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Viewing Publication 1 - 100 from 487

2026

Uncertain multi-conceptual information acquisition and fusion for hierarchical classificationXiaoyuan Deng, Jinhai Li, Weiping Ding 0001, Xizhao Wang. inffus, 125:103421, 2026. [doi]

A fusion method for large-scale online review rankingMengchun Ma, Bin Yu 0012, Weiping Ding 0001. inffus, 125:103429, 2026. [doi]

2025

Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view ClusteringBingbing Jiang 0001, Chenglong Zhang, Xinyan Liang, Peng Zhou 0006, Jie Yang 0052, Xingyu Wu, Junyi Guan, Weiping Ding 0001, Weiguo Sheng 0001. AAAI 2025: 17617-17625 [doi]

Large language models for cyber resilience: A comprehensive review, challenges, and future perspectivesWeiping Ding 0001, Mohamed Abdel Basset, Ahmed M. Ali 0005, Nour Moustafa. asc, 170:112663, 2025. [doi]

A Generalized $f$f-Divergence With Applications in Pattern ClassificationFuyuan Xiao 0001, Weiping Ding 0001, Witold Pedrycz. tkde, 37(4):1556-1570, April 2025. [doi]

MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable LearningWeiping Ding 0001, Yu Geng, Jiashuang Huang, Hengrong Ju, Haipeng Wang, Chin-Teng Lin. tnn, 36(1):1104-1118, January 2025. [doi]

Knowledge enhanced data analytics based on three-way decision and granular computingWeiping Ding 0001, José Carlos Rodriguez Alcantud, Jianming Zhan 0001, Oscar Castillo 0001, Yiyu Yao. asc, 171:112712, 2025. [doi]

Groupwise Label Enhancement Broad Learning System for Image ClassificationJunwei Jin 0001, Shaokai Chang, Junwei Duan, Yanting Li, Weiping Ding 0001, Zhen Wang 0004, C. L. Philip Chen, Peng Li 0011. tcyb, 55(7):3431-3444, July 2025. [doi]

A survey of evidential clustering: Definitions, methods, and applicationsZuowei Zhang 0001, Yiru Zhang, Hongpeng Tian, Arnaud Martin, Zhunga Liu, Weiping Ding 0001. inffus, 115:102736, 2025. [doi]

Dynamic evidence fusion neural networks with uncertainty theory and its application in brain network analysisWeiping Ding 0001, Tao Hou, Jiashuang Huang, Hengrong Ju, Shu Jiang. isci, 691:121622, 2025. [doi]

Evolutionary multistage multitasking method for feature selection in imbalanced dataWeiping Ding 0001, Hongcheng Yao, Jiashuang Huang, Tao Hou, Yu Geng. swevo, 92:101821, 2025. [doi]

New trends of adversarial machine learning for data fusion and intelligent systemWeiping Ding 0001, Zheng Zhang, Luis Martínez 0001, Yu Huang, Zehong Cao, Jun Liu, Abhirup Banerjee. inffus, 114:102683, 2025. [doi]

Granular ball-based fuzzy multineighborhood rough set for feature selection via label enhancementLin Sun 0002, Wenjuan Du, Weiping Ding 0001, Qian Long, Jiucheng Xu. eaai, 145:110191, 2025. [doi]

FCPFS: Fuzzy Granular Ball Clustering-Based Partial Multilabel Feature Selection With Fuzzy Mutual InformationLin Sun 0002, Qifeng Zhang, Weiping Ding 0001, Tianxiang Wang, Jiucheng Xu. tetci, 9(1):590-606, February 2025. [doi]

CSTS: Exploring Class-Specific and Task-Shared Embedding Representation for Few-Shot LearningHong Zhao 0002, Yuling Su, Zhiping Wu, Weiping Ding 0001. tnn, 36(3):5721-5733, March 2025. [doi]

AFIFC: Adaptive fuzzy neighborhood mutual information-based feature selection via label correlationLin Sun 0002, Feng Xu, Weiping Ding 0001, Jiucheng Xu. PR, 164:111577, 2025. [doi]

Knowledge-Level Fusion: A Novel Information Fusion Mode From the Perspective of Granular ComputingFan Zhao 0003, Qinghua Zhang 0001, Ying Yang, Longjun Yin, Guoyin Wang 0001, Weiping Ding 0001. tcyb, 55(4):1758-1771, April 2025. [doi]

SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed SetBin Yu 0012, Hengjie Xie, Jingxuan Chen, Mingjie Cai, Hamido Fujita, Weiping Ding 0001. tfs, 33(3):881-893, March 2025. [doi]

A classification method based on dominance neighborhood granularityBin Yu 0012, Xu He, Weiping Ding 0001. kbs, 316:113276, 2025. [doi]

SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object DetectionHui Zhang 0091, Guiyang Luo, Xiao Wang 0002, Yidong Li, Weiping Ding 0001, Fei-Yue Wang 0001. tnn, 36(2):2465-2479, February 2025. [doi]

Dual Anchor Graph Fuzzy Clustering for Multiview DataWei Zhang 0221, Xiuyu Huang, Andong Li, Te Zhang, Weiping Ding 0001, Zhaohong Deng, Shitong Wang 0001. tfs, 33(2):730-744, February 2025. [doi]

A decision modeling approach for the development of sustainable transportation oil companiesHassan A. Alsattar, Sarah Qahtan, Nahia Mourad, A. A. Zaidan 0001, Muhammet Deveci, Dragan Pamucar, Jurgita Antucheviciene, Weiping Ding 0001. eaai, 150:110623, 2025. [doi]

A unified framework of semi-supervised community detection integrating network topology and node contentJinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Lu Liu 0001, Anthony Miller, Zhenquan Shi, Weiping Ding 0001. isci, 686:121349, 2025. [doi]

An adaptive heuristic algorithm with a collaborative search framework for multi-UAV inspection planningChang-He, Haibin Ouyang, Weiqing Huang, Steven Li, Chunliang Zhang, Weiping Ding 0001, Zhi-hui Zhan. asc, 174:112969, 2025. [doi]

FRCNN: A Combination of Fuzzy-Rough-Set-Based Feature Discretization and Convolutional Neural Network for Segmenting Subretinal Fluid LesionsQiong Chen, Lirong Zeng, Weiping Ding 0001. tfs, 33(1):350-364, January 2025. [doi]

Photovoltaic parameter extraction through an adaptive differential evolution algorithm with multiple linear regressionBozhen Chen, Haibin Ouyang, Steven Li, Liqun Gao, Weiping Ding 0001. asc, 176:113117, 2025. [doi]

Visual object tracking: Review and challengesZeshi Chen, Caiping Peng, Shuai Liu 0002, Weiping Ding 0001. asc, 177:113140, 2025. [doi]

Dual-stage self-adaptive differential evolution with complementary and ensemble mutation strategiesBozhen Chen, Haibin Ouyang, Steven Li, Weiping Ding 0001. swevo, 93:101855, 2025. [doi]

A review of medical text analysis: Theory and practiceYani Chen, Chunwu Zhang, Ruibin Bai, Tengfang Sun, Weiping Ding 0001, Ruili Wang. inffus, 119:103024, 2025. [doi]

Semi-supervised medical image classification via Cross-Training and Dual-Teacher fusion modelYanyuan Chen, Dexuan Xu, Yiwei Lou, Hang Li, Weiping Ding 0001, Yu Huang 0004. inffus, 124:103389, 2025. [doi]

Broad learning systems: An overview of recent advances, applications, challenges and future directionsYonghe Chu, Yanlong Guo, Weiping Ding 0001, Heling Cao, Peng Ping. ijon, 641:130337, 2025. [doi]

Global-local graph convolutional broad network for hyperspectral image classificationYonghe Chu, Jun Cao, Jiashuang Huang, Hengrong Ju, Guangen Liu, Heling Cao, Weiping Ding 0001. asc, 170:112723, 2025. [doi]

Hyperspectral image classification using feature fusion fuzzy graph broad networkYonghe Chu, Jun Cao, Weiping Ding 0001, Jiashuang Huang, Hengrong Ju, Heling Cao, Guangen Liu. isci, 689:121504, 2025. [doi]

FDBFN: Fuzzy discriminative broad fusion network for hyperspectral image classificationYonghe Chu, Jun Cao, Weiping Ding 0001, Jiashuang Huang, Hengrong Ju, Heling Cao. eswa, 266:126026, 2025. [doi]

Fuzzy Triple Contrastive Learning for Hyperspectral Image ClassificationYonghe Chu, Zhaolong Wang, Jiangtao Peng, Weiping Ding 0001, Heling Cao. tgrs, 63:1-17, 2025. [doi]

RFBLS: A robust rough fuzzy broad learning system with local neighborhood structureYonghe Chu, Yanlong Guo, Peng Li, Weiping Ding 0001, Witold Pedrycz, Heling Cao. ijon, 647:130544, 2025. [doi]

Visual-Semantic Graph Matching Net for Zero-Shot LearningBowen Duan, Shiming Chen 0002, Yufei Guo, Guo-Sen Xie, Weiping Ding 0001, Yisong Wang. tnn, 36(6):10171-10185, June 2025. [doi]

A novel multi-source information fusion method for emergency spatial resilience assessment based on Dempster-Shafer theoryLiguo Fei, Tao Li, Xiaoyu Liu, Weiping Ding 0001. isci, 686:121373, 2025. [doi]

A state-of-the-art survey on neural computation-enhanced Dempster-Shafer theory for safety accidents: Applications, challenges, and future directionsLiguo Fei, Tao Li, Weiping Ding 0001. ijon, 643:130419, 2025. [doi]

MGC-DMF: A traffic flow forecasting method based on multi-graph spatio-temporal convolution and dynamic metric fusion with multi-source basic informationJi Feng, Jiashuang Huang, Weiping Ding 0001, Chang Guo, Zhenquan Shi. asc, 177:113178, 2025. [doi]

Fuzzy Granule Density-Based Outlier Detection With Multi-Scale Granular BallsCan Gao, Xiaofeng Tan, Jie Zhou 0009, Weiping Ding 0001, Witold Pedrycz. tkde, 37(3):1182-1197, March 2025. [doi]

Referring flexible image restorationRunwei Guan, Rongsheng Hu, Zhuhao Zhou, Tianlang Xue, Ka Lok Man, Jeremy S. Smith, Eng Gee Lim, Weiping Ding 0001, Yutao Yue. eswa, 274:126857, 2025. [doi]

CD-UDepth: Complementary dual-source information fusion for underwater monocular depth estimationJiawei Guo, Jieming Ma, Feiyang Sun, Zhiqiang Gao, Ángel F. García-Fernández, Hai-Ning Liang, Xiaohui Zhu, Weiping Ding 0001. inffus, 118:102961, 2025. [doi]

Cross-Graph Interaction NetworksQihang Guo, Xibei Yang, Weiping Ding 0001, Yuhua Qian. tkde, 37(5):2341-2355, May 2025. [doi]

Aczel-Alsina operations-based linguistic q-rung orthopair fuzzy aggregation operators and their application to site selection of electric vehicle charging stationShahid Hussain Gurmani, Muhammad Jabir Khan, Weiping Ding 0001, Rana Muhammad Zulqarnain. eaai, 154:110989, 2025. [doi]

Quality-aware fuzzy min-max neural networks for dynamic brain network analysis and its application to schizophrenia identificationTao Hou, Weiping Ding 0001, Jiashuang Huang, Shu Jiang, Hongcheng Yao, Tianyi Zhou 0001, Hengrong Ju. asc, 169:112538, 2025. [doi]

Collaborative Semantic Contrastive for All-in-one Image RestorationBin Hu, Sai Yang, Fan Liu, Weiping Ding 0001. eaai, 143:110017, 2025. [doi]

A Multirate-Fused State-of-Charge Estimation Scheme of Lithium-Ion Batteries for Electric Vehicles With Energy Harvesting SensorsCong Huang, Quan Shi, Weiping Ding 0001, Edmond Qi Wu, Peng Mei. tim, 74:1-11, 2025. [doi]

Hybrid multivariate time series prediction system fusing transfer entropy and local relative densityXianfeng Huang, Jianming Zhan 0001, Weiping Ding 0001. inffus, 117:102817, 2025. [doi]

AGBN-Transformer: Anatomy-guided brain network transformer for schizophrenia diagnosisJiashuang Huang, Mingliang Wang, Hengrong Ju, Weiping Ding 0001, Daoqiang Zhang. bspc, 102:107226, 2025. [doi]

Local structural-functional coupling with counterfactual explanations for epilepsy predictionJiashuang Huang, Shaolong Wei, Zhen Gao, Shu Jiang, Mingliang Wang, Liang Sun 0009, Weiping Ding 0001, Daoqiang Zhang. neuroimage, 306:120978, 2025. [doi]

Deep learning in produce perception of harvesting robots: A comprehensive reviewYuhao Jin, Xiaoyu Xia, Qizhong Gao, Yong Yue 0001, Eng Gee Lim, Prudence W. H. Wong, Weiping Ding 0001, Xiaohui Zhu. asc, 174:112971, 2025. [doi]

Class-specific semi-supervised feature selection with fuzzy convex balling information granularityHengrong Ju, Jiarong Li, Weiping Ding 0001, Xiaoxue Fan, Jiashuang Huang, Suping Xu, Xibei Yang. isci, 700:121821, 2025. [doi]

D3WC: Deep three-way clustering with granular evidence fusionHengrong Ju, Jing Guo, Weiping Ding 0001, Xibei Yang. inffus, 114:102699, 2025. [doi]

Group decision making using circular intuitionistic fuzzy preference relationsMuhammad Jabir Khan, Weiping Ding 0001, Shu Jiang, Muhammad Akram 0001. eswa, 270:126502, 2025. [doi]

Separable N-soft sets: A tool for multinary descriptions with large-scale parameter setsMuhammad Jabir Khan, José Carlos Rodriguez Alcantud, Muhammad Akram 0001, Weiping Ding 0001. apin, 55(6):561, April 2025. [doi]

Effective latent hierarchical feature fusion in multiple instance learning for Whole Slide Image classificationQingzhi Lan, Yaozu Wu, Weiping Ding 0001, Jingping Yuan. asc, 177:113191, 2025. [doi]

DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud LearningYushi Li, George Baciu, Rong Chen 0003, Chenhui Li, Hao Wang 0003, Yushan Pan, Weiping Ding 0001. tnn, 36(5):9195-9209, May 2025. [doi]

Fusion-enhanced multi-label feature selection with sparse supplementationYonghao Li, Xiangkun Wang, Xin Yang 0012, Wanfu Gao, Weiping Ding 0001, Tianrui Li 0001. inffus, 117:102813, 2025. [doi]

A Survey on Deep Active Learning: Recent Advances and New FrontiersDongyuan Li, Zhen Wang, Yankai Chen 0001, Renhe Jiang, Weiping Ding 0001, Manabu Okumura. tnn, 36(4):5879-5899, April 2025. [doi]

Cognitive Disentanglement for Referring Multi-Object TrackingShaofeng Liang, Runwei Guan, Wangwang Lian, Daizong Liu, Xiaolou Sun, Dongming Wu, Yutao Yue, Weiping Ding 0001, Hui Xiong 0001. inffus, 124:103349, 2025. [doi]

Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral EnhancementChe Liu, Sibo Cheng, Weiping Ding 0001, Rossella Arcucci. tnn, 36(1):692-703, January 2025. [doi]

Modeling and effect analysis of machining parameters for surface roughness and specific energy consumption during TC18 machining using deep reinforcement learning and neural networksJuan Lu, Huailong Mu, Haibin Ouyang, Zhenkun Zhang, Weiping Ding 0001. air, 58(7):193, July 2025. [doi]

Multi-stage feature fusion network for polyp segmentationGuangzu Lv, Bin Wang 0062, Cunlu Xu, Weiping Ding 0001, Jun Liu 0001. asc, 175:113034, 2025. [doi]

MI-MCF: A Mutual Information-Based Multilabel Causal Feature SelectionLin Ma, Liang Hu 0001, Yonghao Li, Weiping Ding 0001, Wanfu Gao. tnn, 36(6):9864-9878, June 2025. [doi]

SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing CombinationXiaoyong Mei, Kejin Zhang, Changqin Huang, Xiao Chen, Ming Li 0065, Zhao Li 0007, Weiping Ding 0001, Xindong Wu 0001. tetci, 9(3):2410-2426, June 2025. [doi]

Two-Stage Deep Feature Selection Method Using Voting Differential Evolution Algorithm for Pneumonia Detection From Chest X-Ray ImagesHaibin Ouyang, Dongmei Liu, Steven Li, Weiping Ding 0001, Zhi-hui Zhan. tetci, 9(1):918-932, February 2025. [doi]

BEV-TinySpotter: A novel BEV perception method considering multi-dimensional feature fusion of small targetPeng Ping, Zhengpeng Yang, Lu Tao, Quan Shi, Weiping Ding 0001. inffus, 116:102793, 2025. [doi]

Robust three-way decisions based on ensembled multi-divergence measures with circular quintic fuzzy sets for developing swarm robots in mechanised agricultural operationsSarah Qahtan, Nahia Mourad, Hassan A. Alsattar, Aws Alaa Zaidan, Bilal Bahaa, Weiping Ding 0001. eswa, 266:126102, 2025. [doi]

Normal wiggly hesitant fuzzy modelling approach for 6G frameworks based blockchain technologySarah Qahtan, Nahia Mourad, Hassan Abdulsattar Ibrahim, Aws Alaa Zaidan, Bilal Bahaa, Muhammet Deveci, Weiping Ding 0001, Dragan Pamucar, Witold Pedrycz, Saraswathy Shamini. eswa, 259:125304, 2025. [doi]

Three-way Decision Approach Based on Utility and Dynamic Localization Transformational Procedures within a Circular q-Rung Orthopair Fuzzy Set for Ranking and Grading Large Language ModelsSarah Qahtan, Nahia Mourad, Hassan A. Alsattar, A. A. Zaidan 0001, B. B. Zaidan, Dragan Pamucar, Vladimir Simic, Weiping Ding 0001, Khaironi Yatim Sharif. cogcom, 17(2):77, April 2025. [doi]

Granular ball-based partial label feature selection via fuzzy correlation and redundancyWenbin Qian, Junqi Li, Xinxin Cai, Jintao Huang, Weiping Ding 0001. isci, 709:122047, 2025. [doi]

A survey on multi-view fusion for predicting links in biomedical bipartite networks: Methods and applicationsYuqing Qian, Yizheng Wang, Junkai Liu, Quan Zou 0001, Yijie Ding, Xiaoyi Guo, Weiping Ding 0001. inffus, 117:102894, 2025. [doi]

WrdaGAN: A text-to-image synthesis pipeline based on Wavelet Representation and Adaptive Sample Domain Constraint strategyYongchao Qiao, Ya'nan Guan, Shujiao Liao, Wenyuan Yang, Weiping Ding 0001, Lin Ouyang. eaai, 158:111305, 2025. [doi]

JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representationsZhenquan Shi, Wengjian Zhang, Jiashuang Huang, Weiping Ding 0001. isci, 706:122011, 2025. [doi]

SUFT: Sparse and Uncertain Fusion Transformers for Multi-Atlas Brain Network AnalysisZhan Su, Jiashuang Huang, Shu Jiang, Mingliang Wang, Weiping Ding 0001. icassp 2025: 1-5 [doi]

Semi-supervised partially labeled heterogeneous feature selection based on information-theoretic three-way decision modelQianqian Sun, Hongying Zhang, Weiping Ding 0001. asc, 174:112880, 2025. [doi]

Multi-View Fusion Graph Attention Network for Multilabel Class Incremental LearningAnhui Tan, Yu Wang 0106, Wei-Zhi Wu 0001, Weiping Ding 0001, Jiye Liang. inffus, 123:103309, 2025. [doi]

Double deep Q-network-based dynamic offloading decision-making for mobile edge computing with regular hexagonal deployment structure of serversXiaoan Tang, Tianxiang Tang, Zibo Shen, Handong Zheng, Weiping Ding 0001. asc, 169:112594, 2025. [doi]

Feature Selection and Classification Based on Directed Fuzzy Rough SetsChangyue Wang, Changzhong Wang, Shuang An, Weiping Ding 0001, Yuhua Qian. tsmc, 55(1):699-711, January 2025. [doi]

Graph-in-graph discriminative feature enhancement network for fine-grained visual classificationYupeng Wang, Can Xu, Yongli Wang, Xiaoli Wang, Weiping Ding 0001. apin, 55(1):22, January 2025. [doi]

SCNN: Spike Coupling Neural Network for Multimodal Brain Network AnalysisShaolong Wei, Jiashuang Huang, Mingliang Wang, Shu Jiang, Weiping Ding 0001. icassp 2025: 1-5 [doi]

Dynamic Fuzzy Sampler for Graph Neural NetworksJia Wei, Xingjun Zhang, Witold Pedrycz, Weiping Ding 0001. tfs, 33(4):1357-1368, April 2025. [doi]

A Classification-Based Product Selection Method Based on Online Reviews on Multifaceted AttributesXingli Wu, Huchang Liao, Benjamin Lev, Weiping Ding 0001. tcss, 12(1):11-24, February 2025. [doi]

GRNN Model With Feedback Mechanism Incorporating k-Nearest Neighbor and Modified Gray Wolf Optimization Algorithm in Intelligent TransportationXunjin Wu, Jianming Zhan 0001, Weiping Ding 0001, Witold Pedrycz. tits, 26(3):3855-3872, March 2025. [doi]

An integrated consensus-oriented decision-making framework for exploring the barriers and applications of medical digital twinsQun Wu, Weiqi Tan, Ligang Zhou, Muhammet Deveci, Weiping Ding 0001, Luis Martínez-López 0001, Dragan Pamucar. eswa, 284:127683, 2025. [doi]

GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough SetShuyin Xia, Cheng Wang 0003, Guoyin Wang 0001, Xinbo Gao 0001, Weiping Ding 0001, Jianhang Yu, Yujia Zhai, Zizhong Chen. tnn, 36(1):1719-1733, January 2025. [doi]

Selecting Central and Divergent Samples via Leading Tree Metric Space for Semisupervised LearningJi Xu, Gang Ren, Jianhang Tang, Weiping Ding 0001, Guoyin Wang 0001. tfs, 33(5):1578-1591, May 2025. [doi]

Adaptive sequential three-way decisions for dynamic time warpingJianfeng Xu, Ruihua Wang, Yuanjian Zhang, Weiping Ding 0001. isci, 690:121541, 2025. [doi]

Fine-grained entity typing based on hyperbolic representation and label-context interactionMingying Xu, Wenxuan Zhang, Jie Liu, Weiping Ding 0001, Lei Shi 0030, Kaiyang Zhong. isci, 719:122434, 2025. [doi]

IPT-ILR: Image Pyramid Transformer Coupled With Information Loss Regularization for All-in-One Image RestorationSai Yang, Bin Hu 0023, Fan Liu 0003, Xiaoxin Wu 0004, Weiping Ding 0001, Jun Zhou 0001. tcsv, 35(5):4341-4356, May 2025. [doi]

Exploring Radar Data Representations in Autonomous Driving: A Comprehensive ReviewShanliang Yao, Runwei Guan, Zitian Peng, Chenhang Xu, Yilu Shi, Weiping Ding 0001, Eng Gee Lim, Yong Yue 0001, Hyungjoon Seo, Ka Lok Man, Jieming Ma, Xiaohui Zhu, Yutao Yue. tits, 26(6):7401-7425, June 2025. [doi]

The fuzzy hypergraph neural network model based on sparse k-nearest neighborhood granuleTao Yin, Weiping Ding 0001, Hengrong Ju, Jiashuang Huang, Yuepeng Chen. asc, 170:112721, 2025. [doi]

Learning Dynamic-Sensitivity Enhanced Correlation Filter With Adaptive Second-Order Difference Spatial Regularization for UAV TrackingYu-Feng Yu, Zhongsen Chen, Yang Zhang 0053, Chuanbin Zhang, Weiping Ding 0001. tits, 26(5):7211-7230, May 2025. [doi]

Semantic Prompt Enhancement for Semi-Supervised Low-Light Salient Object DetectionNana Yu, Jie Wang, Zihao Zhang, Yahong Han, Weiping Ding 0001. tnn, 36(6):9933-9945, June 2025. [doi]

Exploration and development of a structured multi-level fusion in an ensemble-based large-scale meta-decision modelB. B. Zaidan, Weiping Ding 0001, Hassan A. Alsattar, Nahia Mourad, A. A. Zaidan 0001, Sarah Qahtan, Theam Foo Ng, Yu-Rou Zeng, Ibrahim Alshakhatreh. inffus, 117:102911, 2025. [doi]

Time Series Forecasting Based on Improved Multilinear Trend Fuzzy Information Granules for Convolutional Neural NetworksRonghua Zhang, Jianming Zhan 0001, Weiping Ding 0001, Witold Pedrycz. tfs, 33(3):1009-1023, March 2025. [doi]

Improved two-view interactional fuzzy learning based on mutual-rectification and knowledge-mergenceTa Zhou, Wei Yan, Zhengxin Xia, Shuihua Wang, Ge Ren, Bing Li 0001, Weiping Ding 0001, Jing Cai. NN, 189:107576, 2025. [doi]

Document-Level Neural Machine Translation With Document EmbeddingsLinxing Zhu, Shu Jiang, Hai Zhao 0001, Zuchao Li, Jiashuang Huang, Weiping Ding 0001, Bao-Liang Lu. access, 13:87015-87025, 2025. [doi]

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