Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

PairHuman: A high-fidelity photographic dataset for customized dual-person generation Multi-view anchor subspace clustering via consensus-specific reconstruction Hyperdimensional computing for explainable information fusion and multi-task adaptation in advanced manufacturing RASMD: RGB and SWIR multispectral driving dataset for robust perception in adverse conditions Fed-e3 : A tri-level federated fairness evaluation framework with statistical guarantees and privacy preservation GKG-LLM: A unified framework for generalized knowledge graph construction Joint multi-view embedding with progressive multi-scale alignment for unaligned infrared-visible image fusion Echo: Generating cross-modal features for unseen classes in zero-shot remote sensing image captioning Visual fidelity-oriented compression via representation fusion and diffusion reconstruction Flexible exploration: A hyperspectral image classification framework based on dynamic scale and graph optimal transport Robust factor information fusion for industrial safety through TSFD-Based phase space reconstruction and noise reduction Learning Bi-directional fusion and deformation-sensitive loss for RGB-T tiny object detection ABVnet: Adapter-based fine-tuning Bimodal ViTs network for Dynamic Facial Expression Recognition in-the-wild Hypergraph facilitated feature fusion of multi-prototype for BRAF mutation prediction of thyroid cancer using cytology slides InScope: A new real-world 3D infrastructure-side collaborative perception dataset for open traffic scenarios Multi-level semantics-aware and multi-granularity knowledge-infused model for emotional support conversation A multimodal information fusion framework for accurate and robust prediction of drug–drug interactions Bridging the gap, not forcing the tie: dual-space alignment and fusion framework for toxic memes detection Privacy-aware detection of fake identity documents: methodology, benchmark, and improved algorithms (FakeIDet2) Multimodal recommender systems: A survey of representation, modeling, and optimization Perturb and restore: Efficient category revocation in federated unlearning Exploring brain-heart interactions: advances in physiological signal fusion for healthcare PAREformer: positional adaptive and recurrent enhanced transformer for time series forecasting PV-MM3D: Point-voxel parallel dual-stream framework with dual-attention region adaptive fusion for multimodal 3D object detection Deep convolutional state space model as human activity recognizer Digital twin for atrial fibrillation: fundamentals, current advances, challenges and future perspectives Multi-modal fusion for robust micro-expression detection: Integrating temporal spotting and emotion classification A robust generative dynamic transfer model for carbon emission price prediction based on multi-source information fusion and feature representation enhancement BrainDEC: A Multimodal LLM for the Non-Invasive Decoding of Text from Brain Recordings Targeted ensemble defense against unauthorized text-to-image identity customization Towards explainable multilabel learning: Fusing label dependency analysis with monotonic decision trees A two-stage clustering method and consensus based on trust excitation and conflict hindrance for large-scale group decision-making with complex social relationships ChronoSentinel: Incremental temporal embedding for Security Knowledge Graph using Dynamic Reachability Centrality and Efficient language model Multimodal uncertainty state-space fusion network with generative endmember modeling for hyperspectral unmixing Distributed multi-agent fusion state estimation method based on finite-time average consensus for large-scale power systems PGF-Net: fusing physical imaging model with self-attention for robust underwater feature detection Multi-granularity interval-intent fuzzy concept-cognitive learning: An attention-enhanced adaptive clustering framework ObjSegAD-Net: Region-aware pseudo-defect injection and dual-branch architecture for unsupervised industrial anomaly detection Beyond embedding-mapping: Social network alignment via generative information fusion and LLM-guided iterative mechanism MFA-NRM: A novel framework for multimodal fusion and semantic alignment in visual neural decoding Verifying energy generation via edge LLM for web3-based decentralized clean energy networks Fusing sequential recommender and ad-hoc planner for multi-faceted preference understanding in conversational recommendation A kernelized fuzzy approximation fusion model with granular-ball computing for outlier detection Brain tumor segmentation via cross-modality semi-supervised transfer learning with 3D MRI diffusion model synthetic ultrasound AirGPT: Spatio-temporal large language model for air quality prediction Focus and learn: boosting deep multi-view clustering via hard instance awareness Dual-level principal component fusion networks for synthetic speech detection Affine modulation-based audiogram fusion network for joint noise reduction and hearing loss compensation Hierarchical knowledge fusion for enhanced health event prediction: Discriminating between frequent and new diseases FII-DETR: Few-shot object detection with fully information interaction