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 GatedFusion-Net: Per-pixel modality weighting in a five-cue transformer for RGB-D-I-T-UV fusion Interval-valued matrix factorization and knowledge-guided clustering for trust-aware cross-domain recommendation systems PIFGSR: Pluggable framework for information fusion using generative artificial intelligence (GenAI) in recommender systems Adaptive probabilistic information fusion under concept drift: a generalized bayesian framework Enhancing structural condition assessment in steel pipelines via a WGAN-AAE data fusion methodology Robust multimodal sentiment analysis via double information bottleneck Anchor graph-guided dual-target alignment network for incomplete multi-view clustering Aggregate twice more efficiently: Dual feature aggregation transformer for medical image segmentation Context-aware and multi-view enhanced model for entity alignment Utilizing hierarchical efficacy regions of the human brain for treatment prediction through information fusion MPCL: Multimodal prompt learning for continual relation extraction with type-aware inter-modality alignment Bridging RGB-T image fusion and semantic segmentation via multi-task collaborative learning Consistency analysis of complex fuzzy preferences for two-stage group decision-making with risk perception of prospect theory Matrix mixer analysis for time series classification: Attention on tokenization GLUE3D: General language understanding evaluation for 3D point clouds The duality of generative AI and reinforcement learning in robotics: A review Fast fourier transform gated activation function (FFTGate) Rethinking domain-agnostic continual learning via frequency completeness learning Heterogeneous environment-aware multimodal recommendation with modality alignment MSSDF: Modality-shared self-supervised distillation for high-resolution multi-modal remote sensing image learning Federated learning based water streamflow forecasting via multi-sensor data fusion One model connects all graphs: Towards training one unified model for multi-domain graph pre-training using adaptive vector quantization DivineTree: All-in-one 3D tree modeling with diverse and fused visual guidance Exploring structured uncertainty for external prior-guided hyperspectral image fusion Self-attention and cross-modal attention for audio-visual zero-shot learning LGINet: Linguistic guided image diffusion model for tree species generation and identification from aerial imagery 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