Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

Edge-guided conditional diffusion model for multi-contrast MRI super-resolution A review for image–text matching from deep learning perspective Rank-aware LDL hybrid MetaFormer for Compound Facial Expression Recognition in-the-wild Mitigating malicious model fusion in federated learning via confidence-aware defense From GNN to MLP: Enhancing learning with knowledge-augmented distillation and confidence guidance MVG-Splatting: Multi-view guided Gaussian Splatting with adaptive quantile-based geometric consistency densification Diffusion-prior based implicit neural representation for arbitrary-scale cardiac cine MRI super-resolution XpertDx: Expert-level diabetic retinopathy lesion segmentation with cross-domain feature fusion A data-driven digital twin model for bridge health monitoring using feature fusion and unsupervised deep learning Improved consensus evolution networks for supporting large-scale group decision making Multi-level vision language interaction learning for cross-modal retrieval ST-Camba: A decoupled-free spatiotemporal graph fusion state space model with linear complexity for efficient traffic forecasting MARNet: Multi-scale adaptive relational network for robust point cloud completion via cross-modal fusion Interpretable research of fuzzy methods: A literature survey Integrating images and genomics for multi-modal cancer survival analysis via mixture of experts Choquet-inspired aggregation functions Unsupervised feature selection via unifying distribution alignment and structure preservation Three-way decision oriented rational behavior multi-attribute decision-making SmartFL: Simple majority rule based Byzantine-robust federated learning Unsupervised multi-view feature selection via attentive hierarchical bipartite graphs with optimizable graph filter LLaVA-based semantic feature modulation diffusion model for underwater image enhancement M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model Physics-guided domain adaptation for surgical image restoration under heterogeneous aerosol degradation Multi-period prediction of residual lung lesions in COVID-19 survivors with multi-head temporal constrained network Consensus-based distributed secure state estimation for cyber-physical systems against random cyber attacks Text-Dominant Speech-Enhanced for Multimodal Aspect-Based Sentiment Analysis network Bayesian inference and minimum consensus adjustment process for multi-attribute large-scale group decision-making in social networks InKrat: Interpretable diagnosis prediction models based on cross-modal knowledge graph semantic retrieval fusion Magic: AN LLM-based multi-agent activated graph-reasoning intelligent collaboration model for liver disease diagnosis Query-guided multimodal learning network for anomaly detection underneath high-speed trains Quantum-inspired complex spiking neural network for multi-source data joint classification GVFL: A group-verifiable federated learning with privacy DeepTurbid:Underwater marker detection and pose estimation in turbid conditions Ensemble deep learning approach for marine vessel classification: Integrating CNN and vision transformers with machinery feature enhancement Map4comm: A map-aware collaborative perception framework with efficient-bandwidth information fusion Urban data fusion for spatio-temporal incident forecasting using graph attention and generative AI Improving the representational power of graph neural networks via mixed substructure learning Goal-oriented multi-robot collaborative source search with dynamic exploration–exploitation balance in large-scale constrained areas Cross-modality-enhanced visual Scene Graph Generation DUSTFN: A dual-path U spatiotemporal fusion network for wind speed prediction From data to diagnosis: AI-driven multi-modal fusion and generative AI-enhanced GAN-based MRI for brain tumour detection MM5: Multimodal image capture and dataset generation for RGB, depth, thermal, UV, and NIR DAFNet: A novel Dynamic Adaptive Fusion Network for medical image classification A dynamically updated consensus model for large-scale group decision-making driven by the evolution of public sentiment in emergencies MambaEviScrib: Mamba and evidence-guided consistency enhance CNN robustness for scribble-based weakly supervised ultrasound image segmentation To lock the authentic signals: mitigating GNSS spoofing with INS-aided tracking Dual-attentional time-aware fusion networks for knowledge tracing LLM supporting knowledge tracing leveraging global subject and student specific knowledge graphs BDSFusion: A bidirectionally driven saliency fusion network for enhancing small target detection in infrared dual-band images From target tracking to targeting track-Part II: Regularized polynomial trajectory optimization