems. - Xudong He; Jian Wang 015; Jiqiang Liu; Weiping Ding 001; Zhen Han; Bin Wang 062; Jamel Nebhen; Wei Wang 012 (IEEE Trans. Intell. Transp. Syst., 2023)

Intrusion Detection for Maritime Transportation Systems With Batch Federated Aggregation. - Wentao Liu; Xiaolong Xu 001; Lianxiang Wu; Lianyong Qi; Alireza Jolfaei; Weiping Ding 001; Mohammad Reza Khosravi (IEEE Trans. Intell. Transp. Syst., 2023)

An empirical study on the joint impact of feature selection and data resampling on imbalance classification. - Chongsheng Zhang; Paolo Soda; Jingjun Bi; Gaojuan Fan; George Almpanidis; Salvador García; Weiping Ding 001 (Appl. Intell., 2023)

Multi-label feature selection based on label distribution and neighborhood rough set. - Jinghua Liu; Yaojin Lin; Weiping Ding 001; Hongbo Zhang 002; Cheng Wang 003; Jixiang Du (Neurocomputing, 2023)

Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring. - Shuai Liu 002; Shuai Wang; Xinyu Liu 012; Jianhua Dai; Khan Muhammad 001; Amir H. Gandomi; Weiping Ding 001; Mohammad Hijji; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2023)

Motor imagery classification via stacking-based Takagi-Sugeno-Kang fuzzy classifier ensemble. - Yuanpeng Zhang; Weiping Ding 001 (Knowl. Based Syst., 2023)

A Diabetes Prediction System Based on Incomplete Fused Data Sources. - Zhaoyi Yuan; Hao Ding; Guoqing Chao; Mingqiang Song; Lei Wang; Weiping Ding 001; Dianhui Chu (Mach. Learn. Knowl. Extr., 2023)

Variational Autoencoder Based Imbalanced COVID-19 Detection Using Chest X-Ray Images. - Sankhadeep Chatterjee; Soumyajit Maity; Mayukh Bhattacharjee; Soumen Banerjee; Asit Kumar Das; Weiping Ding 001 (New Gener. Comput., 2023)

Generalized Interval Type-II Fuzzy Rough Model-Based Feature Discretization for Mixed Pixels. - Qiong Chen; Weiping Ding 001; Xiaomeng Huang; Hao Wang 003 (IEEE Trans. Fuzzy Syst., 2023)

Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0. - Ripon K. Chakrabortty; Mohammad Humyun Fuad Rahman; Weiping Ding 001 (IEEE Trans. Ind. Informatics, 2023)

Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification. - Chongsheng Zhang; Paolo Soda; Jingjun Bi; Gaojuan Fan; George Almpanidis; Salvador García; Weiping Ding 001 (Appl. Intell., 2023)

Pixel and region level information fusion in membership regularized fuzzy clustering for image segmentation. - Li Guo 016; Pengfei Shi; Long Chen 001; Chenglizhao Chen; Weiping Ding 001 (Inf. Fusion, 2023)

TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification. - Yuanpeng Zhang; Guanjin Wang; Xiuyu Huang; Weiping Ding 001 (Inf. Fusion, 2023)

MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Witold Pedrycz (Inf. Sci., 2023)

HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks. - Gholamreza Haseli; Ramin Ranjbarzadeh; Mostafa Hajiaghaei-Keshteli; Saeid Jafarzadeh Ghoushchi; Aliakbar Hasani; Muhammet Deveci; Weiping Ding 001 (Inf. Sci., 2023)

An access control model for medical big data based on clustering and risk. - Rong Jiang; Shanshan Han; Yimin Yu; Weiping Ding 001 (Inf. Sci., 2023)

A novel fuel supply system modelling approach for electric vehicles under Pythagorean probabilistic hesitant fuzzy sets. - Sarah Qahtan; Hassan A. AlSattar; A. A. Zaidan 001; Muhammet Deveci; Dragan Pamucar; Weiping Ding 001 (Inf. Sci., 2023)

Finger Vein Image Deblurring Using Neighbors-Based Binary-GAN (NB-GAN). - Jing He 014; Lei Shen; Yudong Yao; Huaxia Wang; Guodong Zhao; Xiaowei Gu; Weiping Ding 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization. - Lin Sun 002; Yusheng Chen; Weiping Ding 001; Jiucheng Xu; Yuanyuan Ma (Appl. Soft Comput., 2023)

Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction. - Yinxin Bao; Jiashuang Huang; Qinqin Shen; Yang Cao 014; Weiping Ding 001; Zhen-Quan Shi; Quan Shi (Eng. Appl. Artif. Intell., 2023)

Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers. - K. Venkatachalam 001; Zaoli Yang; Pavel Trojovský; Nebojsa Bacanin; Muhammet Deveci; Weiping Ding 001 (Inf. Sci., 2023)

Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection. - Shuang An; Mengru Zhang; Changzhong Wang; Weiping Ding 001 (Fuzzy Sets Syst., 2023)

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. - Sibo Cheng; César Quilodrán Casas; Said Ouala; Alban Farchi; Che Liu; Pierre Tandeo; Ronan Fablet; Didier Lucor; Bertrand Iooss; Julien Brajard; Dunhui Xiao; Tijana Janjic; et al. (IEEE CAA J. Autom. Sinica, 2023)

Disambiguation-based partial label feature selection via feature dependency and label consistency. - Wenbin Qian; Yihui Li; Qianzhi Ye; Weiping Ding 001; Wenhao Shu (Inf. Fusion, 2023)

Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Sara Abdel-Razek; Chuansheng Liu (Inf. Sci., 2023)

A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning. - Xuewei Li 001; Jinming Ma; Jian Yu; Mankun Zhao; Mei Yu; Hongwei Liu; Weiping Ding 001; Ruiguo Yu (Inf. Sci., 2023)

On development of multimodal named entity recognition using part-of-speech and mixture of experts. - Jianying Chen; Yun Xue; Haolan Zhang 001; Weiping Ding 001; Zhengxuan Zhang; Jiehai Chen (Int. J. Mach. Learn. Cybern., 2023)

Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment. - Deepak Kumar Jain; Weiping Ding 001; Ketan Kotecha (Int. J. Mach. Learn. Cybern., 2023)

Editorial: Special Issue on Transfer Learning. - Guoqing Chao; Xingquan Zhu 001; Weiping Ding 001; Jinbo Bi; Shiliang Sun (Neural Process. Lett., 2023)

Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering. - Weiping Ding 001; Zhihao Feng; Javier Andreu-Perez; Witold Pedrycz (Neural Process. Lett., 2023)

A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets. - Weihua Xu 003; Yanzhou Pan; Xiuwei Chen; Weiping Ding 001; Yuhua Qian (IEEE Trans. Big Data, 2023)

Two-Way Concept-Cognitive Learning Method: A Fuzzy-Based Progressive Learning. - Weihua Xu 003; Doudou Guo; Yuhua Qian; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2023)

Graph based fuzzy clustering algorithm for crime report labelling. - Aparna Pramanik; Asit Kumar Das; Weiping Ding 001 (Appl. Soft Comput., 2023)

Distributed state-of-charge estimation for lithium-ion batteries with random sensor failure under dynamic event-triggering protocol. - Cong Huang; Weiping Ding 001; Ruifeng Gao; Peng Mei; Hamid Reza Karimi (Inf. Fusion, 2023)

TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data. - Lin Sun 002; Shanshan Si; Weiping Ding 001; Xinya Wang; Jiucheng Xu (Inf. Fusion, 2023)

Internet of Behaviors: A Survey. - Jiayi Sun; Wensheng Gan; Han-Chieh Chao; Philip S. Yu; Weiping Ding 001 (IEEE Internet Things J., 2023)

PKET-GCN: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction. - Yinxin Bao; Jiali Liu; Qinqin Shen; Yang Cao 014; Weiping Ding 001; Quan Shi (Inf. Sci., 2023)

DeepAK-IoT: An effective deep learning model for cyberattack detection in IoT networks. - Weiping Ding 001; Mohamed Abdel-Basset; Reda Mohamed (Inf. Sci., 2023)

Information granules-based long-term forecasting of time series via BPNN under three-way decision framework. - Chenglong Zhu; Xueling Ma; Chao Zhang 046; Weiping Ding 001; Jianming Zhan 001 (Inf. Sci., 2023)

Target-oriented multimodal sentiment classification by using topic model and gating mechanism. - Zhengxin Song; Yun Xue; Donghong Gu; Haolan Zhang 001; Weiping Ding 001 (Int. J. Mach. Learn. Cybern., 2023)

Two-channel deep recursive multi-scale network based on multi-attention for no-reference image quality assessment. - Changzhong Wang; Xiang Lv; Xiaodong Fan; Weiping Ding 001; Xiaoli Jiang (Int. J. Mach. Learn. Cybern., 2023)

From Corrective to Predictive Maintenance - A Review of Maintenance Approaches for the Power Industry. - Marek Moleda; Bozena Malysiak-Mrozek; Weiping Ding 001; Vaidy S. Sunderam; Dariusz Mrozek (Sensors, 2023)

A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set. - Sarah Qahtan; Aws Alaa Zaidan; Hassan Abdulsattar Ibrahim; Muhammet Deveci; Weiping Ding 001; Dragan Pamucar (Expert Syst. Appl., 2023)

Mining and reasoning of data uncertainty-induced imprecision in deep image classification. - Zuowei Zhang 001; Liangbo Ning; Zechao Liu; Qingyu Yang; Weiping Ding 001 (Inf. Fusion, 2023)

Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information. - Tengbiao Li; Junsheng Qiao; Weiping Ding 001 (Inf. Sci., 2023)

Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches. - Anubha Parashar; Apoorva Parashar; Weiping Ding 001; Mohammad Shabaz; Imad Rida (Pattern Recognit. Lett., 2023)

A Variation-Aware Quantum Circuit Mapping Approach Based on Multi-Agent Cooperation. - Pengcheng Zhu 002; Weiping Ding 001; Lihua Wei; Xueyun Cheng; Zhijin Guan; Shiguang Feng (IEEE Trans. Computers, 2023)

Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement. - Guojin Zhong; Weiping Ding 001; Long Chen 001; Yingxu Wang 002; Yu-Feng Yu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation. - Zuowei Zhang 001; Songtao Ye; Zechao Liu; Hao Wang 003; Weiping Ding 001 (IEEE J. Biomed. Health Informatics, 2023)

Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy. - Xiaobo Li; Qiyong Fu; Qi Li 025; Weiping Ding 001; Feilong Lin; Zhonglong Zheng (Appl. Soft Comput., 2023)

Bi-directional adaptive neighborhood rough sets based attribute subset selection. - Hengrong Ju; Weiping Ding 001; Xibei Yang; Pingping Gu (Int. J. Approx. Reason., 2023)

Vision-knowledge fusion model for multi-domain medical report generation. - Dexuan Xu; Huashi Zhu; Yu Huang 004; Zhi Jin; Weiping Ding 001; Hang Li; Menglong Ran (Inf. Fusion, 2023)

Assessor-guided learning for continual environments. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Edwin Lughofer; Weiping Ding 001; Wisnu Jatmiko (Inf. Sci., 2023)

Dual-stream EfficientNet with adversarial sample augmentation for COVID-19 computer aided diagnosis. - Weijie Xu; Lina Nie; Beijing Chen; Weiping Ding 001 (Comput. Biol. Medicine, 2023)

HAR-DeepConvLG: Hybrid deep learning-based model for human activity recognition in IoT applications. - Weiping Ding 001; Mohamed Abdel-Basset; Reda Mohamed (Inf. Sci., 2023)

MAP-FCRNN: Multi-step ahead prediction model using forecasting correction and RNN model with memory functions. - Rongtao Zhang; Xueling Ma; Weiping Ding 001; Jianming Zhan 001 (Inf. Sci., 2023)

Deep learning in multimodal medical imaging for cancer detection. - Priti Bansal; Vincenzo Piuri; Vasile Palade; Weiping Ding 001 (Neural Comput. Appl., 2023)

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. - Jintao Huang; Wenbin Qian; Chi-Man Vong; Weiping Ding 001; Wenhao Shu; Qin Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Fuzzy Rough Sets-Based Incremental Feature Selection for Hierarchical Classification. - Wanli Huang; Yanhong She; Xiaoli He; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2023)

Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint. - Weihua Xu 003; Doudou Guo; Jusheng Mi; Yuhua Qian; Keyin Zheng; Weiping Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A multi-attribute decision-making fusion model for stock trading with customizable investor personality traits in a picture fuzzy environment. - Shio Gai Quek; Ganeshsree Selvachandran; Angie Yih Tsyr Wong; Feng Shin Wong; Weiping Ding 001; Ajith Abraham (Appl. Soft Comput., 2023)

Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data. - Lin Sun 002; Shanshan Si; Weiping Ding 001; Xinya Wang; Jiucheng Xu (Appl. Soft Comput., 2023)

An integrated decision support framework for resilient vaccine supply chain network design. - Erfan Babaee Tirkolaee; Ali Ebadi Torkayesh; Madjid Tavana; Alireza Goli; Vladimir Simic; Weiping Ding 001 (Eng. Appl. Artif. Intell., 2023)

FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation. - Weiping Ding 001; Haipeng Wang; Jiashuang Huang; Hengrong Ju; Yu Geng; Chin-Teng Lin; Witold Pedrycz (Inf. Fusion, 2023)

Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems. - Xianfeng Huang; Jianming Zhan 001; Weiping Ding 001; Witold Pedrycz (Inf. Fusion, 2023)

Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysis. - Zuhe Li; Qingbing Guo; Yushan Pan; Weiping Ding 001; Jun Yu 011; Yazhou Zhang; Weihua Liu; Haoran Chen; Hao Wang 003; Ying Xie (Inf. Fusion, 2023)

Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction. - Hebing Nie; Qun Wu; Haifeng Zhao; Weiping Ding 001; Muhammet Deveci (Inf. Fusion, 2023)

Three-way decision-based conditional probabilities by opinion scores and Bayesian rules in circular-Pythagorean fuzzy sets for developing sustainable smart living framework. - Hassan A. AlSattar; Sarah Qahtan; Nahia Mourad; A. A. Zaidan 001; Muhammet Deveci; Chiranjibe Jana; Weiping Ding 001 (Inf. Sci., 2023)

Multi-label feature selection based on correlation label enhancement. - Zhuoxin He; Yaojin Lin; Chenxi Wang; Lei Guo 020; Weiping Ding 001 (Inf. Sci., 2023)

Reward shaping with hierarchical graph topology. - Jianghui Sang; Yongli Wang; Weiping Ding 001; Zaki Ahmadkhan; Lin Xu (Pattern Recognit., 2023)

Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation. - Eric Ke Wang; Zicong Chen; Xilin Dang; Xuan Fan; Xuming Han; Chien-Ming Chen 001; Weiping Ding 001; Siu-Ming Yiu; Jian Weng 001 (Pattern Recognit., 2023)

Neighborhood Rough Residual Network-Based Outlier Detection Method in IoT-Enabled Maritime Transportation Systems. - Qiong Chen; Liangru Xie; Lirong Zeng; Sining Jiang; Weiping Ding 001; Xiaomeng Huang; Hao Wang 003 (IEEE Trans. Intell. Transp. Syst., 2023)

M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion. - Doudou Guo; Weihua Xu 003; Yuhua Qian; Weiping Ding 001 (Inf. Fusion, 2023)

A survey on fairness-aware recommender systems. - Di Jin 001; Luzhi Wang; He Zhang 012; Yizhen Zheng; Weiping Ding 001; Feng Xia 001; Shirui Pan (Inf. Fusion, 2023)

A survey on multi-label feature selection from perspectives of label fusion. - Wenbin Qian; Jintao Huang; Fankang Xu; Wenhao Shu; Weiping Ding 001 (Inf. Fusion, 2023)

A survey on graph embedding techniques for biomedical data: Methods and applications. - Yaozu Wu; Yankai Chen 001; Zhishuai Yin; Weiping Ding 001; Irwin King (Inf. Fusion, 2023)

TWC-EL: A multivariate prediction model by the fusion of three-way clustering and ensemble learning. - Xunjin Wu; Jianming Zhan 001; Weiping Ding 001 (Inf. Fusion, 2023)

Information fusion for multi-scale data: Survey and challenges. - Qinghua Zhang 001; Ying Yang; Yunlong Cheng; Guoyin Wang 001; Weiping Ding 001; Wei-Zhi Wu 001; Danilo Pelusi (Inf. Fusion, 2023)

MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs. - Bin Zhu; Meng Wu 004; Yunpeng Hong; Yi Chen; Bo Xie; Fei Liu 038; Chenyang Bu; Weiping Ding 001 (Inf. Fusion, 2023)

PI-ELM: Reinforcement learning-based adaptable policy improvement for dynamical system. - Yingbai Hu; Xu Wang; Yueyue Liu; Weiping Ding 001; Alois Knoll (Inf. Sci., 2023)

Multi-label feature selection based on rough granular-ball and label distribution. - Wenbin Qian; Fankang Xu; Jin Qian; Wenhao Shu; Weiping Ding 001 (Inf. Sci., 2023)

Risk and UCON-based access control model for healthcare big data. - Rong Jiang; Xue Chen; Yimin Yu; Ying Zhang; Weiping Ding 001 (J. Big Data, 2023)

Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data. - Lin Sun 002; Shujing Sun; Weiping Ding 001; Xinyue Huang; Peiyi Fan; Kunyu Li; Leqi Chen (Int. J. Mach. Learn. Cybern., 2023)

Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning. - Can Gao; Yangbo Wang; Jie Zhou 009; Weiping Ding 001; Linlin Shen; Zhihui Lai (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Parameter-Free Robust Ensemble Framework of Fuzzy Clustering. - Zhaoyin Shi; Long Chen 001; Weiping Ding 001; Chuanbin Zhang; Yingxu Wang 002 (IEEE Trans. Fuzzy Syst., 2023)

RIHNet: A Robust Image Hiding Method for JPEG Compression. - Xin Jin 005; Zien Cheng; Qian Jiang; Wei-Ping Ding 001; Yunyun Dong; Liwen Wu; Shengfa Miao (ICIC (10), 2024)

GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way. - Xiaoyang Zou; Jinxin Cao; Hengrong Ju; Weiping Ding 001; Di Jin 001 (ICIC (12), 2024)

Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis. - Tao Hou; Jiashuang Huang; Shu Jiang; Weiping Ding 001 (MICCAI (2), 2024)

Modified Hegselmann-Krause Model for Enhancing Opinion Diversity in Social Networks. - Chun Cheng; Jiahao Gu; Siyan Lu; Weiping Ding 001 (IEEE Access, 2024)

MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection. - Xunjin Wu; Jianming Zhan 001; Tianrui Li 001; Weiping Ding 001; Witold Pedrycz (Appl. Intell., 2024)

MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification. - Jiashuang Huang; Xiaoyu Qi; Xueyun Cheng; Mingliang Wang; Hengrong Ju; Weiping Ding 001; Daoqiang Zhang (Artif. Intell. Medicine, 2024)

ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks. - Jinxin Cao; Xiaoyang Zou; Weizhong Xu; Weiping Ding 001; Hengrong Ju; Lu Liu 001; Fuxiang Chen; Di Jin 001 (Appl. Soft Comput., 2024)

Pheromone-guided parallel rough hypercuboid attribute reduction algorithm. - Weiping Ding 001; Hongcheng Yao; Hengrong Ju; Jiashuang Huang; Shu Jiang; Yuepeng Chen (Appl. Soft Comput., 2024)

An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction. - Xiuyi Jia; Qiaowanni Lin; Weiping Ding 001 (Appl. Soft Comput., 2024)

Three-way evidence theory-based density peak clustering with the principle of justifiable granularity. - Hengrong Ju; Yang Lu; Weiping Ding 001; Jinxin Cao; Xibei Yang (Appl. Soft Comput., 2024)

Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information. - Guangming Lang; Weiping Ding 001; Duoqian Miao 001; Hamido Fujita; Yiyu Yao (Appl. Soft Comput., 2024)

Adversarially attack feature similarity for fine-grained visual classification. - Yupeng Wang; Can Xu; Yongli Wang; Xiaoli Wang; Weiping Ding 001 (Appl. Soft Comput., 2024)

DE3-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. - Jianing He; Qi Zhang 020; Weiping Ding 001; Duoqian Miao 001; Jun Zhao; Liang Hu 004; Longbing Cao (CoRR, 2024)

How to characterize imprecision in multi-view clustering? - Jinyi Xu; Zuowei Zhang 001; Ze Lin; Yixiang Chen; Zhe Liu 041; Weiping Ding 001 (CoRR, 2024)

Referring Flexible Image Restoration. - Runwei Guan; Rongsheng Hu; Zhuhao Zhou; Tianlang Xue; Ka Lok Man; Jeremy S. Smith; Eng Gee Lim; Weiping Ding 001; Yutao Yue (CoRR, 2024)

A Survey on Deep Active Learning: Recent Advances and New Frontiers. - Dongyuan Li; Zhen Wang; Yankai Chen 001; Renhe Jiang; Weiping Ding 001; Manabu Okumura (CoRR, 2024)

Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges. - Yanli Li; Zhongliang Guo 001; Nan Yang; Huaming Chen; Dong Yuan; Weiping Ding 001 (CoRR, 2024)

Incremental high average-utility itemset mining: survey and challenges. - Jing Chen; Shengyi Yang; Weiping Ding 001; Peng Li 011; Aijun Liu 005; Hongjun Zhang; Tian Li (CoRR, 2024)

FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification. - Weiping Ding 001; Tianyi Zhou 001; Jiashuang Huang; Shu Jiang; Tao Hou; Chin-Teng Lin (CoRR, 2024)

Granular-Balls based Fuzzy Twin Support Vector Machine for Classification. - Lixi Zhao; Weiping Ding 001; Duoqian Miao 001; Guangming Lang (CoRR, 2024)

FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. - Weiping Ding 001; Sheng Geng; Haipeng Wang; Jiashuang Huang; Tianyi Zhou 001 (CoRR, 2024)

M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction. - Hui Luo; Jiashuang Huang; Hengrong Ju; Tianyi Zhou 001; Weiping Ding 001 (CoRR, 2024)

Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction. - Yinxin Bao; Qinqin Shen; Yang Cao 014; Weiping Ding 001; Quan Shi (Eng. Appl. Artif. Intell., 2024)

InfoFlowNet: A multi-head attention-based self-supervised learning model with surrogate approach for uncovering brain effective connectivity. - Chun-Hsiang Chuang; Shao-Xun Fang; Chih-Sheng Huang; Weiping Ding 001 (Eng. Appl. Artif. Intell., 2024)

A survey of intelligent multimedia forensics for internet of things communications: Approaches, strategies, perspectives, and challenges for a sustainable future. - Wei-Ping Ding 001; Mohamed Abdel-Basset; Ahmed M. Ali 005; Nour Moustafa (Eng. Appl. Artif. Intell., 2024)

Solution of wide and micro background bias in contrastive action representation learning. - Shuai Liu 002; Zhe Luo; Yating Li; Yunhe Wang 009; Weina Fu; Weiping Ding 001 (Eng. Appl. Artif. Intell., 2024)

An intelligent decision support framework for nursing home resource planning with enhanced heterogeneous service demand modeling. - Xuxue Sun; Nan Kong; Weiping Ding 001; Ying Li 001; Nazmus Sakib; Hao Zeng; Hongdao Meng; Chris Masterson; Mingyang Li 002 (Eng. Appl. Artif. Intell., 2024)

Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models. - Xiaoyang Wei; Zhiyuan Li; Yuanyuan Tian; Mengxiao Wang; Jinlei Liu; Yanrui Jin; Weiping Ding 001; Chengliang Liu 001 (Eng. Appl. Artif. Intell., 2024)

Cloud model-based multi-stage multi-attribute decision-making method under probabilistic interval-valued hesitant fuzzy environment. - Chenlu Zhu; Xiaodi Liu; Weiping Ding 001; Shitao Zhang (Expert Syst. Appl., 2024)

FRCM: A fuzzy rough c-means clustering method. - Bin Yu 012; Zijian Zheng; Mingjie Cai; Witold Pedrycz; Weiping Ding 001 (Fuzzy Sets Syst., 2024)

Multigranulation fuzzy probabilistic rough sets induced by overlap functions and their applications. - Nana Han; Junsheng Qiao; Tengbiao Li; Weiping Ding 001 (Fuzzy Sets Syst., 2024)

Representation, optimization and generation of fuzzy measures. - Gleb Beliakov; Jianzhang Wu 001; Weiping Ding 001 (Inf. Fusion, 2024)

FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation. - Weiping Ding 001; Sheng Geng; Haipeng Wang; Jiashuang Huang; Tianyi Zhou 001 (Inf. Fusion, 2024)

Deep learning based multimodal biomedical data fusion: An overview and comparative review. - Junwei Duan; Jiaqi Xiong; Yinghui Li; Weiping Ding 001 (Inf. Fusion, 2024)

Dempster-Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review. - Liguo Fei; Tao Li; Weiping Ding 001 (Inf. Fusion, 2024)

Concept-cognitive learning survey: Mining and fusing knowledge from data. - Doudou Guo; Weihua Xu 003; Weiping Ding 001; Yiyu Yao; Xizhao Wang; Witold Pedrycz; Yuhua Qian (Inf. Fusion, 2024)

Fusion dynamical systems with machine learning in imitation learning: A comprehensive overview. - Yingbai Hu; Fares J. Abu-Dakka; Fei Chen; Xiao Luo 005; Zheng Li 012; Alois Knoll; Weiping Ding 001 (Inf. Fusion, 2024)

A distributed state and fault estimation scheme for state-saturated systems with quantized measurements over sensor networks. - Cong Huang; Serdar Coskun; Hamid Reza Karimi; Weiping Ding 001 (Inf. Fusion, 2024)

Cross-modal zero-sample diagnosis framework utilizing non-contact sensing data fusion. - Sheng Li; Ke Feng; Yadong Xu; Yongbo Li; Qing Ni; Ke Zhang; Yulin Wang; Weiping Ding 001 (Inf. Fusion, 2024)

Statistical guaranteed noisy tensor recovery by fusing low-rankness on all orientations in frequency-original domains. - Xiangrui Li; Dongxu Wei; Xiyuan Hu; Liming Zhang 002; Weiping Ding 001; Zhenmin Tang (Inf. Fusion, 2024)

The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0. - Xiao Wang 002; Yutong Wang 001; Jing Yang 042; Xiaofeng Jia; Lijun Li; Weiping Ding 001; Fei-Yue Wang 001 (Inf. Fusion, 2024)

Few-shot object detection: Research advances and challenges. - Zhimeng Xin; Shiming Chen 002; Tianxu Wu; Yuanjie Shao; Weiping Ding 001; Xinge You (Inf. Fusion, 2024)

A review of cancer data fusion methods based on deep learning. - Yuxin Zhao 005; Xiaobo Li; Changjun Zhou; Hao Peng; Zhonglong Zheng; Jun Chen; Wei-Ping Ding 001 (Inf. Fusion, 2024)

A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark. - Yuepeng Chen; Weiping Ding 001; Hengrong Ju; Jiashuang Huang; Tao Yin (Inf. Sci., 2024)

Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction. - Weiping Ding 001; Mohamed Abdel-Basset; Ibrahim Alrashdi; Hossam Hawash (Inf. Sci., 2024)

A retinal vessel segmentation network approach based on rough sets and attention fusion module. - Ziqiang Gao; Linlin Zhou; Weiping Ding 001; Haipeng Wang (Inf. Sci., 2024)

TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning. - Xuming Han; Yali Chu; Eric Ke Wang; Limin Wang; Lin Yue; Weiping Ding 001 (Inf. Sci., 2024)

Exploring view-specific label relationships for multi-view multi-label feature selection. - Pingting Hao; Weiping Ding 001; Wanfu Gao; Jialong He (Inf. Sci., 2024)

Hierarchical bottleneck for heterogeneous graph representation. - Yunfei He; Li Meng; Jian Ma; Yiwen Zhang; Qun Wu; Weiping Ding 001; Fei Yang (Inf. Sci., 2024)

imFTP: Deep imbalance learning via fuzzy transition and prototypical learning. - Yaxin Hou; Weiping Ding 001; Chongsheng Zhang (Inf. Sci., 2024)

Large group decision-making with a rough integrated asymmetric cloud model under multi-granularity linguistic environment. - Jicun Jiang; Xiaodi Liu; Zengwen Wang; Weiping Ding 001; Shitao Zhang; Hao Xu (Inf. Sci., 2024)

A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification. - Shancheng Jiang; Zehui Wu; Haiqiong Yang; Kun Xiang; Weiping Ding 001; Zhen-Song Chen 002 (Inf. Sci., 2024)

Multi-association evidential feature selection and its application to identifying schizophrenia. - Hengrong Ju; Xiaoxue Fan; Weiping Ding 001; Jiashuang Huang; Witold Pedrycz; Xibei Yang (Inf. Sci., 2024)

An infrared and visible image fusion using knowledge measures for intuitionistic fuzzy sets and Swin Transformer. - Muhammad Jabir Khan; Shu Jiang; Weiping Ding 001; Jiashuang Huang; Haipeng Wang (Inf. Sci., 2024)

Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning. - Yanli Li; Weiping Ding 001; Huaming Chen; Wei Bao 001; Dong Yuan (Inf. Sci., 2024)

A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces. - Salama A. Mostafa; Sharran Ravi; Dilovan Asaad Zebari; Nechirvan Asaad Zebari; Mazin Abed Mohammed; Jan Nedoma; Radek Martinek; Muhammet Deveci; Weiping Ding 001 (Inf. Sci., 2024)

LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy. - Lin Sun 002; Yuxuan Ma; Weiping Ding 001; Zhihao Lu; Jiucheng Xu (Inf. Sci., 2024)

VSDHS-CIEA: Color image encryption algorithm based on novel variable-structure discrete hyperchaotic system and cross-plane confusion strategy. - Hangming Zhang; Hanping Hu; Weiping Ding 001 (Inf. Sci., 2024)

GA-FCFNN: A new forecasting method combining feature selection methods and feedforward neural networks using genetic algorithms. - Rongtao Zhang; Xueling Ma; Chao Zhang 046; Weiping Ding 001; Jianming Zhan 001 (Inf. Sci., 2024)

WSBCV: A data-driven cross-version defect model via multi-objective optimization and incremental representation learning. - Nana Zhang; Kun Zhu 024; Weiping Ding 001; Dandan Zhu (Inf. Sci., 2024)

A DNN robust video watermarking method in dual-tree complex wavelet transform domain. - Xuanming Chang; Beijing Chen; Weiping Ding 001; Xin Liao (J. Inf. Secur. Appl., 2024)

Partial multi-label learning via robust feature selection and relevance fusion optimization. - Wenbin Qian; Yanqiang Tu; Jintao Huang; Weiping Ding 001 (Knowl. Based Syst., 2024)

Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection. - Lin Sun 002; Qifeng Zhang; Weiping Ding 001; Jiucheng Xu (Knowl. Based Syst., 2024)

Partial label feature selection based on noisy manifold and label distribution. - Wenbin Qian; Jiale Liu; Wenji Yang; Jintao Huang; Weiping Ding 001 (Pattern Recognit., 2024)

Multiscale collaborative representation for face recognition via class-information fusion. - Changzhong Wang; Shibing Pei; Xiang Lv; Weiping Ding 001 (Pattern Recognit., 2024)

Robust deep fuzzy K-means clustering for image data. - Xiaoling Wu; Yu-Feng Yu; Long Chen 001; Weiping Ding 001; Yingxu Wang 002 (Pattern Recognit., 2024)

Entity-Relation Extraction as Full Shallow Semantic Dependency Parsing. - Shu Jiang; Zuchao Li; Hai Zhao 001; Weiping Ding 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Sparse feature selection via local feature and high-order label correlation. - Lin Sun 002; Yuxuan Ma; Weiping Ding 001; Jiucheng Xu (Appl. Intell., 2024)

Three-way clustering: Foundations, survey and challenges. - Pingxin Wang; Xibei Yang; Weiping Ding 001; Jianming Zhan 001; Yiyu Yao (Appl. Soft Comput., 2024)

Toward assessment of human voice biomarkers of brain lesions through explainable deep learning. - Benjamín Gutiérrez-Serafín; Javier Andreu-Perez; Humberto Pérez Espinosa; Silke Paulmann; Weiping Ding 001 (Biomed. Signal Process. Control., 2024)

CycMixer: A simplified and rapidly converging object detection network of query based on cycle mixing. - Ya'nan Guan; Weiping Ding 001; Shujiao Liao; Wenyuan Yang (Eng. Appl. Artif. Intell., 2024)

Label correlations-based multi-label feature selection with label enhancement. - Wenbin Qian; Yinsong Xiong; Weiping Ding 001; Jintao Huang; Chi-Man Vong (Eng. Appl. Artif. Intell., 2024)

Takagi-Sugeno-Kang fuzzy system fusion: A survey at hierarchical, wide and stacked levels. - Yuanpeng Zhang; Guanjin Wang; Ta Zhou; Xiuyu Huang; Saikit Lam; Jiabao Sheng; Kup-Sze Choi; Jing Cai; Weiping Ding 001 (Inf. Fusion, 2024)

Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures. - Deepak Kumar Jain; Shamimul Qamar; Saurabh Raj Sangwan; Weiping Ding 001; Anand J. Kulkarni (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Long-Term Time Series Forecasting With Multilinear Trend Fuzzy Information Granules for LSTM in a Periodic Framework. - Chenglong Zhu; Xueling Ma; Weiping Ding 001; Jianming Zhan 001 (IEEE Trans. Fuzzy Syst., 2024)

A volunteer allocation optimization model in response to major natural disasters based on improved Dempster-Shafer theory. - Pengyu Xue; Liguo Fei; Weiping Ding 001 (Expert Syst. Appl., 2024)

Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives. - Zhen-Song Chen 002; Zhuo-Ran Wang; Muhammet Deveci; Weiping Ding 001; Witold Pedrycz; Miroslaw J. Skibniewski (Inf. Fusion, 2024)

Large group emergency decision-making with bi-directional trust in social networks: A probabilistic hesitant fuzzy integrated cloud approach. - Jicun Jiang; Xiaodi Liu; Zengwen Wang; Weiping Ding 001; Shitao Zhang (Inf. Fusion, 2024)

MinJoT: Multimodal infusion Joint Training for noise learning in text and multimodal classification problems. - Bo Liu; Lejian He; Yuchen Xie; Yuejia Xiang; Li Zhu; Weiping Ding 001 (Inf. Fusion, 2024)

Latent information-guided one-step multi-view fuzzy clustering based on cross-view anchor graph. - Chuanbin Zhang; Long Chen 001; Zhaoyin Shi; Weiping Ding 001 (Inf. Fusion, 2024)

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks. - Weiping Ding 001; Ibrahim Alrashdi; Hossam Hawash; Mohamed Abdel-Basset (Inf. Sci., 2024)

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. - Weiping Ding 001; Ying Sun; Jiashuang Huang; Hengrong Ju; Chongsheng Zhang; Guang Yang 006; Chin-Teng Lin (Inf. Sci., 2024)

An electronic medical record access control model based on intuitionistic fuzzy trust. - Rong Jiang; Rui Liu; Tao Zhang; Weiping Ding 001; Sheng-Hu Tian (Inf. Sci., 2024)

LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning. - Lin Sun 002; Yusheng Chen; Weiping Ding 001; Jiucheng Xu (Int. J. Mach. Learn. Cybern., 2024)

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework. - Weiping Ding 001; Mohamed Abdel-Basset; Hossam Hawash; Mahardhika Pratama; Witold Pedrycz (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients. - Hengrong Ju; Tao Yin; Jiashuang Huang; Weiping Ding 001; Xibei Yang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multi-Label Feature Selection via Positive or Negative Correlation. - Yaojin Lin; Zhuoxin He; Lei Guo 020; Weiping Ding 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

MG-GCN: Multi-Granularity Graph Convolutional Neural Network for Multi-Label Classification in Multi-Label Information System. - Bin Yu 012; Hengjie Xie; Mingjie Cai; Weiping Ding 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

UnbiasNet: Vehicle Re-Identification Oriented Unbiased Feature Enhancement by Using Causal Effect. - Junhao Huang; Yuhui Deng; Eric Ke Wang; Zhangwei Li; Zhimin Tang; Weiping Ding 001 (IEEE Trans. Intell. Transp. Syst., 2024)

ACF-Net: Asymmetric Cascade Fusion for 3D Detection With LiDAR Point Clouds and Images. - Yonglin Tian; Xianjing Zhang; Xiao Wang 002; Jintao Xu; Jiangong Wang; Rui Ai 001; Weihao Gu; Weiping Ding 001 (IEEE Trans. Intell. Veh., 2024)

Mining and fusing unstructured online reviews and structured public index data for hospital selection. - Huchang Liao; Jiaxin Qi; Jiawei Zhang; Chonghui Zhang; Fan Liu; Weiping Ding 001 (Inf. Fusion, 2024)

Missing multi-label learning based on the fusion of two-level nonlinear mappings. - Changzhong Wang; Yan Wang; Tingquan Deng; Weiping Ding 001 (Inf. Fusion, 2024)

A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern. - Bin Yu 012; Ruihui Xu; Mingjie Cai; Weiping Ding 001 (Inf. Fusion, 2024)

Fuzzy-based cross-image pixel contrastive learning for compact medical image segmentation. - Yecong Wan; Mingwen Shao; Yuanshuo Cheng; Weiping Ding 001 (Multim. Tools Appl., 2024)

A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence. - Weiping Ding 001; Ying Sun; Ming Li 065; Jun Liu 001; Hengrong Ju; Jiashuang Huang; Chin-Teng Lin (IEEE Trans. Cybern., 2024)

Fuzzy-Granular Concept-Cognitive Learning via Three-Way Decision: Performance Evaluation on Dynamic Knowledge Discovery. - Doudou Guo; Weihua Xu 003; Yuhua Qian; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2024)

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. - María Victoria Luzón; Nuria Rodríguez Barroso; Alberto Argente-Garrido; Daniel Jiménez-López; Jose M. Moyano; Javier Del Ser; Weiping Ding 001; Francisco Herrera (IEEE CAA J. Autom. Sinica, 2024)

Aspect-level sentiment analysis based on aspect-sentence graph convolution network. - Wenqian Shang; Jiazhao Chai; Jianxiang Cao; Xia Lei; Haibin Zhu 001; Yongkai Fan; Weiping Ding 001 (Inf. Fusion, 2024)

Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language. - Boyuan Zhang 003; Yucheng Shi; Yahong Han; Qinghua Hu; Weiping Ding 001 (Inf. Fusion, 2024)

LGABL: UHD Multi-Exposure Image Fusion via Local and Global Aware Bilateral Learning. - Di Wang; Zhuoran Zheng; Weiping Ding 001; Xiuyi Jia (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

GBG++: A Fast and Stable Granular Ball Generation Method for Classification. - Qin Xie; Qinghua Zhang 001; Shuyin Xia; Fan Zhao; Chengying Wu; Guoyin Wang 001; Weiping Ding 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

MTCAM: A Novel Weakly-Supervised Audio-Visual Saliency Prediction Model With Multi-Modal Transformer. - Dandan Zhu; Kun Zhu 024; Weiping Ding 001; Nana Zhang; Xiongkuo Min; Guangtao Zhai; Xiaokang Yang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning. - Shiming Chen 002; Ziming Hong; Guo-Sen Xie; Qinmu Peng; Xinge You; Weiping Ding 001; Ling Shao 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction. - Ming Li 065; Xiaosheng Zhuang; Lu Bai 001; Weiping Ding 001 (Inf. Fusion, 2024)

Low-Rank Multilabel Learning Based on Nonlinear Mapping. - Changzhong Wang; Yan Wang; Tingquan Deng; Weiping Ding 001; Yuhua Qian (IEEE Trans. Artif. Intell., 2024)

EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning. - Shiming Chen 002; Shuhuang Chen; Wenjin Hou; Weiping Ding 001; Xinge You (IEEE Trans. Evol. Comput., 2024)

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model. - Cheng Tang; Junkai Ji; Yuki Todo; Atsushi Shimada; Weiping Ding 001; Akimasa Hirata (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

IFCRL: Interval-Intent Fuzzy Concept Re-Cognition Learning Model. - Yi Ding; Weihua Xu 003; Weiping Ding 001; Yuhua Qian (IEEE Trans. Fuzzy Syst., 2024)

Equilibrium optimizer-based harmony search algorithm with nonlinear dynamic domains and its application to real-world optimization problems. - Jinglin Wang; Haibin Ouyang; Steven Li; Weiping Ding 001; Liqun Gao (Artif. Intell. Rev., 2024)

Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion. - Yonglin Tian; Yu Shen; Xiao Wang 002; Jiangong Wang; Kunfeng Wang; Weiping Ding 001; Zilei Wang; Fei-Yue Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

DM-Fusion: Deep Model-Driven Network for Heterogeneous Image Fusion. - Guoxia Xu; Chunming He; Hao Wang 003; Hu Zhu; Weiping Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection. - Lin Sun 002; Hanbo Liang; Weiping Ding 001; Jiucheng Xu; Baofang Chang (Appl. Intell., 2024)

An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection. - Kun Zhu 024; Nana Zhang; Weiping Ding 001; Changjun Jiang (IEEE Trans. Artif. Intell., 2024)

Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion. - Huashi Zhu; Dexuan Xu; Yu Huang 004; Zhi Jin; Weiping Ding 001; Jiahui Tong; Guoshuang Chong (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification. - Weiping Ding 001; Tianyi Zhou 001; Jiashuang Huang; Shu Jiang; Tao Hou; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2024)

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration. - Hengrong Ju; Tingting Shan; Weiping Ding 001; Keyu Liu; Muhammad Jabir Khan; Jiashuang Huang; Xibei Yang (IEEE Trans. Fuzzy Syst., 2024)

Interpreting Industrial IoT Data Streams Through Fuzzy Querying With Hysteretic Fuzzy Sets on Apache Kafka. - Bozena Malysiak-Mrozek; Bartlomiej Ryba; Marek Moleda; Che-Lun Hung; Witold Pedrycz; Weiping Ding 001; Dariusz Mrozek (IEEE Trans. Fuzzy Syst., 2024)

A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection. - Jianming Zhan 001; Xianfeng Huang; Yuhua Qian; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2024)

Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems. - Yuepeng Chen; Weiping Ding 001; Hengrong Ju; Jiashuang Huang; Tao Yin (IEEE Trans. Fuzzy Syst., 2024)

GIFTWD: A Prospect Theory-Based Generalized Intuitionistic Fuzzy Three-Way Decision Model. - Jianhua Dai; Tao Chen 011; Kai Zhang 049; Dun Liu; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2024)

Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks. - Xiangyu Wei; Wei Wang 012; Chongsheng Zhang; Weiping Ding 001; Bin Wang 062; Yaguan Qian; Zhen Han; Chunhua Su (ACM Trans. Knowl. Discov. Data, 2024)

Effective Value Analysis of Fuzzy Similarity Relation in HQSS for Efficient Granulation. - Qinghua Zhang 001; Fan Zhao; Yunlong Cheng; Man Gao; Guoyin Wang 001; Shuyin Xia; Weiping Ding 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Online Planning and Robust Optimal Control for Nonholonomic Mobile Robot in Unstructured Environments. - Yingbai Hu; Wei Zhou; Yueyue Liu; Minghao Zeng; Weiping Ding 001; Shu Li; Guoxin Li; Zheng Li 012; Alois Knoll (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

ViTH-RFG: Vision Transformer Hashing With Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval. - Weiping Ding 001; Chuansheng Liu; Jiashuang Huang; Chun Cheng; Hengrong Ju (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites. - Yijie Ding; Prayag Tiwari; Fei Guo 001; Quan Zou 001; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. - Sheng Zhang 024; Yingying Fang; Yang Nan 002; Shiyi Wang; Weiping Ding 001; Yew-Soon Ong; Alejandro F. Frangi; Witold Pedrycz; Simon Walsh; Guang Yang 006 (IEEE Trans. Fuzzy Syst., 2024)

FedTP: Federated Learning by Transformer Personalization. - Hongxia Li; Zhongyi Cai; Jingya Wang; Jiangnan Tang; Weiping Ding 001; Chin-Teng Lin; Ye Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity. - Wenbin Qian; Yihui Li; Qianzhi Ye; Shuyin Xia; Jintao Huang; Weiping Ding 001 (IEEE Trans. Knowl. Data Eng., 2024)

Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery. - Kehua Yuan; Duoqian Miao 001; Witold Pedrycz; Weiping Ding 001; Hongyun Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data. - Lin Sun 002; Mengmeng Li; Weiping Ding 001; Jiucheng Xu (Appl. Soft Comput., 2024)

Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technology. - Sarah Qahtan; Nahia Mourad; Hassan Abdulsattar Ibrahim; Aws Alaa Zaidan; Bilal Bahaa; Muhammet Deveci; Weiping Ding 001; Dragan Pamucar; Witold Pedrycz; Saraswathy Shamini (Expert Syst. Appl., 2025)

D3WC: Deep three-way clustering with granular evidence fusion. - Hengrong Ju; Jing Guo; Weiping Ding 001; Xibei Yang (Inf. Fusion, 2025)

A unified framework of semi-supervised community detection integrating network topology and node content. - Jinxin Cao; Weizhong Xu; Di Jin 001; Xiaofeng Zhang; Lu Liu 001; Anthony Miller; Zhenquan Shi; Weiping Ding 001 (Inf. Sci., 2025)

Hyperspectral image classification using feature fusion fuzzy graph broad network. - Yonghe Chu; Jun Cao; Weiping Ding 001; Jiashuang Huang; Hengrong Ju; Heling Cao; Guangen Liu (Inf. Sci., 2025)

MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion. - Weiping Ding 001; Jing Wang; Jiashuang Huang; Chun Cheng; Shu Jiang (Inf. Sci., 2025)

A novel multi-source information fusion method for emergency spatial resilience assessment based on Dempster-Shafer theory. - Liguo Fei; Tao Li; Xiaoyu Liu; Weiping Ding 001 (Inf. Sci., 2025)

Adaptive sequential three-way decisions for dynamic time warping. - Jianfeng Xu; Ruihua Wang; Yuanjian Zhang; Weiping Ding 001 (Inf. Sci., 2025)