Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

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 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 MFA-NRM: A novel framework for multimodal fusion and semantic alignment in visual neural decoding 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 Fusion techniques of frame and event cameras in autonomous driving: A review Dual alignment: Partial negative and soft-label alignment for text-to-image person retrieval HandDiff: Spatial–temporal diffusion model for hand pose forecasting WaterCycleDiffusion: Visual–textual fusion empowered underwater image enhancement Leveraging dependency and constituent graphs for aspect sentiment triplet extraction Distributed multi-agent fusion state estimation method based on finite-time average consensus for large-scale power systems Fault-tolerant consensus and fault estimation for uncertain multi-agent systems PGF-Net: fusing physical imaging model with self-attention for robust underwater feature detection HyIE: An internal-external induced embedding for knowledge hypergraph link prediction Multi-granularity interval-intent fuzzy concept-cognitive learning: An attention-enhanced adaptive clustering framework Mixture of experts (MoE): A big data perspective 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 FedVCPL-Diff: A federated convolutional prototype learning framework with a diffusion model for speech emotion recognition A multi-stage cuff-less continuous blood pressure estimation method for overcoming subject specificity 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 Embracing knowledge integration from the vision-language model for federated domain generalization on multi-source fused data 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 Review of pedestrian trajectory prediction based on graph neural networks Any-quantile probabilistic forecasting of short-term electricity demand: Fusing uncertainties from diverse sources DeTinyLLM: Efficient detection of machine-generated text via compact paraphrase transformation Quantum-inspired recommendation approach based on user holographic perception under deep collaboration of large model PTFusion: LLM-driven context-aware knowledge fusion for web penetration testing Improving deepfake detection with predictive inter-modal alignment and feature reconstruction in audio–visual asynchrony scenarios HSCFA: Hierarchical sparse and collaborative fusion attention with large foundation models for diagnosing Alzheimer’s disease DSFNet: Dual-fusion network with secondary clustering and feature integration for unsupervised person re-identification MedAide: Information fusion and anatomy of medical intents via LLM-based agent collaboration Channel-adaptive generative reconstruction and fusion for multi-sensor graph features in few-shot fault diagnosis CVT-SimCLR: Contrastive visual representation learning with Conditional Random Fields and cross-modal fusion Bridging imaging and genomics: Domain knowledge guided spatial transcriptomics analysis PrivLSTM: A privacy-preserving LSTM inference framework by fusing encryption and network structure for multi-sourced Data CM[formula omitted]-STNet: Cross-modal image matching with modal-adaptive feature modulation and sparse transformer fusion Aggregation-based self-supervised evidential clustering for imbalanced data Task-oriented multi-scale dynamic feature fusion for robust conveyor belt monitoring