Weiping Ding

According to our database, Weiping Ding authored at least 442 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Adaptive sequential three-way decisions for dynamic time warping.

Jianfeng Xu, Ruihua Wang, Yuanjian Zhang, Weiping Ding

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

Inf. Sci., 2025

MFCA: Collaborative prediction algorithm of brain age based on multimodal fuzzy feature fusion.

Weiping Ding, Jing Wang, Jiashuang Huang, Chun Cheng, Shu Jiang

Inf. Sci., 2025

Hyperspectral image classification using feature fusion fuzzy graph broad network.

Yonghe Chu, Jun Cao, Weiping Ding, Jiashuang Huang, Hengrong Ju, Heling Cao, Guangen Liu

Inf. Sci., 2025

A unified framework of semi-supervised community detection integrating network topology and node content.

Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Lu Liu, Anthony Miller, Zhenquan Shi, Weiping Ding

Inf. Sci., 2025

A survey of evidential clustering: Definitions, methods, and applications.

Zuowei Zhang, Yiru Zhang, Hongpeng Tian, Arnaud Martin, Zhunga Liu, Weiping Ding

Inf. Fusion, 2025

Recent advances in data-driven fusion of multi-modal imaging and genomics for precision medicine.

Shuo Wang, Meng Liu, Yan Li, Xinyu Zhang, Mengting Sun, Zian Wang, Ruokun Li, Qirong Li, Qing Li, Yili He, Xumei Hu, Longyu Sun, Fuhua Yan, Mengyao Yu, Weiping Ding, Chengyan Wang

Inf. Fusion, 2025

D3WC: Deep three-way clustering with granular evidence fusion.

Hengrong Ju, Jing Guo, Weiping Ding, Xibei Yang

Inf. Fusion, 2025

New trends of adversarial machine learning for data fusion and intelligent system.

Weiping Ding, Zheng Zhang, Luis Martínez, Yu Huang, Zehong Cao, Jun Liu, Abhirup Banerjee

Inf. Fusion, 2025

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, Dragan Pamucar, Witold Pedrycz, Saraswathy Shamini

Expert Syst. Appl., 2025

2024

Adaptive fuzzy multi-neighborhood feature selection with hybrid sampling and its application for class-imbalanced data.

Lin Sun, Mengmeng Li, Weiping Ding, Jiucheng Xu

Appl. Soft Comput., December, 2024

Support Matrix Machine via Joint ℓ_2,1 and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data.

Imran Razzak, Mohamed Reda Bouadjenek, Raghib M. Abu-Saris, Weiping Ding

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Ze-HFS: Zentropy-Based Uncertainty Measure for Heterogeneous Feature Selection and Knowledge Discovery.

Kehua Yuan, Duoqian Miao, Witold Pedrycz, Weiping Ding, Hongyun Zhang

IEEE Trans. Knowl. Data Eng., November, 2024

Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity.

Wenbin Qian, Yihui Li, Qianzhi Ye, Shuyin Xia, Jintao Huang, Weiping Ding

IEEE Trans. Knowl. Data Eng., November, 2024

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces.

Shanliang Yao, Runwei Guan, Zhaodong Wu, Yi Ni, Zile Huang, Ryan Wen Liu, Yong Yue, Weiping Ding, Eng Gee Lim, Hyungjoon Seo, Ka Lok Man, Jieming Ma, Xiaohui Zhu, Yutao Yue

IEEE Trans. Intell. Transp. Syst., November, 2024

Long-Term Multivariate Time-Series Forecasting Model Based on Gaussian Fuzzy Information Granules.

Chenglong Zhu, Xueling Ma, Pierpaolo D'Urso, Yuhua Qian, Weiping Ding, Jianming Zhan

IEEE Trans. Fuzzy Syst., November, 2024

Deep Reconciled and Self-Paced TSK Fuzzy System Ensemble for Imbalanced Data Classification: Architecture, Interpretability, and Theory.

Yuanpeng Zhang, Guanjin Wang, Ta Zhou, Ge Ren, Saikit Lam, Weiping Ding, Jing Cai

IEEE Trans. Fuzzy Syst., November, 2024

Adaptive Relative Fuzzy Rough Learning for Classification.

Yang Zhang, Changzhong Wang, Yang Huang, Weiping Ding, Yuhua Qian

IEEE Trans. Fuzzy Syst., November, 2024

Granular Ball Fuzzy Neighborhood Rough Sets-Based Feature Selection via Multiobjective Mayfly Optimization.

Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu

IEEE Trans. Fuzzy Syst., November, 2024

Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities.

Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz

IEEE Trans. Fuzzy Syst., November, 2024

Assessing Membership Leakages via Task-Aligned Divergent Shadow Data Sets in Vehicular Road Cooperation.

Pengrui Liu, Wei Wang, Xiangrui Xu, Hanxi Li, Weiping Ding

IEEE Internet Things J., November, 2024

AI-based decision support systems for sustainable business management under circular economy.

Muhammet Deveci, Dursun Delen, Weiping Ding

Ann. Oper. Res., November, 2024

FedTP: Federated Learning by Transformer Personalization.

Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation.

Sheng Zhang, Yingying Fang, Yang Nan, Shiyi Wang, Weiping Ding, Yew-Soon Ong, Alejandro F. Frangi, Witold Pedrycz, Simon Walsh, Guang Yang

IEEE Trans. Fuzzy Syst., October, 2024

Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites.

Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou, Weiping Ding

IEEE Trans. Fuzzy Syst., October, 2024

ViTH-RFG: Vision Transformer Hashing With Residual Fuzzy Generation for Targeted Attack in Medical Image Retrieval.

Weiping Ding, Chuansheng Liu, Jiashuang Huang, Chun Cheng, Hengrong Ju

IEEE Trans. Fuzzy Syst., October, 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, Shu Li, Guoxin Li, Zheng Li, Alois Knoll

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Effective Value Analysis of Fuzzy Similarity Relation in HQSS for Efficient Granulation.

Qinghua Zhang, Fan Zhao, Yunlong Cheng, Man Gao, Guoyin Wang, Shuyin Xia, Weiping Ding

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks.

Xiangyu Wei, Wei Wang, Chongsheng Zhang, Weiping Ding, Bin Wang, Yaguan Qian, Zhen Han, Chunhua Su

ACM Trans. Knowl. Discov. Data, September, 2024

GIFTWD: A Prospect Theory-Based Generalized Intuitionistic Fuzzy Three-Way Decision Model.

Jianhua Dai, Tao Chen, Kai Zhang, Dun Liu, Weiping Ding

IEEE Trans. Fuzzy Syst., September, 2024

Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems.

Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin

IEEE Trans. Fuzzy Syst., September, 2024

A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection.

Jianming Zhan, Xianfeng Huang, Yuhua Qian, Weiping Ding

IEEE Trans. Fuzzy Syst., August, 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, Dariusz Mrozek

IEEE Trans. Fuzzy Syst., August, 2024

BiFuG2-Spark: Bi-Directional Fuzzy Granular-Cabin Parallel Attribute Reduction Accelerator With Granular-Group Collaboration.

Hengrong Ju, Tingting Shan, Weiping Ding, Keyu Liu, Muhammad Jabir Khan, Jiashuang Huang, Xibei Yang

IEEE Trans. Fuzzy Syst., August, 2024

FMDNN: A Fuzzy-Guided Multigranular Deep Neural Network for Histopathological Image Classification.

Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin

IEEE Trans. Fuzzy Syst., August, 2024

Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion.

Huashi Zhu, Dexuan Xu, Yu Huang, Zhi Jin, Weiping Ding, Jiahui Tong, Guoshuang Chong

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection.

Kun Zhu, Nana Zhang, Weiping Ding, Changjun Jiang

IEEE Trans. Artif. Intell., August, 2024

CMEFS: chaotic mapping-based mayfly optimization with fuzzy entropy for feature selection.

Lin Sun, Hanbo Liang, Weiping Ding, Jiucheng Xu, Baofang Chang

Appl. Intell., August, 2024

DM-Fusion: Deep Model-Driven Network for Heterogeneous Image Fusion.

Guoxia Xu, Chunming He, Hao Wang, Hu Zhu, Weiping Ding

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion.

Yonglin Tian, Yu Shen, Xiao Wang, Jiangong Wang, Kunfeng Wang, Weiping Ding, Zilei Wang, Fei-Yue Wang

IEEE Trans. Neural Networks Learn. Syst., July, 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, Liqun Gao

Artif. Intell. Rev., July, 2024

IFCRL: Interval-Intent Fuzzy Concept Re-Cognition Learning Model.

Yi Ding, Weihua Xu, Weiping Ding, Yuhua Qian

IEEE Trans. Fuzzy Syst., June, 2024

Dendritic Neural Network: A Novel Extension of Dendritic Neuron Model.

Cheng Tang, Junkai Ji, Yuki Todo, Atsushi Shimada, Weiping Ding, Akimasa Hirata

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning.

Shiming Chen, Shuhuang Chen, Wenjin Hou, Weiping Ding, Xinge You

IEEE Trans. Evol. Comput., June, 2024

Low-Rank Multilabel Learning Based on Nonlinear Mapping.

Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding, Yuhua Qian

IEEE Trans. Artif. Intell., June, 2024

Multimodal graph learning based on 3D Haar semi-tight framelet for student engagement prediction.

Ming Li, Xiaosheng Zhuang, Lu Bai, Weiping Ding

Inf. Fusion, May, 2024

GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning.

Shiming Chen, Ziming Hong, Guo-Sen Xie, Qinmu Peng, Xinge You, Weiping Ding, Ling Shao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

MTCAM: A Novel Weakly-Supervised Audio-Visual Saliency Prediction Model With Multi-Modal Transformer.

Dandan Zhu, Kun Zhu, Weiping Ding, Nana Zhang, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

GBG++: A Fast and Stable Granular Ball Generation Method for Classification.

Qin Xie, Qinghua Zhang, Shuyin Xia, Fan Zhao, Chengying Wu, Guoyin Wang, Weiping Ding

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

LGABL: UHD Multi-Exposure Image Fusion via Local and Global Aware Bilateral Learning.

Di Wang, Zhuoran Zheng, Weiping Ding, Xiuyi Jia

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language.

Boyuan Zhang, Yucheng Shi, Yahong Han, Qinghua Hu, Weiping Ding

Inf. Fusion, April, 2024

Aspect-level sentiment analysis based on aspect-sentence graph convolution network.

Wenqian Shang, Jiazhao Chai, Jianxiang Cao, Xia Lei, Haibin Zhu, Yongkai Fan, Weiping Ding

Inf. Fusion, April, 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, Francisco Herrera

IEEE CAA J. Autom. Sinica, April, 2024

Fuzzy-Granular Concept-Cognitive Learning via Three-Way Decision: Performance Evaluation on Dynamic Knowledge Discovery.

Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding

IEEE Trans. Fuzzy Syst., March, 2024

A Novel Spark-Based Attribute Reduction and Neighborhood Classification for Rough Evidence.

Weiping Ding, Ying Sun, Ming Li, Jun Liu, Hengrong Ju, Jiashuang Huang, Chin-Teng Lin

IEEE Trans. Cybern., March, 2024

Fuzzy-based cross-image pixel contrastive learning for compact medical image segmentation.

Yecong Wan, Mingwen Shao, Yuanshuo Cheng, Weiping Ding

Multim. Tools Appl., March, 2024

A clustering method based on multi-positive-negative granularity and attenuation-diffusion pattern.

Bin Yu, Ruihui Xu, Mingjie Cai, Weiping Ding

Inf. Fusion, March, 2024

Missing multi-label learning based on the fusion of two-level nonlinear mappings.

Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding

Inf. Fusion, March, 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

Inf. Fusion, March, 2024

ACF-Net: Asymmetric Cascade Fusion for 3D Detection With LiDAR Point Clouds and Images.

Yonglin Tian, Xianjing Zhang, Xiao Wang, Jintao Xu, Jiangong Wang, Rui Ai, Weihao Gu, Weiping Ding

IEEE Trans. Intell. Veh., February, 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

IEEE Trans. Intell. Transp. Syst., February, 2024

MG-GCN: Multi-Granularity Graph Convolutional Neural Network for Multi-Label Classification in Multi-Label Information System.

Bin Yu, Hengjie Xie, Mingjie Cai, Weiping Ding

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Multi-Label Feature Selection via Positive or Negative Correlation.

Yaojin Lin, Zhuoxin He, Lei Guo, Weiping Ding

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Sparse Mutual Granularity-Based Feature Selection and its Application of Schizophrenia Patients.

Hengrong Ju, Tao Yin, Jiashuang Huang, Weiping Ding, Xibei Yang

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Mahardhika Pratama, Witold Pedrycz

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

LEFSA: label enhancement-based feature selection with adaptive neighborhood via ant colony optimization for multilabel learning.

Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu

Int. J. Mach. Learn. Cybern., February, 2024

An electronic medical record access control model based on intuitionistic fuzzy trust.

Rong Jiang, Rui Liu, Tao Zhang, Weiping Ding, Sheng-Hu Tian

Inf. Sci., February, 2024

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism.

Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin

Inf. Sci., February, 2024

DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks.

Weiping Ding, Ibrahim Alrashdi, Hossam Hawash, Mohamed Abdel-Basset

Inf. Sci., February, 2024

Latent information-guided one-step multi-view fuzzy clustering based on cross-view anchor graph.

Chuanbin Zhang, Long Chen, Zhaoyin Shi, Weiping Ding

Inf. Fusion, February, 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

Inf. Fusion, February, 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, Shitao Zhang

Inf. Fusion, February, 2024

Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives.

Zhen-Song Chen, Zhuo-Ran Wang, Muhammet Deveci, Weiping Ding, Witold Pedrycz, Miroslaw J. Skibniewski

Inf. Fusion, February, 2024

A volunteer allocation optimization model in response to major natural disasters based on improved Dempster-Shafer theory.

Pengyu Xue, Liguo Fei, Weiping Ding

Expert Syst. Appl., February, 2024

Long-Term Time Series Forecasting With Multilinear Trend Fuzzy Information Granules for LSTM in a Periodic Framework.

Chenglong Zhu, Xueling Ma, Weiping Ding, Jianming Zhan

IEEE Trans. Fuzzy Syst., January, 2024

Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures.

Deepak Kumar Jain, Shamimul Qamar, Saurabh Raj Sangwan, Weiping Ding, Anand J. Kulkarni

ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 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

Inf. Fusion, January, 2024

Label correlations-based multi-label feature selection with label enhancement.

Wenbin Qian, Yinsong Xiong, Weiping Ding, Jintao Huang, Chi-Man Vong

Eng. Appl. Artif. Intell., January, 2024

CycMixer: A simplified and rapidly converging object detection network of query based on cycle mixing.

Ya'nan Guan, Weiping Ding, Shujiao Liao, Wenyuan Yang

Eng. Appl. Artif. Intell., January, 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

Biomed. Signal Process. Control., January, 2024

Three-way clustering: Foundations, survey and challenges.

Pingxin Wang, Xibei Yang, Weiping Ding, Jianming Zhan, Yiyu Yao

Appl. Soft Comput., January, 2024

Sparse feature selection via local feature and high-order label correlation.

Lin Sun, Yuxuan Ma, Weiping Ding, Jiucheng Xu

Appl. Intell., January, 2024

Entity-Relation Extraction as Full Shallow Semantic Dependency Parsing.

Shu Jiang, Zuchao Li, Hai Zhao, Weiping Ding

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Robust deep fuzzy K-means clustering for image data.

Xiaoling Wu, Yu-Feng Yu, Long Chen, Weiping Ding, Yingxu Wang

Pattern Recognit., 2024

Multiscale collaborative representation for face recognition via class-information fusion.

Changzhong Wang, Shibing Pei, Xiang Lv, Weiping Ding

Pattern Recognit., 2024

Partial label feature selection based on noisy manifold and label distribution.

Wenbin Qian, Jiale Liu, Wenji Yang, Jintao Huang, Weiping Ding

Pattern Recognit., 2024

Can smartphones serve as an instrument for driver behavior of intelligent transportation systems research? A systematic review: Challenges, motivations, and recommendations.

Salem Garfan, Bilal Bahaa Zaidan, Aws Alaa Zaidan, Sarah Qahtan, Hassan Abdulsattar Ibrahim, Muhammet Deveci, Seifedine Kadry, Sarbast Moslem, Weiping Ding

Pervasive Mob. Comput., 2024

A concept fringe-based concept-cognitive learning method in skill context.

Hai-Long Yang, Yinfeng Zhou, Jin-Jin Li, Weiping Ding

Knowl. Based Syst., 2024

Fuzzy Neighborhood-Based Manifold Learning and Feature Weight Matrix for Multilabel Feature Selection.

Lin Sun, Qifeng Zhang, Weiping Ding, Jiucheng Xu

Knowl. Based Syst., 2024

Partial multi-label learning via robust feature selection and relevance fusion optimization.

Wenbin Qian, Yanqiang Tu, Jintao Huang, Weiping Ding

Knowl. Based Syst., 2024

A DNN robust video watermarking method in dual-tree complex wavelet transform domain.

Xuanming Chang, Beijing Chen, Weiping Ding, Xin Liao

J. Inf. Secur. Appl., 2024

WSBCV: A data-driven cross-version defect model via multi-objective optimization and incremental representation learning.

Nana Zhang, Kun Zhu, Weiping Ding, Dandan Zhu

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, Weiping Ding, Jianming Zhan

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

Inf. Sci., 2024

LSFSR: Local label correlation-based sparse multilabel feature selection with feature redundancy.

Lin Sun, Yuxuan Ma, Weiping Ding, Zhihao Lu, Jiucheng Xu

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

Inf. Sci., 2024

Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning.

Yanli Li, Weiping Ding, Huaming Chen, Wei Bao, Dong Yuan

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, Jiashuang Huang, Haipeng Wang

Inf. Sci., 2024

Multi-association evidential feature selection and its application to identifying schizophrenia.

Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Witold Pedrycz, Xibei Yang

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, Zhen-Song Chen

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, Shitao Zhang, Hao Xu

Inf. Sci., 2024

imFTP: Deep imbalance learning via fuzzy transition and prototypical learning.

Yaxin Hou, Weiping Ding, Chongsheng Zhang

Inf. Sci., 2024

Hierarchical bottleneck for heterogeneous graph representation.

Yunfei He, Li Meng, Jian Ma, Yiwen Zhang, Qun Wu, Weiping Ding, Fei Yang

Inf. Sci., 2024

Exploring view-specific label relationships for multi-view multi-label feature selection.

Pingting Hao, Weiping Ding, Wanfu Gao, Jialong He

Inf. Sci., 2024

TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning.

Xuming Han, Yali Chu, Eric Ke Wang, Limin Wang, Lin Yue, Weiping Ding

Inf. Sci., 2024

A retinal vessel segmentation network approach based on rough sets and attention fusion module.

Ziqiang Gao, Linlin Zhou, Weiping Ding, Haipeng Wang

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, Mohamed Abdel-Basset, Ibrahim Alrashdi, Hossam Hawash

Inf. Sci., 2024

A distributed attribute reduction based on neighborhood evidential conflict with Apache Spark.

Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin

Inf. Sci., 2024

A review of cancer data fusion methods based on deep learning.

Yuxin Zhao, Xiaobo Li, Changjun Zhou, Hao Peng, Zhonglong Zheng, Jun Chen, Wei-Ping Ding

Inf. Fusion, 2024

Few-shot object detection: Research advances and challenges.

Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, Weiping Ding, Xinge You

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, Yutong Wang, Jing Yang, Xiaofeng Jia, Lijun Li, Weiping Ding, Fei-Yue Wang

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, Weiping Ding, Zhenmin Tang

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

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

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, Zheng Li, Alois Knoll, Weiping Ding

Inf. Fusion, 2024

Concept-cognitive learning survey: Mining and fusing knowledge from data.

Doudou Guo, Weihua Xu, Weiping Ding, Yiyu Yao, Xizhao Wang, Witold Pedrycz, Yuhua Qian

Inf. Fusion, 2024

Dempster-Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review.

Liguo Fei, Tao Li, Weiping Ding

Inf. Fusion, 2024

Deep learning based multimodal biomedical data fusion: An overview and comparative review.

Junwei Duan, Jiaqi Xiong, Yinghui Li, Weiping Ding

Inf. Fusion, 2024

FDiff-Fusion: Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation.

Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou

Inf. Fusion, 2024

Representation, optimization and generation of fuzzy measures.

Gleb Beliakov, Jianzhang Wu, Weiping Ding

Inf. Fusion, 2024

Multigranulation fuzzy probabilistic rough sets induced by overlap functions and their applications.

Nana Han, Junsheng Qiao, Tengbiao Li, Weiping Ding

Fuzzy Sets Syst., 2024

FRCM: A fuzzy rough <i>c</i>-means clustering method.

Bin Yu, Zijian Zheng, Mingjie Cai, Witold Pedrycz, Weiping Ding

Fuzzy Sets Syst., 2024

Cloud model-based multi-stage multi-attribute decision-making method under probabilistic interval-valued hesitant fuzzy environment.

Chenlu Zhu, Xiaodi Liu, Weiping Ding, Shitao Zhang

Expert Syst. Appl., 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, Chengliang Liu

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, Ying Li, Nazmus Sakib, Hao Zeng, Hongdao Meng, Chris Masterson, Mingyang Li

Eng. Appl. Artif. Intell., 2024

Solution of wide and micro background bias in contrastive action representation learning.

Shuai Liu, Zhe Luo, Yating Li, Yunhe Wang, Weina Fu, Weiping Ding

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, Mohamed Abdel-Basset, Ahmed M. Ali, Nour Moustafa

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

Eng. Appl. Artif. Intell., 2024

Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction.

Yinxin Bao, Qinqin Shen, Yang Cao, Weiping Ding, Quan Shi

Eng. Appl. Artif. Intell., 2024

M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction.

Hui Luo, Jiashuang Huang, Hengrong Ju, Tianyi Zhou, Weiping Ding

CoRR, 2024

FDiff-Fusion:Denoising diffusion fusion network based on fuzzy learning for 3D medical image segmentation.

Weiping Ding, Sheng Geng, Haipeng Wang, Jiashuang Huang, Tianyi Zhou

CoRR, 2024

Granular-Balls based Fuzzy Twin Support Vector Machine for Classification.

Lixi Zhao, Weiping Ding, Duoqian Miao, Guangming Lang

CoRR, 2024

FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification.

Weiping Ding, Tianyi Zhou, Jiashuang Huang, Shu Jiang, Tao Hou, Chin-Teng Lin

CoRR, 2024

Incremental high average-utility itemset mining: survey and challenges.

Jing Chen, Shengyi Yang, Weiping Ding, Peng Li, Aijun Liu, Hongjun Zhang, Tian Li

CoRR, 2024

Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges.

Yanli Li, Zhongliang Guo, Nan Yang, Huaming Chen, Dong Yuan, Weiping Ding

CoRR, 2024

A Survey on Deep Active Learning: Recent Advances and New Frontiers.

Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura

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, Yutao Yue

CoRR, 2024

How to characterize imprecision in multi-view clustering?

Jinyi Xu, Zuowei Zhang, Ze Lin, Yixiang Chen, Zhe Liu, Weiping Ding

CoRR, 2024

DE³-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks.

Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao

CoRR, 2024

Adversarially attack feature similarity for fine-grained visual classification.

Yupeng Wang, Can Xu, Yongli Wang, Xiaoli Wang, Weiping Ding

Appl. Soft Comput., 2024

Trisection-fusion and fusion-trisection methods of three-way conflict analysis with Pythagorean fuzzy information.

Guangming Lang, Weiping Ding, Duoqian Miao, Hamido Fujita, Yiyu Yao

Appl. Soft Comput., 2024

Three-way evidence theory-based density peak clustering with the principle of justifiable granularity.

Hengrong Ju, Yang Lu, Weiping Ding, Jinxin Cao, Xibei Yang

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

Appl. Soft Comput., 2024

Pheromone-guided parallel rough hypercuboid attribute reduction algorithm.

Weiping Ding, Hongcheng Yao, Hengrong Ju, Jiashuang Huang, Shu Jiang, Yuepeng Chen

Appl. Soft Comput., 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, Hengrong Ju, Lu Liu, Fuxiang Chen, Di Jin

Appl. Soft Comput., 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, Daoqiang Zhang

Artif. Intell. Medicine, 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, Tianrui Li, Weiping Ding, Witold Pedrycz

Appl. Intell., 2024

Modified Hegselmann-Krause Model for Enhancing Opinion Diversity in Social Networks.

Chun Cheng, Jiahao Gu, Siyan Lu, Weiping Ding

IEEE Access, 2024

Quality-Aware Fuzzy Min-Max Neural Networks for Dynamic Brain Network Analysis.

Tao Hou, Jiashuang Huang, Shu Jiang, Weiping Ding

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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, Di Jin

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

RIHNet: A Robust Image Hiding Method for JPEG Compression.

Xin Jin, Zien Cheng, Qian Jiang, Wei-Ping Ding, Yunyun Dong, Liwen Wu, Shengfa Miao

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

Parameter-Free Robust Ensemble Framework of Fuzzy Clustering.

Zhaoyin Shi, Long Chen, Weiping Ding, Chuanbin Zhang, Yingxu Wang

IEEE Trans. Fuzzy Syst., December, 2023

Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning.

Can Gao, Yangbo Wang, Jie Zhou, Weiping Ding, Linlin Shen, Zhihui Lai

IEEE Trans. Emerg. Top. Comput. Intell., December, 2023

Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data.

Lin Sun, Shujing Sun, Weiping Ding, Xinyue Huang, Peiyi Fan, Kunyu Li, Leqi Chen

Int. J. Mach. Learn. Cybern., December, 2023

Risk and UCON-based access control model for healthcare big data.

Rong Jiang, Xue Chen, Yimin Yu, Ying Zhang, Weiping Ding

J. Big Data, December, 2023

Multi-label feature selection based on rough granular-ball and label distribution.

Wenbin Qian, Fankang Xu, Jin Qian, Wenhao Shu, Weiping Ding

Inf. Sci., December, 2023

PI-ELM: Reinforcement learning-based adaptable policy improvement for dynamical system.

Yingbai Hu, Xu Wang, Yueyue Liu, Weiping Ding, Alois Knoll

Inf. Sci., December, 2023

MMIEA: Multi-modal Interaction Entity Alignment model for knowledge graphs.

Bin Zhu, Meng Wu, Yunpeng Hong, Yi Chen, Bo Xie, Fei Liu, Chenyang Bu, Weiping Ding

Inf. Fusion, December, 2023

Information fusion for multi-scale data: Survey and challenges.

Qinghua Zhang, Ying Yang, Yunlong Cheng, Guoyin Wang, Weiping Ding, Wei-Zhi Wu, Danilo Pelusi

Inf. Fusion, December, 2023

TWC-EL: A multivariate prediction model by the fusion of three-way clustering and ensemble learning.

Xunjin Wu, Jianming Zhan, Weiping Ding

Inf. Fusion, December, 2023

A survey on graph embedding techniques for biomedical data: Methods and applications.

Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King

Inf. Fusion, December, 2023

A survey on multi-label feature selection from perspectives of label fusion.

Wenbin Qian, Jintao Huang, Fankang Xu, Wenhao Shu, Weiping Ding

Inf. Fusion, December, 2023

A survey on fairness-aware recommender systems.

Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan

Inf. Fusion, December, 2023

M-FCCL: Memory-based concept-cognitive learning for dynamic fuzzy data classification and knowledge fusion.

Doudou Guo, Weihua Xu, Yuhua Qian, Weiping Ding

Inf. Fusion, December, 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, Xiaomeng Huang, Hao Wang

IEEE Trans. Intell. Transp. Syst., November, 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, Weiping Ding, Siu-Ming Yiu, Jian Weng

Pattern Recognit., November, 2023

Reward shaping with hierarchical graph topology.

Jianghui Sang, Yongli Wang, Weiping Ding, Zaki Ahmadkhan, Lin Xu

Pattern Recognit., November, 2023

Multi-label feature selection based on correlation label enhancement.

Zhuoxin He, Yaojin Lin, Chenxi Wang, Lei Guo, Weiping Ding

Inf. Sci., November, 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, Muhammet Deveci, Chiranjibe Jana, Weiping Ding

Inf. Sci., November, 2023

Flexible Adaptive Graph Embedding for Semi-supervised Dimension Reduction.

Hebing Nie, Qun Wu, Haifeng Zhao, Weiping Ding, Muhammet Deveci

Inf. Fusion, November, 2023

Multi-level correlation mining framework with self-supervised label generation for multimodal sentiment analysis.

Zuhe Li, Qingbing Guo, Yushan Pan, Weiping Ding, Jun Yu, Yazhou Zhang, Weihua Liu, Haoran Chen, Hao Wang, Ying Xie

Inf. Fusion, November, 2023

Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems.

Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz

Inf. Fusion, November, 2023

FTransCNN: Fusing Transformer and a CNN based on fuzzy logic for uncertain medical image segmentation.

Weiping Ding, Haipeng Wang, Jiashuang Huang, Hengrong Ju, Yu Geng, Chin-Teng Lin, Witold Pedrycz

Inf. Fusion, November, 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

Eng. Appl. Artif. Intell., November, 2023

Multiobjective sparrow search feature selection with sparrow ranking and preference information and its applications for high-dimensional data.

Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu

Appl. Soft Comput., November, 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, Ajith Abraham

Appl. Soft Comput., November, 2023

Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint.

Weihua Xu, Doudou Guo, Jusheng Mi, Yuhua Qian, Keyin Zheng, Weiping Ding

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Fuzzy Rough Sets-Based Incremental Feature Selection for Hierarchical Classification.

Wanli Huang, Yanhong She, Xiaoli He, Weiping Ding

IEEE Trans. Fuzzy Syst., October, 2023

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process.

Jintao Huang, Wenbin Qian, Chi-Man Vong, Weiping Ding, Wenhao Shu, Qin Huang

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Deep learning in multimodal medical imaging for cancer detection.

Priti Bansal, Vincenzo Piuri, Vasile Palade, Weiping Ding

Neural Comput. Appl., October, 2023

MAP-FCRNN: Multi-step ahead prediction model using forecasting correction and RNN model with memory functions.

Rongtao Zhang, Xueling Ma, Weiping Ding, Jianming Zhan

Inf. Sci., October, 2023

HAR-DeepConvLG: Hybrid deep learning-based model for human activity recognition in IoT applications.

Weiping Ding, Mohamed Abdel-Basset, Reda Mohamed

Inf. Sci., October, 2023

Dual-stream EfficientNet with adversarial sample augmentation for COVID-19 computer aided diagnosis.

Weijie Xu, Lina Nie, Beijing Chen, Weiping Ding

Comput. Biol. Medicine, October, 2023

Assessor-guided learning for continual environments.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko

Inf. Sci., September, 2023

Vision-knowledge fusion model for multi-domain medical report generation.

Dexuan Xu, Huashi Zhu, Yu Huang, Zhi Jin, Weiping Ding, Hang Li, Menglong Ran

Inf. Fusion, September, 2023

Bi-directional adaptive neighborhood rough sets based attribute subset selection.

Hengrong Ju, Weiping Ding, Xibei Yang, Pingping Gu

Int. J. Approx. Reason., September, 2023

Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy.

Xiaobo Li, Qiyong Fu, Qi Li, Weiping Ding, Feilong Lin, Zhonglong Zheng

Appl. Soft Comput., September, 2023

Deep Hyperspherical Clustering for Skin Lesion Medical Image Segmentation.

Zuowei Zhang, Songtao Ye, Zechao Liu, Hao Wang, Weiping Ding

IEEE J. Biomed. Health Informatics, August, 2023

Multi-Scale Attention Generative Adversarial Network for Medical Image Enhancement.

Guojin Zhong, Weiping Ding, Long Chen, Yingxu Wang, Yu-Feng Yu

IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

A Variation-Aware Quantum Circuit Mapping Approach Based on Multi-Agent Cooperation.

Pengcheng Zhu, Weiping Ding, Lihua Wei, Xueyun Cheng, Zhijin Guan, Shiguang Feng

IEEE Trans. Computers, August, 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, Mohammad Shabaz, Imad Rida

Pattern Recognit. Lett., August, 2023

Three-way conflict analysis and resolution based on <i>q</i>-rung orthopair fuzzy information.

Tengbiao Li, Junsheng Qiao, Weiping Ding

Inf. Sci., August, 2023

Mining and reasoning of data uncertainty-induced imprecision in deep image classification.

Zuowei Zhang, Liangbo Ning, Zechao Liu, Qingyu Yang, Weiping Ding

Inf. Fusion, August, 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, Dragan Pamucar

Expert Syst. Appl., August, 2023

From Corrective to Predictive Maintenance - A Review of Maintenance Approaches for the Power Industry.

Marek Moleda, Bozena Malysiak-Mrozek, Weiping Ding, Vaidy S. Sunderam, Dariusz Mrozek

Sensors, July, 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, Xiaoli Jiang

Int. J. Mach. Learn. Cybern., July, 2023

Target-oriented multimodal sentiment classification by using topic model and gating mechanism.

Zhengxin Song, Yun Xue, Donghong Gu, Haolan Zhang, Weiping Ding

Int. J. Mach. Learn. Cybern., July, 2023

Information granules-based long-term forecasting of time series via BPNN under three-way decision framework.

Chenglong Zhu, Xueling Ma, Chao Zhang, Weiping Ding, Jianming Zhan

Inf. Sci., July, 2023

DeepAK-IoT: An effective deep learning model for cyberattack detection in IoT networks.

Weiping Ding, Mohamed Abdel-Basset, Reda Mohamed

Inf. Sci., July, 2023

PKET-GCN: Prior knowledge enhanced time-varying graph convolution network for traffic flow prediction.

Yinxin Bao, Jiali Liu, Qinqin Shen, Yang Cao, Weiping Ding, Quan Shi

Inf. Sci., July, 2023

Internet of Behaviors: A Survey.

Jiayi Sun, Wensheng Gan, Han-Chieh Chao, Philip S. Yu, Weiping Ding

IEEE Internet Things J., July, 2023

TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data.

Lin Sun, Shanshan Si, Weiping Ding, Xinya Wang, Jiucheng Xu

Inf. Fusion, July, 2023

Distributed state-of-charge estimation for lithium-ion batteries with random sensor failure under dynamic event-triggering protocol.

Cong Huang, Weiping Ding, Ruifeng Gao, Peng Mei, Hamid Reza Karimi

Inf. Fusion, July, 2023

Graph based fuzzy clustering algorithm for crime report labelling.

Aparna Pramanik, Asit Kumar Das, Weiping Ding

Appl. Soft Comput., July, 2023

Two-Way Concept-Cognitive Learning Method: A Fuzzy-Based Progressive Learning.

Weihua Xu, Doudou Guo, Yuhua Qian, Weiping Ding

IEEE Trans. Fuzzy Syst., June, 2023

A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets.

Weihua Xu, Yanzhou Pan, Xiuwei Chen, Weiping Ding, Yuhua Qian

IEEE Trans. Big Data, June, 2023

Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering.

Weiping Ding, Zhihao Feng, Javier Andreu-Perez, Witold Pedrycz

Neural Process. Lett., June, 2023

Editorial: Special Issue on Transfer Learning.

Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun

Neural Process. Lett., June, 2023

Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment.

Deepak Kumar Jain, Weiping Ding, Ketan Kotecha

Int. J. Mach. Learn. Cybern., June, 2023

On development of multimodal named entity recognition using part-of-speech and mixture of experts.

Jianying Chen, Yun Xue, Haolan Zhang, Weiping Ding, Zhengxuan Zhang, Jiehai Chen

Int. J. Mach. Learn. Cybern., June, 2023

A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning.

Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu, Hongwei Liu, Weiping Ding, Ruiguo Yu

Inf. Sci., June, 2023

Fed-ESD: Federated learning for efficient epileptic seizure detection in the fog-assisted internet of medical things.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Sara Abdel-Razek, Chuansheng Liu

Inf. Sci., June, 2023

Disambiguation-based partial label feature selection via feature dependency and label consistency.

Wenbin Qian, Yihui Li, Qianzhi Ye, Weiping Ding, Wenhao Shu

Inf. Fusion, June, 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, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci

IEEE CAA J. Autom. Sinica, June, 2023

Robust fuzzy rough approximations with kNN granules for semi-supervised feature selection.

Shuang An, Mengru Zhang, Changzhong Wang, Weiping Ding

Fuzzy Sets Syst., June, 2023

Bimodal HAR-An efficient approach to human activity analysis and recognition using bimodal hybrid classifiers.

K. Venkatachalam, Zaoli Yang, Pavel Trojovský, Nebojsa Bacanin, Muhammet Deveci, Weiping Ding

Inf. Sci., May, 2023

Spatial-Temporal Complex Graph Convolution Network for Traffic Flow Prediction.

Yinxin Bao, Jiashuang Huang, Qinqin Shen, Yang Cao, Weiping Ding, Zhen-Quan Shi, Quan Shi

Eng. Appl. Artif. Intell., May, 2023

AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization.

Lin Sun, Yusheng Chen, Weiping Ding, Jiucheng Xu, Yuanyuan Ma

Appl. Soft Comput., May, 2023

Finger Vein Image Deblurring Using Neighbors-Based Binary-GAN (NB-GAN).

Jing He, Lei Shen, Yudong Yao, Huaxia Wang, Guodong Zhao, Xiaowei Gu, Weiping Ding

IEEE Trans. Emerg. Top. Comput. Intell., April, 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, Muhammet Deveci, Dragan Pamucar, Weiping Ding

Inf. Sci., April, 2023

An access control model for medical big data based on clustering and risk.

Rong Jiang, Shanshan Han, Yimin Yu, Weiping Ding

Inf. Sci., April, 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

Inf. Sci., April, 2023

MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz

Inf. Sci., April, 2023

TSK fuzzy system fusion at sensitivity-ensemble-level for imbalanced data classification.

Yuanpeng Zhang, Guanjin Wang, Xiuyu Huang, Weiping Ding

Inf. Fusion, April, 2023

Pixel and region level information fusion in membership regularized fuzzy clustering for image segmentation.

Li Guo, Pengfei Shi, Long Chen, Chenglizhao Chen, Weiping Ding

Inf. Fusion, April, 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

Appl. Intell., April, 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

IEEE Trans. Ind. Informatics, March, 2023

Generalized Interval Type-II Fuzzy Rough Model-Based Feature Discretization for Mixed Pixels.

Qiong Chen, Weiping Ding, Xiaomeng Huang, Hao Wang

IEEE Trans. Fuzzy Syst., March, 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

New Gener. Comput., March, 2023

A Diabetes Prediction System Based on Incomplete Fused Data Sources.

Zhaoyi Yuan, Hao Ding, Guoqing Chao, Mingqiang Song, Lei Wang, Weiping Ding, Dianhui Chu

Mach. Learn. Knowl. Extr., March, 2023

Motor imagery classification via stacking-based Takagi-Sugeno-Kang fuzzy classifier ensemble.

Yuanpeng Zhang, Weiping Ding

Knowl. Based Syst., March, 2023

Human Inertial Thinking Strategy: A Novel Fuzzy Reasoning Mechanism for IoT-Assisted Visual Monitoring.

Shuai Liu, Shuai Wang, Xinyu Liu, Jianhua Dai, Khan Muhammad, Amir H. Gandomi, Weiping Ding, Mohammad Hijji, Victor Hugo C. de Albuquerque

IEEE Internet Things J., March, 2023

Multi-label feature selection based on label distribution and neighborhood rough set.

Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, Cheng Wang, Jixiang Du

Neurocomputing, March, 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

Appl. Intell., March, 2023

Intrusion Detection for Maritime Transportation Systems With Batch Federated Aggregation.

Wentao Liu, Xiaolong Xu, Lianxiang Wu, Lianyong Qi, Alireza Jolfaei, Weiping Ding, Mohammad Reza Khosravi

IEEE Trans. Intell. Transp. Syst., February, 2023

DNS Rebinding Threat Modeling and Security Analysis for Local Area Network of Maritime Transportation Systems.

Xudong He, Jian Wang, Jiqiang Liu, Weiping Ding, Zhen Han, Bin Wang, Jamel Nebhen, Wei Wang

IEEE Trans. Intell. Transp. Syst., February, 2023

An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution.

Weihua Xu, Kehua Yuan, Wentao Li, Weiping Ding

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

TSFNFS: two-stage-fuzzy-neighborhood feature selection with binary whale optimization algorithm.

Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu, Huili Meng

Int. J. Mach. Learn. Cybern., February, 2023

Three-Way Behavioral Decision Making With Hesitant Fuzzy Information Systems: Survey and Challenges.

Jianming Zhan, Jiajia Wang, Weiping Ding, Yiyu Yao

IEEE CAA J. Autom. Sinica, February, 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, Le Hoang Son

Artif. Intell. Rev., February, 2023

Robust Correlation Filter Learning With Continuously Weighted Dynamic Response for UAV Visual Tracking.

Yang Zhang, Yu-Feng Yu, Long Chen, Weiping Ding

IEEE Trans. Geosci. Remote. Sens., 2023

Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels.

Jinghua Liu, Yaojin Lin, Weiping Ding, Hongbo Zhang, Jixiang Du

IEEE Trans. Fuzzy Syst., 2023

Feature Selection Approach Based on Improved Fuzzy C-Means With Principle of Refined Justifiable Granularity.

Wentao Li, Shichao Zhai, Weihua Xu, Witold Pedrycz, Yuhua Qian, Weiping Ding, Tao Zhan

IEEE Trans. Fuzzy Syst., 2023

Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu

IEEE Trans. Fuzzy Syst., 2023

MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Osama M. Elkomy

IEEE Trans. Cybern., 2023

Amer: A New Attribute-Missing Network Embedding Approach.

Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz

IEEE Trans. Cybern., 2023

BSSFS: binary sparrow search algorithm for feature selection.

Lin Sun, Shanshan Si, Weiping Ding, Jiucheng Xu, Yan Zhang

Int. J. Mach. Learn. Cybern., 2023

SD-CNN: A static-dynamic convolutional neural network for functional brain networks.

Jiashuang Huang, Mingliang Wang, Hengrong Ju, Zhen-Quan Shi, Weiping Ding, Daoqiang Zhang

Medical Image Anal., 2023

Attention-based multimodal glioma segmentation with multi-attention layers for small-intensity dissimilarity.

Xiangbin Liu, Shufen Hou, Shuai Liu, Weiping Ding, Yudong Zhang

J. King Saud Univ. Comput. Inf. Sci., 2023

Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions.

Shradha Verma, Tripti Goel, Muhammad Tanveer, Weiping Ding, Rahul Sharma, R. Murugan

J. Ambient Intell. Humaniz. Comput., 2023

Multi-modal fusion network with complementarity and importance for emotion recognition.

Shuai Liu, Peng Gao, Yating Li, Weina Fu, Weiping Ding

Inf. Sci., 2023

Special issue on Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data.

Weiping Ding, Jun Liu, Chin-Teng Lin, Dariusz Mrozek

Inf. Sci., 2023

Distracted driving detection based on the fusion of deep learning and causal reasoning.

Peng Ping, Cong Huang, Weiping Ding, Yongkang Liu, Chiyomi Miyajima, Kazuya Takeda

Inf. Fusion, 2023

A Quantum Tanimoto Coefficient Fidelity for Entanglement Measurement.

Yangyang Zhao, Fuyuan Xiao, Masayoshi Aritsugi, Weiping Ding

IEEE CAA J. Autom. Sinica, 2023

Attacks Against Cross-Chain Systems and Defense Approaches: A Contemporary Survey.

Li Duan, Yangyang Sun, Wei Ni, Weiping Ding, Jiqiang Liu, Wei Wang

IEEE CAA J. Autom. Sinica, 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

Expert Syst. Appl., 2023

A Fermatean fuzzy Fine-Kinney for occupational risk evaluation using extensible MARCOS with prospect theory.

Weizhong Wang, Xiao Han, Weiping Ding, Qun Wu, Xiaoqing Chen, Muhammet Deveci

Eng. Appl. Artif. Intell., 2023

Enhancing motion visual cues for self-supervised video representation learning.

Mu Nie, Zhibin Quan, Weiping Ding, Wankou Yang

Eng. Appl. Artif. Intell., 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, Jeremy S. Smith, Eng Gee Lim, Weiping Ding, Yutao Yue

CoRR, 2023

Survey on deep learning in multimodal medical imaging for cancer detection.

Yan Tian, Zhaocheng Xu, Yujun Ma, Weiping Ding, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao

CoRR, 2023

DNFS-VNE: Deep Neuro-Fuzzy System-Driven Virtual Network Embedding Algorithm.

Ailing Xiao, Ning Chen, Sheng Wu, Shigen Shen, Weiping Ding, Peiying Zhang

CoRR, 2023

EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning.

Shiming Chen, Shihuang Chen, Wenjin Hou, Weiping Ding, Xinge You

CoRR, 2023

Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement.

Che Liu, Sibo Cheng, Weiping Ding, Rossella Arcucci

CoRR, 2023

Efficient Evaluation Methods for Neural Architecture Search: A Survey.

Xiangning Xie, Xiaotian Song, Zeqiong Lv, Gary G. Yen, Weiping Ding, Yanan Sun

CoRR, 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

Appl. Soft Comput., 2023

Special issue on fuzzy systems for biomedical science in healthcare.

Weiping Ding, Javier Andréu Pérez, Yiu-ming Cheung, Swagatam Das, Xiaodong Yue, Dariusz Mrozek

Appl. Soft Comput., 2023

A three-way decision method with tolerance dominance relations in decision information systems.

Wenjie Wang, Jianming Zhan, Weiping Ding, Shuping Wan

Artif. Intell. Rev., 2023

Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review.

Anubha Parashar, Apoorva Parashar, Weiping Ding, Rajveer Singh Shekhawat, Imad Rida

Artif. Intell. Rev., 2023

A novel prospect-theory-based three-way decision methodology in multi-scale information systems.

Jiang Deng, Jianming Zhan, Weiping Ding, Peide Liu, Witold Pedrycz

Artif. Intell. Rev., 2023

Brain Age Prediction Based on Resting-State Functional MRI Using Similarity Metric Convolutional Neural Network.

Weiping Ding, Xinjie Shen, Jiashuang Huang, Hengrong Ju, Yuepeng Chen, Tao Yin

IEEE Access, 2023

An Ultra-short-Term Wind Speed Prediction Method Based on Spatio-Temporal Feature Decomposition and Multi Feature Fusion Network.

Xuewei Li, Guanrong He, Jian Yu, Zhiqiang Liu, Mei Yu, Wei-Ping Ding, Wei Xiong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Blockchain-Based System for Vaccine Traceability.

Xining Zhuji, Jiehua Wang, Weiping Ding, Weixiang Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism.

Changzhong Wang, Xiang Lv, Weiping Ding, Xiaodong Fan

Soft Comput., December, 2022

Deep Learning Techniques for IoT Security and Privacy

Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding

Studies in Computational Intelligence 997, Springer, ISBN: 978-3-030-89024-7, 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, Weiping Ding

ACM Trans. Manag. Inf. 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, Weiping Ding

ACM Trans. Manag. Inf. Syst., 2022

A Novel Three-Way Decision Model Based on Utility Theory in Incomplete Fuzzy Decision Systems.

Jianming Zhan, Jin Ye, Weiping Ding, Peide Liu

IEEE Trans. Fuzzy Syst., 2022

Feature Selection With Fuzzy-Rough Minimum Classification Error Criterion.

Changzhong Wang, Yuhua Qian, Weiping Ding, Xiaodong Fan

IEEE Trans. Fuzzy Syst., 2022

Feature Selection With Missing Labels Using Multilabel Fuzzy Neighborhood Rough Sets and Maximum Relevance Minimum Redundancy.

Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu

IEEE Trans. Fuzzy Syst., 2022

High-Efficient Fuzzy Querying With HiveQL for Big Data Warehousing.

Bozena Malysiak-Mrozek, Jadwiga Wieszok, Witold Pedrycz, Weiping Ding, Dariusz Mrozek

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, Ruijie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding

IEEE Trans. Fuzzy Syst., 2022

An Unsupervised Fuzzy Clustering Approach for Early Screening of COVID-19 From Radiological Images.

Weiping Ding, Shouvik Chakraborty, Kalyani Mali, Sankhadeep Chatterjee, Janmenjoy Nayak, Asit Kumar Das, Soumen Banerjee

IEEE Trans. Fuzzy Syst., 2022

Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Witold Pedrycz

IEEE Trans. Fuzzy Syst., 2022

A Majority Rule-Based Measure for Atanassov-Type Intuitionistic Membership Grades in MCDM.

Cuiping Cheng, Weiping Ding, Fuyuan Xiao, Witold Pedrycz

IEEE Trans. Fuzzy Syst., 2022

A Spectral Feature Selection Approach With Kernelized Fuzzy Rough Sets.

Jinkun Chen, Yaojin Lin, Jusheng Mi, Shaozi Li, Weiping Ding

IEEE Trans. Fuzzy Syst., 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, Gaoxi Xiao

IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Generalized Deep Neural Network Approach for Digital Watermarking Analysis.

Weiping Ding, Yurui Ming, Zehong Cao, Chin-Teng Lin

IEEE Trans. Emerg. Top. Comput. 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

IEEE Trans. Cogn. Dev. Syst., 2022

Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving.

Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang

IEEE Trans. Artif. Intell., 2022

Network pruning via probing the importance of filters.

Jiandong Kuang, Mingwen Shao, Ran Wang, Wangmeng Zuo, Weiping Ding

Int. J. Mach. Learn. Cybern., 2022

TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification.

Lin Sun, Xinya Wang, Weiping Ding, Jiucheng Xu

Knowl. Based Syst., 2022

IVKMP: A robust data-driven heterogeneous defect model based on deep representation optimization learning.

Kun Zhu, Shi Ying, Weiping Ding, Nana Zhang, Dandan Zhu

Inf. Sci., 2022

Dynamic information fusion in multi-source incomplete interval-valued information system with variation of information sources and attributes.

Xiaoyan Zhang, Xiuwei Chen, Weihua Xu, Weiping Ding

Inf. Sci., 2022

An incremental learning mechanism for object classification based on progressive fuzzy three-way concept.

Kehua Yuan, Weihua Xu, Wentao Li, Weiping Ding

Inf. Sci., 2022

A novel three-way decision approach in decision information systems.

Jin Ye, Jianming Zhan, Weiping Ding, Hamido Fujita

Inf. Sci., 2022

Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors.

Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu

Inf. Sci., 2022

AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data.

Lin Sun, Mengmeng Li, Weiping Ding, En Zhang, Xiaoxia Mu, Jiucheng Xu

Inf. Sci., 2022

A novel severity calibration algorithm for defect detection by constructing maps.

Ying Li, Binbin Fan, Weiping Ding, Weiping Zhang, Jianwei Yin

Inf. Sci., 2022

Attribute reduction with personalized information granularity of nearest mutual neighbors.

Hengrong Ju, Weiping Ding, Zhen-Quan Shi, Jiashuang Huang, Jie Yang, Xibei Yang

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

Inf. Sci., 2022

Parallel incremental efficient attribute reduction algorithm based on attribute tree.

Weiping Ding, Tingzhen Qin, Xinjie Shen, Hengrong Ju, Haipeng Wang, Jiashuang Huang, Ming Li

Inf. Sci., 2022

Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Nour Moustafa

Inf. Sci., 2022

Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash, Ahmed M. Ali

Inf. Sci., 2022

Collaborative granular sieving: A deterministic multievolutionary algorithm for multimodal optimization problems.

Lei Dai, Liming Zhang, Zehua Chen, Weiping Ding

Inf. Sci., 2022

Detecting deepfake videos based on spatiotemporal attention and convolutional LSTM.

Beijing Chen, Tianmu Li, Weiping Ding

Inf. Sci., 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

Inf. Sci., 2022

Variational learning of deep fuzzy theoretic nonparametric model.

Weiping Zhang, Mohit Kumar, Weiping Ding, Xiujuan Li, Junfeng Yu

Neurocomputing, 2022

Nearest neighbors-based adaptive density peaks clustering with optimized allocation strategy.

Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu

Neurocomputing, 2022

Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods.

Anubha Parashar, Rajveer Singh Shekhawat, Weiping Ding, Imad Rida

Neurocomputing, 2022

Two-stage-neighborhood-based multilabel classification for incomplete data with missing labels.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Anhui Tan

Int. J. Intell. Syst., 2022

An error correction prediction model based on three-way decision and ensemble learning.

Xianfeng Huang, Jianming Zhan, Weiping Ding, Witold Pedrycz

Int. J. Approx. Reason., 2022

Belief Combination of Classifiers for Incomplete Data.

Zuowei Zhang, Songtao Ye, Yiru Zhang, Weiping Ding, Hao Wang

IEEE CAA J. Autom. Sinica, 2022

Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs.

Linyao Yang, Chen Lv, Xiao Wang, Ji Qiao, Weiping Ding, Jun Zhang, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 2022

Cyberbullying and Cyberviolence Detection: A Triangular User-Activity-Content View.

Shuwen Wang, Xingquan Zhu, Weiping Ding, Amir Alipour Yengejeh

IEEE CAA J. Autom. Sinica, 2022

Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis.

Diego García-Zamora, Álvaro Labella, Weiping Ding, Rosa M. Rodríguez, Luis Martínez

IEEE CAA J. Autom. Sinica, 2022

On-shelf utility mining from transaction database.

Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding, Guoting Chen

Eng. Appl. Artif. Intell., 2022

FAF: A novel multimodal emotion recognition approach integrating face, body and text.

Zhongyu Fang, Aoyun He, Qihui Yu, Baopeng Gao, Weiping Ding, Tong Zhang, Lei Ma

CoRR, 2022

Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread.

Dixizi Liu, Weiping Ding, Zhijie Sasha Dong, Witold Pedrycz

Comput. Ind. Eng., 2022

Robust weakly supervised learning for COVID-19 recognition using multi-center CT images.

Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

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

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, Javier Andreu-Perez

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, Yi Chu, Sizhe Tang, Xiaoyun Jia, Xiaolong Xu

Appl. Soft Comput., 2022

Target-aware U-Net with fuzzy skip connections for refined pancreas segmentation.

Yufei Chen, Chang Xu, Weiping Ding, Shichen Sun, Xiaodong Yue, Hamido Fujita

Appl. Soft Comput., 2022

Interval-valued intuitionistic fuzzy jenson-shannon divergence and its application in multi-attribute decision making.

Zhe Wang, Fuyuan Xiao, Weiping Ding

Appl. Intell., 2022

Mixed measure-based feature selection using the Fisher score and neighborhood rough sets.

Lin Sun, Jiuxiao Zhang, Weiping Ding, Jiucheng Xu

Appl. Intell., 2022

Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information.

Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang

Appl. Intell., 2022

Editorial: special issue on multi-view learning.

Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun

Appl. Intell., 2022

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph.

Weiping Ding, Bairu Pan, Hengrong Ju, Jiashuang Huang, Chun Cheng, Xinjie Shen, Yu Geng, Tao Hou

IEEE Access, 2022

A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks.

Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Anthony Miller, Lu Liu, Weiping Ding

IEEE Access, 2022

Efficient Video Summarization for Smart Surveillance Systems.

Khan Muhammad, Tanveer Hussain, Javier Del Ser, Weiping Ding, Amir H. Gandomi, Victor Hugo C. de Albuquerque

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An enhanced driver's risk perception modeling based on gate recurrent unit network.

Peng Ping, Weiping Ding, Yongkang Liu, Kazuya Takeda

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

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, Chin-Teng Lin, Mukesh Prasad

IEEE Trans. Syst. Man Cybern. Syst., 2021

Street View Text Recognition With Deep Learning for Urban Scene Understanding in Intelligent Transportation Systems.

Chongsheng Zhang, Weiping Ding, Guowen Peng, Feifei Fu, Wei Wang

IEEE Trans. Intell. Transp. Syst., 2021

An Efficient and Scalable Simulation Model for Autonomous Vehicles With Economical Hardware.

Muhammad Sajjad, Muhammad Irfan, Khan Muhammad, Javier Del Ser, Javier J. Sánchez Medina, Sergey Andreev, Weiping Ding, Jong Weon Lee

IEEE Trans. Intell. Transp. Syst., 2021

Fuzzy and Real-Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment.

Weiping Ding, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, Manohar Mishra

IEEE Trans. Ind. Informatics, 2021

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets.

Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu

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, Mohamed Abdel-Basset, Victor Hugo C. de Albuquerque

IEEE Trans. Fuzzy Syst., 2021

Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest.

Fang-Qi Li, Shi-Lin Wang, Alan Wee-Chung Liew, Weiping Ding, Gongshen Liu

IEEE Trans. Fuzzy Syst., 2021

Explainable Fuzzy Utility Mining on Sequences.

Wensheng Gan, Zilin Du, Weiping Ding, Chunkai Zhang, Han-Chieh Chao

IEEE Trans. Fuzzy Syst., 2021

Multigranulation Supertrust Model for Attribute Reduction.

Weiping Ding, Witold Pedrycz, Isaac Triguero, Zehong Cao, Chin-Teng Lin

IEEE Trans. Fuzzy Syst., 2021

ANCS: Automatic NXDomain Classification System Based on Incremental Fuzzy Rough Sets Machine Learning.

Liming Fang, Xinyu Yun, Changchun Yin, Weiping Ding, Lu Zhou, Zhe Liu, Chunhua Su

IEEE Trans. Fuzzy Syst., 2021

Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment.

Ye Shi, Chin-Teng Lin, Yu-Cheng Chang, Weiping Ding, Yuhui Shi, Xin Yao

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree.

Weiping Ding, Isaac Triguero, Chin-Teng Lin

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments.

Weiping Ding, Nikhil R. Pal, Chin-Teng Lin, Yiu-ming Cheung, Zehong Cao, Wenjian Luo

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Evolutionary Deep Fusion Method and its Application in Chemical Structure Recognition.

Xinyan Liang, Qian Guo, Yuhua Qian, Weiping Ding, Qingfu Zhang

IEEE Trans. Evol. Comput., 2021

Guest Editorial Evolutionary Computation Meets Deep Learning.

Weiping Ding, Witold Pedrycz, Gary G. Yen, Bing Xue

IEEE Trans. Evol. Comput., 2021

CDE-GAN: Cooperative Dual Evolution-Based Generative Adversarial Network.

Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, Weiping Ding

IEEE Trans. Evol. Comput., 2021

Smart Supervision of Cardiomyopathy Based on Fuzzy Harris Hawks Optimizer and Wearable Sensing Data Optimization: A New Model.

Weiping Ding, Mohamed Abdel-Basset, Khalid A. Eldrandaly, Laila Abdel-Fatah, Victor Hugo C. de Albuquerque

IEEE Trans. Cybern., 2021

Toward the Development of Versatile Brain-Computer Interfaces.

Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly, Weiping Ding

IEEE Trans. Artif. Intell., 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

Swarm Evol. Comput., 2021

A comprehensive survey of multi-view video summarization.

Tanveer Hussain, Khan Muhammad, Weiping Ding, Jaime Lloret, Sung Wook Baik, Victor Hugo C. de Albuquerque

Pattern Recognit., 2021

Density peaks clustering based on k-nearest neighbors and self-recommendation.

Lin Sun, Xiaoying Qin, Weiping Ding, Jiucheng Xu, Shiguang Zhang

Int. J. Mach. Learn. Cybern., 2021

HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning.

Linyao Yang, Xiao Wang, Yuxin Dai, Kejun Xin, Xiaolong Zheng, Weiping Ding, Jun Zhang, Fei-Yue Wang

Knowl. Based Syst., 2021

An improved D-S evidence theory based neighborhood rough classification approach.

Tao Yin, Xiaojuan Mao, Xingtan Wu, Hengrong Ju, Weiping Ding, Xibei Yang

J. Intell. Fuzzy Syst., 2021

WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation.

Nana Zhang, Shi Ying, Weiping Ding, Kun Zhu, Dandan Zhu

Inf. Sci., 2021

A novel fuzzy rough set model with fuzzy neighborhood operators.

Jin Ye, Jianming Zhan, Weiping Ding, Hamido Fujita

Inf. Sci., 2021

Attribute reduction with fuzzy rough self-information measures.

Changzhong Wang, Yang Huang, Weiping Ding, Zehong Cao

Inf. Sci., 2021

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification.

Lin Sun, Tianxiang Wang, Weiping Ding, Jiucheng Xu, Yaojin Lin

Inf. Sci., 2021

Deep active learning for object detection.

Ying Li, Binbin Fan, Weiping Zhang, Weiping Ding, Jianwei Yin

Inf. Sci., 2021

Semi-supervised label distribution learning via projection graph embedding.

Xiuyi Jia, Tao Wen, Weiping Ding, Huaxiong Li, Weiwei Li

Inf. Sci., 2021

A network embedding-enhanced Bayesian model for generalized community detection in complex networks.

Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding, Shizhan Chen, Zhiyong Feng, Bo Wang, Yuxiao Huang

Inf. Sci., 2021

RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions.

Weiping Ding, Mohamed Abdel-Basset, Hossam Hawash

Inf. Sci., 2021

Incremental classifier in crime prediction using bi-objective Particle Swarm Optimization.

Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding

Inf. Sci., 2021

Locally GAN-generated face detection based on an improved Xception.

Beijing Chen, Xingwang Ju, Bin Xiao, Weiping Ding, Yuhui Zheng, Victor Hugo C. de Albuquerque

Inf. Sci., 2021

Discovering high utility-occupancy patterns from uncertain data.

Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding

Inf. Sci., 2021

Effective template update mechanism in visual tracking with background clutter.

Shuai Liu, Dongye Liu, Khan Muhammad, Weiping Ding

Neurocomputing, 2021

Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data.

Weiping Ding, Janmenjoy Nayak, H. Swapnarekha, Ajith Abraham, Bighnaraj Naik, Danilo Pelusi

Neurocomputing, 2021

Memory augmented convolutional neural network and its application in bioimages.

Weiping Ding, Yurui Ming, Yu-Kai Wang, Chin-Teng Lin

Neurocomputing, 2021

Group incremental adaptive clustering based on neural network and rough set theory for crime report categorization.

Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding

Neurocomputing, 2021

Selection strategy in graph-based spreading dynamics with limited capacity.

Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen

Future Gener. Comput. Syst., 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, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee

Comput. Medical Imaging Graph., 2021

Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications.

Amin Ullah, Khan Muhammad, Weiping Ding, Vasile Palade, Ijaz Ul Haq, Sung Wook Baik

Appl. Soft Comput., 2021

Ensemble summarization of bio-medical articles integrating clustering and multi-objective evolutionary algorithms.

Chirantana Mallick, Asit Kumar Das, Weiping Ding, Janmenjoy Nayak

Appl. Soft Comput., 2021

Robust supervised rough granular description model with the principle of justifiable granularity.

Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujita, Suping Xu

Appl. Soft Comput., 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, Danilo Pelusi

Appl. Intell., 2021

A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection.

Mohamed Abdel-Basset, Weiping Ding, Doaa El-Shahat

Artif. Intell. Rev., 2021

A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks.

Yintong Wang, Yingjie Yang, Weiping Ding, Shuo Li

IEEE Access, 2021

An Improved SFLA-Kmeans Algorithm Based on Approximate Backbone and Its Application in Retinal Fundus Image.

Weiping Ding, Yi Zhang, Ying Sun, Tingzhen Qin

IEEE Access, 2021

Parallel Pathway Convolutional Neural Network with Low-rank Fusion for Brain Age Prediction.

Xinjie Shen, Jiashuang Huang, Ying Sun, Ming Li, Bairu Pan, Weiping Ding

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

Adaptive FCM Clustering Algorithm Based On Twin Multiple Population Genetic Evolution.

Zhihao Feng, Weiping Ding, Jinxin Cao, Chudi Sun, Xinjie Shen, Haipeng Wang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020

Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis.

Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, Zehong Cao

ACM Trans. Multim. Comput. Commun. Appl., 2020

Blockchain-Based Mobile Crowd Sensing in Industrial Systems.

Junqin Huang, Linghe Kong, Hong-Ning Dai, Weiping Ding, Long Cheng, Guihai Chen, Xi Jin, Peng Zeng

IEEE Trans. Ind. Informatics, 2020

Fusing Fuzzy Monotonic Decision Trees.

Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Weiping Ding

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, João P. Papa, Victor Hugo C. de Albuquerque

IEEE Trans. Fuzzy Syst., 2020

Guest Editorial for the Special Issue on Fuzzy Rough Sets for Big Data.

Weiping Ding, Witold Pedrycz, Chin-Teng Lin

IEEE Trans. Fuzzy Syst., 2020

Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce.

Weiping Ding, Chin-Teng Lin, Witold Pedrycz

IEEE Trans. Cybern., 2020

A multi-objective adaptive evolutionary algorithm to extract communities in networks.

Qi Li, Zehong Cao, Weiping Ding, Qing Li

Swarm Evol. Comput., 2020

Foreword: Evolutionary data mining for big data.

Weiping Ding, Gary G. Yen, Xinye Cai, Zehong Cao

Swarm Evol. Comput., 2020

Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems.

Lin Sun, Lanying Wang, Weiping Ding, Yuhua Qian, Jiucheng Xu

Knowl. Based Syst., 2020

Multigranulation consensus fuzzy-rough based attribute reduction.

Weiping Ding, Jiandong Wang, Jiehua Wang

Knowl. Based Syst., 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, Abhishek Kumar

J. Intell. Fuzzy Syst., 2020

Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems.

Lin Sun, Tengyu Yin, Weiping Ding, Yuhua Qian, Jiucheng Xu

Inf. Sci., 2020

Local community detection by the nearest nodes with greater centrality.

Wenjian Luo, Nannan Lu, Li Ni, Wenjie Zhu, Weiping Ding

Inf. Sci., 2020

Current trends of granular data mining for biomedical data analysis.

Weiping Ding, Chin-Teng Lin, Alan Wee-Chung Liew, Isaac Triguero, Wenjian Luo

Inf. Sci., 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, Laila Abdel-Fatah

Inf. Fusion, 2020

A hierarchical meta-model for multi-class mental task based brain-computer interfaces.

Akshansh Gupta, R. K. Agrawal, Jyoti Singh Kirar, Baljeet Kaur, Weiping Ding, Chin-Teng Lin, Javier Andreu-Perez, Mukesh Prasad

Neurocomputing, 2020

Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy.

Zehong Cao, Weiping Ding, Yu-Kai Wang, Farookh Khadeer Hussain, Adel Al-Jumaily, Chin-Teng Lin

Neurocomputing, 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, Wei-Yu Chuang, Lun-De Liao, Yu-Kai Wang

Int. J. Neural Syst., 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

Expert Syst. Appl., 2020

CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network.

Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Zehong Cao, Weiping Ding

CoRR, 2020

A General Approach for Using Deep Neural Network for Digital Watermarking.

Yurui Ming, Weiping Ding, Zehong Cao, Chin-Teng Lin

CoRR, 2020

Decision-Theoretic Rough Set: A Fusion Strategy.

Tao Yin, Xiaojuan Mao, Ying Zhang, Yiting Ma, Hengrong Ju, Weiping Ding

IEEE Access, 2020

Multiple Lesions Detection of Fundus Images Based on Convolution Neural Network Algorithm With Improved SFLA.

Weiping Ding, Ying Sun, Longjie Ren, Hengrong Ju, Zhihao Feng, Ming Li

IEEE Access, 2020

UHUOPM: High Utility Occupancy Pattern Mining in Uncertain Data.

Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A Fuzzy Theory Based Topological Distance Measurement for Undirected Multigraphs.

Jing He, Jinjun Chen, Guangyan Huang, Mengjiao Guo, Zhiwang Zhang, Hui Zheng, Yunyao Li, Ruchuan Wang, Weibei Fan, Chi-Hung Chi, Weiping Ding, Paulo A. de Souza, Bin Chen, Run-Wei Li, Jie Shang, André Van Zundert

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

OSUMI: On-Shelf Utility Mining from Itemset-based Data.

Jiahui Chen, Xu Guo, Wensheng Gan, Chien-Ming Chen, Weiping Ding, Guoting Chen

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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, Chin-Teng Lin, Zehong Cao

IEEE Trans. Neural Networks Learn. Syst., 2019

Robust Image Hashing Based Efficient Authentication for Smart Industrial Environment.

Muhammad Sajjad, Ijaz Ul Haq, Jaime Lloret, Weiping Ding, Khan Muhammad

IEEE Trans. Ind. Informatics, 2019

Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes.

Weiping Ding, Chin-Teng Lin, Zehong Cao

IEEE Trans. Cybern., 2019

Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG.

Zehong Cao, Chin-Teng Lin, Weiping Ding, Mu-Hong Chen, Cheng-Ta Li, Tung-Ping Su

IEEE Trans. Biomed. Eng., 2019

Recent Advances in Supervised Dimension Reduction: A Survey.

Guoqing Chao, Yuan Luo, Weiping Ding

Mach. Learn. Knowl. Extr., 2019

Sequential three-way classifier with justifiable granularity.

Hengrong Ju, Witold Pedrycz, Huaxiong Li, Weiping Ding, Xibei Yang, Xianzhong Zhou

Knowl. Based Syst., 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, Zhan Gao, Xiaohui Zhu, Jiehua Wang

计算机科学, 2019

A hierarchical prototype-based approach for classification.

Xiaowei Gu, Weiping Ding

Inf. Sci., 2019

Semi-supervised feature learning for improving writer identification.

Shiming Chen, Yisong Wang, Chin-Teng Lin, Weiping Ding, Zehong Cao

Inf. Sci., 2019

A unified two-parallel-branch deep neural network for joint gland contour and segmentation learning.

Linbo Wang, Hui Zhen, Xianyong Fang, Shaohua Wan, Weiping Ding, Yanwen Guo

Future Gener. Comput. Syst., 2019

Hiding medical information in brain MR images without affecting accuracy of classifying pathological brain.

Swagatika Devi, Manmath Narayan Sahoo, Khan Muhammad, Weiping Ding, Sambit Bakshi

Future Gener. Comput. Syst., 2019

Divergence measure of Pythagorean fuzzy sets and its application in medical diagnosis.

Fuyuan Xiao, Weiping Ding

Appl. Soft Comput., 2019

Subject adaptation network for EEG data analysis.

Yurui Ming, Weiping Ding, Danilo Pelusi, Dongrui Wu, Yu-Kai Wang, Mukesh Prasad, Chin-Teng Lin

Appl. Soft Comput., 2019

A memetic algorithm using emperor penguin and social engineering optimization for medical data classification.

Santos Kumar Baliarsingh, Weiping Ding, Swati Vipsita, Sambit Bakshi

Appl. Soft Comput., 2019

Hybrid Multilabel Feature Selection Using BPSO and Neighborhood Rough Sets for Multilabel Neighborhood Decision Systems.

Lin Sun, Tengyu Yin, Weiping Ding, Jiucheng Xu

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, Mukesh Prasad

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, Weiping Ding

IEEE Access, 2019

IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing.

Weiping Ding, Gary G. Yen, Gleb Beliakov, Isaac Triguero, Mahardhika Pratama, Xiangliang Zhang, Hongjun Li

IEEE Access, 2019

A Graph Based Clustering Approach for Relation Extraction From Crime Data.

Priyanka Das, Asit Kumar Das, Janmenjoy Nayak, Danilo Pelusi, Weiping Ding

IEEE Access, 2019

SVM-Based Feature Selection for Differential Space Fusion and Its Application to Diabetic Fundus Image Classification.

Weiping Ding

IEEE Access, 2019

Automatic Construction of Multi-layer Perceptron Network from Streaming Examples.

Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum-Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue.

Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Zehong Cao, Jiandong Wang

IEEE Trans. Fuzzy Syst., 2018

Mapping from multiple-control Toffoli circuits to linear nearest neighbor quantum circuits.

Xueyun Cheng, Zhijin Guan, Weiping Ding

Quantum Inf. Process., 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

Quantum Inf. Comput., 2018

Multiagent-consensus-MapReduce-based attribute reduction using co-evolutionary quantum PSO for big data applications.

Weiping Ding, Chin-Teng Lin, Senbo Chen, Xiaofeng Zhang, Bin Hu

Neurocomputing, 2018

Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI.

Weiping Ding, Chin-Teng Lin, Mukesh Prasad

Expert Syst. Appl., 2018

A Modified Distance Dynamics Model for Improvement of Community Detection.

Tao Meng, Lijun Cai, Tingqin He, Lei Chen, Ziyun Deng, Weiping Ding, Zehong Cao

IEEE Access, 2018

A Multimodel Fusion Engine for Filtering Webpages.

Ziyun Deng, Tingqin He, Weiping Ding, Zehong Cao

IEEE Access, 2018

Extending CDFR for Overlapping Community Detection.

Nannan Lu, Wenjian Luo, Li Ni, Hao Jiang, Weiping Ding

Proceedings of the 1st International Conference on Data Intelligence and Security, 2018

2017

Soft-Boosted Self-Constructing Neural Fuzzy Inference Network.

Mukesh Prasad, Chin-Teng Lin, Dong-Lin Li, Chao-Ting Hong, Weiping Ding, Jyh-Yeong Chang

IEEE Trans. Syst. Man Cybern. Syst., 2017

A review of clustering techniques and developments.

Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin

Neurocomputing, 2017

2016

Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records.

Weiping Ding, Chin-Teng Lin, Mukesh Prasad, Senbo Chen, Zhijin Guan

IEEE Trans. Syst. Man Cybern. Syst., 2016

A hierarchical-coevolutionary-MapReduce-based knowledge reduction algorithm with robust ensemble Pareto equilibrium.

Weiping Ding, Jiehua Wang, Jiandong Wang

Inf. Sci., 2016

2015

A more efficient attribute self-adaptive co-evolutionary reduction algorithm by combining quantum elitist frogs and cloud model operators.

Weiping Ding, Zhijin Guan, Quan Shi, Jiandong Wang

Inf. Sci., 2015

2013

A novel approach to minimum attribute reduction based on quantum-inspired self-adaptive cooperative co-evolution.

Weiping Ding, Jiandong Wang

Knowl. Based Syst., 2013

A novel quantum cooperative co-evolutionary algorithm for large-scale minimum attribute reduction optimization.

Weiping Ding, Quan Shi, Senbo Chen, Zhijin Guan, Jiandong Wang

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013